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This study integrated multidimensional 7-Tesla structural Magnetic Resonance Imaging (MRI) features (gray matter volume, cortical thickness, etc.) using Support Vector Machine (SVM) to distinguish 98 PD patients from 74 healthy controls. The SVM model achieved 0.80 accuracy (sensitivity: 100%, F1-score: 0.85) and identified key biomarkers. Partial Least Squares Regression (PLSR) revealed these features correlated significantly with motor symptoms (Movement Disorder Society-Unified Parkinson\u2019s Disease Rating Scale [MDS-UPDRS]-III, tremor, rigidity, bradykinesia, postural instability;\n                    <jats:italic>P<\/jats:italic>\n                    \u2009&lt;\u20090.05) and non-motor symptoms (cognition, anxiety, depression, MDS-UPDRS-I;\n                    <jats:italic>P<\/jats:italic>\n                    \u2009&lt;\u20090.05). The findings highlight the potential of 7-Tesla MRI and machine learning as diagnostic tools for PD, while also providing insights into its pathophysiology. This approach may aid in detection and understanding of PD\u2019s motor and non-motor manifestations.\n                  <\/jats:p>","DOI":"10.1038\/s41531-026-01370-3","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T17:55:46Z","timestamp":1777485346000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Support vector machine-driven Parkinson\u2019s disease identification: a 7-Tesla multidimensional structural MRI approach"],"prefix":"10.1038","volume":"12","author":[{"given":"Yongqin","family":"Xiong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhixuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingliang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoxuan","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caohui","family":"Duan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayu","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuchen","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhongbao","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Lou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,4,29]]},"reference":[{"key":"1370_CR1","doi-asserted-by":"publisher","first-page":"548","DOI":"10.1001\/jama.2019.22360","volume":"323","author":"MJ Armstrong","year":"2020","unstructured":"Armstrong, M. 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