{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T04:52:40Z","timestamp":1786423960835,"version":"build-2736575974"},"reference-count":56,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2023,9,8]],"date-time":"2023-09-08T00:00:00Z","timestamp":1694131200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100008914","name":"Ontario Brain Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008914","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Epilepsia"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Predicting memory morbidity after temporal lobectomy in patients with temporal lobe epilepsy (TLE) relies on indices of preoperative temporal lobe structural and functional integrity. However, epilepsy is increasingly considered a network disorder, and memory a network phenomenon. We assessed the utility of functional network measures to predict postoperative memory changes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Seventy\u2010two adults with TLE (37 left\/35 right) underwent preoperative resting\u2010state functional magnetic resonance imaging and pre\u2010 and postoperative neuropsychological assessment. We compared functional connectivity throughout the memory network of each patient to a healthy control template (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u200919) to identify differences in global organization. A second metric indicated the degree of integration of the to\u2010be\u2010resected temporal lobe with the rest of the memory network. We included these measures in a linear regression model alongside standard clinical variables as predictors of memory change after surgery.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Left TLE patients with more atypical memory networks, and with greater functional integration of the to\u2010be\u2010resected region with the rest of the memory network preoperatively, experienced the greatest decline in verbal memory after surgery. Together, these two measures explained 44% of variance in verbal memory change, outperforming standard clinical and demographic variables. None of the variables examined was associated with visuospatial memory change in patients with right TLE.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance<\/jats:title>\n                    <jats:p>Resting\u2010state connectivity provides valuable information concerning both the integrity of to\u2010be\u2010resected tissue and functional reserve across memory\u2010relevant regions outside of the to\u2010be\u2010resected tissue. Intrinsic functional connectivity has the potential to be useful for clinical decision\u2010making regarding memory outcomes in left TLE, and more work is needed to identify the factors responsible for differences seen in right TLE.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/epi.17767","type":"journal-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T21:49:43Z","timestamp":1693345783000},"page":"3061-3072","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Leveraging the resting brain to predict memory decline after temporal lobectomy"],"prefix":"10.1111","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8655-5589","authenticated-orcid":false,"given":"Sam","family":"Audrain","sequence":"first","affiliation":[{"name":"Division of Clinical and Computational Neuroscience, Krembil Research Institute University Health Network  Toronto Ontario 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