{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T17:24:39Z","timestamp":1790789079706,"version":"4.1.0"},"reference-count":32,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2021,2,10]],"date-time":"2021-02-10T00:00:00Z","timestamp":1612915200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","award":["MR\/M00841X\/1"],"award-info":[{"award-number":["MR\/M00841X\/1"]}],"id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Epilepsia"],"published-print":{"date-parts":[[2021,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>To compare the location of suspect lesions detected by computational analysis of multimodal magnetic resonance imaging data with areas of seizure onset, early propagation, and interictal epileptiform discharges (IEDs) identified with stereoelectroencephalography (SEEG) in a cohort of patients with medically refractory focal epilepsy and radiologically normal magnetic resonance imaging (MRI) scans.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We developed a method of lesion detection using computational analysis of multimodal MRI data in a cohort of 62 control subjects, and 42 patients with focal epilepsy and MRI\u2010visible lesions. We then applied it to detect covert lesions in 27 focal epilepsy patients with radiologically normal MRI scans, comparing our findings with the areas of seizure onset, early propagation, and IEDs identified at SEEG.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Seizure\u2010onset zones (SoZs) were identified at SEEG in 18 of the 27 patients (67%) with radiologically normal MRI scans. In 11 of these 18 cases (61%), concordant abnormalities were detected by our method. In the remaining seven cases, either early seizure propagation or IEDs were observed within the abnormalities detected, or there were additional areas of imaging abnormalities found by our method that were not sampled at SEEG. In one of the nine patients (11%) in whom SEEG was inconclusive, an abnormality, which may have been involved in seizures, was identified by our method and was not sampled at SEEG.<\/jats:p><\/jats:sec><jats:sec><jats:title>Significance<\/jats:title><jats:p>Computational analysis of multimodal MRI data revealed covert abnormalities in the majority of patients with refractory focal epilepsy and radiologically normal MRI that co\u2010located with SEEG defined zones of seizure onset. The method could help identify areas that should be targeted with SEEG when considering epilepsy surgery.<\/jats:p><\/jats:sec>","DOI":"10.1111\/epi.16836","type":"journal-article","created":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T05:47:01Z","timestamp":1613022421000},"page":"807-816","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data"],"prefix":"10.1111","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2443-8800","authenticated-orcid":false,"given":"Baris","family":"Kanber","sequence":"first","affiliation":[{"name":"Centre for Medical Image Computing University College London London UK"},{"name":"Department of Clinical and Experimental Epilepsy UCL Queen Square Institute of Neurology London UK"},{"name":"MRI Unit Epilepsy Society Chalfont St Peter UK"},{"name":"National Institute for Health Research Biomedical Research Centre at University College London and University College London NHS Foundation Trust London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8502-4487","authenticated-orcid":false,"given":"Sjoerd B.","family":"Vos","sequence":"additional","affiliation":[{"name":"Centre for Medical Image Computing University College London London UK"},{"name":"Department of Clinical and Experimental Epilepsy UCL Queen Square Institute of Neurology London UK"},{"name":"MRI Unit Epilepsy Society Chalfont St Peter UK"},{"name":"National Institute for Health Research Biomedical Research Centre at University College London and University College London NHS Foundation Trust London UK"},{"name":"Neuroradiological Academic Unit UCL Queen Square Institute of Neurology London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jane","family":"de 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Amin","family":"Chowdhury","sequence":"additional","affiliation":[{"name":"Department of Clinical and Experimental Epilepsy UCL Queen Square Institute of Neurology London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7712-2629","authenticated-orcid":false,"given":"Maria","family":"Thom","sequence":"additional","affiliation":[{"name":"Department of Clinical and Experimental Epilepsy UCL Queen Square Institute of Neurology London UK"},{"name":"Division of Neuropathology The National Hospital for Neurology and Neurosurgery London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel C.","family":"Alexander","sequence":"additional","affiliation":[{"name":"Centre for Medical Image Computing University College London London UK"},{"name":"National Institute for Health Research Biomedical Research Centre at University College London and University College London NHS Foundation Trust London 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