| Texto completo | |
| Autor(es): |
Rodrigues, Abner Cardoso
[1]
;
Sales Ferreira Caboclo, Luis Otavio
[2]
;
Cerdeira, Hilda Alicia
[3, 4]
;
Amaro, Jr., Edson
[2]
;
Machado, Birajara Soares
[2]
Número total de Autores: 5
|
| Afiliação do(s) autor(es): | [1] Univ Sao Paulo, Inst Matemat & Estat, Sao Paulo - Brazil
[2] Hosp Israelita Albert Einstein, Sao Paulo - Brazil
[3] Sao Paulo State Univ, UNESP, Inst Fis Teor, Sao Paulo - Brazil
[4] Epistemic, Dept Res, Sao Paulo - Brazil
Número total de Afiliações: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | European Physical Journal-Special Topics; v. 227, n. 7-9, p. 883-893, OCT 2018. |
| Citações Web of Science: | 1 |
| Resumo | |
In this paper we present connectivity patterns of evolving large scale epileptic networks. We employed a cross-entropy measure in the frequency domain on EEG signals to infer the networks, before and during episodes of epileptic seizures. This measure allowed us to make a richer portrait about the node interactions on the graph and to identify emergent structures associated with the synchronization of brain activity. Our results points to a more complex scenario of network organization than the synchronized/unsynchronized dichotomy, with two main results: first, showing regions with unsynchronized (or independent) behavior, even during absence seizures, contradicting the concept of hypersynchrony. Furthermore, we explore the cross-entropy fluctuations along the seizure: a group of nodes became more similar over time while another group became more different, showing a complementary behaviour and different local brain activities. These results bring new questions about the spreading and the sustenance of the epileptic seizures and others synchronization phenomena in living systems. (AU) | |
| Processo FAPESP: | 11/11973-4 - ICTP Instituto Sul-Americano para Pesquisa Fundamental: um centro regional para física teórica |
| Beneficiário: | Nathan Jacob Berkovits |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |