Neurosurgery
Showing 21-40 of 95 Results
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Moustafa Elattar
Visiting Instructor,
BioDr. Moustafa Elattar is a Visiting Instructor at Stanford University’s Neuro-Oncology Laboratory. Originally from Egypt, he earned his M.B.B.Ch. with honors from Benha Faculty of Medicine, Benha University. Dr. Elattar has a strong background in clinical research, biostatistical analysis, and evidence-based medicine. His work at Stanford focuses on high-impact projects in Stereotactic Radiosurgery (SRS), exploring clinical outcomes, indications, and treatment-related effects in neurosurgical diseases such as meningiomas, vestibular schwannomas, paragangliomas, and arteriovenous malformations.
Beyond his current research, Dr. Elattar is passionate about integrating clinical insight with data-driven methodologies to advance neuro-oncology and improve patient outcomes. -
Kamran Hussain
Casual - Non-Exempt, Neurosurgery
BioResearching speech neuroprosthetics at the Neuroprosthetics Translational Lab. Research interests include brain-computer interfacing, neuroprosthetics, computational systems neuroscience, and bio-inspired artificial intelligence.
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Siddhartha Joshi, PhD
Senior Research Scientist, Neurosurgery
BioI am a neuroscientist with over 20 years of experience in empirical, hypothesis-driven research. My knowledge and expertise cover a wide range of topics and methods within systems neuroscience including sensory perception, neurophysiology and neuroanatomy, eye-movements and pupillometry. My research is focused on how the brain represents and uses sensory information to drive goal-directed behaviors and in exploring how intrinsic neuromodulatory systems influence the neural circuits that drive such behaviors. At Stanford, I am looking to channel my experience towards studying human neural signals that underlie computations governing pain and attention.
My work thus far [1-4] supports the idea that there is a need for simultaneous measurements of behavior, brain state and large-scale cortical activity to understand how the brain’s circuits: (i) are modulated by ascending sympathetic activation and (ii) provide top-down control of descending sympathetic control. These are technically challenging experiments [3,4] that have thus far largely been explored in animal models. My current goal is to leverage opportunities to directly measure human brain activity via electrodes implanted for monitoring epilepsy. Towards this end, I will use state-of-the-art neurophysiological, behavioral, pupillometric techniques combined with quantitative analyses.
Representative publications:
1. Joshi S, Gold JI (2020) Pupil Size as a Window on Neural Substrates of Cognition. Trends in Cognitive Sciences 24(6), 466-480. PMCID: PMC7271902.
2. Joshi S (2024). Control of Pupil Responses. Encyclopedia of the Human Brain (Elsevier), Second Edition, Vol.1, 374-387.
3. Joshi S, Li, Y, Kalwani R, Gold JI (2016). Relationships between pupil diameter and neuronal activity in the locus coeruleus, colliculi and cingulate cortex. Neuron 89:221-234. PMCID: PMC4707070.
4. Joshi S, Gold JI (2022) Context-Dependent Relationships between Locus Coeruleus Firing Patterns and Coordinated Neural Activity in the Anterior Cingulate Cortex. eLife 11:e63490. PMCID: PMC8765756. -
Neda Kaboodvand
Basic Life Research Scientist, Neurosurgery
Current Role at StanfordApplied Scientist (Human Behavior & ML)
Neda Kaboodvand, PhD, is an Applied Scientist at Stanford University School of Medicine whose work focuses on modeling human behavior and improving system performance using data. She designs and leads human-subject studies and develops machine learning and computational modelling approaches to understand decision-making, evaluate interventions, and enable adaptive, personalized systems. Her work integrates behavioral and multimodal physiological data to support data-driven solutions in complex, real-world settings.