Evidence map›Paper›PMID 42182565›Full record

ArticleFrontiers in aging neuroscience2026

Potential for distinguishing the parkinsonian subtype of multiple system atrophy from Parkinson's disease: a three-dimensional gait analysis study.

Reyisha Taximaimaiti, Sheng Cai, Hongyan Li

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 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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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Reyisha TaximaimaitiDepartment of Neurology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
Sheng CaiCollege of Life Sciences and Technology, Xinjiang University, Urumqi, Xinjiang, China.
Hongyan LiDepartment of Neurology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Distinguishing the parkinsonian subtype of multiple system atrophy (MSA-P) from Parkinson's disease (PD) at an early stage was a challenge, and gait analysis based on wearable sensors offers a reliable method to quantify gait parameters. In this study, we used a three-dimensional gait motion capture system based on wearable sensors to identify potential gait-based biomarkers that might assist in distinguishing MSA-P from PD. Methods: Participants were enrolled in this observational study from the Department of Neurology at the People's Hospital of Xinjiang Uygur Autonomous Region from June 2024 to October 2025 and were required to complete the timed up and go (TUG) test, Cognitive Load Test, and Endogenous Beat Test according to our instructions. Multivariate analysis of covariance (MANCOVA) was used to conduct overall comparisons of gait characteristics among groups, and predictive ability was tested through 5-fold cross-validated receiver operating characteristic curves and sensitivity analysis. Results: A total of 74 PD patients, 33 MSA-P patients, and 79 healthy controls (HCs) were enrolled in this study. When PD patients and MSA-P patients exhibited similar clinical performance and drug dosage, MSA-P patients had a 4.9-year younger age of symptom onset and a duration of symptoms that was 19.4 months shorter. Both PD patients and MSA-P patients exhibited reduced stride length, reduced velocity, reduced bilateral step length, anterior pelvic tilt, and broadly reduced range of motion (ROM) of the pelvis and the lower limb joints compared to HCs. The negative impact of the Cognitive Load Test on gait seemed to be far greater than that of the Endogenous Beat Test, and PD patients might be more sensitive to the Endogenous Beat Test than MSA-P patients. The ROM of hip flexion-extension in the Endogenous Beat Test demonstrated the most favorable discriminative and potential predictive capacity for distinguishing MSA-P patients from PD patients, and the results were stable across different subgroups of patients according to sensitivity analysis. Discussion: The ROM of hip flexion-extension in the Endogenous Beat Test might have a potential capacity to distinguish MSA-P patients from PD patients. Three-dimensional gait analysis based on wearable sensors might hold considerable application potential for the clinical differential diagnosis of neurodegenerative diseases.

Indexed as

cognitive load testendogenous beat testgait analysismultiple system atrophyParkinson’s diseaseTUG testwearable sensors

Identifiers

PMID42182565
PMCPMC13190579

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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.