Mark J. Schnitzer
Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences and Professor of Biology, of Applied Physics and of Neurosurgery
Academic Appointments
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Professor, Biology
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Professor, Applied Physics
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Professor, Neurosurgery
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Member, Bio-X
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Member, Wu Tsai Neurosciences Institute
Honors & Awards
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National Academy of Sciences, Committee on Biological Physics, A Decadal Survey, National Academy of Sciences (2019-present)
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Scientific Advisory Council, Allen Institute for Brain Science, MindScope Project, Allen Institute for Brain Science (2019-2020)
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2019 Method of the Year, Nature Methods, awarded to the miniature fluorescence microscope, Cell Press (2019)
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Course Lecturer, “Functional, Structural, & Molecular Imaging”, Soc. for Neuroscience Annual Meeting, Society for Neuroscience (2018)
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Course Lecturer, FENS Cajal Neuroscience Training Course, “Interacting with Neural Circuits”, Federation of European Neuroscience Societies (2017)
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Editorial Board, Neuron, Cell Press, Cell Press (2016-present)
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Scientific Advisory Board, NSF National Center for Brain Mapping, National Science Foundation (2016-present)
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Co-Organizer, DECODE Summit, Neural Circuits and Brain Disease, Inscopix, Inc. (2016)
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Caltech, Wiersma Visiting Professor, California Institute of Technology (2015)
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Co-Organizer, Cell Press Symposium, “Engineering the Brain”, Cell Press (2015)
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Invited Speaker, White House Office of Science & Technology, BRAIN Initiative Meeting, United States BRAIN Initiative (2015)
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Issue Editor, Current Opinion in Neurobiology, Current Opinion in Neurobiology (2015)
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NIH BRAIN Initiative Multi-Council Working Group, which oversees the BRAIN Initiative, National Institutes of Health (2014-17)
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NIH National Institute on Drug Abuse (NIDA), National Advisory Council, Ad hoc member, National Institutes of Health (2014-17)
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Milken Institute Global Conference, Invited Panelist, Milken Institute (2014)
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NIMH Director’s Innovation Speaker, National Institutes of Health (2014)
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White House BRAIN Conference, Invited Panelist, United States BRAIN Initiative (2014)
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NIH, Parkinson Disease Basic Science Working Group, National Institutes of Health (2013-14)
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United States BRAIN Initiative NIH Director’s Advisory Committee, which authored “BRAIN 2025”, National Institutes of Health (2013-14)
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14th Distinguished Kavli Lecture, Kavli Institute for Systems Neuroscience, NTNU, Trondheim, Norway (2013)
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Finalist (on behalf of Inscopix, for our lab’s miniature microscope), Israel Brain Prize, Tel Aviv (2013)
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Top Innovation of 2013 (miniature fluorescence microscope), The Scientist (2013)
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Ellison Senior Scholar Award, Ellison Foundation (2012)
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National Academy Keck Futures Initiative Award, W.M. Keck Foundation (2011)
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Allen Distinguished Investigator Award, Paul G. Allen Family Foundation (2010)
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Michael & Kate Bárány Young Investigator Award, Biophysical Society (2010)
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HHMI Investigator, Howard Hughes Medical Institute (2008)
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Best Techniques Paper, Co-Author, American Society of Biomechanics (2007)
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NIH Director's Pioneer Award, National Institutes of Health (2007)
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The Brilliant 10, Top ten brilliant scientists under age 40, Popular Science Magazine (2007)
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W.M. Keck Foundation, Medical Research Program grant, W.M. Keck Foundation (2007)
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Terman Fellow, Stanford University (2006)
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Alfred P. Sloan Foundation Research Fellow, Alfred P. Sloan Foundation (2005)
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Beckman Interdisciplinary Translational Research Program Award, Stanford University (2005)
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Fellowship in Science & Engineering, David & Lucille Packard Foundation (2005)
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Klingenstein Fellowship in the Neurosciences, Klingenstein Foundation (2004)
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Presidential Early Career Award in Science and Engineering 2004, Presented at the White House on June 13, 2005 (2004)
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Young Investigator Award, Office of Naval Research, Cognitive & Neural Division (2004)
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Young Investigator Award, Beckman Foundation (2004)
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Cutting Edge Basic Research Award (CEBRA) Science, National Institutes of Health (2003)
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Member of TR100,World's Top 100 Innovators under age 35, Technology Review Magazine (2003)
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Young Investigator Award (with #1 world ranking), Human Frontiers in Science Program (2002)
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McKnight Technological Innovations in Neuroscience Award, McKnight Foundation (2000)
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Burroughs Wellcome Fellowship, Program in Mathematics and Molecular Biology (1998-1999)
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Charlotte Elizabeth Procter Honorific Fellowship, Princeton Univeristy (1997-1998)
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Predoctoral Fellowship, American Heart Association (1996-1998)
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Predoctoral Fellowship, NSF (1993-1996)
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Winston Churchill Fellowship, Winston Churchill Foundation of the United States (1992-1993)
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Junior Phi Beta Kappa for top 12 Junior men, Harvard University (1991)
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Barry Goldwater Fellowship for Excellence in Science, United States, Barry Goldwater Fellowship for Excellence in Science, United States (1990)
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John Harvard Scholarships, John Harvard Scholarships (1989-1991)
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Detur Scholar, Harvard University (1989)
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United States Physics Team, International Physics Olympiad, Bad Ischl, Austria (1988)
Current Research and Scholarly Interests
The long-term goal of our research is to advance experimental paradigms for understanding normal cognitive and disease processes at the level of neural circuits, with emphasis on learning and memory processes. By contrast, much current research on learning and memory concentrates on levels of organization in the nervous system that are either more macroscopic (e.g. in cognitive psychology) or more microscopic (e.g. in synaptic physiology).
Our approach combines behavioral, electrophysiological, and computational methodologies with high-resolution fluorescence optical imaging that is capable of resolving individual neurons and dendrites. By necessity, we aim to advance imaging methods so that we can examine dynamics of neuronal populations or of dendritic compartments in behaving animals. En route, we are also performing experiments on circuit properties in anesthetized animals, such as the studies that use our newly invented fluorescence endoscopes for examining hippocampal cells and dendrites in vivo.
We seek explanations that span different levels of organization, from cells to entire circuits. We work with both genetic model organisms, mice and fruit flies, and human subjects. Our research emphasizes understanding the control and learning of motor behaviors, as well as the potential application of our newly developed imaging techniques to clinical use in humans.
2024-25 Courses
- Advanced Imaging Lab in Biophysics
APPPHYS 232, BIO 132, BIO 232, BIOE 232, BIOPHYS 232, GENE 232 (Spr) - Introduction to Biophysics
APPPHYS 205, BIO 126, BIO 226 (Win) -
Independent Studies (16)
- Bioengineering Problems and Experimental Investigation
BIOE 191 (Aut, Win, Spr, Sum) - Curricular Practical Training
APPPHYS 291 (Aut, Win, Spr, Sum) - Directed Investigation
BIOE 392 (Aut, Win, Spr, Sum) - Directed Reading in Biology
BIO 198 (Aut, Win, Spr, Sum) - Directed Reading in Biophysics
BIOPHYS 399 (Aut, Win, Spr, Sum) - Directed Reading in Neurosciences
NEPR 299 (Aut, Win, Spr, Sum) - Directed Studies in Applied Physics
APPPHYS 290 (Aut, Win, Spr, Sum) - Directed Study
BIOE 391 (Aut, Win, Spr, Sum) - Graduate Research
BIO 300 (Aut, Win, Spr, Sum) - Graduate Research
BIOPHYS 300 (Aut, Win, Spr, Sum) - Graduate Research
BMP 399 (Aut, Win, Spr, Sum) - Graduate Research
NEPR 399 (Aut, Win, Spr, Sum) - Independent Research and Study
PHYSICS 190 (Aut, Win, Spr, Sum) - Research
PHYSICS 490 (Aut, Win, Spr, Sum) - Teaching Practicum in Biology
BIO 290 (Aut, Win, Spr, Sum) - Undergraduate Research
BIO 199 (Aut, Win, Spr, Sum)
- Bioengineering Problems and Experimental Investigation
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Prior Year Courses
2023-24 Courses
- Advanced Imaging Lab in Biophysics
APPPHYS 232, BIO 132, BIO 232, BIOE 232, BIOPHYS 232, GENE 232 (Spr) - Introduction to Biophysics
APPPHYS 205, BIO 126, BIO 226 (Win)
2022-23 Courses
- Advanced Imaging Lab in Biophysics
APPPHYS 232, BIO 132, BIO 232, BIOPHYS 232, GENE 232 (Spr) - Introduction to Biophysics
APPPHYS 205, BIO 126, BIO 226 (Win)
2021-22 Courses
- Advanced Imaging Lab in Biophysics
APPPHYS 232, BIO 132, BIO 232, BIOPHYS 232, GENE 232 (Spr) - Introduction to Biophysics
APPPHYS 205, BIO 126, BIO 226 (Win)
- Advanced Imaging Lab in Biophysics
Stanford Advisees
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Postdoctoral Faculty Sponsor
Marta Blanco Pozo, Xiaochun Cai, Xiqian Jiang, Iason Keramidis, Itamar Landau, Hansol Lim, Christopher Miranda, Michelle Redinbaugh, Yu Shikano, Xiaochen Sun, Lun Wang, Seung Je Woo, Peiyi Zhang -
Doctoral Dissertation Advisor (AC)
Ethan Cheng, Fatih Dinc, Daniil Eskoskin, Omer Hazon, Yiqi Jiang, Yuxi Ke, Vasily Kruzhilin, Yang Li, Elijah Paul, Benny Weng, Tom Yoda, Zhengji Zhang -
Doctoral Dissertation Co-Advisor (AC)
Yixiu Zhao -
Postdoctoral Research Mentor
Adeeti Aggarwal -
Doctoral (Program)
Areeq Hasan, Yijun Jiang, Yang Li, Zhiru Liu, Victor Wei, Xin Wei, Yixiu Zhao
Graduate and Fellowship Programs
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Biology (School of Humanities and Sciences) (Phd Program)
All Publications
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Wide-field fluorescence lifetime imaging of neuron spiking and subthreshold activity in vivo.
Science (New York, N.Y.)
2023; 380 (6651): 1270-1275
Abstract
The development of voltage-sensitive fluorescent probes suggests fluorescence lifetime as a promising readout for electrical activity in biological systems. Existing approaches fail to achieve the speed and sensitivity required for voltage imaging in neuroscience applications. We demonstrated that wide-field electro-optic fluorescence lifetime imaging microscopy (EO-FLIM) allows lifetime imaging at kilohertz frame-acquisition rates, spatially resolving action potential propagation and subthreshold neural activity in live adult Drosophila. Lifetime resolutions of <5 picoseconds at 1 kilohertz were achieved for single-cell voltage recordings. Lifetime readout is limited by photon shot noise, and the method provides strong rejection of motion artifacts and technical noise sources. Recordings revealed local transmembrane depolarizations, two types of spikes with distinct fluorescence lifetimes, and phase locking of spikes to an external mechanical stimulus.
View details for DOI 10.1126/science.adf9725
View details for PubMedID 37347862
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An approximate line attractor in the hypothalamus encodes an aggressive state.
Cell
2023; 186 (1): 178
Abstract
The hypothalamus regulates innate social behaviors, including mating and aggression. These behaviors can be evoked by optogenetic stimulation of specific neuronal subpopulations within MPOA and VMHvl, respectively. Here, we perform dynamical systems modeling of population neuronal activity in these nuclei during social behaviors. In VMHvl, unsupervised analysis identified a dominant dimension of neural activity with a large time constant (>50 s), generating an approximate line attractor in neural state space. Progression of the neural trajectory along this attractor was correlated with an escalation of agonistic behavior, suggesting that it may encode a scalable state of aggressiveness. Consistent with this, individual differences in the magnitude of the integration dimension time constant were strongly correlated with differences in aggressiveness. In contrast, approximate line attractors were not observed in MPOA during mating; instead, neurons with fast dynamics were tuned to specific actions. Thus, different hypothalamic nuclei employ distinct neural population codes to represent similar social behaviors.
View details for DOI 10.1016/j.cell.2022.11.027
View details for PubMedID 36608653
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Dual-polarity voltage imaging of the concurrent dynamics of multiple neuron types.
Science (New York, N.Y.)
2022; 378 (6619): eabm8797
Abstract
Genetically encoded fluorescent voltage indicators are ideally suited to reveal the millisecond-scale interactions among and between targeted cell populations. However, current indicators lack the requisite sensitivity for in vivo multipopulation imaging. We describe next-generation green and red voltage sensors, Ace-mNeon2 and VARNAM2, and their reverse response-polarity variants pAce and pAceR. Our indicators enable 0.4- to 1-kilohertz voltage recordings from >50 spiking neurons per field of view in awake mice and ~30-minute continuous imaging in flies. Using dual-polarity multiplexed imaging, we uncovered brain state-dependent antagonism between neocortical somatostatin-expressing (SST+) and vasoactive intestinal peptide-expressing (VIP+) interneurons and contributions to hippocampal field potentials from cell ensembles with distinct axonal projections. By combining three mutually compatible indicators, we performed simultaneous triple-population imaging. These approaches will empower investigations of the dynamic interplay between neuronal subclasses at single-spike resolution.
View details for DOI 10.1126/science.abm8797
View details for PubMedID 36378956
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Noise correlations in neural ensemble activity limit the accuracy of hippocampal spatial representations.
Nature communications
2022; 13 (1): 4276
Abstract
Neurons in the CA1 area of the mouse hippocampus encode the position of the animal in an environment. However, given the variability in individual neurons responses, the accuracy of this code is still poorly understood. It was proposed that downstream areas could achieve high spatial accuracy by integrating the activity of thousands of neurons, but theoretical studies point to shared fluctuations in the firing rate as a potential limitation. Using high-throughput calcium imaging in freely moving mice, we demonstrated the limiting factors in the accuracy of the CA1 spatial code. We found that noise correlations in the hippocampus bound the estimation error of spatial coding to ~10cm (the size of a mouse). Maximal accuracy was obtained using approximately [300-1400] neurons, depending on the animal. These findings reveal intrinsic limits in the brain's representations of space and suggest that single neurons downstream of thehippocampus can extract maximal spatial information from several hundred inputs.
View details for DOI 10.1038/s41467-022-31254-y
View details for PubMedID 35879320
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Emergent reliability in sensory cortical coding and inter-area communication.
Nature
2022
Abstract
Reliable sensory discrimination must arise from high-fidelity neural representations and communication between brain areas. However, how neocortical sensory processing overcomes the substantialvariability of neuronal sensory responses remains undetermined1-6. Here we imaged neuronalactivity in eight neocortical areas concurrently and over five days in mice performing a visual discrimination task, yielding longitudinal recordings of more than 21,000 neurons. Analyses revealed a sequence of events across the neocortex starting from a resting state, to early stages of perception, and through the formation of a task response. At rest, the neocortex had one pattern of functional connections, identified through sets of areas that shared activity cofluctuations7,8. Within about 200ms after the onset of the sensory stimulus, such connections rearranged, with different areas sharing cofluctuations and task-related information. During this short-lived state(approximately 300 ms duration), bothinter-area sensory data transmission and the redundancy of sensory encoding peaked, reflecting a transient increase in correlated fluctuations among task-related neurons. By around 0.5s after stimulus onset, thevisual representation reached a more stable form, the structure of which was robust to the prominent, day-to-day variations in the responses of individual cells. About 1s into stimulus presentation, a global fluctuation mode conveyed the upcoming response of the mouse to every area examined and was orthogonal to modes carrying sensory data. Overall, the neocortex supports sensory performance through brief elevations in sensory coding redundancynear the start of perception, neural populationcodes that are robust to cellular variability, and widespreadinter-area fluctuation modes that transmit sensory data and task responses in non-interfering channels.
View details for DOI 10.1038/s41586-022-04724-y
View details for PubMedID 35589841
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Fluorescence imaging of large-scale neural ensemble dynamics.
Cell
2022; 185 (1): 9-41
Abstract
Recent progress in fluorescence imaging allows neuroscientists to observe the dynamics of thousands of individual neurons, identified genetically or by their connectivity, across multiple brain areas and for extended durations in awake behaving mammals. We discuss advances in fluorescent indicators of neural activity, viral and genetic methods to express these indicators, chronic animal preparations for long-term imaging studies, and microscopes to monitor and manipulate the activity of large neural ensembles. Ca2+ imaging studies of neural activity can track brain area interactions and distributed information processing at cellular resolution. Across smaller spatial scales, high-speed voltage imaging reveals the distinctive spiking patterns and coding properties of targeted neuron types. Collectively, these innovations will propel studies of brain function and dovetail with ongoing neuroscience initiatives to identify new neuron types and develop widely applicable, non-human primate models. The optical toolkit's growing sophistication also suggests that "brain observatory" facilities would be useful open resources for future brain-imaging studies.
View details for DOI 10.1016/j.cell.2021.12.007
View details for PubMedID 34995519
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A neural circuit state change underlying skilled movements.
Cell
2021
Abstract
In motor neuroscience, state changes are hypothesized to time-lock neural assemblies coordinating complex movements, but evidence for this remains slender. We tested whether a discrete change from more autonomous to coherent spiking underlies skilled movement by imaging cerebellar Purkinje neuron complex spikes in mice making targeted forelimb-reaches. As mice learned the task, millimeter-scale spatiotemporally coherent spiking emerged ipsilateral to the reaching forelimb, and consistent neural synchronization became predictive of kinematic stereotypy. Before reach onset, spiking switched from more disordered to internally time-locked concerted spiking and silence. Optogenetic manipulations of cerebellar feedback to the inferior olive bi-directionally modulated neural synchronization and reaching direction. A simple model explained the reorganization of spiking during reaching as reflecting a discrete bifurcation in olivary network dynamics. These findings argue that to prepare learned movements, olivo-cerebellar circuits enter a self-regulated, synchronized state promoting motor coordination. State changes facilitating behavioral transitions may generalize across neural systems.
View details for DOI 10.1016/j.cell.2021.06.001
View details for PubMedID 34214470
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The relationship between birth timing, circuit wiring, and physiological response properties of cerebellar granule cells
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2021; 118 (23)
View details for DOI 10.1073/pnas.2101826118|1of11
View details for Web of Science ID 000684996500009
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The relationship between birth timing, circuit wiring, and physiological response properties of cerebellar granule cells.
Proceedings of the National Academy of Sciences of the United States of America
2021; 118 (23)
Abstract
Cerebellar granule cells (GrCs) are usually regarded as a uniform cell type that collectively expands the coding space of the cerebellum by integrating diverse combinations of mossy fiber inputs. Accordingly, stable molecularly or physiologically defined GrC subtypes within a single cerebellar region have not been reported. The only known cellular property that distinguishes otherwise homogeneous GrCs is the correspondence between GrC birth timing and the depth of the molecular layer to which their axons project. To determine the role birth timing plays in GrC wiring and function, we developed genetic strategies to access early- and late-born GrCs. We initiated retrograde monosynaptic rabies virus tracing from control (birth timing unrestricted), early-born, and late-born GrCs, revealing the different patterns of mossy fiber input to GrCs in vermis lobule 6 and simplex, as well as to early- and late-born GrCs of vermis lobule 6: sensory and motor nuclei provide more input to early-born GrCs, while basal pontine and cerebellar nuclei provide more input to late-born GrCs. In vivo multidepth two-photon Ca2+ imaging of axons of early- and late-born GrCs revealed representations of diverse task variables and stimuli by both populations, with modest differences in the proportions encoding movement, reward anticipation, and reward consumption. Our results suggest neither organized parallel processing nor completely random organization of mossy fiberGrC circuitry but instead a moderate influence of birth timing on GrC wiring and encoding. Our imaging data also provide evidence that GrCs can represent generalized responses to aversive stimuli, in addition to recently described reward representations.
View details for DOI 10.1073/pnas.2101826118
View details for PubMedID 34088841
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Supramammillary regulation of locomotion and hippocampal activity.
Science (New York, N.Y.)
2021; 374 (6574): 1492-1496
Abstract
[Figure: see text].
View details for DOI 10.1126/science.abh4272
View details for PubMedID 34914519
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Olfactory landmarks and path integration converge to form a cognitive spatial map.
Neuron
2021
Abstract
The convergence of internal path integration and external sensory landmarks generates a cognitive spatial map in the hippocampus. We studied how localized odor cues are recognized as landmarks by recording the activity of neurons in CA1 during a virtual navigation task. We found that odor cues enriched place cell representations, dramatically improving navigation. Presentation of the same odor at different locations generated distinct place cell representations. An odor cue at a proximal location enhanced the local place cell density and also led to the formation of place cells beyond the cue. This resulted in the recognition of a second, more distal odor cue as a distinct landmark, suggesting an iterative mechanism for extending spatial representations into unknown territory. Our results establish that odors can serve as landmarks, motivating a model in which path integration and odor landmarks interact sequentially and iteratively to generate cognitive spatial maps over long distances.
View details for DOI 10.1016/j.neuron.2021.09.055
View details for PubMedID 34710366
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Cross-hemispheric gamma synchrony between prefrontal parvalbumin interneurons supports behavioral adaptation during rule shift learning.
Nature neuroscience
2020
Abstract
Organisms must learn new strategies to adapt to changing environments. Activity in different neurons often exhibits synchronization that can dynamically enhance their communication and might create flexible brain states that facilitate changes in behavior. We studied the role of gamma-frequency (~40Hz) synchrony between prefrontal parvalbumin (PV) interneurons in mice learning multiple new cue-reward associations. Voltage indicators revealed cell-type-specific increases of cross-hemispheric gamma synchrony between PV interneurons when mice received feedback that previously learned associations were no longer valid. Disrupting this synchronization by delivering out-of-phase optogenetic stimulation caused mice to perseverate on outdated associations, an effect not reproduced by in-phase stimulation or out-of-phase stimulation at other frequencies. Gamma synchrony was specifically required when new associations used familiar cues that were previously irrelevant to behavioral outcomes, not when associations involved new cues or for reversing previously learned associations. Thus, gamma synchrony is indispensable for reappraising the behavioral salience of external cues.
View details for DOI 10.1038/s41593-020-0647-1
View details for PubMedID 32451483
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Fundamental bounds on the fidelity of sensory cortical coding.
Nature
2020; 580 (7801): 100-105
Abstract
How the brain processes information accurately despite stochastic neural activity is a longstanding question1. For instance, perception is fundamentally limited by the information that the brain can extract from the noisy dynamics of sensory neurons. Seminal experiments2,3 suggest that correlated noise in sensory cortical neural ensembles is what limits their coding accuracy4-6, although how correlated noise affects neural codes remains debated7-11. Recent theoretical work proposes that how a neural ensemble's sensory tuning properties relate statistically to its correlated noise patterns is a greater determinant of coding accuracy than is absolute noise strength12-14. However, without simultaneous recordings from thousands of cortical neurons with shared sensory inputs, it is unknown whether correlated noise limits coding fidelity. Here we present a 16-beam, two-photon microscope to monitor activity across the mouse primary visual cortex, along with analyses to quantify the information conveyed by large neural ensembles. We found that, in the visual cortex, correlated noise constrained signalling for ensembles with 800-1,300 neurons. Several noise components of the ensemble dynamics grew proportionally to the ensemble size and the encoded visual signals, revealing the predicted information-limiting correlations12-14. Notably, visual signals were perpendicular to the largest noise mode, which therefore did not limit coding fidelity. The information-limiting noise modes were approximately ten times smaller and concordant with mouse visual acuity15. Therefore, cortical design principles appear to enhance coding accuracy by restricting around 90% of noise fluctuations to modes that do not limit signalling fidelity, whereas much weaker correlated noise modes inherently bound sensory discrimination.
View details for DOI 10.1038/s41586-020-2130-2
View details for PubMedID 32238928
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RecV recombinase system for in vivo targeted optogenomic modifications of single cells or cell populations.
Nature methods
2020
Abstract
Brain circuits comprise vast numbers of interconnected neurons with diverse molecular, anatomical and physiological properties. To allow targeting of individual neurons for structural and functional studies, we created light-inducible site-specific DNA recombinases based on Cre, Dre and Flp (RecVs). RecVs can induce genomic modifications by one-photon or two-photon light induction in vivo. They can produce targeted, sparse and strong labeling of individual neurons by modifying multiple loci within mouse and zebrafish genomes. In combination with other genetic strategies, they allow intersectional targeting of different neuronal classes. In the mouse cortex they enable sparse labeling and whole-brain morphological reconstructions of individual neurons. Furthermore, these enzymes allow single-cell two-photon targeted genetic modifications and can be used in combination with functional optical indicators with minimal interference. In summary, RecVs enable spatiotemporally precise optogenomic modifications that can facilitate detailed single-cell analysis of neural circuits by linking genetic identity, morphology, connectivity and function.
View details for DOI 10.1038/s41592-020-0774-3
View details for PubMedID 32203389
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Fundamental bounds on the fidelity of sensory cortical coding
NATURE
2020
View details for DOI 10.1038/s41586-020-2130-2
View details for Web of Science ID 000520398000002
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Microendoscopy detects altered muscular contractile dynamics in a mouse model of amyotrophic lateral sclerosis.
Scientific reports
2020; 10 (1): 457
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal disease involving motor neuron degeneration. Effective diagnosis of ALS and quantitative monitoring of its progression are crucial to the success of clinical trials. Second harmonic generation (SHG) microendoscopy is an emerging technology for imaging single motor unit contractions. To assess the potential value of microendoscopy for diagnosing and tracking ALS, we monitored motor unit dynamics in a B6.SOD1G93A mouse model of ALS for several weeks. Prior to overt symptoms, muscle twitch rise and relaxation time constants both increased, consistent with a loss of fast-fatigable motor units. These effects became more pronounced with disease progression, consistent with the death of fast fatigue-resistant motor units and superior survival of slow motor units. From these measurements we constructed a physiological metric that reflects the changing distributions of measured motor unit time constants and effectively diagnoses mice before symptomatic onset and tracks disease state. These results indicate that SHG microendoscopy provides a means for developing a quantitative, physiologic characterization of ALS progression.
View details for DOI 10.1038/s41598-019-56555-z
View details for PubMedID 31949214
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Skilled reaching tasks for head-fixed mice using a robotic manipulandum.
Nature protocols
2020
Abstract
Skilled forelimb behaviors are among the most important for studying motor learning in multiple species including humans. This protocol describes learned forelimb tasks for mice using a two-axis robotic manipulandum. Our device provides a highly compact adaptation of actuated planar two-axis arms that is simple and inexpensive to construct. This paradigm has been dominant for decades in primate motor neuroscience. Our device can generate arbitrary virtual movement tracks, arbitrary time-varying forces or arbitrary position- or velocity-dependent force patterns. We describe several example tasks permitted by our device, including linear movements, movement sequences and aiming movements. We provide the mechanical drawings and source code needed to assemble and control the device, and detail the procedure to train mice to use the device. Our software can be simply extended to allow users to program various customized movement assays. The device can be assembled in a few days, and the time to train mice on the tasks that we describe ranges from a few days to several weeks. Furthermore, the device is compatible with various neurophysiological techniques that require head fixation.
View details for DOI 10.1038/s41596-019-0286-8
View details for PubMedID 32034393
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Ultrafast Two-Photon Imaging of a High-Gain Voltage Indicator in Awake Behaving Mice.
Cell
2019; 179 (7): 1590
Abstract
Optical interrogation of voltage in deep brain locations with cellular resolution would be immensely useful for understanding how neuronal circuits process information. Here, we report ASAP3, a genetically encoded voltage indicator with 51% fluorescence modulation by physiological voltages, submillisecond activation kinetics, and full responsivity under two-photon excitation. We also introduce an ultrafast local volume excitation (ULoVE) method for kilohertz-rate two-photon sampling invivo with increased stability and sensitivity. Combining a soma-targeted ASAP3 variant and ULoVE, we show single-trial tracking ofspikes and subthreshold events for minutes in deep locations, with subcellular resolution and with repeated sampling over days. In the visual cortex, we use soma-targeted ASAP3 to illustrate cell-type-dependent subthreshold modulation by locomotion. Thus, ASAP3 and ULoVE enable high-speed optical recording of electrical activity in genetically defined neurons at deep locations during awake behavior.
View details for DOI 10.1016/j.cell.2019.11.004
View details for PubMedID 31835034
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Amygdala ensembles encode behavioral states
SCIENCE
2019; 364 (6437): 254-+
View details for DOI 10.1126/science.aav8736
View details for Web of Science ID 000464956600041
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Amygdala ensembles encode behavioral states.
Science (New York, N.Y.)
2019; 364 (6437)
Abstract
Internal states, including affective or homeostatic states, are important behavioral motivators. The amygdala regulates motivated behaviors, yet how distinct states are represented in amygdala circuits is unknown. By longitudinally imaging neural calcium dynamics in freely moving mice across different environments, we identified opponent changes in activity levels of two major, nonoverlapping populations of basal amygdala principal neurons. This population signature does not report global anxiety but predicts switches between exploratory and nonexploratory, defensive states. Moreover, the amygdala separately processes external stimuli and internal states and broadcasts state information via several output pathways to larger brain networks. Our findings extend the concept of thalamocortical "brain-state" coding to include affective and exploratory states and provide an entry point into the state dependency of brain function and behavior in defined circuits.
View details for PubMedID 31000636
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Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task
CELL
2019; 177 (3): 669-+
View details for DOI 10.1016/j.cell.2019.02.019
View details for Web of Science ID 000464947700020
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Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task.
Cell
2019
Abstract
Throughout mammalian neocortex, layer 5 pyramidal (L5) cells project via the pons to a vast number of cerebellar granule cells (GrCs), forming a fundamental pathway. Yet, it is unknown how neuronal dynamics are transformed through the L5GrC pathway. Here, by directly comparing premotor L5 and GrC activity during a forelimb movement task using dual-site two-photon Ca2+ imaging, we found that in expert mice, L5 and GrC dynamics were highly similar. L5 cells and GrCs shared a common set of task-encoding activity patterns, possessed similar diversity of responses, and exhibited high correlations comparable to local correlations among L5 cells. Chronic imaging revealed that these dynamics co-emerged in cortex and cerebellum over learning: as behavioral performance improved, initially dissimilar L5 cells and GrCs converged onto a shared, low-dimensional, task-encoding set of neural activity patterns. Thus, a key function of cortico-cerebellar communication is the propagation of shared dynamics that emerge during learning.
View details for PubMedID 30929904
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An amygdalar neural ensemble that encodes the unpleasantness of pain.
Science (New York, N.Y.)
2019; 363 (6424): 276–81
Abstract
Pain is an unpleasant experience. How the brain's affective neural circuits attribute this aversive quality to nociceptive information remains unknown. By means of time-lapse in vivo calcium imaging and neural activity manipulation in freely behaving mice encountering noxious stimuli, we identified a distinct neural ensemble in the basolateral amygdala that encodes the negative affective valence of pain. Silencing this nociceptive ensemble alleviated pain affective-motivational behaviors without altering the detection of noxious stimuli, withdrawal reflexes, anxiety, or reward. Following peripheral nerve injury, innocuous stimuli activated this nociceptive ensemble to drive dysfunctional perceptual changes associated with neuropathic pain, including pain aversion to light touch (allodynia). These results identify the amygdalar representations of noxious stimuli that are functionally required for the negative affective qualities of acute and chronic pain perception.
View details for PubMedID 30655440
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An amygdalar neural ensemble that encodes the unpleasantness of pain
SCIENCE
2019; 363 (6424): 276-+
View details for DOI 10.1126/science.aap8586
View details for Web of Science ID 000456140700035
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Kilohertz two-photon brain imaging in awake mice.
Nature methods
2019
Abstract
Two-photon microscopy is a mainstay technique for imaging in scattering media and normally provides frame-acquisition rates of ~10-30 Hz. To track high-speed phenomena, we created a two-photon microscope with 400 illumination beams that collectively sample 95,000-211,000 µm2 areas at rates up to 1 kHz. Using this microscope, we visualized microcirculatory flow, fast venous constrictions and neuronal Ca2+ spiking with millisecond-scale timing resolution in the brains of awake mice.
View details for DOI 10.1038/s41592-019-0597-2
View details for PubMedID 31659327
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An Amygdalar Neural Ensemble Encoding the Unpleasantness of Pain
NATURE PUBLISHING GROUP. 2018: S527
View details for Web of Science ID 000509546600958
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Fast, in vivo voltage imaging using a red fluorescent indicator
NATURE METHODS
2018; 15 (12): 1108-+
View details for DOI 10.1038/s41592-018-0188-7
View details for Web of Science ID 000451826200038
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Fast, in vivo voltage imaging using a red fluorescent indicator.
Nature methods
2018
Abstract
Genetically encoded voltage indicators (GEVIs) are emerging optical tools for acquiring brain-wide cell-type-specific functional data at unparalleled temporal resolution. To broaden the application of GEVIs in high-speed multispectral imaging, we used a high-throughput strategy to develop voltage-activated red neuronal activity monitor (VARNAM), a fusion of the fast Acetabularia opsin and the bright red fluorophore mRuby3. Imageable under the modest illumination intensities required by bright green probes (<50mWmm-2), VARNAM is readily usable in vivo. VARNAM can be combined with blue-shifted optical tools to enable cell-type-specific all-optical electrophysiology and dual-color spike imaging in acute brain slices and live Drosophila. With enhanced sensitivity to subthreshold voltages, VARNAM resolves postsynaptic potentials in slices and cortical and hippocampal rhythms in freely behaving mice. Together, VARNAM lends a new hue to the optical toolbox, opening the door to high-speed in vivo multispectral functional imaging.
View details for PubMedID 30420685
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Long-Term Consolidation of Ensemble Neural Plasticity Patterns in Hippocampal Area CA1.
Cell reports
2018; 25 (3): 640
Abstract
Neural network remodeling underpins the ability to remember life experiences, but little is known about the long-term plasticity of neural populations. To study how the brain encodes episodic events, we used time-lapse two-photon microscopy and a fluorescent reporter of neural plasticity based on an enhanced form of the synaptic activity-responsive element (E-SARE) within the Arc promoter to track thousands of CA1 hippocampal pyramidal cells over weeks in mice that repeatedly encountered different environments. Each environment evokes characteristic patterns of ensemble neural plasticity, but with each encounter, the set of activated cells gradually evolves. After repeated exposures, the plasticity patterns evoked by an individual environment progressively stabilize. Compared with young adults, plasticity patterns in aged mice are less specific to individual environments and less stable across repeat experiences. Long-term consolidation of hippocampal plasticity patterns may support long-term memory formation, whereas weaker consolidation in aged subjects might reflect declining memory function.
View details for PubMedID 30332644
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Long-Term Consolidation of Ensemble Neural Plasticity Patterns in Hippocampal Area CA1
CELL REPORTS
2018; 25 (3): 640-+
View details for DOI 10.1016/j.celrep.2018.09.064
View details for Web of Science ID 000448217500010
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Three-photon imaging of mouse brain structure and function through the intact skull
NATURE METHODS
2018; 15 (10): 789-+
Abstract
Optical imaging through the intact mouse skull is challenging because of skull-induced aberrations and scattering. We found that three-photon excitation provided improved optical sectioning compared with that obtained with two-photon excitation, even when we used the same excitation wavelength and imaging system. Here we demonstrate three-photon imaging of vasculature through the adult mouse skull at >500-μm depth, as well as GCaMP6s calcium imaging over weeks in cortical layers 2/3 and 4 in awake mice, with 8.5 frames per second and a field of view spanning hundreds of micrometers.
View details for PubMedID 30202059
View details for PubMedCentralID PMC6188644
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Calcium Transient Dynamics of Neural Ensembles in the Primary Motor Cortex of Naturally Behaving Monkeys
CELL REPORTS
2018; 24 (8): 2191-+
Abstract
To understand brain circuits of cognitive behaviors under natural conditions, we developed techniques for imaging neuronal activities from large neuronal populations in the deep layer cortex of the naturally behaving common marmoset. Animals retrieved food pellets or climbed ladders as a miniature fluorescence microscope monitored hundreds of calcium indicator-expressing cortical neurons in the right primary motor cortex. This technique, which can be adapted to other brain regions, can deepen our understanding of brain circuits by facilitating longitudinal population analyses of neuronal representation associated with cognitive naturalistic behaviors and their pathophysiological processes.
View details for PubMedID 30134178
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Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis
NEURON
2018; 98 (6): 1099-+
View details for DOI 10.1016/j.neuron.2018.05.015
View details for Web of Science ID 000436587600010
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Long-term optical brain imaging in live adult fruit flies
NATURE COMMUNICATIONS
2018; 9: 872
Abstract
Time-lapse in vivo microscopy studies of cellular morphology and physiology are crucial toward understanding brain function but have been infeasible in the fruit fly, a key model species. Here we use laser microsurgery to create a chronic fly preparation for repeated imaging of neural architecture and dynamics for up to 50 days. In fly mushroom body neurons, we track axonal boutons for 10 days and record odor-evoked calcium transients over 7 weeks. Further, by using voltage imaging to resolve individual action potentials, we monitor spiking plasticity in dopamine neurons of flies undergoing mechanical stress. After 24 h of stress, PPL1-α'3 but not PPL1-α'2α2 dopamine neurons have elevated spike rates. Overall, our chronic preparation is compatible with a broad range of optical techniques and enables longitudinal studies of many biological questions that could not be addressed before in live flies.
View details for PubMedID 29491443
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Unsupervised Discovery of Demixed, Low-Dimensional Neural Dynamics across Multiple Timescales through Tensor Component Analysis.
Neuron
2018
Abstract
Perceptions, thoughts, and actions unfold over millisecond timescales, while learned behaviors can require many days to mature. While recent experimental advances enable large-scale and long-term neural recordings with high temporal fidelity, it remains a formidable challenge to extract unbiased and interpretable descriptions of how rapid single-trial circuit dynamics change slowly over many trials to mediate learning. We demonstrate a simple tensor component analysis (TCA) can meet this challenge by extracting three interconnected, low-dimensional descriptions of neural data: neuron factors, reflecting cell assemblies; temporal factors, reflecting rapid circuit dynamics mediating perceptions, thoughts, and actions within each trial; and trial factors, describing both long-term learning and trial-to-trial changes in cognitive state. We demonstrate the broad applicability of TCA by revealing insights into diverse datasets derived from artificial neural networks, large-scale calcium imaging of rodent prefrontal cortex during maze navigation, and multielectrode recordings of macaque motor cortex during brain machine interface learning.
View details for PubMedID 29887338
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Diametric neural ensemble dynamics in parkinsonian and dyskinetic states.
Nature
2018
Abstract
Loss of dopamine in Parkinson's disease is hypothesized to impede movement by inducing hypo- and hyperactivity in striatal spiny projection neurons (SPNs) of the direct (dSPNs) and indirect (iSPNs) pathways in the basal ganglia, respectively. The opposite imbalance might underlie hyperkinetic abnormalities, such as dyskinesia caused by treatment of Parkinson's disease with the dopamine precursor L-DOPA. Here we monitored thousands of SPNs in behaving mice, before and after dopamine depletion and during L-DOPA-induced dyskinesia. Normally, intermingled clusters of dSPNs and iSPNs coactivated before movement. Dopamine depletion unbalanced SPN activity rates and disrupted the movement-encoding iSPN clusters. Matching their clinical efficacy, L-DOPA or agonism of the D2 dopamine receptor reversed these abnormalities more effectively than agonism of the D1 dopamine receptor. The opposite pathophysiology arose in L-DOPA-induced dyskinesia, during which iSPNs showed hypoactivity and dSPNs showed unclustered hyperactivity. Therefore, both the spatiotemporal profiles and rates of SPN activity appear crucial to striatal function, and next-generation treatments for basal ganglia disorders should target both facets of striatal activity.
View details for PubMedID 29720658
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Neuronal Representation of Social Information in the Medial Amygdala of Awake Behaving Mice
CELL
2017; 171 (5): 1176-+
Abstract
The medial amygdala (MeA) plays a critical role in processing species- and sex-specific signals that trigger social and defensive behaviors. However, the principles by which this deep brain structure encodes social information is poorly understood. We used a miniature microscope to image the Ca2+ dynamics of large neural ensembles in awake behaving mice and tracked the responses of MeA neurons over several months. These recordings revealed spatially intermingled subsets of MeA neurons with distinct temporal dynamics. The encoding of social information in the MeA differed between males and females and relied on information from both individual cells and neuronal populations. By performing long-term Ca2+ imaging across different social contexts, we found that sexual experience triggers lasting and sex-specific changes in MeA activity, which, in males, involve signaling by oxytocin. These findings reveal basic principles underlying the brain's representation of social information and its modulation by intrinsic and extrinsic factors.
View details for PubMedID 29107332
View details for PubMedCentralID PMC5731476
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Social behaviour shapes hypothalamic neural ensemble representations of conspecific sex
NATURE
2017; 550 (7676): 388-+
Abstract
All animals possess a repertoire of innate (or instinctive) behaviours, which can be performed without training. Whether such behaviours are mediated by anatomically distinct and/or genetically specified neural pathways remains unknown. Here we report that neural representations within the mouse hypothalamus, that underlie innate social behaviours, are shaped by social experience. Oestrogen receptor 1-expressing (Esr1+) neurons in the ventrolateral subdivision of the ventromedial hypothalamus (VMHvl) control mating and fighting in rodents. We used microendoscopy to image Esr1+ neuronal activity in the VMHvl of male mice engaged in these social behaviours. In sexually and socially experienced adult males, divergent and characteristic neural ensembles represented male versus female conspecifics. However, in inexperienced adult males, male and female intruders activated overlapping neuronal populations. Sex-specific neuronal ensembles gradually separated as the mice acquired social and sexual experience. In mice permitted to investigate but not to mount or attack conspecifics, ensemble divergence did not occur. However, 30 minutes of sexual experience with a female was sufficient to promote the separation of male and female ensembles and to induce an attack response 24 h later. These observations uncover an unexpected social experience-dependent component to the formation of hypothalamic neural assemblies controlling innate social behaviours. More generally, they reveal plasticity and dynamic coding in an evolutionarily ancient deep subcortical structure that is traditionally viewed as a 'hard-wired' system.
View details for PubMedID 29052632
View details for PubMedCentralID PMC5674977
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Cerebellar granule cells encode the expectation of reward
NATURE
2017; 544 (7648): 96-?
Abstract
The human brain contains approximately 60 billion cerebellar granule cells, which outnumber all other brain neurons combined. Classical theories posit that a large, diverse population of granule cells allows for highly detailed representations of sensorimotor context, enabling downstream Purkinje cells to sense fine contextual changes. Although evidence suggests a role for the cerebellum in cognition, granule cells are known to encode only sensory and motor context. Here, using two-photon calcium imaging in behaving mice, we show that granule cells convey information about the expectation of reward. Mice initiated voluntary forelimb movements for delayed sugar-water reward. Some granule cells responded preferentially to reward or reward omission, whereas others selectively encoded reward anticipation. Reward responses were not restricted to forelimb movement, as a Pavlovian task evoked similar responses. Compared to predictable rewards, unexpected rewards elicited markedly different granule cell activity despite identical stimuli and licking responses. In both tasks, reward signals were widespread throughout multiple cerebellar lobules. Tracking the same granule cells over several days of learning revealed that cells with reward-anticipating responses emerged from those that responded at the start of learning to reward delivery, whereas reward-omission responses grew stronger as learning progressed. The discovery of predictive, non-sensorimotor encoding in granule cells is a major departure from the current understanding of these neurons and markedly enriches the contextual information available to postsynaptic Purkinje cells, with important implications for cognitive processing in the cerebellum.
View details for DOI 10.1038/nature21726
View details for Web of Science ID 000398323300040
View details for PubMedID 28321129
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Neural ensemble dynamics underlying a long-term associative memory
NATURE
2017; 543 (7647): 670-?
Abstract
The brain's ability to associate different stimuli is vital for long-term memory, but how neural ensembles encode associative memories is unknown. Here we studied how cell ensembles in the basal and lateral amygdala encode associations between conditioned and unconditioned stimuli (CS and US, respectively). Using a miniature fluorescence microscope, we tracked the Ca(2+) dynamics of ensembles of amygdalar neurons during fear learning and extinction over 6 days in behaving mice. Fear conditioning induced both up- and down-regulation of individual cells' CS-evoked responses. This bi-directional plasticity mainly occurred after conditioning, and reshaped the neural ensemble representation of the CS to become more similar to the US representation. During extinction training with repetitive CS presentations, the CS representation became more distinctive without reverting to its original form. Throughout the experiments, the strength of the ensemble-encoded CS-US association predicted the level of behavioural conditioning in each mouse. These findings support a supervised learning model in which activation of the US representation guides the transformation of the CS representation.
View details for DOI 10.1038/nature21682
View details for Web of Science ID 000397619700046
View details for PubMedID 28329757
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Robust Estimation of Neural Signals in Calcium Imaging
NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2017
View details for Web of Science ID 000452649402093
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Long-Term Optical Access to an Estimated One Million Neurons in the Live Mouse Cortex
CELL REPORTS
2016; 17 (12): 3385-3394
Abstract
A major technological goal in neuroscience is to enable the interrogation of individual cells across the live brain. By creating a curved glass replacement to the dorsal cranium and surgical methods for its installation, we developed a chronic mouse preparation providing optical access to an estimated 800,000-1,100,000 individual neurons across the dorsal surface of neocortex. Post-surgical histological studies revealed comparable glial activation as in control mice. In behaving mice expressing a Ca(2+) indicator in cortical pyramidal neurons, we performed Ca(2+) imaging across neocortex using an epi-fluorescence macroscope and estimated that 25,000-50,000 individual neurons were accessible per mouse across multiple focal planes. Two-photon microscopy revealed dendritic morphologies throughout neocortex, allowed time-lapse imaging of individual cells, and yielded estimates of >1 million accessible neurons per mouse by serial tiling. This approach supports a variety of optical techniques and enables studies of cells across >30 neocortical areas in behaving mice.
View details for DOI 10.1016/j.celrep.2016.12.004
View details for Web of Science ID 000390895600026
View details for PubMedID 28009304
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Cell-Type-Specific Optical Recording of Membrane Voltage Dynamics in Freely Moving Mice
CELL
2016; 167 (6): 1650-?
