{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T03:17:56Z","timestamp":1787800676375,"version":"build-2784847793"},"reference-count":48,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100003977","name":"Israel Science Foundation","doi-asserted-by":"publisher","award":["1157\/20"],"award-info":[{"award-number":["1157\/20"]}],"id":[{"id":"10.13039\/501100003977","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["movementdisorders.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Movement Disorders"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Parkinson's disease (PD) is clinically heterogeneous, with substantial variability in motor and cognitive features. Conventional clinical scales provide limited insight into underlying neural mechanisms and show poor longitudinal stability. Scalp electroencephalography (EEG) offers a direct and scalable measure of brain activity that may support mechanistically informed stratification of PD, yet EEG\u2010based subtyping remains largely unexplored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To determine whether EEG\u2010derived features can identify neurophysiological subtypes of PD and to examine their clinical and genetic correlates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>EEG recordings were obtained from 116 PD patients and 30 healthy controls during resting state and treadmill walking. Spectral power (theta\u2013gamma), aperiodic components, and temporal complexity measures were extracted across cortical regions. Multiple dimensionality reduction and unsupervised clustering approaches were evaluated, with internal validity and stability assessed using leave\u2010one\u2010out resampling. Clinical, cognitive, gait, and genetic features were compared across clusters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A three\u2010cluster solution demonstrated optimal separation and robustness across models. The clusters exhibited distinct neurophysiological profiles characterized by differences in spectral slowing, signal complexity, and aperiodic activity across both behavioral states. Clusters did not differ in motor severity, gait speed, or disease duration, but showed differences in cognitive performance and genetic composition. One cluster demonstrated preserved cognition and included more LRRK2\u2010mutation carriers, whereas two cognitively impaired clusters displayed divergent electrophysiological signatures despite similar clinical profiles.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>\n                      EEG\u2010based clustering reveals robust neurophysiological subtypes of PD that capture heterogeneity not reflected by standard clinical measures. These findings support EEG as a scalable tool for mechanism\u2010based stratification, with implications for prognosis and precision clinical trials. \u00a9 2026 The Author(s).\n                      <jats:italic>Movement Disorders<\/jats:italic>\n                      published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mds.70348","type":"journal-article","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T10:44:18Z","timestamp":1778064258000},"page":"2107-2116","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Electroencephalography\u2010Based Clustering Reveals Robust Neurophysiological Subtypes in Parkinson's Disease"],"prefix":"10.1002","volume":"41","author":[{"given":"Daniel","family":"Vered","sequence":"first","affiliation":[{"name":"Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center  Tel Aviv Israel"},{"name":"Sagol School of Neuroscience, Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zoya","family":"Katzir","sequence":"additional","affiliation":[{"name":"Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel Aviv Sourasky Medical Center  Tel Aviv Israel"},{"name":"Department of Neurology Gray Faculty of Medical and Health Sciences, Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Idan Daniel","family":"Grosbard","sequence":"additional","affiliation":[{"name":"Sagol School of Neuroscience, Tel Aviv University  Tel Aviv Israel"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7629-8120","authenticated-orcid":false,"given":"Avner","family":"Thaler","sequence":"additional","affiliation":[{"name":"Laboratory of Early 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