Patrycja Dzialecka

All Publications

• Temporal Interference Stimulation Enhances Neural Regeneration ADVANCED SCIENCE Peressott, S., Garcia Garrido, M., Dzialecka, P., Hoi Law, R., Portillo-Lara, R., Geary, B., Faillace, E., Merlo-Nikpay Aslie, S., Wojewska, M., Otero-Jimenez, M., Genta, M., Tan, L., Duff, K., Alegre-Abarrategui, J., Green, R., Grossmann, N. 2026: e24341

  Abstract

  Neural regeneration therapies aim to treat neurodegeneration by promoting the proliferation and maturation of exogenous or endogenous neural progenitor cells (NPCs). However, their efficacy has been limited. Deep brain stimulation (DBS) via implanted electrodes has been shown to promote neurogenesis in vitro and in vivo. Still, its invasiveness precludes deployment in research and widespread clinical use. Temporal interference (TI) has emerged as a strategy for non-invasive, high-precision DBS using multiple kHz-range electric fields to target the deep brain. Here, we validate the potential of TI stimulation for neural regeneration augmentation in the central nervous system (CNS). First, we showed that TI stimulation modulated at the theta-band frequency enhances the maturation of embryonic neural progenitor cells in vitro. We then demonstrate that theta-band TI stimulation targeting the hippocampus enhances endogenous hippocampal neurogenesis in an in vivo mouse model of Alzheimer's disease-like amyloidosis. By uncovering frequency-specific control of stem cell fate, we propose a clinically relevant regeneration strategy that avoids pharmacological or genetic manipulation. Our results enable focal, non-invasive augmentation of deep-brain neural regeneration via electrical stimulation.

  View details for DOI 10.1002/advs.202524341

  View details for Web of Science ID 001752207000001

  View details for PubMedID 42047177

• In vivo acoustoelectric neural recording in mice enabled by ultrasound-induced frequency mixing COMMUNICATIONS ENGINEERING Rintoul, J. L., Howard, J., Dzialecka, P., Zhu, X., Grossman, N. 2026; 5 (1): 37

  Abstract

  There is a long-standing need in neuroscience for non-invasive methods that can record neural electrical activity with focal precision to diagnose brain disorders and interrogate circuit function. Here, we introduce acoustoelectric neural recording, which exploits ultrasound-induced frequency mixing to recover electrophysiological signals in vivo. Building on recent insights into the acoustoelectric interaction, we extend earlier work in cardiac tissue to demonstrate neural signal recovery in a living mouse brain. At the ultrasound focus, neural activity is shifted to frequencies near the acoustic carrier and can be retrieved by amplitude demodulation analogous to radio transmission. We further show that acoustoelectric neural recording is robust to artefacts and permits single-trial electrophysiological measurements. These results establish a pathway toward a real-time, portable, and non-invasive neural recording modality with the spatial precision of ultrasound.

  View details for DOI 10.1038/s44172-026-00598-4

  View details for Web of Science ID 001695023700001

  View details for PubMedID 41667713

  View details for PubMedCentralID PMC12920806

• A real-time all-optical interface for dynamic perturbation of neural activity during behavior. Cell reports methods Zhang, Z., Dzialecka, P., Russell, L. E., Ratto, R., Buetfering, C., Gauld, O. M., Selviah, D. R., Häusser, M. 2025: 101180

  Abstract

  We developed a strategy for implementing a dream experiment in systems neuroscience, where circuit manipulation is guided by the real-time readout of neural activity in behaving mice. The system integrates a state-of-the-art calcium imaging analysis package that achieves rapid online activity readout from two-photon calcium imaging, a custom hologram generation program that targets two-photon optogenetic stimulation of specific neuronal ensembles, and software modules that automate essential steps in running complex all-optical experiments. Proof-of-principle experiments demonstrate that neurons can be automatically detected and recruited into a photostimulation ensemble, closed-loop photoinhibition can be implemented immediately after fast mapping of the functional properties of cortical neurons, and targeted activation can be guided by readout of ongoing activity patterns in behaviorally relevant neuronal ensembles during decision-making.

  View details for DOI 10.1016/j.crmeth.2025.101180

  View details for PubMedID 40972568

• Pulse-width modulated temporal interference (PWM-TI) brain stimulation. Brain stimulation Luff, C. E., Dzialecka, P., Acerbo, E., Williamson, A., Grossman, N. 2024; 17 (1): 92-103

  Abstract

  Electrical stimulation involving temporal interference of two different kHz frequency sinusoidal electric fields (temporal interference (TI)) enables non-invasive deep brain stimulation, by creating an electric field that is amplitude modulated at the slow difference frequency (within the neural range), at the target brain region.Here, we investigate temporal interference neural stimulation using square, rather than sinusoidal, electric fields that create an electric field that is pulse-width, but not amplitude, modulated at the difference frequency (pulse-width modulated temporal interference, (PWM-TI)).We show, using ex-vivo single-cell recordings and in-vivo calcium imaging, that PWM-TI effectively stimulates neural activity at the difference frequency at a similar efficiency to traditional TI. We then demonstrate, using computational modelling, that the PWM stimulation waveform induces amplitude-modulated membrane potential depolarization due to the membrane's intrinsic low-pass filtering property.PWM-TI can effectively drive neural activity at the difference frequency. The PWM-TI mechanism involves converting an envelope amplitude-fixed PWM field to an amplitude-modulated membrane potential via the low-pass filtering of the passive neural membrane. Unveiling the biophysics underpinning the neural response to complex electric fields may facilitate the development of new brain stimulation strategies with improved precision and efficiency.

