Evidence map›Paper›PMID 39958859›Full record

ArticleBiomedical optics express2025

Effects of tactile feedback in post-stroke hand rehabilitation on functional connectivity and cortical activation: an fNIRS study.

Lingling Chen, Fanyao Meng, Congcong Huo, Guangjian Shao, Guoxin Pan, Xuemin Zhang, Simin Zhang, Zengyong Li

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Network-oriented neurorehabilitation after stroke: a paradigmatic approach.Journal of neuroengineering and rehabilitation · 2026
    Review
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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

8 authors.

Lingling ChenSchool of Artificial Intelligence, Hebei University of Technology, Tianjin, China.
Fanyao MengSchool of Artificial Intelligence, Hebei University of Technology, Tianjin, China.
Congcong HuoBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China.ORCID https://orcid.org/0000-0002-3198-0158
Guangjian ShaoBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China.
Guoxin PanBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China.
Xuemin ZhangDepartment of Intensive Rehabilitation, National Rehabilitation Hospital of National Research Center for Rehabilitation Technical Aids, Beijing, China.
Simin ZhangDepartment of Intensive Rehabilitation, National Rehabilitation Hospital of National Research Center for Rehabilitation Technical Aids, Beijing, China.
Zengyong LiBeijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke-induced hand motor impairments have a significant impact on the daily lives of patients. Motor rehabilitation with tactile feedback (TF) shows promise as an effective rehabilitation intervention; however, its neural mechanisms are still not fully understood. The main objective of this study was to examine the effect of tactile feedback on brain functional responses during a single hand movement session in post-stroke patients, using functional near-infrared spectroscopy (fNIRS). The changes in oxy- and deoxy-hemoglobin concentrations were recorded from the bilateral prefrontal, motor, and occipital areas in 13 post-stroke patients in the subacute recovery phase and 15 healthy controls during a hand-grasping task with TF and no-TF. The cortical activation responses, functional connectivity, and brain functional network properties were calculated to explore the specific cortical response in post-stroke patients and healthy controls during the two grasping tasks. The results showed that post-stroke patients exhibited increased hemodynamic responses in the motor cortex during grasping tasks with TF. However, brain activation in the prefrontal cortex, left sensorimotor cortex, and right premotor area was significantly lower in post-stroke patients compared to healthy controls (p < 0.05). Additionally, post-stroke patients exhibited poorer overall brain network function, with significant reductions in both clustering coefficient (p = 0.0016), reflecting local information transfer efficiency, and transitivity (p = 0.0053), representing global network integration. A significant positive correlation was observed between the clustering coefficient and grip strength metrics (r = 0.592, p = 0.033), as well as between transitivity and grip strength (r = 0.590, p = 0.034) in post-stroke patients, indicating that greater impairments were associated with reduced overall brain functional network transmission efficiency. These findings indicated that TF can modulate brain activity in areas associated with motor learning and sensorimotor integration, providing evidence for its potential as a valuable tool in stroke rehabilitation.

Identifiers

PMID39958859
PMCPMC11828458

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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.