Artículos de revistas
Synchronization structure of evolving epileptic networks using cross-entropy
Fecha
2018-10-01Registro en:
European Physical Journal: Special Topics, v. 227, n. 7-9, p. 883-893, 2018.
1951-6401
1951-6355
10.1140/epjst/e2018-800015-1
2-s2.0-85055108543
Autor
Universidade de São Paulo (USP)
Hospital Israelita Albert Einstein
Universidade Estadual Paulista (Unesp)
Epistemic
Institución
Resumen
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.