  View details for DOI 10.1016/j.brs.2023.12.010

  View details for PubMedID 38145754

• Noninvasive theta-burst stimulation of the human striatum enhances striatal activity and motor skill learning. Nature neuroscience Wessel, M. J., Beanato, E., Popa, T., Windel, F., Vassiliadis, P., Menoud, P., Beliaeva, V., Violante, I. R., Abderrahmane, H., Dzialecka, P., Park, C. H., Maceira-Elvira, P., Morishita, T., Cassara, A. M., Steiner, M., Grossman, N., Neufeld, E., Hummel, F. C. 2023; 26 (11): 2005-2016

  Abstract

  The stimulation of deep brain structures has thus far only been possible with invasive methods. Transcranial electrical temporal interference stimulation (tTIS) is a novel, noninvasive technology that might overcome this limitation. The initial proof-of-concept was obtained through modeling, physics experiments and rodent models. Here we show successful noninvasive neuromodulation of the striatum via tTIS in humans using computational modeling, functional magnetic resonance imaging studies and behavioral evaluations. Theta-burst patterned striatal tTIS increased activity in the striatum and associated motor network. Furthermore, striatal tTIS enhanced motor performance, especially in healthy older participants as they have lower natural learning skills than younger subjects. These findings place tTIS as an exciting new method to target deep brain structures in humans noninvasively, thus enhancing our understanding of their functional role. Moreover, our results lay the groundwork for innovative, noninvasive treatment strategies for brain disorders in which deep striatal structures play key pathophysiological roles.

  View details for DOI 10.1038/s41593-023-01457-7

  View details for PubMedID 37857774

  View details for PubMedCentralID PMC10620076

• Focal non-invasive deep-brain stimulation with temporal interference for the suppression of epileptic biomarkers. Frontiers in neuroscience Acerbo, E., Jegou, A., Luff, C., Dzialecka, P., Botzanowski, B., Missey, F., Ngom, I., Lagarde, S., Bartolomei, F., Cassara, A., Neufeld, E., Jirsa, V., Carron, R., Grossman, N., Williamson, A. 2022; 16: 945221

  Abstract

  Neurostimulation applied from deep brain stimulation (DBS) electrodes is an effective therapeutic intervention in patients suffering from intractable drug-resistant epilepsy when resective surgery is contraindicated or failed. Inhibitory DBS to suppress seizures and associated epileptogenic biomarkers could be performed with high-frequency stimulation (HFS), typically between 100 and 165 Hz, to various deep-seated targets, such as the Mesio-temporal lobe (MTL), which leads to changes in brain rhythms, specifically in the hippocampus. The most prominent alterations concern high-frequency oscillations (HFOs), namely an increase in ripples, a reduction in pathological Fast Ripples (FRs), and a decrease in pathological interictal epileptiform discharges (IEDs).In the current study, we use Temporal Interference (TI) stimulation to provide a non-invasive DBS (130 Hz) of the MTL, specifically the hippocampus, in both mouse models of epilepsy, and scale the method using human cadavers to demonstrate the potential efficacy in human patients. Simulations for both mice and human heads were performed to calculate the best coordinates to reach the hippocampus.This non-invasive DBS increases physiological ripples, and decreases the number of FRs and IEDs in a mouse model of epilepsy. Similarly, we show the inability of 130 Hz transcranial current stimulation (TCS) to achieve similar results. We therefore further demonstrate the translatability to human subjects via measurements of the TI stimulation vs. TCS in human cadavers. Results show a better penetration of TI fields into the human hippocampus as compared with TCS.These results constitute the first proof of the feasibility and efficiency of TI to stimulate at depth an area without impacting the surrounding tissue. The data tend to show the sufficiently focal character of the induced effects and suggest promising therapeutic applications in epilepsy.

  View details for DOI 10.3389/fnins.2022.945221

  View details for PubMedID 36061593

  View details for PubMedCentralID PMC9431367

• Unsupervised coadaptation of an assistive interface to facilitate sensorimotor learning of redundant control De Santis, D., Dzialecka, P., Mussa-Ivaldi, F. A., IEEE IEEE. 2018: 801-806

  View details for Web of Science ID 000852956200129