A5016875112- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
- Anesthesia and Sedative Agents
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Advanced Memory and Neural Computing
- Anesthesia and Neurotoxicity Research
- Nonlinear Dynamics and Pattern Formation
- Neural Networks and Applications
- Obsessive-Compulsive Spectrum Disorders
- Chaos control and synchronization
- Child Nutrition and Feeding Issues
- Cell Image Analysis Techniques
- Long-Term Effects of COVID-19
- Infectious Encephalopathies and Encephalitis
- Mental Health Research Topics
- Sleep and related disorders
- Olfactory and Sensory Function Studies
- Time Series Analysis and Forecasting
University of California, San Francisco
2018-2025
Neurological Surgery
2018-2025
University of California, Berkeley
2019
University of North Carolina at Chapel Hill
2013-2018
University of North Carolina Health Care
2013
Transcranial direct current stimulation (tDCS) has emerged as a potentially safe and effective brain modality that alters cortical excitability by passing small, constant electric through the scalp. tDCS creates an field weakly modulates membrane voltage of large number neurons. Recent human studies have suggested sine-wave waveforms [transcranial alternating (tACS)] represent more targeted paradigm for enhancement oscillations. Yet, underlying mechanisms how periodic, weak global...
Abstract Understanding the neural basis of speech perception requires that we study human brain both at scale fundamental computational unit neurons and in their organization across depth cortex. Here used high-density Neuropixels arrays 1–3 to record from 685 cortical layers nine sites a high-level auditory region is critical for speech, superior temporal gyrus 4,5 , while participants listened spoken sentences. Single encoded wide range sound cues, including features consonants vowels,...
During general anesthesia, global brain activity and behavioral state are profoundly altered. Yet it remains mostly unknown how anesthetics alter sensory processing across cortical layers modulate functional cortico-cortical connectivity. To address this gap in knowledge of the micro- mesoscale effects on microcircuit, we recorded multiunit local field potential awake anesthetized ferrets ( Mustela putoris furo) during stimulation. understand a primary area representation input higher-order...
Anesthesia is widely used in medicine and research to achieve altered states of consciousness cognition. Whereas changes macroscopic cortical activity patterns by anesthesia measured at the spatial resolution electroencephalography have been studied, modulation mesoscopic microscopic network dynamics remain poorly understood. To address this gap knowledge, we recorded spontaneous (local field potential) (multiunit activity) primary visual cortex (V1) prefrontal (PFC) awake isoflurane...
The disruption of coupling between brain areas has been suggested as the mechanism underlying loss consciousness in anesthesia. This hypothesis tested previously by measuring information transfer areas, and taking reduced a proxy for decoupling. Yet, is function amount available source-such that decreases even unchanged when less source available. Therefore, we asked whether impaired local processing leads to transfer. An important prediction this alternative changes locally (signal entropy)...
Abstract The hippocampus is diversely interconnected with other brain systems along its axis. Cycles of theta-frequency activity are believed to propagate from the septal temporal pole, yet it unclear how this one-way route supports flexible cognitive capacities structure. We leveraged novel thin-film microgrid arrays conformed human hippocampal surface track neural two-dimensionally in vivo. All oscillation frequencies identified between 1–15 Hz propagated across tissue. Moreover, they...
Abstract Deep brain stimulation has been used to treat severe, refractory obsessive-compulsive disorder (OCD) with variable outcomes across multiple anatomical targets. To overcome these limitations, we developed an invasive mapping paradigm in which electrodes were implanted the OCD cortico-striato-thalamo-cortical circuit a single individual. We then performed extensive during multi-day inpatient stay identify personalized therapeutic targets and characterize their downstream effects....
Sustained attention requires the coordination of neural activity across multiple cortical areas in frontoparietal network, particular prefrontal cortex (PFC) and posterior parietal (PPC). Previous work has demonstrated that these brain regions is coordinated by neuronal oscillations local field potential (LFP). However, underlying terms organization single unit (SU) spiking remained poorly understood, particularly freely moving animal. We found long-range functional connectivity between...
Closed-loop neurostimulation is a promising therapy being tested and clinically implemented in growing number of neurological psychiatric indications. This enabled by chronically implanted, bidirectional devices including the Medtronic Summit RC+S system. In order to successfully optimize for patients implanted with these devices, analyses must be conducted offline on recorded neural data, inform optimal sense stimulation parameters. The file format, volume, complexity raw data from...
Abstract Visual discrimination requires sensory processing followed by a perceptual decision. Despite growing understanding of visual areas in this behavior, it is unclear what role top-down signals from prefrontal cortex play, particular as function difficulty. To address gap, we investigated how neurons dorso-lateral frontal (dl-FC) freely-moving ferrets encode task variables two-alternative forced choice with high- and low-contrast input. About two-thirds all recorded dl-FC were modulated...
Recurrent temporal dynamics is a phenomenon observed frequently in high-dimensional complex systems and its detection challenging task. Recurrence quantification analysis utilizing recurrence plots may extract such dynamics, however it still encounters an unsolved pertinent problem: the optimal selection of distance thresholds for estimating structure dynamical systems. The present work proposes stochastic Markov model recurrent that allows analytical derivation criterion threshold. goodness...
Deep brain stimulation (DBS) is a plausible therapy for various neuropsychiatric disorders, though continuous tonic without regard to underlying physiology (open-loop) has had variable success. Recently available DBS devices can sense neural signals which, in turn, be used control closed-loop mode. Closed-loop strategies may mitigate many drawbacks of open-loop and provide more personalized therapy. These contain adjustable parameters that how the system operates, which need optimized using...
Deep brain stimulation involves the administration of electrical to targeted regions for therapeutic benefit. In context major depressive disorder (MDD), most studies date have administered continuous or open-loop with promising but mixed results. One factor contributing these results may stem from when is applied. Stimulation specific high-symptom states in a personalized and responsive manner be more effective at reducing symptoms compared avoid diminished effects related habituation....