{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lariviere S"],"funding":["Gouvernement du Canada | Instituts de Recherche en Santé du Canada | CIHR Skin Research Training Centre","Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","NIBIB NIH HHS","Medical Research Council","NINDS NIH HHS","CIHR"],"pagination":["4320"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9329287"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["13(1)"],"pubmed_abstract":["Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem epilepsy risk gene expression patterns. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE sh"],"journal":["Nature communications"],"pubmed_title":["Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression."],"pmcid":["PMC9329287"],"funding_grant_id":["MR/M00841X/1","P41 EB015922","R21 NS107739","R01 NS122827","R01 NS106957","PJT-174995","FDN-154298","U54 EB020403","G080212","MR/K013998/1","Discovery-1304413"],"pubmed_authors":["Devinsky O","Vivash L","Vaudano AE","Zhang J","Bernasconi N","Griffin A","Cavalleri GL","Focke NK","Semmelroch M","Tondelli M","Sinclair B","Martin P","Mascalchi M","von Podewills F","Delanty N","Depondt C","Gambardella A","Cendes F","Hatton SN","Tiwari VK","Bernhardt BC","Lariviere S","Meletti S","O'Brien TJ","Severino M","Wiest R","Paquola C","Winston GP","Bernasconi A","Whelan CD","Rodriguez-Cruces R","Gleichgerrcht E","Thompson PM","Labate A","Concha L","Doherty CP","Alhusaini S","Richardson MP","Rummel C","Desmond PM","Hamandi K","Duncan JS","McDonald CR","Langner S","Royer J","Kaestner E","Guerrini R","Lui E","Carr SJA","Soltanian-Zadeh H","Kalviainen R","Vos SB","Tortora D","Jackson GD","Keller SS","Singh A","Absil J","Striano P","Sisodiya SM","Bonilha L","Kreilkamp BAK","Kowalczyk M","Weber B","Abela E","Kotikalapudi R","Caligiuri ME","Lenge M","Davoodi-Bojd E","Foley S","Domin M","Ruber T","Thomas RH","Caciagli L","Yasuda CL"],"additional_accession":[]},"is_claimable":false,"name":"Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression.","description":"Epilepsy is associated with genetic risk factors and cortico-subcortical network alterations, but associations between neurobiological mechanisms and macroscale connectomics remain unclear. This multisite ENIGMA-Epilepsy study examined whole-brain structural covariance networks in patients with epilepsy and related findings to postmortem epilepsy risk gene expression patterns. Brain network analysis included 578 adults with temporal lobe epilepsy (TLE), 288 adults with idiopathic generalized epilepsy (IGE), and 1328 healthy controls from 18 centres worldwide. Graph theoretical analysis of structural covariance networks revealed increased clustering and path length in orbitofrontal and temporal regions in TLE, suggesting a shift towards network regularization. Conversely, people with IGE sh","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jul","modification":"2025-04-04T08:46:06.7Z","creation":"2022-08-03T06:12:31.365Z"},"accession":"S-EPMC9329287","cross_references":{"pubmed":["35896547"],"doi":["10.1038/s41467-022-31730-5"]}}