{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:59:58Z","timestamp":1773431998519,"version":"3.50.1"},"reference-count":67,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,1,9]],"date-time":"2025-01-09T00:00:00Z","timestamp":1736380800000},"content-version":"vor","delay-in-days":8,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Brain and Behavior"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    <jats:bold>Purpose<\/jats:bold>\n                    : Due to the highly individualized clinical manifestation of Parkinson's disease (PD), personalized patient care may require domain\u2010specific assessment of neurological disability. Evidence from magnetic resonance imaging (MRI) studies has proposed that heterogenous clinical manifestation corresponds to heterogeneous cortical disease burden, suggesting customized, high\u2010resolution assessment of cortical pathology as a candidate biomarker for domain\u2010specific assessment.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Method<\/jats:bold>\n                    : Herein, we investigate the potential of the recently proposed Mosaic Approach (MAP), a normative framework for quantifying individual cortical disease burden with respect to a population\u2010representative cohort, in predicting domain\u2010specific clinical progression. Using MRI and clinical data from 135 recently diagnosed PD patients from the Parkinson's Progression Markers Initiative, we first defined an extremity\u2010specific motor score. We then identified cortical regions corresponding to \u201cextremity functions\u201d and restricted MAP, respectively, and contrasted the explanatory power of the extremity\u2010specific MAP to unrestricted MAP. As control conditions, domain\u2010related but less specific general motor function and nondomain\u2010specific cognitive scores were considered. We also tested the predictive power of the restricted MAP in predicting disease progression over 1 and 3 years using support vector machines. The restricted, extremity\u2010specific MAP yielded higher explanatory power for extremity\u2010specific motor function at baseline as opposed to the unrestricted, whole\u2010brain MAP. On the contrary, for general motor function, the unrestricted, whole\u2010brain MAP yielded higher power.\n                  <\/jats:p>\n                  <jats:p>\n                    <jats:bold>Finding<\/jats:bold>\n                    : No associations were found for cognitive function. The extremity\u2010specific MAP predicted extremity\u2010specific motor progression over 1 and 3 years above chance level. The MAP framework allows for domain\u2010specific prediction of customized PD disease progression, which can inform machine learning, thereby contributing to personalized PD patient care.\n                  <\/jats:p>","DOI":"10.1002\/brb3.70289","type":"journal-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T02:45:24Z","timestamp":1736477124000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Domain\u2010Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1762-4824","authenticated-orcid":false,"given":"Marlene","family":"Tahedl","sequence":"first","affiliation":[{"name":"Department of Neuroradiology, School of Medicine and Health Technical University of Munich  Munich Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulrich","family":"Bogdahn","sequence":"additional","affiliation":[{"name":"Department of Neurology, University Hospital, School of Medicine University of Regensburg  Regensburg Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernadette","family":"Wimmer","sequence":"additional","affiliation":[{"name":"Department of Neurology, School of Medicine University of Innsbruck  Innsbruck Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8994-5593","authenticated-orcid":false,"given":"Dennis M.","family":"Hedderich","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, School of Medicine and Health Technical University of Munich  Munich Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan S.","family":"Kirschke","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, School of Medicine and Health Technical University of Munich  Munich Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claus","family":"Zimmer","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, School of Medicine and Health Technical University of Munich  Munich Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benedikt","family":"Wiestler","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, School of Medicine and Health Technical University of Munich  Munich Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,1,9]]},"reference":[{"key":"e_1_2_11_2_1","first-page":"38","article-title":"Localizationism to Neuroplasticity\u2014The Evolution of Metaphysical Neuroscience","volume":"60","author":"Acharya S.","year":"2012","journal-title":"Journal of Association of Physicians of 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