Hitten Zaveri, PhD
Cards
About
Titles
Associate Professor of Neurology
Biography
Dr. Zaveri has received academic training in electrical engineering (B.S.E, M.S.E), computer engineering (B.S.E) and biomedical engineering (M.S., Ph.D.) from the University of Michigan in Ann Arbor and epilepsy and neurology (post-doctoral studies) from Yale University. He is the director of the Computational Neurophysiology Laboratory at Yale University. His research interests lie at the intersection of neuroscience, engineering and mathematics.
Appointments
Neurology
Associate Professor on TermPrimary
Other Departments & Organizations
- Center for Brain & Mind Health
- Epilepsy & Seizures
- Neuro Intensive Care & Neurological Emergencies
- Neurology
- Yale Clinical Neuroscience Group for Neuroanalytics
Education & Training
- Postdoctoral Associate
- Yale University (1997)
- PhD
- University of Michigan, Bioengineering (1993)
- MSEE
- University of Michigan, Bioengineering (1987)
- MSEE
- University of Michigan, Electrical Engineering (1987)
- BSEE
- University of Michigan, Computer Engineering (1983)
- BSEE
- University of Michigan, Electrical Engineering (1982)
Research
Overview
There are two aspects to our work on epilepsy. First, we seek to understand, through experiments and analysis, how seizures the seemingly random disruption of brain function, are generated and how they spread through the brain. Second, we are developing brain implantable devices to sense, analyze and control aberrant brain activity. These devices include a wireless, battery-free, multimodal intracranial sensor to continuously monitor brain neurochemistry and electrophysiology (see the image on this page) and devices to detect and predict the onset of a seizure and intervene to terminate a seizure once it has been detected or predicted. Further information on our research can be found in our publications. A few, recent, publications are listed below. A comprehensive listing of our publications can be found on the Yale CNL website.
- Understand how seizures are generated
- Develop implantable multimodal sensors for direct brain sensing
- Accurately locate the seizure onset area
- Detect and predict the onset of seizures in real-time
- Develop interventional methods to terminate or abort seizures
Medical Subject Headings (MeSH)
Academic Achievements and Community Involvement
Links & Media
Media
Fig1
Brain implantable 64 channel battery-free device for wireless measurement of cortical and subcortical activity and electrical stimulation developed in collaboration with ITN Energy Systems.
News
- December 18, 2022
Yale Insights in Cardiovascular Medicine: 2022
- March 30, 2022Source: YaleNews
Wu Tsai Institute Postdocs Bridge Disciplines in the Study of Cognition
- January 18, 2022Source: Yale News/Yale Engineering Magazine)
Less Wattage, More Brain Power
- December 17, 2020Source: Scientific American
Forecasts of Epilepsy Seizures Could Become a Reality