{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T05:09:19Z","timestamp":1783746559836,"version":"3.55.0"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T00:00:00Z","timestamp":1724025600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T00:00:00Z","timestamp":1724025600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP21K15720"],"award-info":[{"award-number":["JP21K15720"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012628","name":"Japan Epilepsy Research Foundation","doi-asserted-by":"publisher","award":["22007"],"award-info":[{"award-number":["22007"]}],"id":[{"id":"10.13039\/501100012628","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008732","name":"Uehara Memorial Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008732","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-024-70313-w","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T09:03:04Z","timestamp":1724058184000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["White matter brain-age in diverse forms of epilepsy and interictal psychosis"],"prefix":"10.1038","volume":"14","author":[{"given":"Daichi","family":"Sone","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iman","family":"Beheshti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoko","family":"Shigemoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yukio","family":"Kimura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Noriko","family":"Sato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroshi","family":"Matsuda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,8,19]]},"reference":[{"key":"70313_CR1","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1111\/epi.13709","volume":"58","author":"IE Scheffer","year":"2017","unstructured":"Scheffer, I. E. et al. ILAE classification of the epilepsies: Position paper of the ILAE commission for classification and terminology. Epilepsia 58, 512\u2013521. https:\/\/doi.org\/10.1111\/epi.13709 (2017).","journal-title":"Epilepsia"},{"key":"70313_CR2","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/S1474-4422(18)30454-X","volume":"18","author":"GBDE Collaborators","year":"2019","unstructured":"Collaborators, G. B. D. E. Global, regional, and national burden of epilepsy, 1990\u20132016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 18, 357\u2013375. https:\/\/doi.org\/10.1016\/S1474-4422(18)30454-X (2019).","journal-title":"Lancet Neurol."},{"key":"70313_CR3","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1111\/epi.13766","volume":"58","author":"AT Berg","year":"2017","unstructured":"Berg, A. T., Altalib, H. H. & Devinsky, O. Psychiatric and behavioral comorbidities in epilepsy: A critical reappraisal. Epilepsia 58, 1123\u20131130. https:\/\/doi.org\/10.1111\/epi.13766 (2017).","journal-title":"Epilepsia"},{"issue":"Suppl 4","key":"70313_CR4","doi-asserted-by":"publisher","first-page":"S26","DOI":"10.1016\/j.yebeh.2003.10.003","volume":"4","author":"F Gilliam","year":"2003","unstructured":"Gilliam, F., Hecimovic, H. & Sheline, Y. Psychiatric comorbidity, health, and function in epilepsy. Epilepsy Behav. 4(Suppl 4), S26-30 (2003).","journal-title":"Epilepsy Behav."},{"key":"70313_CR5","doi-asserted-by":"publisher","first-page":"699176","DOI":"10.3389\/fnins.2021.699176","volume":"15","author":"D Sone","year":"2021","unstructured":"Sone, D. Making the invisible visible: Advanced neuroimaging techniques in focal epilepsy. Front. Neurosci. 15, 699176. https:\/\/doi.org\/10.3389\/fnins.2021.699176 (2021).","journal-title":"Front. Neurosci."},{"key":"70313_CR6","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1111\/epi.13621","volume":"58","author":"EA van Vliet","year":"2017","unstructured":"van Vliet, E. A. et al. WONOEP appraisal: Imaging biomarkers in epilepsy. Epilepsia 58, 315\u2013330. https:\/\/doi.org\/10.1111\/epi.13621 (2017).","journal-title":"Epilepsia"},{"key":"70313_CR7","doi-asserted-by":"publisher","first-page":"684825","DOI":"10.3389\/fnins.2021.684825","volume":"15","author":"D Sone","year":"2021","unstructured":"Sone, D. & Beheshti, I. Clinical application of machine learning models for brain imaging in epilepsy: A review. Front. Neurosci. 