Synchronization structure of evolving epileptic networks using cross-entropy

• Autor(a) principal: Rodrigues, Abner Cardoso
• Data de Publicação: 2018
• Outros Autores: Ferreira Caboclo, Luis Otavio Sales, Cerdeira, Hilda Alicia [UNESP], Amaro, Edson, Machado, Birajara Soares
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1140/epjst/e2018-800015-1; http://hdl.handle.net/11449/188231

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.