Evidence map›Paper›PMID 41772798›Full record

ArticleJournal of movement disorders2026

Cognitive Impairment Alters Cortical Adaptation and Gait Regulation During Obstacle Walking in Patients With Parkinson's Disease: Evidence From Temporal fNIRS and Gait Dynamics.

Pei-Ling Wong, Yea-Ru Yang, Chen-Wei Hung, Nai-Chen Yeh, Shih-Jung Cheng, Ray-Yau Wang

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Article in Journal of movement disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pei-Ling WongCognitive Intelligence and Precision Healthcare Research Center, National Central University, Taoyuan, Taiwan.
Yea-Ru YangDepartment of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chen-Wei HungDepartment of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Nai-Chen YehDepartment of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shih-Jung ChengDepartment of Neurology, Mackay Memorial Hospital, Taipei, Taiwan.
Ray-Yau WangDepartment of Physical Therapy and Assistive Technology, National Yang Ming Chiao Tung University, Taipei, Taiwan. rywang@nycu.edu.tw.

Funding

National Health Research Institutes NHRI-EX-111-10913PINational Science and Technology Council MOST109-2314-B-010-035-MY3
6 · The paper itself

Abstract

objectiveObstacle crossing during walking poses a major risk of falling among individuals with Parkinson's disease (PD), particularly those with cognitive impairment. Although cognitive decline worsens gait, its specific effects on gait performance and cortical activation during obstacle walking remain unclear. The dynamic interaction between brain activity and gait across different walking phases is especially understudied in PD patients with mild cognitive impairment (PD-MCI) compared with those without cognitive impairment (PD-non-MCI).

methodsNineteen PD-non-MCI and fifteen PD-MCI participants performed obstacle walking, and functional near-infrared spectroscopy was used to measure activation in the prefrontal cortex (PFC), supplementary motor area (SMA), and premotor cortex (PMC). Gait parameters (speed, cadence, stride length, and stride time) and obstacle crossing metrics (crossing speed, stride length, stride time, and step width) were analyzed across early (5-20 s) and late (20-40 s) phases. Generalized estimating equations were used to examine group, phase, and interaction effects. Brain-gait associations were assessed using Spearman's correlations.

resultsPD-MCI participants exhibited poorer obstacle walking performance than PD-non-MCI participants, but no significant phase-related behavioral change was observed. Both groups showed higher PFC, SMA, and PMC activation during the early phase, reflecting greater neural engagement at task onset. However, SMA and PMC activation decreased more steeply across phases in the PD-MCI group. In PD-MCI patients, obstacle walking performance correlated negatively with early-phase PMC and late-phase PFC activation.

conclusionPD-MCI participants had poorer gait and greater cortical activation, indicating increased neural effort and reduced efficiency. These.

resultshighlight altered brain-gait coupling in PD-MCI patients and emphasize the need for interventions that increase neural efficiency during complex walking.

Indexed as

Brain activityFunctional near-infrared spectroscopyMild cognitive impairmentObstacle walkingParkinson’s disease

Identifiers

PMID41772798
PMCPMC13461284

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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.