1. Realistic Modeling of Entorhinal Cortex Field Potentials and Interpretation of Epileptic Activity in the Guinea Pig Isolated Brain Preparation
- Author
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Fabrice Wendling, E. Labyt, Laura Uva, M. De Curtis, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department Experimental Neurophysiology, Istituto Nazionale Neurologico C. Besta, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Wendling, Fabrice
- Subjects
Physiology ,Action Potentials ,MESH: GABA Antagonists ,GABA Antagonists ,0302 clinical medicine ,[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing ,MESH: Animals ,MESH: Models, Theoretical ,MESH: Receptors, GABA-B ,MESH: Receptors, GABA-A ,MESH: Action Potentials ,0303 health sciences ,MESH: Electrophysiology ,General Neuroscience ,Isolated brain ,MESH: Interneurons ,MESH: Entorhinal Cortex ,Electrophysiology ,field potential ,computational model ,MESH: Epilepsy ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,Psychology ,[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ,[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing ,Guinea Pigs ,Bicuculline ,Article ,MESH: Guinea Pigs ,Guinea pig ,03 medical and health sciences ,MESH: Bicuculline ,MESH: Computer Simulation ,Interneurons ,MESH: Synaptic Transmission ,Animals ,synaptic transmission ,Computer Simulation ,[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing ,030304 developmental biology ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,entorhinal cortex ,[SCCO.NEUR]Cognitive science/Neuroscience ,[SCCO.NEUR] Cognitive science/Neuroscience ,Models, Theoretical ,Receptors, GABA-A ,Entorhinal cortex ,Epileptic activity ,nervous system ,Receptors, GABA-B ,epilepsy ,Neuroscience ,030217 neurology & neurosurgery - Abstract
Mechanisms underlying epileptic activities recorded from entorhinal cortex (EC) were studied through a computational model based on review of cytoarchitectonic and neurobiological data about this structure. The purpose of this study is to describe and use this model to interpret epileptiform discharge patterns recorded in an experimental model of ictogenesis (guinea pig isolated brain perfused with bicuculline). A macroscopic modeling approach representing synaptic interactions between cells subpopulations in the EC was chosen for its adequacy to mimic field potentials reflecting overall dynamics rising from interconnected cells populations. Therefore intrinsic properties of neurons were not included in the modeling design. Model parameters were adjusted from an identification procedure based on quantitative comparison between real and simulated signals. For both EC deep and superficial layers, results show that the model generates very realistic signals regarding temporal dynamics, spectral features, and cross-correlation values. These simulations allowed us to infer information about the evolution of synaptic transmission between principal cell and interneuronal populations and about connectivity between deep and superficial layers during the transition from background to ictal activity. In the model, this transition was obtained for increased excitation in deep versus superficial layers. Transitions between epileptiform activities [interictal spikes, fast onset activity (25 Hz), ictal bursting activity] were explained by changes of parameters mainly related to GABAergic interactions. Notably, the model predicted an important role of GABAa,fast- and GABAb-receptor–mediated inhibition in the generation of ictal fast onset and burst activities, respectively. These findings are discussed with respect to experimental data.
- Published
- 2006
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