Enhanced Synaptic Connectivity in the Dentate Gyrus during Epileptiform Activity: Network Simulation

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dc.contributor.author Almeida Franca, Keite Lira de
dc.contributor.author Guimaraes de Almeida, Antonio-Carlos
dc.contributor.author Catelli Infantosi, Antonio Fernando
dc.contributor.author Duarte, Mario Antonio
dc.contributor.author Silveira, Gilcelio Amaral da
dc.contributor.author Scorza, Fulvio Alexandre [UNIFESP]
dc.contributor.author Arida, Ricardo Mario [UNIFESP]
dc.contributor.author Cavalheiro, Esper Abrao [UNIFESP]
dc.contributor.author Rodrigues, Antonio Marcio
dc.date.accessioned 2016-01-24T14:30:55Z
dc.date.available 2016-01-24T14:30:55Z
dc.date.issued 2013-01-01
dc.identifier http://dx.doi.org/10.1155/2013/949816
dc.identifier.citation Computational Intelligence and Neuroscience. New York: Hindawi Publishing Corporation, 19 p., 2013.
dc.identifier.issn 1687-5265
dc.identifier.uri http://repositorio.unifesp.br/handle/11600/35711
dc.description.abstract Structural rearrangement of the dentate gyrus has been described as the underlying cause of many types of epilepsies, particularly temporal lobe epilepsy. It is said to occur when aberrant connections are established in the damaged hippocampus, as described in human epilepsy and experimental models. Computer modelling of the dentate gyrus circuitry and the corresponding structural changes has been used to understand how abnormal mossy fibre sprouting can subserve seizure generation observed in experimental models when epileptogenesis is induced by status epilepticus. the model follows the McCulloch-Pitts formalism including the representation of the nonsynaptic mechanisms. the neuronal network comprised granule cells, mossy cells, and interneurons. the compensation theory and the Hebbian and anti-Hebbian rules were used to describe the structural rearrangement including the effects of the nonsynaptic mechanisms on the neuronal activity. the simulations were based on neuroanatomic data and on the connectivity pattern between the cells represented. the results suggest that there is a joint action of the compensation theory and Hebbian rules during the inflammatory process that accompanies the status epilepticus. the structural rearrangement simulated for the dentate gyrus circuitry promotes speculation about the formation of the abnormal mossy fiber sprouting and its role in epileptic seizures. en
dc.description.sponsorship Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorship Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorship Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorship Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorship INNT
dc.format.extent 19
dc.language.iso eng
dc.publisher Hindawi Publishing Corporation
dc.relation.ispartof Computational Intelligence and Neuroscience
dc.rights Acesso aberto
dc.title Enhanced Synaptic Connectivity in the Dentate Gyrus during Epileptiform Activity: Network Simulation en
dc.type Artigo
dc.contributor.institution Universidade Federal de Sergipe (UFS)
dc.contributor.institution Universidade Federal do Rio de Janeiro (UFRJ)
dc.contributor.institution Universidade Federal de São Paulo (UNIFESP)
dc.description.affiliation Univ Fed Sao Joao Rei UFSJ, Dept Engn Biossistemas, Lab Neurociencia Expt Computac, Sao Joao Del Rei, MG, Brazil
dc.description.affiliation Univ Fed Rio Janeiro UFRJ COPPE, Programa Engn Biomed, Rio de Janeiro, Brazil
dc.description.affiliation Universidade Federal de São Paulo UNIFESP, EPM, Disciplina Neurol Expt, São Paulo, Brazil
dc.description.affiliation Universidade Federal de São Paulo UNIFESP, EPM, Disciplina Neurofisiol & Fisiol Exercicio, São Paulo, Brazil
dc.description.affiliationUnifesp Universidade Federal de São Paulo UNIFESP, EPM, Disciplina Neurol Expt, São Paulo, Brazil
dc.description.affiliationUnifesp Universidade Federal de São Paulo UNIFESP, EPM, Disciplina Neurofisiol & Fisiol Exercicio, São Paulo, Brazil
dc.identifier.file WOS000334111200001.pdf
dc.identifier.doi 10.1155/2013/949816
dc.description.source Web of Science
dc.identifier.wos WOS:000334111200001



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