Abstract
Electrophysiological field potential dynamics are of fundamental interest in basic and clinical neuroscience, but how specific cell types shape these dynamics in the live brain is poorly understood. To empower mechanistic studies, we created an optical technique, TEMPO, that records the aggregate trans-membrane voltage dynamics of genetically specified neurons in freely behaving mice. TEMPO has >10-fold greater sensitivity than prior fiber-optic techniques and attains the noise minimum set by quantum mechanical photon shot noise. After validating TEMPO's capacity to track established oscillations in the delta, theta, and gamma frequency bands, we compared the D1- and D2-dopamine-receptor-expressing striatal medium spiny neurons (MSNs), which are interspersed and electrically indistinguishable. Unexpectedly, MSN population dynamics exhibited two distinct coherent states that were commonly indiscernible in electrical recordings and involved synchronized hyperpolarizations across both MSN subtypes. Overall, TEMPO allows the deconstruction of normal and pathologic neurophysiological states into trans-membrane voltage activity patterns of specific cell types.
View details for DOI 10.1016/j.cell.2016.11.021
View details for Web of Science ID 000389470500024
View details for PubMedID 27912066
View details for PubMedCentralID PMC5382987
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Distinct Hippocampal Pathways Mediate Dissociable Roles of Context in Memory Retrieval.
Cell
2016; 167 (4): 961-972 e16
Abstract
Memories about sensory experiences are tightly linked to the context in which they were formed. Memory contextualization is fundamental for the selection of appropriate behavioral reactions needed for survival, yet the underlying neuronal circuits are poorly understood. By combining trans-synaptic viral tracing and optogenetic manipulation, we found that the ventral hippocampus (vHC) and the amygdala, two key brain structures encoding context and emotional experiences, interact via multiple parallel pathways. A projection from the vHC to the basal amygdala mediates fear behavior elicited by a conditioned context, whereas a parallel projection from a distinct subset of vHC neurons onto midbrain-projecting neurons in the central amygdala is necessary for context-dependent retrieval of cued fear memories. Our findings demonstrate that two fundamentally distinct roles of context in fear memory retrieval are processed by distinct vHC output pathways, thereby allowing for the formation of robust contextual fear memories while preserving context-dependent behavioral flexibility.
View details for DOI 10.1016/j.cell.2016.09.051
View details for PubMedID 27773481
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Changes in sarcomere lengths of the human vastus lateralis muscle with knee flexion measured using in vivo microendoscopy
JOURNAL OF BIOMECHANICS
2016; 49 (13): 2989-2994
Abstract
Sarcomeres are the basic contractile units of muscle, and their lengths influence muscle force-generating capacity. Despite their importance, in vivo sarcomere lengths remain unknown for many human muscles. Second harmonic generation (SHG) microendoscopy is a minimally invasive technique for imaging sarcomeres in vivo and measuring their lengths. In this study, we used SHG microendoscopy to visualize sarcomeres of the human vastus lateralis, a large knee extensor muscle important for mobility, to examine how sarcomere lengths change with knee flexion and thus affect the muscle׳s force-generating capacity. We acquired in vivo sarcomere images of several muscle fibers of the resting vastus lateralis in six healthy individuals. Mean sarcomere lengths increased (p=0.031) from 2.84±0.16μm at 50° of knee flexion to 3.17±0.13μm at 110° of knee flexion. The standard deviation of sarcomere lengths among different fibers within a muscle was 0.21±0.09μm. Our results suggest that the sarcomeres of the resting vastus lateralis at 50° of knee flexion are near optimal length. At a knee flexion angle of 110° the resting sarcomeres of vastus lateralis are longer than optimal length. These results show a smaller sarcomere length change and greater conservation of force-generating capacity with knee flexion than estimated in previous studies.
View details for DOI 10.1016/j.jbiomech.2016.07.013
View details for Web of Science ID 000385472300057
View details for PubMedID 27481293
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Genetically encoded indicators of neuronal activity.
Nature neuroscience
2016; 19 (9): 1142-1153
Abstract
Experimental efforts to understand how the brain represents, stores and processes information require high-fidelity recordings of multiple different forms of neural activity within functional circuits. Thus, creating improved technologies for large-scale recordings of neural activity in the live brain is a crucial goal in neuroscience. Over the past two decades, the combination of optical microscopy and genetically encoded fluorescent indicators has become a widespread means of recording neural activity in nonmammalian and mammalian nervous systems, transforming brain research in the process. In this review, we describe and assess different classes of fluorescent protein indicators of neural activity. We first discuss general considerations in optical imaging and then present salient characteristics of representative indicators. Our focus is on how indicator characteristics relate to their use in living animals and on likely areas of future progress.
View details for DOI 10.1038/nn.4359
View details for PubMedID 27571193
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Large-Scale Fluorescence Calcium-Imaging Methods for Studies of Long-Term Memory in Behaving Mammals
COLD SPRING HARBOR PERSPECTIVES IN BIOLOGY
2016; 8 (5)
Abstract
During long-term memory formation, cellular and molecular processes reshape how individual neurons respond to specific patterns of synaptic input. It remains poorly understood how such changes impact information processing across networks of mammalian neurons. To observe how networks encode, store, and retrieve information, neuroscientists must track the dynamics of large ensembles of individual cells in behaving animals, over timescales commensurate with long-term memory. Fluorescence Ca(2+)-imaging techniques can monitor hundreds of neurons in behaving mice, opening exciting avenues for studies of learning and memory at the network level. Genetically encoded Ca(2+) indicators allow neurons to be targeted by genetic type or connectivity. Chronic animal preparations permit repeated imaging of neural Ca(2+) dynamics over multiple weeks. Together, these capabilities should enable unprecedented analyses of how ensemble neural codes evolve throughout memory processing and provide new insights into how memories are organized in the brain.
View details for DOI 10.1101/cshperspect.a021824
View details for Web of Science ID 000377084600005
View details for PubMedID 27048190
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In Vivo Imaging of Human Sarcomere Twitch Dynamics in Individual Motor Units.
Neuron
2015; 88 (6): 1109-20
Abstract
Motor units comprise a pre-synaptic motor neuron and multiple post-synaptic muscle fibers. Many movement disorders disrupt motor unit contractile dynamics and the structure of sarcomeres, skeletal muscle's contractile units. Despite the motor unit's centrality to neuromuscular physiology, no extant technology can image sarcomere twitch dynamics in live humans. We created a wearable microscope equipped with a microendoscope for minimally invasive observation of sarcomere lengths and contractile dynamics in any major skeletal muscle. By electrically stimulating twitches via the microendoscope and visualizing the sarcomere displacements, we monitored single motor unit contractions in soleus and vastus lateralis muscles of healthy individuals. Control experiments verified that these evoked twitches involved neuromuscular transmission and faithfully reported muscle force generation. In post-stroke patients with spasticity of the biceps brachii, we found involuntary microscopic contractions and sarcomere length abnormalities. The wearable microscope facilitates exploration of many basic and disease-related neuromuscular phenomena never visualized before in live humans. VIDEO ABSTRACT.
View details for DOI 10.1016/j.neuron.2015.11.022
View details for PubMedID 26687220
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High-speed recording of neural spikes in awake mice and flies with a fluorescent voltage sensor
SCIENCE
2015; 350 (6266): 1361-1366
Abstract
Genetically encoded voltage indicators (GEVIs) are a promising technology for fluorescence readout of millisecond-scale neuronal dynamics. Previous GEVIs had insufficient signaling speed and dynamic range to resolve action potentials in live animals. We coupled fast voltage-sensing domains from a rhodopsin protein to bright fluorophores through resonance energy transfer. The resulting GEVIs are sufficiently bright and fast to report neuronal action potentials and membrane voltage dynamics in awake mice and flies, resolving fast spike trains with 0.2-millisecond timing precision at spike detection error rates orders of magnitude better than previous GEVIs. In vivo imaging revealed sensory-evoked responses, including somatic spiking, dendritic dynamics, and intracellular voltage propagation. These results empower in vivo optical studies of neuronal electrophysiology and coding and motivate further advancements in high-speed microscopy.
View details for DOI 10.1126/science.aab0810
View details for Web of Science ID 000366162400039
View details for PubMedID 26586188
View details for PubMedCentralID PMC4904846
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In Vivo Imaging of Human Sarcomere Twitch Dynamics in Individual Motor Units
NEURON
2015; 88 (6): 1109-1120
Abstract
Motor units comprise a pre-synaptic motor neuron and multiple post-synaptic muscle fibers. Many movement disorders disrupt motor unit contractile dynamics and the structure of sarcomeres, skeletal muscle's contractile units. Despite the motor unit's centrality to neuromuscular physiology, no extant technology can image sarcomere twitch dynamics in live humans. We created a wearable microscope equipped with a microendoscope for minimally invasive observation of sarcomere lengths and contractile dynamics in any major skeletal muscle. By electrically stimulating twitches via the microendoscope and visualizing the sarcomere displacements, we monitored single motor unit contractions in soleus and vastus lateralis muscles of healthy individuals. Control experiments verified that these evoked twitches involved neuromuscular transmission and faithfully reported muscle force generation. In post-stroke patients with spasticity of the biceps brachii, we found involuntary microscopic contractions and sarcomere length abnormalities. The wearable microscope facilitates exploration of many basic and disease-related neuromuscular phenomena never visualized before in live humans. VIDEO ABSTRACT.
View details for DOI 10.1016/j.neuron.2015.11.022
View details for Web of Science ID 000368443900008
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Entorhinal Cortical Ocean Cells Encode Specific Contexts and Drive Context-Specific Fear Memory.
Neuron
2015; 87 (6): 1317-1331
Abstract
Forming distinct representations and memories of multiple contexts and episodes is thought to be a crucial function of the hippocampal-entorhinal cortical network. The hippocampal dentate gyrus (DG) and CA3 are known to contribute to these functions, but the role of the entorhinal cortex (EC) is poorly understood. Here, we show that Ocean cells, excitatory stellate neurons in the medial EC layer II projecting into DG and CA3, rapidly form a distinct representation of a novel context and drive context-specific activation of downstream CA3 cells as well as context-specific fear memory. In contrast, Island cells, excitatory pyramidal neurons in the medial EC layer II projecting into CA1, are indifferent to context-specific encoding or memory. On the other hand, Ocean cells are dispensable for temporal association learning, for which Island cells are crucial. Together, the two excitatory medial EC layer II inputs to the hippocampus have complementary roles in episodic memory.
View details for DOI 10.1016/j.neuron.2015.08.036
View details for PubMedID 26402611
View details for PubMedCentralID PMC5094459
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Optogenetics: 10 years after ChR2 in neurons-views from the community
NATURE NEUROSCIENCE
2015; 18 (9): 1202–12
View details for PubMedID 26308981
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Impermanence of dendritic spines in live adult CA1 hippocampus.
Nature
2015; 523 (7562): 592-596
Abstract
The mammalian hippocampus is crucial for episodic memory formation and transiently retains information for about 3-4 weeks in adult mice and longer in humans. Although neuroscientists widely believe that neural synapses are elemental sites of information storage, there has been no direct evidence that hippocampal synapses persist for time intervals commensurate with the duration of hippocampal-dependent memory. Here we tested the prediction that the lifetimes of hippocampal synapses match the longevity of hippocampal memory. By using time-lapse two-photon microendoscopy in the CA1 hippocampal area of live mice, we monitored the turnover dynamics of the pyramidal neurons' basal dendritic spines, postsynaptic structures whose turnover dynamics are thought to reflect those of excitatory synaptic connections. Strikingly, CA1 spine turnover dynamics differed sharply from those seen previously in the neocortex. Mathematical modelling revealed that the data best matched kinetic models with a single population of spines with a mean lifetime of approximately 1-2 weeks. This implies ∼100% turnover in ∼2-3 times this interval, a near full erasure of the synaptic connectivity pattern. Although N-methyl-d-aspartate (NMDA) receptor blockade stabilizes spines in the neocortex, in CA1 it transiently increased the rate of spine loss and thus lowered spine density. These results reveal that adult neocortical and hippocampal pyramidal neurons have divergent patterns of spine regulation and quantitatively support the idea that the transience of hippocampal-dependent memory directly reflects the turnover dynamics of hippocampal synapses.
View details for DOI 10.1038/nature14467
View details for PubMedID 26098371
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Impermanence of dendritic spines in live adult CA1 hippocampus
NATURE
2015; 523 (7562): 592-?
Abstract
The mammalian hippocampus is crucial for episodic memory formation and transiently retains information for about 3-4 weeks in adult mice and longer in humans. Although neuroscientists widely believe that neural synapses are elemental sites of information storage, there has been no direct evidence that hippocampal synapses persist for time intervals commensurate with the duration of hippocampal-dependent memory. Here we tested the prediction that the lifetimes of hippocampal synapses match the longevity of hippocampal memory. By using time-lapse two-photon microendoscopy in the CA1 hippocampal area of live mice, we monitored the turnover dynamics of the pyramidal neurons' basal dendritic spines, postsynaptic structures whose turnover dynamics are thought to reflect those of excitatory synaptic connections. Strikingly, CA1 spine turnover dynamics differed sharply from those seen previously in the neocortex. Mathematical modelling revealed that the data best matched kinetic models with a single population of spines with a mean lifetime of approximately 1-2 weeks. This implies ∼100% turnover in ∼2-3 times this interval, a near full erasure of the synaptic connectivity pattern. Although N-methyl-d-aspartate (NMDA) receptor blockade stabilizes spines in the neocortex, in CA1 it transiently increased the rate of spine loss and thus lowered spine density. These results reveal that adult neocortical and hippocampal pyramidal neurons have divergent patterns of spine regulation and quantitatively support the idea that the transience of hippocampal-dependent memory directly reflects the turnover dynamics of hippocampal synapses.
View details for DOI 10.1038/nature14467
View details for Web of Science ID 000358655200045
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Distinct speed dependence of entorhinal island and ocean cells, including respective grid cells
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2015; 112 (30): 9466-9471
Abstract
Entorhinal-hippocampal circuits in the mammalian brain are crucial for an animal's spatial and episodic experience, but the neural basis for different spatial computations remain unknown. Medial entorhinal cortex layer II contains pyramidal island and stellate ocean cells. Here, we performed cell type-specific Ca(2+) imaging in freely exploring mice using cellular markers and a miniature head-mounted fluorescence microscope. We found that both oceans and islands contain grid cells in similar proportions, but island cell activity, including activity in a proportion of grid cells, is significantly more speed modulated than ocean cell activity. We speculate that this differential property reflects island cells' and ocean cells' contribution to different downstream functions: island cells may contribute more to spatial path integration, whereas ocean cells may facilitate contextual representation in downstream circuits.
View details for DOI 10.1073/pnas.1511668112
View details for Web of Science ID 000358656500084
View details for PubMedCentralID PMC4522738
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Distinct speed dependence of entorhinal island and ocean cells, including respective grid cells.
Proceedings of the National Academy of Sciences of the United States of America
2015; 112 (30): 9466-71
Abstract
Entorhinal-hippocampal circuits in the mammalian brain are crucial for an animal's spatial and episodic experience, but the neural basis for different spatial computations remain unknown. Medial entorhinal cortex layer II contains pyramidal island and stellate ocean cells. Here, we performed cell type-specific Ca(2+) imaging in freely exploring mice using cellular markers and a miniature head-mounted fluorescence microscope. We found that both oceans and islands contain grid cells in similar proportions, but island cell activity, including activity in a proportion of grid cells, is significantly more speed modulated than ocean cell activity. We speculate that this differential property reflects island cells' and ocean cells' contribution to different downstream functions: island cells may contribute more to spatial path integration, whereas ocean cells may facilitate contextual representation in downstream circuits.
View details for DOI 10.1073/pnas.1511668112
View details for PubMedID 26170279
View details for PubMedCentralID PMC4522738
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Dexterous robotic manipulation of alert adult Drosophila for high-content experimentation.
