Synchronization structure of evolving epileptic networks using cross-entropy

Author(s)

Rodrigues, Abner Cardoso ^[1] ; Sales Ferreira Caboclo, Luis Otavio ^[2] ; Cerdeira, Hilda Alicia ^{[3, 4]} ; Amaro, Jr., Edson ^[2] ; Machado, Birajara Soares ^[2]

Affiliation

^[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

• Document type: Journal article
• Source: European Physical Journal-Special Topics; v. 227, n. 7-9, p. 883-893, OCT 2018.
• Web of Science Citations: 1

Abstract

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)

• FAPESP's process: 11/11973-4 - ICTP South American Institute for Fundamental Research: a regional center for theoretical physics
• Grantee: Nathan Jacob Berkovits
• Support type: Research Projects - Thematic Grants