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Welcome to the Netoff Epilepsy Lab


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.


May 7, 2102 -- Abbey's paper titled "Computational Modeling of Epilepsy for an Experimental Neurologist" has been accepted to Experimental Neurology

January 3, 2012 -- Phase Response Curves in Neuroscience book is published

December 1, 2011 -- Bryce's paper titled "Dynamical changes in neurons during seizures determine tonic to clonic shift", has been published in Journal of Computational Neuroscience.

October 14, 2011 -- Yun's paper on seizure prediction is on the cover of the October issue of Epilepsia

October 7, 2011 -- Paper in collaboration with John Ferguson, and David Redish on nanoelectrode intracellular recordings from mammals has been acepted

August 9, 2011 -- Abbey Holt, Graduate student in Neuroscience, has joined the Netoff lab

July 22, 2011 -- Liqiong Zhao, Bryce Beverlin II, Theoden Netoff and Duane Quinn Nykamp, "Synchronization from second order network connectivity statistics" in Frontiers in Computational Neuroscience is listed in PubMed

July 12, 2011 -- We have produced our first video presenations, the first is of our Seizure Prediction paper in Epilepsia. See it on our Publications page"

July 5, 2011 -- Hui Wang, Adam J. Black, Junfeng Zhu, Tyler W. Stigen, Theoden I. Netoff, Aviva Abosch, Taner Akkin. "Reconstructing micrometer-scale fiber pathways in the brain: multi-contrast optical coherence tomography based tractography." Accepted for publication in Neuroimaging.

June 24, 2011 -- Charlie Wilson, Bryce and Tay's paper, "Chaotic desynchronization as the therapeutic mechanism of deep brain stimulation" was accepted to Frontiers in Systems Neuroscience. See it in the News

June 28, 2011 -- Yun's paper, "Seizure prediction with spectral power of EEG using cost-sensitive support vector machines." published in Epilepsia.

May 10, 2011 -- Tyler's paper, "Controlling Spike Timing and Synchrony in Oscillatory Neurons" published in Journal of Neurophysiology.

Jan 5, 2011 -- Bryce's paper, "The variance of phase-resetting curves" was published in the Journal of Computational Neuroscience.

Oct 26, 2010 -- Oscar's paper, "Firing rate control of a neuron using a linear proportional-integral controller" was published in the Journal of Neural Engineering.

July 4, 2009 -- Tyler was awarded a one-year NIH training fellowship in the neurobiology of disease by the Translational Research in the Neurobiology of Disease group at the U of M.

Research Highlights

Related Links

Department of Biomedical Engineering

Center for Neuroengineering

Institute for Translational Neuroscience

College of Science and Engineering