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Mechanisms of propagation of epileptiform activity in a large-scale cortical model

Grant number: 13/25667-8
Support type:Scholarships in Brazil - Doctorate (Direct)
Effective date (Start): April 01, 2014
Effective date (End): December 31, 2018
Field of knowledge:Engineering - Biomedical Engineering
Principal Investigator:Antonio Carlos Roque da Silva Filho
Grantee:Rodrigo Felipe de Oliveira Pena
Home Institution: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
Associated research grant:11/50151-0 - Dynamical phenomena in complex networks: fundamentals and applications, AP.TEM
Associated scholarship(s):15/09916-3 - Analysis of the dynamics of cortical models with heterogeneous cell populations, BE.EP.DD


The objective of this project is to construct a computational model of the cerebral cortex to simulate the generation and propagation of epileptiform and study the mechanisms responsible for these phenomena with use of dynamical systems tools. The model will incorporate details in microscopic scale, describing neurons of different electrophysiological behavior and the synaptic couplings among them in a local circuit (module), and in macroscopic scale, describing a modular interconnected network that constitutes the large scale structure of the cortex. Each module will be made of excitatory and inhibitory neurons connected according to experimental evidences on mammalian cortical microcircuitry. The neurons will be arranged in layers, each one containing cell subpopulations with specific electrophysiological characteristics based on experimental evidence on the cortex. The different neuronal spiking behaviors will be reproduced with the use of Izhikevich's model. The macroscopic structure of the network will be hierarchical and modular, based on experimental evidence. The network will be stimulated by different stimulation protocols in order to generate regular and epileptiform activity. The hypothesis adopted is that each neuronal subpopulation has intrinsic parameters which, combined with microscopic and macroscopic structural characteristics of the network may influence the generation and propagation of an epileptiform activity in the network. Mean-field equations will be derived for the neuronal subpopulations and he modules, which will be used in an analytical study of the dynamics of the epileptiform activity. The proposed measures to characterize the results will be based on global and local electrical activity of the network in order to make possible a direct comparison with published electroencephalographic recordings. (AU)

Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
AMORIM, MATEUS R.; PENA, RODRIGO F. O.; SOUZA, GEORGE M. P. R.; BONAGAMBA, LENI G. H.; ROQUE, ANTONIO C.; MACHADO, BENEDITO H. Firing properties of ventral medullary respiratory neurons in sino-aortic denervated rats. Experimental Physiology, v. 104, n. 1, p. 39-49, JAN 2019. Web of Science Citations: 0.
VINÍCIUS LIMA CORDEIRO; RODRIGO FELIPE DE OLIVEIRA PENA; CESAR AUGUSTO CELIS CEBALLOS; RENAN OLIVEIRA SHIMOURA; ANTONIO CARLOS ROQUE. Aplicações da teoria da informação à neurociência. Revista Brasileira de Ensino de Física, v. 41, n. 2, p. -, 2019.
PENA, RODRIGO F. O.; ZAKS, MICHAEL A.; ROQUE, ANTONIO C. Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise. Journal of Computational Neuroscience, v. 45, n. 1, p. 1-28, AUG 2018. Web of Science Citations: 0.
PENA, RODRIGO F. O.; CEBALLOS, CESAR C.; LIMA, VINICIUS; ROQUE, ANTONIO C. Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons. Physical Review E, v. 97, n. 4 APR 10 2018. Web of Science Citations: 0.
PENA, RODRIGO F. O.; VELLMER, SEBASTIAN; BERNARDI, DAVIDE; ROQUE, ANTONIO C.; LINDNER, BENJAMIN. Self-Consistent Scheme for Spike-Train Power Spectra in Heterogeneous Sparse Networks. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v. 12, MAR 2 2018. Web of Science Citations: 3.
CEBALLOS, CESAR C.; PENA, RODRIGO F. O.; ROQUE, ANTONIO C.; LEAO, RICARDO M. Non-Decaying postsynaptics potentials and delayed spikes in hippocampal pyramidal neurons generated by a zero slope conductance created by the persistent Na+ current. CHANNELS, v. 12, n. 1, p. 81-88, 2018. Web of Science Citations: 0.
TOMOV, PETER; PENA, RODRIGO F. O.; ROQUE, ANTONIO C.; ZAKS, MICHAEL A. Mechanisms of Self-Sustained Oscillatory States in Hierarchical Modular Networks with Mixtures of Electrophysiological Cell Types. FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, v. 10, MAR 23 2016. Web of Science Citations: 3.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
PENA, Rodrigo Felipe de Oliveira. Emergence of activity fluctuations in cortical network models with heterogeneous neural populations. 2018. Doctoral Thesis - Universidade de São Paulo (USP). Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto Ribeirão Preto.

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