{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T02:17:41Z","timestamp":1791339461109,"version":"4.3.1"},"reference-count":39,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2015,2,23]],"date-time":"2015-02-23T00:00:00Z","timestamp":1424649600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100001605","name":"Epilepsy Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100001605","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Epilepsia"],"published-print":{"date-parts":[[2015,4]]},"abstract":"<jats:title>Summary<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>This study determined the ability of resting\u2010state functional connectivity (rs<jats:styled-content style=\"fixed-case\">FC<\/jats:styled-content>) graph\u2010theory measures to predict neurocognitive status postsurgery in patients with temporal lobe epilepsy (<jats:styled-content style=\"fixed-case\">TLE<\/jats:styled-content>) who underwent anterior temporal lobectomy (<jats:styled-content style=\"fixed-case\">ATL<\/jats:styled-content>).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A presurgical resting\u2010state functional magnetic resonance imaging (fMRI) condition was collected in 16 left and 16 right <jats:styled-content style=\"fixed-case\">TLE<\/jats:styled-content> patients who underwent <jats:styled-content style=\"fixed-case\">ATL<\/jats:styled-content>. In addition, patients received neuropsychological testing pre\u2010 and postsurgery in verbal and nonverbal episodic memory, language, working memory, and attention domains. Regarding the functional data, we investigated three graph\u2010theory properties (local efficiency, distance, and participation), measuring segregation, integration and centrality, respectively. These measures were only computed in regions of functional relevance to the ictal pathology, or the cognitive domain. Linear regression analyses were computed to predict the change in each neurocognitive domain.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Our analyses revealed that cognitive outcome was successfully predicted with at least 68% of the variance explained in each model, for both <jats:styled-content style=\"fixed-case\">TLE<\/jats:styled-content> groups. The only model not significantly predictive involved nonverbal episodic memory outcome in right <jats:styled-content style=\"fixed-case\">TLE<\/jats:styled-content>. Measures involving the healthy hippocampus were the most common among the predictors, suggesting that enhanced integration of this structure with the rest of the brain may improve cognitive outcomes. Regardless of <jats:styled-content style=\"fixed-case\">TLE<\/jats:styled-content> group, left inferior frontal regions were the best predictors of language outcome. Working memory outcome was predicted mostly by right\u2010sided regions, in both groups. Overall, the results indicated our integration measure was the most predictive of neurocognitive outcome. In contrast, our segregation measure was the least predictive.<\/jats:p><\/jats:sec><jats:sec><jats:title>Significance<\/jats:title><jats:p>This study provides evidence that presurgery rs<jats:styled-content style=\"fixed-case\">FC<\/jats:styled-content> measures may help determine neurocognitive outcomes following <jats:styled-content style=\"fixed-case\">ATL<\/jats:styled-content>. The results have implications for refining our understanding of compensatory reorganization and predicting cognitive outcome after <jats:styled-content style=\"fixed-case\">ATL<\/jats:styled-content>. The results are encouraging with regard to the clinical relevance of using graph\u2010theory measures in presurgical algorithms in the setting of <jats:styled-content style=\"fixed-case\">TLE<\/jats:styled-content>.<\/jats:p><\/jats:sec>","DOI":"10.1111\/epi.12936","type":"journal-article","created":{"date-parts":[[2015,2,23]],"date-time":"2015-02-23T10:20:59Z","timestamp":1424686859000},"page":"517-526","source":"Crossref","is-referenced-by-count":74,"title":["Presurgery resting\u2010state local graph\u2010theory measures predict neurocognitive outcomes after brain surgery in temporal lobe epilepsy"],"prefix":"10.1111","volume":"56","author":[{"given":"Gaelle E.","family":"Doucet","sequence":"first","affiliation":[{"name":"Department of Neurology Thomas Jefferson University Philadelphia Pennsylvania U.S.A"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Rider","sequence":"additional","affiliation":[{"name":"Department of Neurology Thomas Jefferson 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