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An actuarial neuropsychological method designed to diagnose MCI was applied to individual patients to identify older adults with TLE who met diagnostic criteria for MCI (TLE\u2010MCI). A linear classifier was performed to evaluate how well the diagnostic criteria differentiated patients with TLE\u2010MCI from aMCI. In TLE, the contribution of epilepsy\u2010related and vascular risk factors to cognitive impairment was evaluated using multiple regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Forty\u2010three TLE patients (60%) met criteria for TLE\u2010MCI, demonstrating marked deficits in both memory and language. When patients were analyzed according to age at seizure onset, 63% of those with an early onset (&lt;50\u00a0years) versus 56% of those with late onset (\u2265 50 years) met criteria for TLE\u2010MCI. A classification model between TLE\u2010MCI and aMCI correctly classified 81.1% (90.6% specificity, 61.3% sensitivity) of the cohort based on neuropsychological scores. Whereas TLE\u2010MCI showed greater deficits in language relative to aMCI, patients with aMCI showed greater rapid forgetting on memory measures. Both epilepsy\u2010related risk factors and the presence of leukoaraiosis on MRI contributed to impairment profiles in TLE\u2010MCI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Significance<\/jats:title>\n                    <jats:p>Cognitive impairment is a common comorbidity in epilepsy and it presents in a substantial number of older adults with TLE. Although the underlying etiologies are unknown in many patients, the TLE\u2010MCI phenotype may be secondary to an accumulation of epilepsy and vascular risk factors, signal the onset of a neurodegenerative disease, or represent a combination of factors.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/epi.16780","type":"journal-article","created":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T06:17:29Z","timestamp":1606803449000},"page":"460-471","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Diagnosing cognitive disorders in older adults with epilepsy"],"prefix":"10.1111","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0625-6990","authenticated-orcid":false,"given":"Anny","family":"Reyes","sequence":"first","affiliation":[{"name":"Center for Multimodal Imaging and Genetics University of California San Diego CA USA"},{"name":"San Diego State University\/University of California 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Genetics University of California San Diego CA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhong Irene","family":"Wang","sequence":"additional","affiliation":[{"name":"Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8747-672X","authenticated-orcid":false,"given":"Daniel L.","family":"Drane","sequence":"additional","affiliation":[{"name":"Departments of Neurology and Pediatrics Emory University School of Medicine Atlanta GA USA"},{"name":"Department of Neurology University of Washington Seattle WA USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0552-6736","authenticated-orcid":false,"given":"Vineet","family":"Punia","sequence":"additional","affiliation":[{"name":"Epilepsy Center Neurological Institute Cleveland Clinic Cleveland OH 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