{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T05:17:59Z","timestamp":1787894279666,"version":"build-2784847793"},"reference-count":26,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T00:00:00Z","timestamp":1787875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:p>\n                    Idiopathic REM sleep behavior disorder (iRBD) is a prodromal stage of alpha-synucleinopathies, and accurate identification of early dopaminergic dysfunction is clinically important. This study evaluated whether deep learning\u2013based susceptibility map-weighted imaging (SMwI) can predict dopamine transporter (DAT) positron emission tomography (PET) abnormalities in patients with iRBD. We retrospectively included 74 patients who underwent both SMwI and\n                    <jats:sup>18<\/jats:sup>\n                    F-FP-CIT PET and applied a deep learning model to detect the absence of dorsal nigral hyperintensity. Diagnostic performance was assessed at patient and hemisphere levels. Deep learning\u2013based SMwI showed a sensitivity of 78%, specificity of 66.7%, and accuracy of 73% for predicting DAT PET abnormalities. Bilateral SMwI abnormalities strongly correlated with DAT PET positivity (24\/26; 92.3%), whereas DAT PET abnormalities were present in 35.5% of patients with visually unremarkable SMwI. These findings indicate that AI-assisted SMwI provides moderate agreement with DAT PET and may serve as a practical triage or follow-up tool for identifying presynaptic dopaminergic dysfunction in iRBD, particularly where access to DAT PET is limited.\n                  <\/jats:p>","DOI":"10.3389\/fneur.2026.1756028","type":"journal-article","created":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T04:34:39Z","timestamp":1787891679000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep learning-based susceptibility map-weighted imaging analysis of dorsal nigral hyperintensity as a surrogate for dopamine transporter positron emission tomography in patients with idiopathic rapid eye movement sleep behavior disorder"],"prefix":"10.3389","volume":"17","author":[{"given":"Beomseok","family":"Sohn","sequence":"first","affiliation":[{"name":"Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jae Rim","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Neurology, Chungnam National University Sejong Hospital","place":["Sejong, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hwan","family":"Heo","sequence":"additional","affiliation":[{"name":"Heuron Co., Ltd.","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Soohwa","family":"Song","sequence":"additional","affiliation":[{"name":"Heuron Co., Ltd.","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eung Yeop","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eun Yeon","family":"Joo","sequence":"additional","affiliation":[{"name":"Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine","place":["Seoul, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,8,28]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"zsx071","DOI":"10.1093\/sleep\/zsx071","article-title":"Prodromal parkinsonism and neurodegenerative risk stratification in REM sleep behavior disorder","volume":"40","author":"Barber","year":"2017","journal-title":"Sleep"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"e89741","DOI":"10.1371\/journal.pone.0089741","article-title":"Neurodegenerative disorder risk in idiopathic REM sleep behavior disorder: study in 174 patients","volume":"9","author":"Iranzo","year":"2014","journal-title":"PLoS One"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1136\/jnnp-2020-322875","article-title":"Clinical trials in REM sleep behavioural disorder: challenges and opportunities","volume":"91","author":"Videnovic","year":"2020","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1007\/s11910-022-01171-0","article-title":"Predictors of RBD progression and conversion to synucleinopathies","volume":"22","author":"de Natale","year":"2022","journal-title":"Curr Neurol Neurosci Rep"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"1398","DOI":"10.3390\/brainsci13101398","article-title":"Brain MRI biomarkers in isolated rapid eye movement sleep behavior disorder: where are we? 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