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Our research laboratory focuses on understanding the basic neuroscience underlying epilepsy and developing new ways to treat epilepsy. The human brain is one of the complicated and elegant structures in the natural world. Using mathematic analysis we can simplify the non-linear and high order activity of the brain into meaningful and more easily understood data. Using the mathematical models we develop, we can predict how new drugs will affect brain activity or how deep brain stimulation will alter synchrony in networks. Our goal is develop new, innovative ways to predict, treat, and terminate seizures to improve patient care.
The goal of the NeuralNetoff lab is to better understand how seizures are generated and how they propagate through the brain. We are particularly interested in how inhibitory neurons play a role in seizure activity. Much epilepsy research has focused on the excitatory cells because the large amount of activation of neurons during a seizure. Our research leads us to believe that inhibitory cells may play a significant role in the onset of seizures.
January 6, 2016 -- Jenny's paper title "Integrating Insults: Using Fault Tree analysis to guide Schizophtrenia Research across Levels of Analysis" has been accepted and published in Frontiers in Human Neuroscience!
June 3, 2015 -- Vivek's paper title "Future of seizure prediction and intervention: closing the loop." has been accepted and published in J. Clinical Neurophysiology!
August 7, 2014 -- Abbey's paper titled "Origins and suppression of oscillations in a computational model of Parkinson's disease" has been accepted and published to J. Comp Neuroscience!
May 7, 2012 -- Abbey's paper titled "Computational Modeling of Epilepsy for an Experimental Neurologist" has been accepted and published to Experimental Neurology
January 3, 2012 -- Phase Response Curves in Neuroscience book is published