Nature methods
2015; 12 (7): 657-660
Abstract
We present a robot that enables high-content studies of alert adult Drosophila by combining operations including gentle picking; translations and rotations; characterizations of fly phenotypes and behaviors; microdissection; or release. To illustrate, we assessed fly morphology, tracked odor-evoked locomotion, sorted flies by sex, and dissected the cuticle to image neural activity. The robot's tireless capacity for precise manipulations enables a scalable platform for screening flies' complex attributes and behavioral patterns.
View details for DOI 10.1038/nmeth.3410
View details for PubMedID 26005812
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Dexterous robotic manipulation of alert adult Drosophila for high-content experimentation.
Nature methods
2015; 12 (7): 657-660
Abstract
We present a robot that enables high-content studies of alert adult Drosophila by combining operations including gentle picking; translations and rotations; characterizations of fly phenotypes and behaviors; microdissection; or release. To illustrate, we assessed fly morphology, tracked odor-evoked locomotion, sorted flies by sex, and dissected the cuticle to image neural activity. The robot's tireless capacity for precise manipulations enables a scalable platform for screening flies' complex attributes and behavioral patterns.
View details for DOI 10.1038/nmeth.3410
View details for PubMedID 26005812
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Editorial overview: Large-scale recording technology: Scaling up neuroscience.
Current opinion in neurobiology
2015; 32: iv-vi
View details for DOI 10.1016/j.conb.2015.03.002
View details for PubMedID 25959713
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The BRAIN Initiative: developing technology to catalyse neuroscience discovery
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
2015; 370 (1668): 8-19
Abstract
The evolution of the field of neuroscience has been propelled by the advent of novel technological capabilities, and the pace at which these capabilities are being developed has accelerated dramatically in the past decade. Capitalizing on this momentum, the United States launched the Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative to develop and apply new tools and technologies for revolutionizing our understanding of the brain. In this article, we review the scientific vision for this initiative set forth by the National Institutes of Health and discuss its implications for the future of neuroscience research. Particular emphasis is given to its potential impact on the mapping and study of neural circuits, and how this knowledge will transform our understanding of the complexity of the human brain and its diverse array of behaviours, perceptions, thoughts and emotions.
View details for DOI 10.1098/rstb.2014.0164
View details for Web of Science ID 000354071400002
View details for PubMedID 25823863
View details for PubMedCentralID PMC4387507
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Cellular Level Brain Imaging in Behaving Mammals: An Engineering Approach
NEURON
2015; 86 (1): 140-159
Abstract
Fluorescence imaging offers expanding capabilities for recording neural dynamics in behaving mammals, including the means to monitor hundreds of cells targeted by genetic type or connectivity, track cells over weeks, densely sample neurons within local microcircuits, study cells too inactive to isolate in extracellular electrical recordings, and visualize activity in dendrites, axons, or dendritic spines. We discuss recent progress and future directions for imaging in behaving mammals from a systems engineering perspective, which seeks holistic consideration of fluorescent indicators, optical instrumentation, and computational analyses. Today, genetically encoded indicators of neural Ca(2+) dynamics are widely used, and those of trans-membrane voltage are rapidly improving. Two complementary imaging paradigms involve conventional microscopes for studying head-restrained animals and head-mounted miniature microscopes for imaging in freely behaving animals. Overall, the field has attained sufficient sophistication that increased cooperation between those designing new indicators, light sources, microscopes, and computational analyses would greatly benefit future progress.
View details for DOI 10.1016/j.neuron.2015.03.055
View details for Web of Science ID 000352552900018
View details for PubMedID 25856491
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The neural representation of taste quality at the periphery
NATURE
2015; 517 (7534): 373-U511
Abstract
The mammalian taste system is responsible for sensing and responding to the five basic taste qualities: sweet, sour, bitter, salty and umami. Previously, we showed that each taste is detected by dedicated taste receptor cells (TRCs) on the tongue and palate epithelium. To understand how TRCs transmit information to higher neural centres, we examined the tuning properties of large ensembles of neurons in the first neural station of the gustatory system. Here, we generated and characterized a collection of transgenic mice expressing a genetically encoded calcium indicator in central and peripheral neurons, and used a gradient refractive index microendoscope combined with high-resolution two-photon microscopy to image taste responses from ganglion neurons buried deep at the base of the brain. Our results reveal fine selectivity in the taste preference of ganglion neurons; demonstrate a strong match between TRCs in the tongue and the principal neural afferents relaying taste information to the brain; and expose the highly specific transfer of taste information between taste cells and the central nervous system.
View details for DOI 10.1038/nature13873
View details for Web of Science ID 000347810300047
View details for PubMedID 25383521
View details for PubMedCentralID PMC4297533
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Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging
NATURE NEUROSCIENCE
2014; 17 (12): 1825-1829
Abstract
Fluorescence Ca(2+) imaging enables large-scale recordings of neural activity, but collective dynamics across mammalian brain regions are generally inaccessible within single fields of view. Here we introduce a two-photon microscope possessing two articulated arms that can simultaneously image two brain areas (∼0.38 mm(2) each), either nearby or distal, using microendoscopes. Concurrent Ca(2+) imaging of ∼100-300 neurons in primary visual cortex (V1) and lateromedial (LM) visual area in behaving mice revealed that the variability in LM neurons' visual responses was strongly dependent on that in V1, suggesting that fluctuations in sensory responses propagate through extended cortical networks.
View details for DOI 10.1038/nn.3867
View details for Web of Science ID 000345484000032
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Visualizing mammalian brain area interactions by dual-axis two-photon calcium imaging.
Nature neuroscience
2014; 17 (12): 1825-1829
Abstract
Fluorescence Ca(2+) imaging enables large-scale recordings of neural activity, but collective dynamics across mammalian brain regions are generally inaccessible within single fields of view. Here we introduce a two-photon microscope possessing two articulated arms that can simultaneously image two brain areas (∼0.38 mm(2) each), either nearby or distal, using microendoscopes. Concurrent Ca(2+) imaging of ∼100-300 neurons in primary visual cortex (V1) and lateromedial (LM) visual area in behaving mice revealed that the variability in LM neurons' visual responses was strongly dependent on that in V1, suggesting that fluctuations in sensory responses propagate through extended cortical networks.
View details for DOI 10.1038/nn.3867
View details for PubMedID 25402858
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High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor.
Nature neuroscience
2014; 17 (6): 884-889
Abstract
Accurate optical reporting of electrical activity in genetically defined neuronal populations is a long-standing goal in neuroscience. We developed Accelerated Sensor of Action Potentials 1 (ASAP1), a voltage sensor design in which a circularly permuted green fluorescent protein is inserted in an extracellular loop of a voltage-sensing domain, rendering fluorescence responsive to membrane potential. ASAP1 demonstrated on and off kinetics of ∼2 ms, reliably detected single action potentials and subthreshold potential changes, and tracked trains of action potential waveforms up to 200 Hz in single trials. With a favorable combination of brightness, dynamic range and speed, ASAP1 enables continuous monitoring of membrane potential in neurons at kilohertz frame rates using standard epifluorescence microscopy.
View details for DOI 10.1038/nn.3709
View details for PubMedID 24755780
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Imaging neural spiking in brain tissue using FRET-opsin protein voltage sensors
NATURE COMMUNICATIONS
2014; 5
Abstract
Genetically encoded fluorescence voltage sensors offer the possibility of directly visualizing neural spiking dynamics in cells targeted by their genetic class or connectivity. Sensors of this class have generally suffered performance-limiting tradeoffs between modest brightness, sluggish kinetics and limited signalling dynamic range in response to action potentials. Here we describe sensors that use fluorescence resonance energy transfer (FRET) to combine the rapid kinetics and substantial voltage-dependence of rhodopsin family voltage-sensing domains with the brightness of genetically engineered protein fluorophores. These FRET-opsin sensors significantly improve upon the spike detection fidelity offered by the genetically encoded voltage sensor, Arclight, while offering faster kinetics and higher brightness. Using FRET-opsin sensors we imaged neural spiking and sub-threshold membrane voltage dynamics in cultured neurons and in pyramidal cells within neocortical tissue slices. In live mice, rates and optical waveforms of cerebellar Purkinje neurons' dendritic voltage transients matched expectations for these cells' dendritic spikes.
View details for DOI 10.1038/ncomms4674
View details for Web of Science ID 000335221800005
View details for PubMedID 24755708
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Bidirectional plasticity of purkinje cells matches temporal features of learning.
journal of neuroscience
2014; 34 (5): 1731-1737
Abstract
Many forms of learning require temporally ordered stimuli. In Pavlovian eyeblink conditioning, a conditioned stimulus (CS) must precede the unconditioned stimulus (US) by at least about 100 ms for learning to occur. Conditioned responses are learned and generated by the cerebellum. Recordings from the cerebellar cortex during conditioning have revealed CS-triggered pauses in the firing of Purkinje cells that likely drive the conditioned blinks. The predominant view of the learning mechanism in conditioning is that long-term depression (LTD) at parallel fiber (PF)-Purkinje cell synapses underlies the Purkinje cell pauses. This raises a serious conceptual challenge because LTD is most effectively induced at short CS-US intervals, which do not support acquisition of eyeblinks. To resolve this discrepancy, we recorded Purkinje cells during conditioning with short or long CS-US intervals. Decerebrated ferrets trained with CS-US intervals ≥150 ms reliably developed Purkinje cell pauses, but training with an interval of 50 ms unexpectedly induced increases in CS-evoked spiking. This bidirectional modulation of Purkinje cell activity offers a basis for the requirement of a minimum CS-US interval for conditioning, but we argue that it cannot be fully explained by LTD, even when previous in vitro studies of stimulus-timing-dependent LTD are taken into account.
View details for DOI 10.1523/JNEUROSCI.2883-13.2014
View details for PubMedID 24478355
View details for PubMedCentralID PMC3905143
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Imaging neural spiking in brain tissue using FRET-opsin protein voltage sensors.
Nature communications
2014; 5: 3674-?
Abstract
Genetically encoded fluorescence voltage sensors offer the possibility of directly visualizing neural spiking dynamics in cells targeted by their genetic class or connectivity. Sensors of this class have generally suffered performance-limiting tradeoffs between modest brightness, sluggish kinetics and limited signalling dynamic range in response to action potentials. Here we describe sensors that use fluorescence resonance energy transfer (FRET) to combine the rapid kinetics and substantial voltage-dependence of rhodopsin family voltage-sensing domains with the brightness of genetically engineered protein fluorophores. These FRET-opsin sensors significantly improve upon the spike detection fidelity offered by the genetically encoded voltage sensor, Arclight, while offering faster kinetics and higher brightness. Using FRET-opsin sensors we imaged neural spiking and sub-threshold membrane voltage dynamics in cultured neurons and in pyramidal cells within neocortical tissue slices. In live mice, rates and optical waveforms of cerebellar Purkinje neurons' dendritic voltage transients matched expectations for these cells' dendritic spikes.
View details for DOI 10.1038/ncomms4674
View details for PubMedID 24755708
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High-speed laser microsurgery of alert fruit flies for fluorescence imaging of neural activity
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2013; 110 (46): 18374-18379
Abstract
Intravital microscopy is a key means of monitoring cellular function in live organisms, but surgical preparation of a live animal for microscopy often is time-consuming, requires considerable skill, and limits experimental throughput. Here we introduce a spatially precise (<1-µm edge precision), high-speed (<1 s), largely automated, and economical protocol for microsurgical preparation of live animals for optical imaging. Using a 193-nm pulsed excimer laser and the fruit fly as a model, we created observation windows (12- to 350-µm diameters) in the exoskeleton. Through these windows we used two-photon microscopy to image odor-evoked Ca(2+) signaling in projection neuron dendrites of the antennal lobe and Kenyon cells of the mushroom body. The impact of a laser-cut window on fly health appears to be substantially less than that of conventional manual dissection, for our imaging durations of up to 18 h were ∼5-20 times longer than prior in vivo microscopy studies of hand-dissected flies. This improvement will facilitate studies of numerous questions in neuroscience, such as those regarding neuronal plasticity or learning and memory. As a control, we used phototaxis as an exemplary complex behavior in flies and found that laser microsurgery is sufficiently gentle to leave it intact. To demonstrate that our techniques are applicable to other species, we created microsurgical openings in nematodes, ants, and the mouse cranium. In conjunction with emerging robotic methods for handling and mounting flies or other small organisms, our rapid, precisely controllable, and highly repeatable microsurgical techniques should enable automated, high-throughput preparation of live animals for optical experimentation.
View details for DOI 10.1073/pnas.1216287110
View details for Web of Science ID 000326830900029
View details for PubMedID 24167298
View details for PubMedCentralID PMC3832030
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Engineering Approaches to Illuminating Brain Structure and Dynamics
NEURON
2013; 80 (3): 568-577
Abstract
Historical milestones in neuroscience have come in diverse forms, ranging from the resolution of specific biological mysteries via creative experimentation to broad technological advances allowing neuroscientists to ask new kinds of questions. The continuous development of tools is driven with a special necessity by the complexity, fragility, and inaccessibility of intact nervous systems, such that inventive technique development and application drawing upon engineering and the applied sciences has long been essential to neuroscience. Here we highlight recent technological directions in neuroscience spurred by progress in optical, electrical, mechanical, chemical, and biological engineering. These research areas are poised for rapid growth and will likely be central to the practice of neuroscience well into the future.
View details for DOI 10.1016/j.neuron.2013.10.032
View details for Web of Science ID 000326609900004
View details for PubMedID 24183010
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Sarcomere lengths in human extensor carpi radialis brevis measured by microendoscopy
MUSCLE & NERVE
2013; 48 (2): 286-292
Abstract
Second-harmonic generation microendoscopy is a minimally invasive technique to image sarcomeres and measure their lengths in humans, but motion artifact and low signal have limited the use of this novel technique.We discovered that an excitation wavelength of 960 nm maximized image signal; this enabled an image acquisition rate of 3 frames/s, which decreased motion artifact. We then used microendoscopy to measure sarcomere lengths in the human extensor carpi radialis brevis with the wrist at 45° extension and 45° flexion in 7 subjects. We also measured the variability in sarcomere lengths within single fibers.Average sarcomere lengths in 45° extension were 2.93±0.29 μm (±SD) and increased to 3.58±0.19 μm in 45° flexion. Within single fibers the standard deviation of sarcomere lengths in series was 0.20 μm.Microendoscopy can be used to measure sarcomere lengths at different body postures. Lengths of sarcomeres in series within a fiber vary substantially. Muscle Nerve, 48: 286-292, 2013.
View details for DOI 10.1002/mus.23760
View details for Web of Science ID 000322158500019
View details for PubMedID 23813625
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Enhanced Archaerhodopsin Fluorescent Protein Voltage Indicators.
PloS one
2013; 8 (6): e66959
Abstract
A longstanding goal in neuroscience has been to develop techniques for imaging the voltage dynamics of genetically defined subsets of neurons. Optical sensors of transmembrane voltage would enhance studies of neural activity in contexts ranging from individual neurons cultured in vitro to neuronal populations in awake-behaving animals. Recent progress has identified Archaerhodopsin (Arch) based sensors as a promising, genetically encoded class of fluorescent voltage indicators that can report single action potentials. Wild-type Arch exhibits sub-millisecond fluorescence responses to trans-membrane voltage, but its light-activated proton pump also responds to the imaging illumination. An Arch mutant (Arch-D95N) exhibits no photocurrent, but has a slower, ~40 ms response to voltage transients. Here we present Arch-derived voltage sensors with trafficking signals that enhance their localization to the neural membrane. We also describe Arch mutant sensors (Arch-EEN and -EEQ) that exhibit faster kinetics and greater fluorescence dynamic range than Arch-D95N, and no photocurrent at the illumination intensities normally used for imaging. We benchmarked these voltage sensors regarding their spike detection fidelity by using a signal detection theoretic framework that takes into account the experimentally measured photon shot noise and optical waveforms for single action potentials. This analysis revealed that by combining the sequence mutations and enhanced trafficking sequences, the new sensors improved the fidelity of spike detection by nearly three-fold in comparison to Arch-D95N.
