{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:12:27Z","timestamp":1772118747393,"version":"3.50.1"},"reference-count":46,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T00:00:00Z","timestamp":1631145600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82071454"],"award-info":[{"award-number":["82071454"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Neuroscience Research"],"published-print":{"date-parts":[[2021,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Mesial temporal lobe epilepsy (MTLE) is the most common type of focal epilepsy, presenting both structural and metabolic abnormalities in the ipsilateral mesial temporal lobe. While it has been demonstrated that the metabolic abnormalities in MTLE actually extend beyond the epileptogenic zone, how such multidimensional information is associated with the diagnosis of MTLE remains to be tested. Here, we explore the whole\u2010brain metabolic patterns in 23 patients with MTLE and 24 healthy controls using [\n                    <jats:sup>18<\/jats:sup>\n                    F]fluorodeoxyglucose PET imaging. Based on a multivariate machine learning approach, we demonstrate that the brain metabolic patterns can discriminate patients with MTLE from controls with a superior accuracy (&gt;95%). Importantly, voxels showing the most extreme contributing weights to the classification (i.e., the most important regional predictors) distribute across both hemispheres, involving both ipsilateral negative weights over the anterior part of lateral and medial temporal lobe, posterior insula, and lateral orbital frontal gyrus, and contralateral positive weights over the anterior frontal lobe, temporal lobe, and lingual gyrus. Through region\u2010of\u2010interest analyses, we verify that in patients with MTLE, the negatively weighted regions are hypometabolic, and the positively weighted regions are hypermetabolic, compared to controls. Interestingly, despite that both hypo\u2010 and hypermetabolism have mutually contributed to our model, they may reflect different pathological and\/or compensative responses. For instance, patients with earlier age at epilepsy onset present greater hypometabolism in the ipsilateral inferior temporal gyrus, while we find no evidence of such association with hypermetabolism. In summary, quantitative models utilizing multidimensional brain metabolic information may provide additional assistance to presurgical workups in TLE.\n                  <\/jats:p>","DOI":"10.1002\/jnr.24951","type":"journal-article","created":{"date-parts":[[2021,9,9]],"date-time":"2021-09-09T08:01:34Z","timestamp":1631174494000},"page":"3035-3046","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Characterizing the hyper\u2010 and hypometabolism in temporal lobe epilepsy using multivariate machine learning"],"prefix":"10.1002","volume":"99","author":[{"given":"Dongyan","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Neurology China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG\/McGovern Institute for Brain Research Beijing Normal University Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gaolang","family":"Gong","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Cognitive Neuroscience and Learning &amp; IDG\/McGovern Institute for Brain Research Beijing Normal University Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yumin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaoling","family":"Jin","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine China\u2010Japan Friendship Hospital Beijing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Qi","sequence":"additional","affiliation":[{"name":"Department of Neurology Xuanwu Hospital, Capital Medical University 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Epilepsy Center of Beijing, The Beijing Key Laboratory of Neuromodulation, Department of Neurology Xuanwu Hospital Capital Medical University Beijing 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