F Bartolomei1, G Bettus, C J Stam, M Guye. 1. INSERM, U751, Laboratoire de Neurophysiologie et Neuropsychologie, Marseille F-13005, France; Aix Marseille University, Faculté de Médecine, Marseille F-13005, France; CHU Timone, Service de Neurophysiologie Clinique, Assistance Publique des Hôpitaux de Marseille, Marseille F-13005, France. Electronic address: fabrice.bartolomei@ap-hm.fr.
Abstract
OBJECTIVE: Graph theoretical analysis of functional connectivity data has demonstrated a small-world topology of brain networks. There is increasing evidence that the topology of brain networks is changed in epilepsy. Here we investigated the basal properties of epileptogenic networks by applying graph analysis to intracerebral EEG recordings of patients presenting with drug-resistant partial epilepsies during the interictal period. METHODS: Interictal EEG activity was recorded in mesial temporal lobe of 11 patients with mesial temporal lobe epilepsy (MTLE group) and compared with a "control" group of 8 patients having neocortical epilepsies (non MTLE group) in whom depth-EEG recordings eventually showed an ictal onset outside the MTL structures. Synchronization likelihood (SL) was calculated between selected intracerebral electrodes contacts to obtain SL-weighted graphs. Mean normalized clustering index, average path length and small world index S were calculated to characterize network organization. RESULTS: Broadband SL values were higher in the MTLE group. Although a small-world pattern was found in the two groups, normalized clustering index and to a lesser extend average path length were higher in the MTLE group. CONCLUSIONS: We demonstrated a trend toward a more regular (less random) configuration of interictal epileptogenic networks. In addition S index was found to correlate with epilepsy duration. SIGNIFICANCE: These topological alterations might be a surrogate marker of human focal epilepsy and disclose some changes over time.
OBJECTIVE: Graph theoretical analysis of functional connectivity data has demonstrated a small-world topology of brain networks. There is increasing evidence that the topology of brain networks is changed in epilepsy. Here we investigated the basal properties of epileptogenic networks by applying graph analysis to intracerebral EEG recordings of patients presenting with drug-resistant partial epilepsies during the interictal period. METHODS: Interictal EEG activity was recorded in mesial temporal lobe of 11 patients with mesial temporal lobe epilepsy (MTLE group) and compared with a "control" group of 8 patients having neocortical epilepsies (non MTLE group) in whom depth-EEG recordings eventually showed an ictal onset outside the MTL structures. Synchronization likelihood (SL) was calculated between selected intracerebral electrodes contacts to obtain SL-weighted graphs. Mean normalized clustering index, average path length and small world index S were calculated to characterize network organization. RESULTS: Broadband SL values were higher in the MTLE group. Although a small-world pattern was found in the two groups, normalized clustering index and to a lesser extend average path length were higher in the MTLE group. CONCLUSIONS: We demonstrated a trend toward a more regular (less random) configuration of interictal epileptogenic networks. In addition S index was found to correlate with epilepsy duration. SIGNIFICANCE: These topological alterations might be a surrogate marker of human focal epilepsy and disclose some changes over time.
Authors: Shahin Tavakol; Jessica Royer; Alexander J Lowe; Leonardo Bonilha; Joseph I Tracy; Graeme D Jackson; John S Duncan; Andrea Bernasconi; Neda Bernasconi; Boris C Bernhardt Journal: Epilepsia Date: 2019-03-19 Impact factor: 5.864
Authors: C J Chu; N Tanaka; J Diaz; B L Edlow; O Wu; M Hämäläinen; S Stufflebeam; S S Cash; M A Kramer Journal: Neuroimage Date: 2014-12-19 Impact factor: 6.556
Authors: Boris C Bernhardt; Neda Bernasconi; Seok-Jun Hong; Sebastian Dery; Andrea Bernasconi Journal: Cereb Cortex Date: 2015-07-28 Impact factor: 5.357