View details for DOI 10.1371/journal.pone.0066959
View details for PubMedID 23840563
View details for PubMedCentralID PMC3686764
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Enhanced Archaerhodopsin Fluorescent Protein Voltage Indicators
PLOS ONE
2013; 8 (6)
Abstract
The aim of this study was to present the therapeutic outcome of patients with locally advanced pancreatic cancer treated with pancreatoduodenectomy combined with vascular resection and reconstruction in addition to highlighting the mortality/morbidity and main prognostic factors associated with this treatment.We retrospectively analyzed the clinical and pathological data of a total of 566 pancreatic cancer patients who were treated with PD from five teaching hospitals during the period of December 2006-December 2011. This study included 119 (21.0%) patients treated with PD combined with vascular resection and reconstruction. We performed a detailed statistical analysis of various factors, including postoperative complications, operative mortality, survival rate, operative time, pathological type, and lymph node metastasis.The median survival time of the 119 cases that received PD combined with vascular resection was 13.3 months, and the 1-, 2-, and 3-year survival rates were 30.3%, 14.1%, and 8.1%, respectively. The postoperative complication incidence was 23.5%, and the mortality rate was 6.7%. For the combined vascular resection group, complications occurred in 28 cases (23.5%). For the group without vascular resection, complications occurred in 37 cases (8.2%). There was significant difference between the two groups (p = 0.001). The degree of tumor differentiation and the occurrence of complications after surgery were independent prognostic factors that determined the patients' long-term survival.Compared with PD without vascular resection, PD combined with vascular resection and reconstruction increased the incidence of postoperative complications. However, PD combined with vascular resection and reconstruction could achieve the complete removal of tumors without significantly increasing the mortality rate, and the median survival time was higher than that of patients who underwent palliative treatment. In addition, the two independent factors affecting the postoperative survival time were the degree of tumor differentiation and the presence or absence of postoperative complications.
View details for DOI 10.1371/journal.pone.0066959
View details for Web of Science ID 000322361200112
View details for PubMedCentralID PMC3732270
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GABAergic Lateral Interactions Tune the Early Stages of Visual Processing in Drosophila
NEURON
2013; 78 (6): 1075-1089
Abstract
Early stages of visual processing must capture complex, dynamic inputs. While peripheral neurons often implement efficient encoding by exploiting natural stimulus statistics, downstream neurons are specialized to extract behaviorally relevant features. How do these specializations arise? We use two-photon imaging in Drosophila to characterize a first-order interneuron, L2, that provides input to a pathway specialized for detecting moving dark edges. GABAergic interactions, mediated in part presynaptically, create an antagonistic and anisotropic center-surround receptive field. This receptive field is spatiotemporally coupled, applying differential temporal processing to large and small dark objects, achieving significant specialization. GABAergic circuits also mediate OFF responses and balance these with responses to ON stimuli. Remarkably, the functional properties of L2 are strikingly similar to those of bipolar cells, yet emerge through different molecular and circuit mechanisms. Thus, evolution appears to have converged on a common strategy for processing visual information at the first synapse.
View details for DOI 10.1016/j.neuron.2013.04.024
View details for Web of Science ID 000321026900013
View details for PubMedID 23791198
View details for PubMedCentralID PMC3694283
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Optical Strategies for Sensing Neuronal Voltage Using Quantum Dots and Other Semiconductor Nanocrystals
ACS NANO
2013; 7 (5): 4601-4609
Abstract
Biophysicists have long sought optical methods capable of reporting the electrophysiological dynamics of large-scale neural networks with millisecond-scale temporal resolution. Existing fluorescent sensors of cell membrane voltage can report action potentials in individual cultured neurons, but limitations in brightness and dynamic range of both synthetic organic and genetically encoded voltage sensors have prevented concurrent monitoring of spiking activity across large populations of individual neurons. Here we propose a novel, inorganic class of fluorescent voltage sensors: semiconductor nanoparticles, such as ultrabright quantum dots (qdots). Our calculations revealed that transmembrane electric fields characteristic of neuronal spiking (~10 mV/nm) modulate a qdot's electronic structure and can induce ~5% changes in its fluorescence intensity and ~1 nm shifts in its emission wavelength, depending on the qdot's size, composition, and dielectric environment. Moreover, tailored qdot sensors composed of two different materials can exhibit substantial (~30%) changes in fluorescence intensity during neuronal spiking. Using signal detection theory, we show that conventional qdots should be capable of reporting voltage dynamics with millisecond precision across several tens or more individual neurons over a range of optical and neurophysiological conditions. These results unveil promising avenues for imaging spiking dynamics in neural networks and merit in-depth experimental investigation.
View details for DOI 10.1021/nn401410k
View details for Web of Science ID 000319856300102
View details for PubMedID 23614672
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Nanotools for Neuroscience and Brain Activity Mapping
ACS NANO
2013; 7 (3): 1850-1866
Abstract
Neuroscience is at a crossroads. Great effort is being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We attribute this disparity, in part, to limitations in current methodologies. Traditional neurophysiological approaches record the activities of one neuron or a few neurons at a time. Neurochemical approaches focus on single neurotransmitters. Yet, there is an increasing realization that neural circuits operate at emergent levels, where the interactions between hundreds or thousands of neurons, utilizing multiple chemical transmitters, generate functional states. Brains function at the nanoscale, so tools to study brains must ultimately operate at this scale, as well. Nanoscience and nanotechnology are poised to provide a rich toolkit of novel methods to explore brain function by enabling simultaneous measurement and manipulation of activity of thousands or even millions of neurons. We and others refer to this goal as the Brain Activity Mapping Project. In this Nano Focus, we discuss how recent developments in nanoscale analysis tools and in the design and synthesis of nanomaterials have generated optical, electrical, and chemical methods that can readily be adapted for use in neuroscience. These approaches represent exciting areas of technical development and research. Moreover, unique opportunities exist for nanoscientists, nanotechnologists, and other physical scientists and engineers to contribute to tackling the challenging problems involved in understanding the fundamentals of brain function.
View details for DOI 10.1021/nn4012847
View details for Web of Science ID 000316846700005
View details for PubMedID 23514423
View details for PubMedCentralID PMC3665747
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Long-term dynamics of CA1 hippocampal place codes
NATURE NEUROSCIENCE
2013; 16 (3): 264-266
Abstract
Using Ca(2+) imaging in freely behaving mice that repeatedly explored a familiar environment, we tracked thousands of CA1 pyramidal cells' place fields over weeks. Place coding was dynamic, as each day the ensemble representation of this environment involved a unique subset of cells. However, cells in the ∼15-25% overlap between any two of these subsets retained the same place fields, which sufficed to preserve an accurate spatial representation across weeks.
View details for DOI 10.1038/nn.3329
View details for Web of Science ID 000315474800006
View details for PubMedID 23396101
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Improving FRET Dynamic Range with Bright Green and Red Fluorescent Proteins
57th Annual Meeting of the Biophysical-Society
CELL PRESS. 2013: 683A–683A
View details for Web of Science ID 000316074306459
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Photon Shot Noise Limits on Optical Detection of Neuronal Spikes and Estimation of Spike Timing
BIOPHYSICAL JOURNAL
2013; 104 (1): 51-62
Abstract
Optical approaches for tracking neural dynamics are of widespread interest, but a theoretical framework quantifying the physical limits of these techniques has been lacking. We formulate such a framework by using signal detection and estimation theory to obtain physical bounds on the detection of neural spikes and the estimation of their occurrence times as set by photon counting statistics (shot noise). These bounds are succinctly expressed via a discriminability index that depends on the kinetics of the optical indicator and the relative fluxes of signal and background photons. This approach facilitates quantitative evaluations of different indicators, detector technologies, and data analyses. Our treatment also provides optimal filtering techniques for optical detection of spikes. We compare various types of Ca(2+) indicators and show that background photons are a chief impediment to voltage sensing. Thus, voltage indicators that change color in response to membrane depolarization may offer a key advantage over those that change intensity. We also examine fluorescence resonance energy transfer indicators and identify the regimes in which the widely used ratiometric analysis of signals is substantially suboptimal. Overall, by showing how different optical factors interact to affect signal quality, our treatment offers a valuable guide to experimental design and provides measures of confidence to assess optically extracted traces of neural activity.
View details for DOI 10.1016/j.bpj.2012.07.058
View details for Web of Science ID 000313541200008
View details for PubMedID 23332058
View details for PubMedCentralID PMC3540268
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Towards a Photonic Crystal Mode-Locked Laser
Conference on Novel In-Plane Semiconductor Lasers XII
SPIE-INT SOC OPTICAL ENGINEERING. 2013
View details for DOI 10.1117/12.2005418
View details for Web of Science ID 000322737200016
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Two-photon optogenetic toolbox for fast inhibition, excitation and bistable modulation
NATURE METHODS
2012; 9 (12): 1171-U132
Abstract
Optogenetics with microbial opsin genes has enabled high-speed control of genetically specified cell populations in intact tissue. However, it remains a challenge to independently control subsets of cells within the genetically targeted population. Although spatially precise excitation of target molecules can be achieved using two-photon laser-scanning microscopy (TPLSM) hardware, the integration of two-photon excitation with optogenetics has thus far required specialized equipment or scanning and has not yet been widely adopted. Here we take a complementary approach, developing opsins with custom kinetic, expression and spectral properties uniquely suited to scan times typical of the raster approach that is ubiquitous in TPLSMlaboratories. We use a range of culture, slice and mammalian in vivo preparations to demonstrate the versatility of this toolbox, and we quantitatively map parameter space for fast excitation, inhibition and bistable control. Together these advances may help enable broad adoption of integrated optogenetic and TPLSMtechnologies across experimental fields and systems.
View details for DOI 10.1038/NMETH.2215
View details for PubMedID 23169303
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Unified Resolution Bounds for Conventional and Stochastic Localization Fluorescence Microscopy
PHYSICAL REVIEW LETTERS
2012; 109 (16)
Abstract
Superresolution microscopy enables imaging in the optical far field with ~20 nm-scale resolution. However, classical concepts of resolution using point-spread and modulation-transfer functions fail to describe the physical limits of superresolution techniques based on stochastic localization of single emitters. Prior treatments of stochastic localization microscopy have defined how accurately a single emitter's position can be determined, but these bounds are restricted to sparse emitters, do not describe conventional microscopy, and fail to provide unified concepts of resolution for all optical methods. Here we introduce a measure of resolution, the information transfer function (ITF), that gives physical limits for conventional and stochastic localization techniques. The ITF bounds the accuracy of image determination as a function of spatial frequency and for conventional microscopy is proportional to the square of the modulation-transfer function. We use the ITF to describe how emitter density and photon counts affect imaging performance across the continuum from conventional to superresolution microscopy, without assuming emitters are sparse. This unified physical description of resolution facilitates experimental choices and designs of image reconstruction algorithms.
View details for DOI 10.1103/PhysRevLett.109.168102
View details for Web of Science ID 000309905400027
View details for PubMedID 23215134
View details for PubMedCentralID PMC3521605
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Improving FRET dynamic range with bright green and red fluorescent proteins
NATURE METHODS
2012; 9 (10): 1005-?
Abstract
A variety of genetically encoded reporters use changes in fluorescence (or Förster) resonance energy transfer (FRET) to report on biochemical processes in living cells. The standard genetically encoded FRET pair consists of CFPs and YFPs, but many CFP-YFP reporters suffer from low FRET dynamic range, phototoxicity from the CFP excitation light and complex photokinetic events such as reversible photobleaching and photoconversion. We engineered two fluorescent proteins, Clover and mRuby2, which are the brightest green and red fluorescent proteins to date and have the highest Förster radius of any ratiometric FRET pair yet described. Replacement of CFP and YFP with these two proteins in reporters of kinase activity, small GTPase activity and transmembrane voltage significantly improves photostability, FRET dynamic range and emission ratio changes. These improvements enhance detection of transient biochemical events such as neuronal action-potential firing and RhoA activation in growth cones.
View details for DOI 10.1038/NMETH.2171
View details for Web of Science ID 000309519300023
View details for PubMedID 22961245
View details for PubMedCentralID PMC3461113
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In vivo optical microendoscopy for imaging cells lying deep within live tissue.
Cold Spring Harbor protocols
2012; 2012 (10): 1029-1034
Abstract
Although in vivo microscopy has been pivotal in enabling studies of neuronal structure and function in the intact mammalian brain, conventional intravital microscopy has generally been limited to superficial brain areas such as the olfactory bulb, the neocortex, or the cerebellar cortex. For imaging cells in deeper areas, this article discusses in vivo optical microendoscopy using gradient refractive index (GRIN) microlenses that can be inserted into tissue. Our general methodology is broadly applicable to many deep brain regions and areas of the body. Microendoscopes are available in a wide variety of optical designs, allowing imaging across a range of spatial scales and with spatial resolution that can now closely approach that offered by standard water-immersion microscope objectives. The incorporation of microendoscope probes into portable miniaturized microscopes allows imaging in freely behaving animals. When combined with the broad sets of available fluorescent markers, animal preparations, and genetically modified mice, microendoscopic methods enable sophisticated experimental designs for probing how cellular characteristics may underlie or reflect animal behavior and life experience, in healthy animals and animal models of disease.
View details for DOI 10.1101/pdb.top071464
View details for PubMedID 23028071
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In vivo microendoscopy of the hippocampus.
Cold Spring Harbor protocols
2012; 2012 (10): 1092-1099
Abstract
Conventional intravital microscopy has generally been limited to superficial brain areas such as the olfactory bulb, the neocortex, or the cerebellar cortex. In vivo optical microendoscopy uses gradient refractive index (GRIN) microlenses that can be inserted into tissue to image cells in deeper areas. This protocol describes in vivo microendoscopy of the mouse hippocampus. The general methodology can be applied to many deep brain regions and other areas of the body.
View details for DOI 10.1101/pdb.prot071472
View details for PubMedID 23028072
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Estimation Theoretic Measure of Resolution for Stochastic Localization Microscopy
PHYSICAL REVIEW LETTERS
2012; 109 (4)
Abstract
One approach to super-resolution fluorescence microscopy, termed stochastic localization microscopy, relies on the nanometer scale spatial localization of individual fluorescent emitters that stochastically label specific features of the specimen. The precision of emitter localization is an important determinant of the resulting image resolution but is insufficient to specify how well the derived images capture the structure of the specimen. We address this deficiency by considering the inference of specimen structure based on the estimated emitter locations. By using estimation theory, we develop a measure of spatial resolution that jointly depends on the density of the emitter labels, the precision of emitter localization, and prior information regarding the spatial frequency content of the labeled object. The Nyquist criterion does not set the scaling of this measure with emitter number. Given prior information and a fixed emitter labeling density, our resolution measure asymptotes to a finite value as the precision of emitter localization improves. By considering the present experimental capabilities, this asymptotic behavior implies that further resolution improvements require increases in labeling density above typical current values. Our treatment also yields algorithms to enhance reliable image features. Overall, our formalism facilitates the rigorous statistical interpretation of the data produced by stochastic localization imaging techniques.
