Engineering; Epilepsy; Mathematics
The research efforts of the Computational Neurophysiology Laboratory (CNL) broadly involve functional neurosurgery, critical care and cognitive neuroscience. A major focus of our research is medically intractable epilepsy. In our work on medically intractable epilepsy we seek to:
- understand how seizures are generated,
- improve neurotechnology for monitoring, analyzing and controlling aberrant brain activity,
- employ our knowledge of seizure generation and the sensing, analysis and interventional technology we have developed in patients with partial epilepsy to: (1) accurately locate the seizure onset area, and (2) detect and predict the onset of seizures and intervene to terminate or abort seizures once they have been detected or predicted.
Extensive Research Description
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 in the right column of 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
- Dominique Duncan, Robert B. Duckrow, Steven M. Pincus, Irina Goncharova, Lawrence J. Hirsch, Dennis D. Spencer, Ronald R. Coifman, Hitten P. Zaveri, Intracranial EEG evaluation of relationship within a resting state network, Clinical Neurophysiology, 2013.
- Dominique Duncan, Ronen Talmon, Hitten P Zaveri, Ronald R Coifman, Identifying preseizure state in intracranial EEG data using diffusion kernels. Mathematical Biosciences and Engineering, 2013.
- Daniel J. Kanak, Gregory M. Rose, Hitten P. Zaveri, Peter R. Patrylo, Altered network timing in the CA3-CA1 circuit of hippocampal slices from aged mice, PLoS One, 2013.
- Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics, Editors: Osorio I, Zaveri HP, Frei MG, Arthurs S, CRC Press, 2011