Synchronization structure of evolving epileptic networks using cross-entropy
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2018-10-01
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Rodrigues, Abner Cardoso
Ferreira Caboclo, Luis Otavio Sales
Cerdeira, Hilda Alicia [UNESP]
Amaro, Edson
Machado, Birajara Soares
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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.
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European Physical Journal: Special Topics, v. 227, n. 7-9, p. 883-893, 2018.