View details for DOI 10.1103/PhysRevLett.109.048102
View details for Web of Science ID 000306690700012
View details for PubMedID 23006110
View details for PubMedCentralID PMC3478896
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Miniaturized integration of a fluorescence microscope
NATURE METHODS
2011; 8 (10): 871-U147
Abstract
The light microscope is traditionally an instrument of substantial size and expense. Its miniaturized integration would enable many new applications based on mass-producible, tiny microscopes. Key prospective usages include brain imaging in behaving animals for relating cellular dynamics to animal behavior. Here we introduce a miniature (1.9 g) integrated fluorescence microscope made from mass-producible parts, including a semiconductor light source and sensor. This device enables high-speed cellular imaging across ∼0.5 mm2 areas in active mice. This capability allowed concurrent tracking of Ca2+ spiking in >200 Purkinje neurons across nine cerebellar microzones. During mouse locomotion, individual microzones exhibited large-scale, synchronized Ca2+ spiking. This is a mesoscopic neural dynamic missed by prior techniques for studying the brain at other length scales. Overall, the integrated microscope is a potentially transformative technology that permits distribution to many animals and enables diverse usages, such as portable diagnostics or microscope arrays for large-scale screens.
View details for DOI 10.1038/NMETH.1694
View details for Web of Science ID 000295358000024
View details for PubMedID 21909102
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Symmetries in stimulus statistics shape the form of visual motion estimators
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2011; 108 (31): 12909-12914
Abstract
The estimation of visual motion has long been studied as a paradigmatic neural computation, and multiple models have been advanced to explain behavioral and neural responses to motion signals. A broad class of models, originating with the Reichardt correlator model, proposes that animals estimate motion by computing a temporal cross-correlation of light intensities from two neighboring points in visual space. These models provide a good description of experimental data in specific contexts but cannot explain motion percepts in stimuli lacking pairwise correlations. Here, we develop a theoretical formalism that can accommodate diverse stimuli and behavioral goals. To achieve this, we treat motion estimation as a problem of Bayesian inference. Pairwise models emerge as one component of the generalized strategy for motion estimation. However, correlation functions beyond second order enable more accurate motion estimation. Prior expectations that are asymmetric with respect to bright and dark contrast use correlations of both even and odd orders, and we show that psychophysical experiments using visual stimuli with symmetric probability distributions for contrast cannot reveal whether the subject uses odd-order correlators for motion estimation. This result highlights a gap in previous experiments, which have largely relied on symmetric contrast distributions. Our theoretical treatment provides a natural interpretation of many visual motion percepts, indicates that motion estimation should be revisited using a broader class of stimuli, demonstrates how correlation-based motion estimation is related to stimulus statistics, and provides multiple experimentally testable predictions.
View details for DOI 10.1073/pnas.1015680108
View details for Web of Science ID 000293385700073
View details for PubMedID 21768376
View details for PubMedCentralID PMC3150910
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An infrared fluorescent protein for deeper imaging
NATURE BIOTECHNOLOGY
2011; 29 (8): 715-716
View details for DOI 10.1038/nbt.1941
View details for Web of Science ID 000293696500021
View details for PubMedID 21822247
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Defining the Computational Structure of the Motion Detector in Drosophila
NEURON
2011; 70 (6): 1165-1177
Abstract
Many animals rely on visual motion detection for survival. Motion information is extracted from spatiotemporal intensity patterns on the retina, a paradigmatic neural computation. A phenomenological model, the Hassenstein-Reichardt correlator (HRC), relates visual inputs to neural activity and behavioral responses to motion, but the circuits that implement this computation remain unknown. By using cell-type specific genetic silencing, minimal motion stimuli, and in vivo calcium imaging, we examine two critical HRC inputs. These two pathways respond preferentially to light and dark moving edges. We demonstrate that these pathways perform overlapping but complementary subsets of the computations underlying the HRC. A numerical model implementing differential weighting of these operations displays the observed edge preferences. Intriguingly, these pathways are distinguished by their sensitivities to a stimulus correlation that corresponds to an illusory percept, "reverse phi," that affects many species. Thus, this computational architecture may be widely used to achieve edge selectivity in motion detection.
View details for DOI 10.1016/j.neuron.2011.05.023
View details for Web of Science ID 000292410700014
View details for PubMedID 21689602
View details for PubMedCentralID PMC3121538
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Time-lapse imaging of disease progression in deep brain areas using fluorescence microendoscopy
NATURE MEDICINE
2011; 17 (2): 223-U120
Abstract
The combination of intravital microscopy and animal models of disease has propelled studies of disease mechanisms and treatments. However, many disorders afflict tissues inaccessible to light microscopy in live subjects. Here we introduce cellular-level time-lapse imaging deep within the live mammalian brain by one- and two-photon fluorescence microendoscopy over multiple weeks. Bilateral imaging sites allowed longitudinal comparisons within individual subjects, including of normal and diseased tissues. Using this approach, we tracked CA1 hippocampal pyramidal neuron dendrites in adult mice, revealing these dendrites' extreme stability and rare examples of their structural alterations. To illustrate disease studies, we tracked deep lying gliomas by observing tumor growth, visualizing three-dimensional vasculature structure and determining microcirculatory speeds. Average erythrocyte speeds in gliomas declined markedly as the disease advanced, notwithstanding significant increases in capillary diameters. Time-lapse microendoscopy will be applicable to studies of numerous disorders, including neurovascular, neurological, cancerous and trauma-induced conditions.
View details for DOI 10.1038/nm.2292
View details for Web of Science ID 000286969900032
View details for PubMedID 21240263
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Journal club. A neuroscientist learns about algorithms for motor learning.
Nature
2010; 463 (7279): 273-?
View details for DOI 10.1038/463273e
View details for PubMedID 20090712
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Automated Analysis of Cellular Signals from Large-Scale Calcium Imaging Data
NEURON
2009; 63 (6): 747-760
Abstract
Recent advances in fluorescence imaging permit studies of Ca(2+) dynamics in large numbers of cells, in anesthetized and awake behaving animals. However, unlike for electrophysiological signals, standardized algorithms for assigning optically recorded signals to individual cells have not yet emerged. Here, we describe an automated sorting procedure that combines independent component analysis and image segmentation for extracting cells' locations and their dynamics with minimal human supervision. In validation studies using simulated data, automated sorting significantly improved estimation of cellular signals compared to conventional analysis based on image regions of interest. We used automated procedures to analyze data recorded by two-photon Ca(2+) imaging in the cerebellar vermis of awake behaving mice. Our analysis yielded simultaneous Ca(2+) activity traces for up to >100 Purkinje cells and Bergmann glia from single recordings. Using this approach, we found microzones of Purkinje cells that were stable across behavioral states and in which synchronous Ca(2+) spiking rose significantly during locomotion.
View details for DOI 10.1016/j.neuron.2009.08.009
View details for Web of Science ID 000270569700009
View details for PubMedID 19778505
View details for PubMedCentralID PMC3282191
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In vivo brain imaging using a portable 2.9 g two-photon microscope based on a microelectromechanical systems scanning mirror
OPTICS LETTERS
2009; 34 (15): 2309-2311
Abstract
We present a two-photon microscope that is approximately 2.9 g in mass and 2.0 x 1.9 x 1.1 cm(3) in size and based on a microelectromechanical systems (MEMS) laser-scanning mirror. The microscope has a focusing motor and a micro-optical assembly composed of four gradient refractive index lenses and a dichroic microprism. Fluorescence is captured without the detected emissions reflecting off the MEMS mirror, by use of separate optical fibers for fluorescence collection and delivery of ultrashort excitation pulses. Using this microscope we imaged neocortical microvasculature and tracked the flow of erythrocytes in live mice.
View details for Web of Science ID 000269405900022
View details for PubMedID 19649080
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In vivo fluorescence imaging with high-resolution microlenses
NATURE METHODS
2009; 6 (7): 511-U61
Abstract
Micro-optics are increasingly used for minimally invasive in vivo imaging, in miniaturized microscopes and in lab-on-a-chip devices. Owing to optical aberrations and lower numerical apertures, a main class of microlens, gradient refractive index lenses, has not achieved resolution comparable to conventional microscopy. Here we describe high-resolution microlenses, and illustrate two-photon imaging of dendritic spines on hippocampal neurons and dual-color nonlinear optical imaging of neuromuscular junctions in live mice.
View details for DOI 10.1038/nmeth.1339
View details for Web of Science ID 000267442900019
View details for PubMedID 19525959
View details for PubMedCentralID PMC2849805
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Motor Behavior Activates Bergmann Glial Networks
NEURON
2009; 62 (3): 400-412
Abstract
Although it is firmly established that neuronal activity is a prime determinant of animal behavior, relationships between astrocytic excitation and animal behavior have remained opaque. Cerebellar Bergmann glia are radial astrocytes that are implicated in motor behavior and exhibit Ca(2+) excitation. However, Ca(2+) excitation in these cells has not previously been studied in behaving animals. Using two-photon microscopy we found that Bergmann glia exhibit three forms of Ca(2+) excitation in awake, behaving mice. Two of these are ongoing within the cerebellar vermis. During locomotor performance concerted Ca(2+) excitation arises in networks of at least hundreds of Bergmann glia extending across several hundred microns or more. Concerted Ca(2+) excitation was abolished by anesthesia or blockade of either neural activity or glutamatergic transmission. Thus, large networks of Bergmann glia can be activated by specific animal behaviors and undergo excitation of sufficient magnitude to potentially initiate macroscopic changes in brain dynamics or blood flow.
View details for DOI 10.1016/j.neuron.2009.03.019
View details for Web of Science ID 000266146100011
View details for PubMedID 19447095
View details for PubMedCentralID PMC2820366
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IMAGING SARCOMERES OF EXTENSOR CARPI RADIALIS BREVIS IN HUMANS USING MINIMALLY INVASIVE MICROENDOSCOPY
ASME Summer Bioengineering Conference
AMER SOC MECHANICAL ENGINEERS. 2009: 1009–1010
View details for Web of Science ID 000280089000505
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Advances in Light Microscopy for Neuroscience
ANNUAL REVIEW OF NEUROSCIENCE
2009; 32: 435-506
Abstract
Since the work of Golgi and Cajal, light microscopy has remained a key tool for neuroscientists to observe cellular properties. Ongoing advances have enabled new experimental capabilities using light to inspect the nervous system across multiple spatial scales, including ultrastructural scales finer than the optical diffraction limit. Other progress permits functional imaging at faster speeds, at greater depths in brain tissue, and over larger tissue volumes than previously possible. Portable, miniaturized fluorescence microscopes now allow brain imaging in freely behaving mice. Complementary progress on animal preparations has enabled imaging in head-restrained behaving animals, as well as time-lapse microscopy studies in the brains of live subjects. Mouse genetic approaches permit mosaic and inducible fluorescence-labeling strategies, whereas intrinsic contrast mechanisms allow in vivo imaging of animals and humans without use of exogenous markers. This review surveys such advances and highlights emerging capabilities of particular interest to neuroscientists.
View details for DOI 10.1146/annurev.neuro.051508.135540
View details for Web of Science ID 000268504100018
View details for PubMedID 19555292
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High-speed, miniaturized fluorescence microscopy in freely moving mice
NATURE METHODS
2008; 5 (11): 935-938
Abstract
A central goal in biomedicine is to explain organismic behavior in terms of causal cellular processes. However, concurrent observation of mammalian behavior and underlying cellular dynamics has been a longstanding challenge. We describe a miniaturized (1.1 g mass) epifluorescence microscope for cellular-level brain imaging in freely moving mice, and its application to imaging microcirculation and neuronal Ca(2+) dynamics.
View details for DOI 10.1038/nmeth.1256
View details for Web of Science ID 000260532500010
View details for PubMedID 18836457
View details for PubMedCentralID PMC2828344
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Lock-and-key mechanisms of cerebellar memory recall based on rebound currents
JOURNAL OF NEUROPHYSIOLOGY
2008; 100 (4): 2328-2347
Abstract
A basic question for theories of learning and memory is whether neuronal plasticity suffices to guide proper memory recall. Alternatively, information processing that is additional to readout of stored memories might occur during recall. We formulate a "lock-and-key" hypothesis regarding cerebellum-dependent motor memory in which successful learning shapes neural activity to match a temporal filter that prevents expression of stored but inappropriate motor responses. Thus, neuronal plasticity by itself is necessary but not sufficient to modify motor behavior. We explored this idea through computational studies of two cerebellar behaviors and examined whether deep cerebellar and vestibular nuclei neurons can filter signals from Purkinje cells that would otherwise drive inappropriate motor responses. In eyeblink conditioning, reflex acquisition requires the conditioned stimulus (CS) to precede the unconditioned stimulus (US) by >100 ms. In our biophysical models of cerebellar nuclei neurons this requirement arises through the phenomenon of postinhibitory rebound depolarization and matches longstanding behavioral data on conditioned reflex timing and reliability. Although CS-US intervals<100 ms may induce Purkinje cell plasticity, cerebellar nuclei neurons drive conditioned responses only if the CS-US training interval was >100 ms. This bound reflects the minimum time for deinactivation of rebound currents such as T-type Ca2+. In vestibulo-ocular reflex adaptation, hyperpolarization-activated currents in vestibular nuclei neurons may underlie analogous dependence of adaptation magnitude on the timing of visual and vestibular stimuli. Thus, the proposed lock-and-key mechanisms link channel kinetics to recall performance and yield specific predictions of how perturbations to rebound depolarization affect motor expression.
View details for DOI 10.1152/jn.00344.2007
View details for Web of Science ID 000259967000055
View details for PubMedID 17671105
View details for PubMedCentralID PMC2576199
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Minimally invasive high-speed imaging of sarcomere contractile dynamics in mice and humans
NATURE
2008; 454 (7205): 784-788
Abstract
Sarcomeres are the basic contractile units of striated muscle. Our knowledge about sarcomere dynamics has primarily come from in vitro studies of muscle fibres and analysis of optical diffraction patterns obtained from living muscles. Both approaches involve highly invasive procedures and neither allows examination of individual sarcomeres in live subjects. Here we report direct visualization of individual sarcomeres and their dynamical length variations using minimally invasive optical microendoscopy to observe second-harmonic frequencies of light generated in the muscle fibres of live mice and humans. Using microendoscopes as small as 350 microm in diameter, we imaged individual sarcomeres in both passive and activated muscle. Our measurements permit in vivo characterization of sarcomere length changes that occur with alterations in body posture and visualization of local variations in sarcomere length not apparent in aggregate length determinations. High-speed data acquisition enabled observation of sarcomere contractile dynamics with millisecond-scale resolution. These experiments point the way to in vivo imaging studies demonstrating how sarcomere performance varies with physical conditioning and physiological state, as well as imaging diagnostics revealing how neuromuscular diseases affect contractile dynamics.
View details for DOI 10.1038/nature07104
View details for Web of Science ID 000258228000049
View details for PubMedID 18600262
View details for PubMedCentralID PMC2826360
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A portable two-photon fluorescence microendoscope based on a two-dimensional scanning mirror
IEEE/LEOS International Conference on Optical MEMS and Nanophotonics
IEEE. 2007: 6–7
View details for Web of Science ID 000251224200004
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Long-term cellular level imaging of deep brain areas using one- and two-photon fluorescence microendoscopy
51st Annual Meeting of the Biophysical-Society
CELL PRESS. 2007: 155A–155A
View details for Web of Science ID 000243972400718
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Next-generation optical technologies for illuminating genetically targeted brain circuits
JOURNAL OF NEUROSCIENCE
2006; 26 (41): 10380-10386
Abstract
Emerging technologies from optics, genetics, and bioengineering are being combined for studies of intact neural circuits. The rapid progression of such interdisciplinary "optogenetic" approaches has expanded capabilities for optical imaging and genetic targeting of specific cell types. Here we explore key recent advances that unite optical and genetic approaches, focusing on promising techniques that either allow novel studies of neural dynamics and behavior or provide fresh perspectives on classic model systems.
