The Anderson Laboratory focuses on the computational modeling of epilepsy as a method to understand the time and spatial evolutionary properties of seizures. Modeling methods include large array single compartment models and multicompartment simulations for the extraction of electrophysiological observables. Using these modeling tools, we explore how fast seizures spread, the spatial extent of spread, the spread of interictal spikes, and the introduction of therapies such as drug diffusion and electrical stimulation. The laboratory also explores the effects on memory encoding of theta phase specific stimulation during working memory tasks. Recordings derived from deep brain stimulation procedures are also used to learn more about motor imagery and motor planning.
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Anderson WS, Kudela P, Cho RJ, Bergey GK, Franaszczuk P. Studies of stimulus parameters for seizure disruption using neural network simulations. Biol Cybern 2007;97:173-194
Anderson WS, Azhar F, Kudela P, Bergey GK, Franaszczuk PJ. Epileptic seizures from abnormal networks: Why some seizures defy predictability. Epi Res 2012;99(3):202-213
Anderson WS, Kudela P, Weinberg S, Bergey GK, Franaszczuk PJ. Phase-dependent stimulation effects on bursting activity in a neural network cortical simulation. Epi Res 2009;84:42-55
Azhar F, Anderson WS. Prediction of single neuron spikes in sensorimotor cortex may reflect generic properties of locally connected networks. Neural Comp: 2012;24(10):2655-2677
Kudela P, Anderson WS. Computational modeling of subdural cortical stimulation: A quantitative spatiotemporal analysis of action potential initiation in a high density multicompartment model. Neuromod: Tech Neural Interface: 2015;doi: 10.1111/ner.12327