Title :
Modeling of Entorhinal Cortex and Simulation of Epileptic Activity: Insights Into the Role of Inhibition-Related Parameters
Author :
Labyt, Etienne ; Frogerais, Paul ; Uva, Laura ; Bellanger, Jean-Jacques ; Wendling, Fabrice
Author_Institution :
Univ. of Rennes 1, Rennes
fDate :
7/1/2007 12:00:00 AM
Abstract :
This paper describes a macroscopic neurophysiologically relevant model of the entorhinal cortex (EC), a brain structure largely involved in human mesio-temporal lobe epilepsy. This model is intervalidated in the experimental framework of ictogenesis animal model (isolated guinea-pig brain perfused with bicuculline). Using sensitivity and stability analysis, an investigation of model parameters related to GABA neurotransmission (recognized to be involved in epileptic activity generation) was performed. Based on spectral and statistical features, simulated signals generated from the model for multiple GABAergic inhibition-related parameter values were classified into eight classes of activity. Simulated activities showed striking agreement (in terms of realism) with typical epileptic activities identified in field potential recordings performed in the experimental model. From this combined computational/experimental approach, hypotheses are suggested about the role of different types of GABAergic neurotransmission in the generation of epileptic activities in EC.
Keywords :
biochemistry; brain; cellular biophysics; electroencephalography; molecular biophysics; neurophysiology; organic compounds; physiological models; GABA neurotransmission; GABAergic inhibition-related parameters; bicuculline; brain structure; entorhinal cortex modeling; epileptic activity generation; epileptic activity simulation; field potential recordings; human mesio-temporal lobe epilepsy; ictogenesis animal model; isolated guinea-pig brain perfusion; macroscopic neurophysiological model; sensitivity analysis; stability analysis; Animal structures; Brain modeling; Computational modeling; Electrodes; Epilepsy; Humans; Neurotransmitters; Parameter estimation; Signal generators; Stability analysis; Computational model; entorhinal cortex (EC); epilepsy; experimental model; neuronal population; parameter identification; Animals; Computer Simulation; Entorhinal Cortex; Epilepsy, Temporal Lobe; Guinea Pigs; Models, Neurological; Nerve Net; Neural Inhibition; Synaptic Transmission;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2006.889680