View details for DOI 10.1523/JNEUROSCI.3863-06.2006
View details for Web of Science ID 000241192800010
View details for PubMedID 17035522
View details for PubMedCentralID PMC2820367
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Fast-scanning two-photon fluorescence imaging based on a microelectromechanical systems two-dimensional scanning mirror
OPTICS LETTERS
2006; 31 (13): 2018-2020
Abstract
Towards overcoming the size limitations of conventional two-photon fluorescence microscopy, we introduce two-photon imaging based on microelectromechanical systems (MEMS) scanners. Single crystalline silicon scanning mirrors that are 0.75 mm x 0.75 mm in size and driven in two dimensions by microfabricated vertical comb electrostatic actuators can provide optical deflection angles through a range of approximately16 degrees . Using such scanners we demonstrated two-photon microscopy and microendoscopy with fast-axis acquisition rates up to 3.52 kHz.
View details for Web of Science ID 000238494600026
View details for PubMedID 16770418
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In vivo Imaging of mammalian cochlear blood flow using fluorescence microendoscopy
Annual Meeting of the American-Neurotology-Society
LIPPINCOTT WILLIAMS & WILKINS. 2006: 144–52
Abstract
We sought to develop techniques for visualizing cochlear blood flow in live mammalian subjects using fluorescence microendoscopy.Inner ear microcirculation appears to be intimately involved in cochlear function. Blood velocity measurements suggest that intense sounds can alter cochlear blood flow. Disruption of cochlear blood flow may be a significant cause of hearing impairment, including sudden sensorineural hearing loss. However, inability to image cochlear blood flow in a nondestructive manner has limited investigation of the role of inner ear microcirculation in hearing function. Present techniques for imaging cochlear microcirculation using intravital light microscopy involve extensive perturbations to cochlear structure, precluding application in human patients. The few previous endoscopy studies of the cochlea have suffered from optical resolution insufficient for visualizing cochlear microvasculature. Fluorescence microendoscopy is an emerging minimally invasive imaging modality that provides micron-scale resolution in tissues inaccessible to light microscopy. In this article, we describe the use of fluorescence microendoscopy in live guinea pigs to image capillary blood flow and movements of individual red blood cells within the basal turn of the cochlea.We anesthetized eight adult guinea pigs and accessed the inner ear through the mastoid bulla. After intravenous injection of fluorescein dye, we made a limited cochleostomy and introduced a compound doublet gradient refractive index endoscope probe 1 mm in diameter into the inner ear. We then imaged cochlear blood flow within individual vessels in an epifluorescence configuration using one-photon fluorescence microendoscopy.We observed single red blood cells passing through individual capillaries in several cochlear structures, including the round window membrane, spiral ligament, osseous spiral lamina, and basilar membrane. Blood flow velocities within inner ear capillaries varied widely, with observed speeds reaching up to approximately 500 microm/s.Fluorescence microendoscopy permits visualization of cochlear microcirculation with micron-scale optical resolution and determination of blood flow velocities through analysis of video sequences.
View details for PubMedID 16436982
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Fiber-optic fluorescence imaging
NATURE METHODS
2005; 2 (12): 941-950
Abstract
Optical fibers guide light between separate locations and enable new types of fluorescence imaging. Fiber-optic fluorescence imaging systems include portable handheld microscopes, flexible endoscopes well suited for imaging within hollow tissue cavities and microendoscopes that allow minimally invasive high-resolution imaging deep within tissue. A challenge in the creation of such devices is the design and integration of miniaturized optical and mechanical components. Until recently, fiber-based fluorescence imaging was mainly limited to epifluorescence and scanning confocal modalities. Two new classes of photonic crystal fiber facilitate ultrashort pulse delivery for fiber-optic two-photon fluorescence imaging. An upcoming generation of fluorescence imaging devices will be based on microfabricated device components.
View details for DOI 10.1038/NMETH820
View details for PubMedID 16299479
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Statistical kinetics of macromolecular dynamics
BIOPHYSICAL JOURNAL
2005; 89 (4): 2277-2285
Abstract
Fluctuations in biochemical processes can provide insights into the underlying kinetics beyond what can be gleaned from studies of average rates alone. Historically, analysis of fluctuating transmembrane currents supplied information about ion channel conductance states and lifetimes before single-channel recording techniques emerged. More recently, fluctuation analysis has helped to define mechanochemical pathways and coupling ratios for the motor protein kinesin as well as to probe the contributions of static and dynamic disorder to the kinetics of single enzymes. As growing numbers of assays are developed for enzymatic or folding behaviors of single macromolecules, the range of applications for fluctuation analysis increases. To evaluate specific biochemical models against experimental data, one needs to predict analytically the distribution of times required for completion of each reaction pathway. Unfortunately, using traditional methods, such calculations can be challenging for pathways of even modest complexity. Here, we derive an exact expression for the distribution of completion times for an arbitrary pathway with a finite number of states, using a recursive method to solve algebraically for the appropriate moment-generating function. To facilitate comparisons with experiments on processive motor proteins, we develop a theoretical formalism for the randomness parameter, a dimensionless measure of the variance in motor output. We derive the randomness for motors that take steps of variable sizes or that move on heterogeneous substrates, and then discuss possible applications to enzymes such as RNA polymerase, which transcribes varying DNA sequences, and to myosin V and cytoplasmic dynein, which may advance by variable increments.
View details for DOI 10.1529/biophysj.105.064295
View details for Web of Science ID 000232147600011
View details for PubMedID 16040752
View details for PubMedCentralID PMC1366729
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In vivo brain imaging using a portable 3.9 gram two-photon fluorescence microendoscope
OPTICS LETTERS
2005; 30 (17): 2272-2274
Abstract
We introduce a compact two-photon fluorescence microendoscope based on a compound gradient refractive index endoscope probe, a DC micromotor for remote adjustment of the image plane, and a flexible photonic bandgap fiber for near distortion-free delivery of ultrashort excitation pulses. The imaging head has a mass of only 3.9 g and provides micrometer-scale resolution. We used portable two-photon microendoscopy to visualize hippocampal blood vessels in the brains of live mice.
View details for Web of Science ID 000231436900028
View details for PubMedID 16190441
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Retinal coding of visual scenes - Repetitive and redundant too?
NEURON
2005; 46 (3): 357-359
Abstract
Visual information reaches the brain by way of a fine cable, the optic nerve. The million or so axons in the optic nerve represent an information bottleneck in the visual pathway-where the fewest number of neurons convey the visual scene. It has long been thought that to make the most of the optic nerve's limited capacity the retina may encode visual information in an optimally efficient manner. In this issue of Neuron, Puchalla et al. report a test of this hypothesis using multielectrode recordings from retinal ganglion cells stimulated with movies of natural scenes. The authors find substantial redundancy in the retinal code and estimate that there is an approximately 10-fold overrepresentation of visual information.
View details for DOI 10.1016/j.neuron.2005.04.018
View details for Web of Science ID 000229011400002
View details for PubMedID 15882630
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Fiber optic two-photon fluorescence microendoscopy: Towards brain imaging in freely moving mice
Conference on Lasers and Electro-Optics (CLEO)
OPTICAL SOC AMERICA. 2005: 2233–2235
View details for Web of Science ID 000234819902231
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In vivo mammalian brain Imaging using one- and two-photon fluorescence microendoscopy
JOURNAL OF NEUROPHYSIOLOGY
2004; 92 (5): 3121-3133
Abstract
One of the major limitations in the current set of techniques available to neuroscientists is a dearth of methods for imaging individual cells deep within the brains of live animals. To overcome this limitation, we developed two forms of minimally invasive fluorescence microendoscopy and tested their abilities to image cells in vivo. Both one- and two-photon fluorescence microendoscopy are based on compound gradient refractive index (GRIN) lenses that are 350-1,000 microm in diameter and provide micron-scale resolution. One-photon microendoscopy allows full-frame images to be viewed by eye or with a camera, and is well suited to fast frame-rate imaging. Two-photon microendoscopy is a laser-scanning modality that provides optical sectioning deep within tissue. Using in vivo microendoscopy we acquired video-rate movies of thalamic and CA1 hippocampal red blood cell dynamics and still-frame images of CA1 neurons and dendrites in anesthetized rats and mice. Microendoscopy will help meet the growing demand for in vivo cellular imaging created by the rapid emergence of new synthetic and genetically encoded fluorophores that can be used to label specific brain areas or cell classes.
View details for DOI 10.1152/jn.00234.2004
View details for Web of Science ID 000224475000044
View details for PubMedID 15128753
View details for PubMedCentralID PMC2826362
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Fiber optic in vivo imaging in the mammalian nervous system
CURRENT OPINION IN NEUROBIOLOGY
2004; 14 (5): 617-628
Abstract
The compact size, mechanical flexibility, and growing functionality of optical fiber and fiber optic devices are enabling several new modalities for imaging the mammalian nervous system in vivo. Fluorescence microendoscopy is a minimally invasive fiber modality that provides cellular resolution in deep brain areas. Diffuse optical tomography is a non-invasive modality that uses assemblies of fiber optic emitters and detectors on the cranium for volumetric imaging of brain activation. Optical coherence tomography is a sensitive interferometric imaging technique that can be implemented in a variety of fiber based formats and that might allow intrinsic optical detection of brain activity at a high resolution. Miniaturized fiber optic microscopy permits cellular level imaging in the brains of behaving animals. Together, these modalities will enable new uses of imaging in the intact nervous system for both research and clinical applications.
View details for DOI 10.1016/j.conb.2004.08.017
View details for Web of Science ID 000224721200014
View details for PubMedID 15464896
View details for PubMedCentralID PMC2826357
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Multiphoton endoscopy
OPTICS LETTERS
2003; 28 (11): 902-904
Abstract
Despite widespread use of multiphoton fluorescence microscopy, development of endoscopes for nonlinear optical imaging has been stymied by the degradation of ultrashort excitation pulses that occurs within optical fiber as a result of the combined effects of group-velocity dispersion and self-phase modulation. We introduce microendoscopes (350-1000 microm in diameter) based on gradient-index microlenses that effectively eliminate self-phase modulation within the endoscope. Laser-scanning multiphoton fluorescence endoscopy exhibits micrometer-scale resolution. We used multiphoton endoscopes to image fluorescently labeled neurons and dendrites.
View details for Web of Science ID 000182927700012
View details for PubMedID 12816240
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Multineuronal firing patterns in the signal from eye to brain
NEURON
2003; 37 (3): 499-511
Abstract
Population codes in the brain have generally been characterized by recording responses from one neuron at a time. This approach will miss codes that rely on concerted patterns of action potentials from many cells. Here we analyze visual signaling in populations of ganglion cells recorded from the isolated salamander retina. These neurons tend to fire synchronously far more frequently than expected by chance. We present an efficient algorithm to identify what groups of cells cooperate in this way. Such groups can include up to seven or more neurons and may account for more than 50% of all the spikes recorded from the retina. These firing patterns represent specific messages about the visual stimulus that differ significantly from what one would derive by single-cell analysis.
View details for Web of Science ID 000181081600014
View details for PubMedID 12575956
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Biological computation: Amazing algorithms
NATURE
2002; 416 (6882): 683-683
View details for Web of Science ID 000175033500022
View details for PubMedID 11961533
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Molecular motors - Doing a rotary two-step
NATURE
2001; 410 (6831): 878-?
View details for Web of Science ID 000168152300028
View details for PubMedID 11309597
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Force production by single kinesin motors
NATURE CELL BIOLOGY
2000; 2 (10): 718-723
Abstract
Motor proteins such as kinesin, myosin and polymerase convert chemical energy into work through a cycle that involves nucleotide hydrolysis. Kinetic rates in the cycle that depend upon load identify transitions at which structural changes, such as power strokes or diffusive motions, are likely to occur. Here we show, by modelling data obtained with a molecular force clamp, that kinesin mechanochemistry can be characterized by a mechanism in which a load-dependent isomerization follows ATP binding. This model quantitatively accounts for velocity data over a wide range of loads and ATP levels, and indicates that movement may be accomplished through two sequential 4-nm substeps. Similar considerations account for kinesin processivity, which is found to obey a load-dependent Michaelis-Menten relationship.
View details for Web of Science ID 000089697000017
View details for PubMedID 11025662
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Single kinesin molecules studied with a molecular force clamp
NATURE
1999; 400 (6740): 184-189
Abstract
Kinesin is a two-headed, ATP-driven motor protein that moves processively along microtubules in discrete steps of 8 nm, probably by advancing each of its heads alternately in sequence. Molecular details of how the chemical energy stored in ATP is coupled to mechanical displacement remain obscure. To shed light on this question, a force clamp was constructed, based on a feedback-driven optical trap capable of maintaining constant loads on single kinesin motors. The instrument provides unprecedented resolution of molecular motion and permits mechanochemical studies under controlled external loads. Analysis of records of kinesin motion under variable ATP concentrations and loads revealed several new features. First, kinesin stepping appears to be tightly coupled to ATP hydrolysis over a wide range of forces, with a single hydrolysis per 8-nm mechanical advance. Second, the kinesin stall force depends on the ATP concentration. Third, increased loads reduce the maximum velocity as expected, but also raise the apparent Michaelis-Menten constant. The kinesin cycle therefore contains at least one load-dependent transition affecting the rate at which ATP molecules bind and subsequently commit to hydrolysis. It is likely that at least one other load-dependent rate exists, affecting turnover number. Together, these findings will necessitate revisions to our understanding of how kinesin motors function.
View details for Web of Science ID 000081324900059
View details for PubMedID 10408448
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Force and velocity measured for single molecules of RNA polymerase
SCIENCE
1998; 282 (5390): 902-907
Abstract
RNA polymerase (RNAP) moves along DNA while carrying out transcription, acting as a molecular motor. Transcriptional velocities for single molecules of Escherichia coli RNAP were measured as progressively larger forces were applied by a feedback-controlled optical trap. The shapes of RNAP force-velocity curves are distinct from those of the motor enzymes myosin or kinesin, and indicate that biochemical steps limiting transcription rates at low loads do not generate movement. Modeling the data suggests that high loads may halt RNAP by promoting a structural change which moves all or part of the enzyme backwards through a comparatively large distance, corresponding to 5 to 10 base pairs. This contrasts with previous models that assumed force acts directly upon a single-base translocation step.
View details for Web of Science ID 000076727300038
View details for PubMedID 9794753
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Kinesin hydrolyses one ATP per 8-nm step
NATURE
1997; 388 (6640): 386-390
Abstract
Kinesin is a two-headed, ATP-dependent motor protein that moves along microtubules in discrete steps of 8 nm. In vitro, single molecules produce processive movement; motors typically take approximately 100 steps before releasing from a microtubule. A central question relates to mechanochemical coupling in this enzyme: how many molecules of ATP are consumed per step? For the actomyosin system, experimental approaches to this issue have generated considerable controversy. Here we take advantage of the processivity of kinesin to determine the coupling ratio without recourse to direct measurements of ATPase activity, which are subject to large experimental uncertainties. Beads carrying single molecules of kinesin moving on microtubules were tracked with high spatial and temporal resolution by interferometry. Statistical analysis of the intervals between steps at limiting ATP, and studies of fluctuations in motor speed as a function of ATP concentration, allow the coupling ratio to be determined. At near-zero load, kinesin molecules hydrolyse a single ATP molecule per 8-nm advance. This finding excludes various one-to-many and many-to-one coupling schemes, analogous to those advanced for myosin, and places severe constraints on models for movement.
View details for Web of Science ID A1997XM52800053
View details for PubMedID 9237757
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Statistical kinetics of processive enzymes
Cold Spring Harbor Symposia on Quantitative Biology - Protein Kinesis: The Dynamics of Protein Trafficking and Stability
COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT. 1995: 793–802
View details for Web of Science ID A1995VA12500084
View details for PubMedID 8824454
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Theory of continuum random walks and application to chemotaxis.
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
1993; 48 (4): 2553-2568
View details for PubMedID 9960890