Evidence map›Paper›PMID 42377454›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2026

Levodopa-induced dyskinesia is associated with worse gait and balance in Parkinson's disease.

Gabriele Imbalzano, Federico D'Agata, Claudia Ledda, Carlo Alberto Artusi, Marco Laudadio, Alberto Romagnolo, Mario Giorgio Rizzone, Leonardo Lopiano, Maurizio Zibetti, Marco Bozzali

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Article in Journal of neural transmission (Vienna, Austria : 1996), 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gabriele ImbalzanoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy. gabriele.imbalzano@unito.it.ORCID http://orcid.org/0000-0002-4842-529X
Federico D'AgataDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Claudia LeddaDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Carlo Alberto ArtusiDepartment of Neuroscience Biomedicine Movement, University of Verona, P. le L.A. Scuro 10, Verona, Italy.
Marco LaudadioDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Alberto RomagnoloDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Mario Giorgio RizzoneDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Leonardo LopianoDepartment of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Maurizio Zibetti *Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.
Marco Bozzali *Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10126, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Levodopa-induced dyskinesia (LID) is a major source of disability in advanced Parkinson's disease (PD), whose impact on gait and balance across medication states still remains unclear. We aimed to compare gait and balance performance between comparable dyskinetic (Dysk-matched) and non-dyskinetic (No-Dysk) PD patients in OFF and ON state, and to explore neural correlates using structural and resting-state functional MRI (rs-fMRI). PD patients were consecutively enrolled among candidates for device-aided therapies. Gait and balance were assessed using validated wearable inertial sensors during a 2-minute walk test, a 3-meters Timed-Up-and-Go (TUG), and a sway test, providing spatiotemporal gait parameters, variability, asymmetry, and postural sway metrics. Groups were compared using propensity score matching (PSM) for age, sex, disease duration, motor severity and axial disability. A subgroup underwent exploratory investigation with structural and rs-fMRI collected in ON state. After PSM (22 pairs), Dysk-matched group showed slower gait speed (p = 0.007), shorter stride length (p = 0.006), longer double support (p = 0.047), and prolonged TUG (p = 0.049) in the OFF state. Dysk-matched patients showed increased sway from OFF to ON (p = 0.030). Neuroimaging (10 Dysk-matched, 9 No-Dysk) revealed increased functional connectivity in sensorimotor regions and reduced SMA connectivity within a cerebellar network in Dysk-matched patients, without structural difference. Overall, the association of LID with impaired gait and postural control even in the OFF state is consistent with the hypothesis of broader motor network dysfunction beyond overt involuntary movements.

Indexed as

DyskinesiaGaitParkinson’s diseaseResting-state fMRI

Identifiers

PMID42377454

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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 OpenQuestion graph.