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Pre-seizure architecture of the local connections of the epileptic focus examined via graph-theory

Authors :
Vecchio, Fabrizio
Miraglia, Francesca
Vollono, Catello
Fuggetta, Filomena
Bramanti, Placido
Cioni, Beatrice
Rossini, Paolo Maria
Cioni, Beatrice (ORCID:0000-0002-6830-6204)
Rossini, Paolo Maria (ORCID:0000-0003-2665-534X)
Vecchio, Fabrizio
Miraglia, Francesca
Vollono, Catello
Fuggetta, Filomena
Bramanti, Placido
Cioni, Beatrice
Rossini, Paolo Maria
Cioni, Beatrice (ORCID:0000-0002-6830-6204)
Rossini, Paolo Maria (ORCID:0000-0003-2665-534X)
Publication Year :
2016

Abstract

Objective Epilepsy is characterized by unpredictable and sudden paroxysmal neuronal firing occurrences and sometimes evolving in clinically evident seizure. To predict seizure event, small-world characteristic in nine minutes before seizure, divided in three 3-min periods (T0, T1, T2) were investigated. Methods Intracerebral recordings were obtained from 10 patients with drug resistant focal epilepsy examined by means of stereotactically implanted electrodes; analysis was focused in a period of low spiking (Baseline) and during two seizures. Networks’ architecture is undirected and weighted. Electrodes’ contacts close to epileptic focus are the vertices, edges are weighted by mscohere (=magnitude squared coherence). Results Differences were observed between Baseline and T1 and between Baseline and T2 in theta band; and between Baseline and T1, Baseline and T2, and near-significant difference between T0 and T2 in Alpha 2 band. Moreover, an intra-band index was computed for small worldness as difference between Theta and Alpha 2. It was found a growing index trend from Baseline to T2. Conclusions Cortical network features a specific pre-seizure architecture which could predict the incoming epileptic seizure. Significance Through this study future researches could investigate brain connectivity modifications approximating a clinical seizure also in order to address a preventive therapy.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1105029189
Document Type :
Electronic Resource