Brain network dynamics characterization in epileptic seizures

Autor(es)

Rodrigues, A. C. ^{[1, 2]} ; Machado, B. S. ^[3] ; Florence, G. ^{[4, 1]} ; Hamad, A. P. ^[5] ; Sakamoto, A. C. ^[5] ; Fujita, A. ^[6] ; Baccala, L. A. ^[7] ; Amaro, Jr., E. ^{[3, 1]} ; Sameshima, K. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Sch Med, Dept Radiol & Oncol, Sao Paulo - Brazil

^[2] Univ Sao Paulo, Bioinformat Interunits Grad Program, Sao Paulo - Brazil

^[3] Hosp Israelita Albert Einstein, Sao Paulo - Brazil

^[4] Univ Sao Paulo, Sch Med, Dept Neurol, Sao Paulo - Brazil

^[5] Univ Sao Paulo, Ribeirao Preto Sch Med, Dept Neurosci & Behav, BR-14049 Ribeirao Preto - Brazil

^[6] Univ Sao Paulo, Inst Math & Stat, Sao Paulo - Brazil

^[7] Univ Sao Paulo, Dept Telecommun & Control Engn, Escola Politecn, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: European Physical Journal-Special Topics; v. 223, n. 13, p. 2933-2941, DEC 2014.
• Citações Web of Science: 8

Resumo

Here we propose and evaluate a new approach to analyse multichannel mesial temporal lobe epilepsy EEG data from eight patients through complex network and synchronization theories. The method employs a Granger causality test to infer the directed connectivity graphs and a wavelet transform based phase synchronization measure whose characteristics allow studying dynamical transitions during epileptic seizures. We present a new combined graph measure that quantifies the level of network hub formation, called network hub out-degree, which closely reflects the level of synchronization observed during the ictus. (AU)

• Processo FAPESP: 11/21138-5 - Análise de padrões oscilatórios de registros intracirúrgicos em Estimulação Cerebral Profunda para Doença de Parkinson
• Beneficiário: Gerson Florence Carvalheira de Azevedo
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado