Evidence map›Paper›PMID 40046673›Full record

ArticleFrontiers in neurology2025

A signature combining brain functional connectivity with executive and motor function for general cognitive decline in Parkinson's disease.

Jin Wang, Zhilin Shu, Yue Wang, Jiewei Lu, Xinyuan Zhang, Yuanyuan Cheng, Yang Yu, Jianda Han, Zhizhong Zhu, Ningbo Yu and 1 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

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

11 authors.

Jin Wang *Clinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.
Zhilin Shu *College of Artificial Intelligence, Nankai University, Tianjin, China.
Yue WangClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.
Jiewei LuCollege of Artificial Intelligence, Nankai University, Tianjin, China.
Xinyuan ZhangClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.
Yuanyuan ChengDepartment of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China.
Yang YuDepartment of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China.
Jianda HanCollege of Artificial Intelligence, Nankai University, Tianjin, China.
Zhizhong ZhuDepartment of Rehabilitation Medicine, Tianjin Huanhu Hospital, Tianjin, China.
Ningbo YuCollege of Artificial Intelligence, Nankai University, Tianjin, China.
Jialing WuClinical College of Neurology, Neurosurgery and Neurorehabilitation, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cognitive decline is common in Parkinson's disease (PD). Reliance on neuropsychological testing alone can lead to delayed identification, and an objective and comprehensive approach is needed in clinical practice. We assessed brain functional connectivity during PD-MCI (mild cognitive impairment) and PD-NC (normal cognition) patients, and healthy controls (HC) completing the Stroop color-word test (SCWT) using functional near-infrared spectroscopy (fNIRS), and explored the predictive value of combining relevant brain function and behavioral information for general cognitive decline in PD. Methods: Nineteen patients with PD-MCI, 21 with PD-NC and 33 age-matched HC were recruited. Group differences in executive performance and prefrontal functional connectivity were analyzed. Receiver operating characteristic analysis was used to measure the value of combining brain functional connectivity with executive and motor function in predicting PD-MCI. Results: During the color-word incongruent test, PD-MCI patients had significantly lower correct rate than HC and PD-NC patients. Meanwhile, PD-MCI patients exhibited significantly increased regional strength of the left and right prefrontal cortex (RS Conclusion: We proposed a signature combining brain functional connectivity with executive and motor function for general cognitive decline in PD, which could provide new insights into early detection and intervention of this problem.

Indexed as

cognitive declinefunctional connectivityfunctional near-infrared spectroscopyParkinson’s diseaseStroop color-word test

Identifiers

PMID40046673
PMCPMC11879828

What OpenQuestion holds

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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 OpenQuestion graph.