{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,22]],"date-time":"2026-09-22T22:26:33Z","timestamp":1790115993208,"version":"4.0.1"},"reference-count":52,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,9,10]],"date-time":"2020-09-10T00:00:00Z","timestamp":1599696000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100007155","name":"Medical Research Council Canada","doi-asserted-by":"publisher","award":["MR\/K023152\/1"],"award-info":[{"award-number":["MR\/K023152\/1"]}],"id":[{"id":"10.13039\/501100007155","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007155","name":"Medical Research Council Canada","doi-asserted-by":"publisher","award":["MR\/S00355X\/1"],"award-info":[{"award-number":["MR\/S00355X\/1"]}],"id":[{"id":"10.13039\/501100007155","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["1R01NS110347\u201001A"],"award-info":[{"award-number":["1R01NS110347\u201001A"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["R21 NS107739"],"award-info":[{"award-number":["R21 NS107739"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Annals of Neurology"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Medial temporal lobe epilepsy (TLE) is the most common form of medication\u2010resistant focal epilepsy in adults. Despite removal of medial temporal structures, more than one\u2010third of patients continue to have disabling seizures postoperatively. Seizure refractoriness implies that extramedial regions are capable of influencing the brain network and generating seizures. We tested whether abnormalities of structural network integration could be associated with surgical outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Presurgical magnetic resonance images from 121 patients with drug\u2010resistant TLE across 3 independent epilepsy centers were used to train feed\u2010forward neural network models based on tissue volume or graph\u2010theory measures from whole\u2010brain diffusion tensor imaging structural connectomes. An independent dataset of 47 patients with TLE from 3 other epilepsy centers was used to assess the predictive values of each model and regional anatomical contributions toward surgical treatment results.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The receiver operating characteristic area under the curve based on regional betweenness centrality was 0.88, significantly higher than a random model or models based on gray matter volumes, degree, strength, and clustering coefficient. Nodes most strongly contributing to the predictive models involved the bilateral parahippocampal gyri, as well as the superior temporal gyri.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Interpretation<\/jats:title>\n                    <jats:p>Network integration in the medial and lateral temporal regions was related to surgical outcomes. Patients with abnormally integrated structural network nodes were less likely to achieve seizure freedom. These findings are in line with previous observations related to network abnormalities in TLE and expand on the notion of underlying aberrant plasticity. Our findings provide additional information on the mechanisms of surgical refractoriness. ANN NEUROL 2020;88:970\u2013983<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/ana.25888","type":"journal-article","created":{"date-parts":[[2020,8,22]],"date-time":"2020-08-22T07:05:44Z","timestamp":1598079944000},"page":"970-983","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":124,"title":["Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study"],"prefix":"10.1002","volume":"88","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4212-4146","authenticated-orcid":false,"given":"Ezequiel","family":"Gleichgerrcht","sequence":"first","affiliation":[{"name":"Department of Neurology Medical University of South Carolina  Charleston SC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon S.","family":"Keller","sequence":"additional","affiliation":[{"name":"Department of Pharmacology and Therapeutics, Institute of Systems, Molecular, and Integrative Biology University of Liverpool  Liverpool UK"},{"name":"Department of Neuroradiology Walton Centre NHS Foundation Trust  Liverpool UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel L.","family":"Drane","sequence":"additional","affiliation":[{"name":"Department of Neurology Emory University School of Medicine  Atlanta GA USA"},{"name":"Department of Pediatrics Emory University School of Medicine  Atlanta GA USA"},{"name":"Department of Neurology University of Washington School of Medicine  Seattle WA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brent C.","family":"Munsell","sequence":"additional","affiliation":[{"name":"Department of Computer Science University of North Carolina  Chapel Hill NC USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kathryn A.","family":"Davis","sequence":"additional","affiliation":[{"name":"Department of Neurology University of Pennsylvania  Philadelphia PA 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