15, 684825. https:\/\/doi.org\/10.3389\/fnins.2021.684825 (2021).","journal-title":"Front. Neurosci."},{"key":"70313_CR8","doi-asserted-by":"publisher","first-page":"1850","DOI":"10.3390\/jpm12111850","volume":"12","author":"D Sone","year":"2022","unstructured":"Sone, D. & Beheshti, I. Neuroimaging-based brain age estimation: A promising personalized biomarker in neuropsychiatry. J. Pers. Med. 12, 1850. https:\/\/doi.org\/10.3390\/jpm12111850 (2022).","journal-title":"J. Pers. Med."},{"key":"70313_CR9","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1038\/s41582-019-0244-7","volume":"15","author":"Y Hou","year":"2019","unstructured":"Hou, Y. et al. Ageing as a risk factor for neurodegenerative disease. Nat. Rev. Neurol 15, 565\u2013581. https:\/\/doi.org\/10.1038\/s41582-019-0244-7 (2019).","journal-title":"Nat. Rev. Neurol"},{"key":"70313_CR10","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1136\/jnnp-2017-317102","volume":"89","author":"J Allebone","year":"2018","unstructured":"Allebone, J., Kanaan, R. & Wilson, S. J. Systematic review of structural and functional brain alterations in psychosis of epilepsy. J. Neurol. Neurosurg. Psychiatry 89, 611\u2013617. https:\/\/doi.org\/10.1136\/jnnp-2017-317102 (2018).","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"70313_CR11","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1038\/s41380-019-0446-9","volume":"26","author":"D Sone","year":"2021","unstructured":"Sone, D. et al. Neuroimaging-based brain-age prediction in diverse forms of epilepsy: A signature of psychosis and beyond. Mol. Psychiatry 26, 825\u2013834. https:\/\/doi.org\/10.1038\/s41380-019-0446-9 (2021).","journal-title":"Mol. Psychiatry"},{"key":"70313_CR12","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1186\/1471-244X-14-75","volume":"14","author":"MJ Clancy","year":"2014","unstructured":"Clancy, M. J., Clarke, M. C., Connor, D. J., Cannon, M. & Cotter, D. R. The prevalence of psychosis in epilepsy; A systematic review and meta-analysis. BMC Psychiatry 14, 75. https:\/\/doi.org\/10.1186\/1471-244X-14-75 (2014).","journal-title":"BMC Psychiatry"},{"key":"70313_CR13","doi-asserted-by":"publisher","first-page":"1079295","DOI":"10.3389\/fpsyt.2022.1079295","volume":"13","author":"D Sone","year":"2022","unstructured":"Sone, D. Neurobiological mechanisms of psychosis in epilepsy: Findings from neuroimaging studies. Front. Psychiatry 13, 1079295. https:\/\/doi.org\/10.3389\/fpsyt.2022.1079295 (2022).","journal-title":"Front. Psychiatry"},{"key":"70313_CR14","doi-asserted-by":"publisher","DOI":"10.1111\/epi.17171","author":"J Royer","year":"2022","unstructured":"Royer, J. et al. Epilepsy and brain network hubs. Epilepsia https:\/\/doi.org\/10.1111\/epi.17171 (2022).","journal-title":"Epilepsia"},{"key":"70313_CR15","doi-asserted-by":"publisher","first-page":"102033","DOI":"10.1016\/j.nicl.2019.102033","volume":"24","author":"CL Chen","year":"2019","unstructured":"Chen, C. L. et al. Premature white matter aging in patients with right mesial temporal lobe epilepsy: A machine learning approach based on diffusion MRI data. NeuroImage. Clin. 24, 102033. https:\/\/doi.org\/10.1016\/j.nicl.2019.102033 (2019).","journal-title":"NeuroImage. Clin."},{"key":"70313_CR16","volume-title":"DSM-IV Diagnostic and Statistical Manual of Mental Disorders","author":"AP Association","year":"1994","unstructured":"Association, A. P. DSM-IV Diagnostic and Statistical Manual of Mental Disorders 4th edn. (American Psychiatric Press, 1994).","edition":"4"},{"key":"70313_CR17","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3389\/fnhum.2013.00042","volume":"7","author":"Z Cui","year":"2013","unstructured":"Cui, Z., Zhong, S., Xu, P., He, Y. & Gong, G. PANDA: A pipeline toolbox for analyzing brain diffusion images. Front. Hum. Neurosci. 