Evidence map›Paper›PMID 42119302›Full record

ArticleEBioMedicine2026

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

Abhinav Sharma, Tao Liu, Bahman Abdi-Sargezeh, Amelia Hahn, Maria Shcherbakova, Wolf-Julian Neumann, Simon Little, Philip Starr, Ashwini Oswal

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In one paragraph

Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Abhinav SharmaNuffield 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.
Tao LiuNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom.
Bahman Abdi-SargezehNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom.
Amelia HahnWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Maria ShcherbakovaWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Wolf-Julian NeumannMovement Disorder and Neuromodulation Unit, Department of Neurology, Charité - Universitätsmedizin, Berlin, Germany.
Simon LittleWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Philip StarrWeill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Ashwini OswalNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; MRC Brain Networks Dynamics Unit, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotor symptoms in Parkinson's disease (PD) may arise due to transient, network-wide neural dynamics that extend beyond beta-band oscillatory activity within the motor cortical-subthalamic nucleus (STN) circuit.

methodsWe applied a four-state Hidden Markov Model (HMM) to identify states of local and interregional oscillatory synchrony from chronic motor cortical and STN recordings (1046 h from 10 hemispheres) in five patients with PD (mean age 49 years), with concurrent measurements of bradykinesia, dyskinesia and tremor quantified using wearable sensors.

findingsNeural states exhibited distinct spectral and temporal features relating to symptom severity. Two states exhibited spectral signatures-particularly STN low and high gamma, STN delta/alpha, cortical beta, and cortico-STN beta coherence-that predicted worsening bradykinesia. STN beta oscillations were not consistent predictors of bradykinesia (p = 0.52), but did predict worsening tremor (p < 0.01) and also improvements in dyskinesia severity (p < 0.001), in a state specific manner. These states also displayed compensatory features associated with bradykinesia amelioration, including cortical delta/alpha activity, cortical high gamma, and cortico-STN high gamma coherence. Additionally, we identified a state, marked by STN beta without cortico-STN beta coherence, whose increased lifetimes and occurrence improved motor function (p < 0.001).

interpretationOur findings highlight the multidimensional nature of motor impairments in PD and suggest that adaptive interventions targeting state features-rather than single frequency bands-may offer new opportunities for personalised neuromodulation.

fundingAO: MRC Clinician Scientist Fellowship (MR/W024810/1), Rosetrees Trust/Race Against Dementia Team award, Oxford Hospitals Charity, and the Jon Moulton Charity Trust. TL: China Scholarship Council.

Indexed as

Motor CortexParkinson DiseaseSubthalamic NucleusAdultFemaleHumansHypokinesiaLongitudinal StudiesMaleMiddle AgedSeverity of Illness IndexTremorBradykinesiaNeural statesParkinson's disease

Identifiers

PMID42119302
PMCPMC13191631

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.