Cortical connectivity in fronto-temporal focal epilepsy from EEG analysis: A study via graph theory

摘要: Abstract Objective It is believed that effective connectivity and optimal network structure are essential for proper information processing in the brain. Indeed, functional abnormalities of brain found to be associated with pathological changes structures. The aim present study was explore interictal properties EEG signals from temporal lobe structures context fronto-temporal epilepsy. Methods To complete this aim, graph characteristics data 17 patients suffering focal epilepsy type, recorded during periods, were examined compared terms affected versus unaffected hemispheres. analysis performed using eLORETA software 15 regions (Brodmann Areas BAs 8, 9, 10, 11, 20, 21, 22, 37, 38, 41, 42, 44, 45, 46, 47) on both Results evaluation parameters, such as ‘global’ (characteristic path length) ‘local’ (clustering coefficient) showed a statistically significant interaction among side (affected hemisphere) Band (delta, theta, alpha, beta, gamma). Duncan post hoc testing an increase length alpha band hemisphere respect one, evaluated by inter-hemispheric marker. also higher values local band. In general, global theory parameters hemisphere. demonstrated these effects more evident drug-free than those undergoing pharmacological therapy. Conclusions increased measures segregation integration could result combination overlapping mechanisms, including reactive neuroplastic seeking maintain constant properties. Significance This mechanism seems absence antiepileptic treatment.