7, 42. https:\/\/doi.org\/10.3389\/fnhum.2013.00042 (2013).","journal-title":"Front. Hum. Neurosci."},{"key":"70313_CR18","doi-asserted-by":"publisher","first-page":"630","DOI":"10.1016\/j.neuroimage.2007.02.049","volume":"36","author":"S Wakana","year":"2007","unstructured":"Wakana, S. et al. Reproducibility of quantitative tractography methods applied to cerebral white matter. NeuroImage 36, 630\u2013644. https:\/\/doi.org\/10.1016\/j.neuroimage.2007.02.049 (2007).","journal-title":"NeuroImage"},{"key":"70313_CR19","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1109\/RBME.2021.3107372","volume":"16","author":"S Mishra","year":"2023","unstructured":"Mishra, S., Beheshti, I. & Khanna, P. A review of neuroimaging-driven brain age estimation for identification of brain disorders and health conditions. IEEE Rev. Biomed. Eng. 16, 371\u2013385. https:\/\/doi.org\/10.1109\/RBME.2021.3107372 (2023).","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"70313_CR20","doi-asserted-by":"publisher","first-page":"102063","DOI":"10.1016\/j.nicl.2019.102063","volume":"24","author":"I Beheshti","year":"2019","unstructured":"Beheshti, I., Nugent, S., Potvin, O. & Duchesne, S. Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme. NeuroImage Clin. 24, 102063. https:\/\/doi.org\/10.1016\/j.nicl.2019.102063 (2019).","journal-title":"NeuroImage Clin."},{"key":"70313_CR21","doi-asserted-by":"publisher","first-page":"175","DOI":"10.3758\/BF03193146","volume":"39","author":"F Faul","year":"2007","unstructured":"Faul, F., Erdfelder, E., Lang, A. G. & Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 39, 175\u2013191 (2007).","journal-title":"Behav. Res. Methods"},{"key":"70313_CR22","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1038\/s41380-018-0098-1","volume":"24","author":"JH Cole","year":"2019","unstructured":"Cole, J. H., Marioni, R. E., Harris, S. E. & Deary, I. J. Brain age and other bodily \u201cages\u201d: Implications for neuropsychiatry. Mol. Psychiatry 24, 266\u2013281. https:\/\/doi.org\/10.1038\/s41380-018-0098-1 (2019).","journal-title":"Mol. Psychiatry"},{"key":"70313_CR23","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1038\/s41380-022-01897-w","volume":"28","author":"C Constantinides","year":"2023","unstructured":"Constantinides, C. et al. Brain ageing in schizophrenia: Evidence from 26 international cohorts via the ENIGMA Schizophrenia consortium. Mol. Psychiatry 28, 1201\u20131209. https:\/\/doi.org\/10.1038\/s41380-022-01897-w (2023).","journal-title":"Mol. Psychiatry"},{"key":"70313_CR24","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1038\/s41386-018-0298-z","volume":"44","author":"S Shahab","year":"2019","unstructured":"Shahab, S. et al. Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls. Neuropsychopharmacology 44, 898\u2013906. https:\/\/doi.org\/10.1038\/s41386-018-0298-z (2019).","journal-title":"Neuropsychopharmacology"},{"key":"70313_CR25","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.schres.2021.02.003","volume":"230","author":"J Wang","year":"2021","unstructured":"Wang, J. et al. White matter brain aging in relationship to schizophrenia and its cognitive deficit. Schizophr. Res. 230, 9\u201316. https:\/\/doi.org\/10.1016\/j.schres.2021.02.003 (2021).","journal-title":"Schizophr. Res."},{"key":"70313_CR26","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.2021.169","author":"YB Xi","year":"2021","unstructured":"Xi, Y. B. et al. Neuroimaging-based brain-age prediction of first-episode schizophrenia and the alteration of brain age after early medication. Br. J. Psychiatry https:\/\/doi.org\/10.1192\/bjp.2021.169 (2021).","journal-title":"Br. J. Psychiatry"},{"issue":"Suppl 9","key":"70313_CR27","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1111\/j.1528-1167.2007.01394.x","volume":"48","author":"S Nadkarni","year":"2007","unstructured":"Nadkarni, S., Arnedo, V. & Devinsky, O. Psychosis in epilepsy patients. Epilepsia 48(Suppl 9), 17\u201319. https:\/\/doi.org\/10.1111\/j.1528-1167.2007.01394.x (2007).","journal-title":"Epilepsia"},{"key":"70313_CR28","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1017\/S1092852916000250","volume":"21","author":"AM Kanner","year":"2016","unstructured":"Kanner, A. M. & Rivas-Grajales, A. M. Psychosis of epilepsy: A multifaceted neuropsychiatric disorder. CNS Spectr. 21, 247\u2013257. https:\/\/doi.org\/10.1017\/S1092852916000250 (2016).","journal-title":"CNS Spectr."},{"key":"70313_CR29","doi-asserted-by":"publisher","first-page":"556569","DOI":"10.3389\/fneur.2020.556569","volume":"11","author":"D Sone","year":"2020","unstructured":"Sone, D. et al. Disrupted white matter integrity and structural brain networks in temporal lobe epilepsy with and without interictal psychosis. Front. Neurol. 11, 556569. https:\/\/doi.org\/10.3389\/fneur.2020.556569 (2020).","journal-title":"Front. Neurol."},{"key":"70313_CR30","doi-asserted-by":"publisher","first-page":"688","DOI":"10.1136\/jnnp-2018-319396","volume":"90","author":"J Allebone","year":"2019","unstructured":"Allebone, J. et al. Bilateral volume reduction in posterior hippocampus in psychosis of epilepsy. J. Neurol. Neurosurg. Psychiatry 90, 688\u2013694. https:\/\/doi.org\/10.1136\/jnnp-2018-319396 (2019).","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"70313_CR31","doi-asserted-by":"publisher","DOI":"10.1002\/epi4.12645","author":"D Sone","year":"2022","unstructured":"Sone, D., Sato, N., Shigemoto, Y., Kimura, Y. & Matsuda, H. Upper cerebellar glucose hypermetabolism in patients with temporal lobe epilepsy and interictal psychosis. Epilepsia Open https:\/\/doi.org\/10.1002\/epi4.12645 (2022).","journal-title":"Epilepsia Open"},{"key":"70313_CR32","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1016\/S0140-6736(19)33064-8","volume":"395","author":"A Sen","year":"2020","unstructured":"Sen, A., Jette, N., Husain, M. & Sander, J. W. Epilepsy in older people. Lancet 395, 735\u2013748. https:\/\/doi.org\/10.1016\/S0140-6736(19)33064-8 (2020).","journal-title":"Lancet"},{"key":"70313_CR33","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.eplepsyres.2009.09.019","volume":"88","author":"C Ikonomidou","year":"2010","unstructured":"Ikonomidou, C. & Turski, L. Antiepileptic drugs and brain development. Epilepsy Res. 88, 11\u201322. https:\/\/doi.org\/10.1016\/j.eplepsyres.2009.09.019 (2010).","journal-title":"Epilepsy Res."},{"key":"70313_CR34","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2024-333703","author":"B Crespo Pimentel","year":"2021","unstructured":"Crespo Pimentel, B. et al. Sodium valproate is associated with cortical thinning of disease-specific areas in juvenile myoclonic epilepsy. J. Neurol. Neurosurg. Psychiatry https:\/\/doi.org\/10.1136\/jnnp-2024-333703 (2021).","journal-title":"J. Neurol. Neurosurg. Psychiatry"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-70313-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-70313-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-70313-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T09:06:05Z","timestamp":1724058365000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-024-70313-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,19]]},"references-count":34,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["70313"],"URL":"https:\/\/doi.org\/10.1038\/s41598-024-70313-w","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,19]]},"assertion":[{"value":"2 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 August 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"19156"}}