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Lateralization of epilepsy using intra-hemispheric brain networks based on resting-state MEG data.
Pourmotabbed, Haatef; Wheless, James W; Babajani-Feremi, Abbas.
Afiliación
  • Pourmotabbed H; Department of Orthopaedic Surgery and Biomedical Engineering, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
  • Wheless JW; Department of Biomedical Engineering, University of Memphis, Memphis, Tennessee, USA.
  • Babajani-Feremi A; Department of Pediatrics, Division of Pediatric Neurology, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Hum Brain Mapp ; 41(11): 2964-2979, 2020 08 01.
Article en En | MEDLINE | ID: mdl-32400923
Focal epilepsy originates within networks in one hemisphere. However, previous studies have investigated network topologies for the entire brain. In this study, magnetoencephalography (MEG) was used to investigate functional intra-hemispheric networks of healthy controls (HCs) and patients with left- or right-hemispheric temporal lobe or temporal plus extra-temporal lobe epilepsy. 22 HCs, 25 left patients (LPs), and 16 right patients (RPs) were enrolled. The debiased weighted phase lag index was used to calculate functional connectivity between 246 brain regions in six frequency bands. Global efficiency, characteristic path length, and transitivity were computed for left and right intra-hemispheric networks. The right global graph measures (GGMs) in the theta band were significantly different (p < .005) between RPs and both LPs and HCs. Right and left GGMs in higher frequency bands were significantly different (p < .05) between HCs and the patients. Right GGMs were used as input features of a Naïve-Bayes classifier to classify LPs and RPs (78.0% accuracy) and all three groups (75.5% accuracy). The complete theta band brain networks were compared between LPs and RPs with network-based statistics (NBS) and with the clustering coefficient (CC), nodal efficiency (NE), betweenness centrality (BC), and eigenvector centrality (EVC). NBS identified a subnetwork primarily composed of right intra-hemispheric connections. Significantly different (p < .05) nodes were primarily in the right hemisphere for the CC and NE and primarily in the left hemisphere for the BC and EVC. These results indicate that intra-hemispheric MEG networks may be incorporated in the diagnosis and lateralization of focal epilepsy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Magnetoencefalografía / Corteza Cerebral / Epilepsias Parciales / Ondas Encefálicas / Conectoma / Red Nerviosa Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Magnetoencefalografía / Corteza Cerebral / Epilepsias Parciales / Ondas Encefálicas / Conectoma / Red Nerviosa Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos