Evidence map›Paper›PMID 39073240›Full record

ArticleCNS neuroscience & therapeutics2024

Identifying biomarkers related to motor function in chronic stroke: A fNIRS and TMS study.

Guiyuan Cai, Jiayue Xu, Cailing Zhang, Junbo Jiang, Gengbin Chen, Jialin Chen, Quan Liu, Guangqing Xu, Yue Lan

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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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

9 authors.

Guiyuan CaiDepartment of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Jiayue XuDepartment of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Cailing ZhangDepartment of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Junbo JiangDepartment of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.
Gengbin ChenPostgraduate Research Institute, Guangzhou Sport University, Guangzhou, China.
Jialin ChenPostgraduate Research Institute, Guangzhou Sport University, Guangzhou, China.
Quan LiuPostgraduate Research Institute, Guangzhou Sport University, Guangzhou, China.
Guangqing XuDepartment of Rehabilitation Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yue LanDepartment of Rehabilitation Medicine, School of Medicine, The Second Affiliated Hospital, South China University of Technology, Guangzhou, China.ORCID 0000-0003-3367-7002

Funding

Guangzhou Municipal Science and Technology Program 202201020378Guangzhou Municipal Science and Technology Program 202206010197National Science Foundation of China 81974357National Science Foundation of China 82072548Natural Key Research and Development Program of China 2022YFC2009700
6 · The paper itself

Abstract

backgroundUpper limb motor impairment commonly occurs after stroke, impairing quality of life. Brain network reorganization likely differs between subgroups with differing impairment severity. This study explored differences in functional connectivity (FC) and corticospinal tract (CST) integrity between patients with mild/moderate versus severe hemiplegia poststroke to clarify the neural correlates underlying motor deficits.

methodSixty chronic stroke patients with upper limb motor impairment were categorized into mild/moderate and severe groups based on Fugl-Meyer scores. Resting-state FC was assessed using functional near-infrared spectroscopy (fNIRS) to compare connectivity patterns between groups across motor regions. CST integrity was evaluated by inducing motor evoked potentials (MEP) via transcranial magnetic stimulation.

resultsCompared to the mild/moderate group, the severe group exhibited heightened premotor cortex-primary motor cortex (PMC-M1) connectivity (t = 4.56, p < 0.01). Absence of MEP was also more frequent in the severe group (χ

conclusionDistinct patterns of connectivity and corticospinal integrity exist between stroke subgroups with differing impairments. Strengthened connectivity potentially indicates recruitment of additional motor resources to compensate for damage. These findings elucidate the neural correlates underlying motor deficits poststroke and could guide personalized, network-based therapies targeting predictive biomarkers to improve rehabilitation outcomes.

Indexed as

Evoked Potentials, MotorPyramidal TractsSpectroscopy, Near-InfraredStrokeTranscranial Magnetic StimulationAdultAgedBiomarkersChronic DiseaseFemaleHumansMaleMiddle AgedMotor CortexBiomarkersbiomarkerfunctional near‐infrared spectroscopymachine learningmotor impairmentstroke

Identifiers

PMID39073240
PMCPMC11284241

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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.