Dynamic neural states underpin motor symptom severity in Parkinson's disease: a longitudinal analysis of chronic cortico-subthalamic nucleus recordings.

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Title: Dynamic neural states underpin motor symptom severity in Parkinson's disease: a longitudinal analysis of chronic cortico-subthalamic nucleus recordings.
Authors: Sharma A; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom. Electronic address: abhinav.sharma@ndcn.ox.ac.uk., Liu T; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom., Abdi-Sargezeh B; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom., Hahn A; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA., Shcherbakova M; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA., Neumann WJ; Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin, Berlin, Germany., Little S; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA., Starr P; Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA., Oswal A; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom.
Source: EBioMedicine [EBioMedicine] 2026 Jun; Vol. 128, pp. 106293. Date of Electronic Publication: 2026 May 12.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101647039 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-3964 (Electronic) Linking ISSN: 23523964 NLM ISO Abbreviation: EBioMedicine Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2352-3964
DOI:10.1016/j.ebiom.2026.106293