Evidence map›Paper›PMID 41163056›Full record

Trial reportJournal of neuroengineering and rehabilitation2025

The effects of combining anodal transcranial direct current stimulation with robot-assisted gait training on lower limb motor function and the motor cortex regulation of stroke patients.

Yujia Zhang, Yuqian Zhang, Beisi Zheng, Shishi Chen, Hong Yu, Lei Dai, Wanying Zhang, Haiping Huang, Xinyi Su, Manting Cao and 1 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
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.

Yujia Zhang *The Third Affiliated Hospital of Zhejiang Chinese Medical University, Rehabilitation Campus, Hangzhou, Zhejiang, China.
Yuqian Zhang *The Third Affiliated Hospital of Zhejiang Chinese Medical University, Rehabilitation Campus, Hangzhou, Zhejiang, China.
Beisi ZhengThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Shishi ChenThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Hong YuZhejiang Rehabilitation Medical Center, Hangzhou, Zhejiang, China.
Lei DaiFourth People's Hospital, Heifei, Anhui, China.
Wanying ZhangZhejiang Rehabilitation Medical Center, Hangzhou, Zhejiang, China.
Haiping HuangThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xinyi SuThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Manting CaoThe Third Affiliated Hospital of Zhejiang Chinese Medical University, Rehabilitation Campus, Hangzhou, Zhejiang, China.
Jianer ChenThe Third Affiliated Hospital of Zhejiang Chinese Medical University, Rehabilitation Campus, Hangzhou, Zhejiang, China. chenje@zcmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe therapeutic effect and underlying mechanism of combining transcranial direct current stimulation (tDCS) with robot-assisted gait training (RAGT) for stroke patients remain unclear.

methodsThe goal of this study is to examine whether anodal tDCS can augment the beneficial effects of RAGT on motor function of the lower limbs in stroke survivors. Furthermore, the study aims to explore the brain motor function network underlying regulation mechanism of this integrated therapeutic approach.The patients were randomly assigned to two groups: the anode tDCS + RAGT group (n = 22) and the RAGT group (n = 21). In the experimental group, patients underwent a 20-minute session of anodal tDCS followed by a 20-minute RAGT session. Conversely, the control group patients only received 20 min of RAGT. These sessions were conducted 5 days a week for a duration of 4 weeks. Hemoglobin alterations in the primary motor cortex (M1) and pre-motor cortex/supplementary motor cortex area (PMC/SMA) of patients at rest were measured using Functional Near Infrared Spectroscopy (fNIRS). Additionally, the Fugl-Meyer Lower Extremity Assessment (FMA-LE) was utilized to evaluate the functionality of the lower extremities.

resultsA total of 38 stroke patients successfully completed the study. Significant improvements were observed in the FMA-LE scores of both groups following treatment. Notably, the anode tDCS + RAGT group demonstrated a remarkable enhancement in FMA-LE compared to the control group. Furthermore, the combination of anodal tDCS + RAGT strengthened the functional connectivity between LM1-RPMC/SMA.

conclusionsThe combination of anodal tDCS and RAGT can enhance lower limb motor function in stroke patients, while also modulating the connectivity within the motor network. Additionally, the elevation of functional connectivity between the bilateral cerebral hemispheres, quantifiable through fNIRS, could potentially serve as a valuable biomarker in stroke patients.

trial registrationThis study has been registered in the Chinese Clinical Trial Registry (no. ChiCTR2400088222). This article has been registered on August 13th, 2024, and it was registered retrospectively.

Indexed as

GaitLower ExtremityMotor CortexRoboticsStrokeStroke RehabilitationTranscranial Direct Current StimulationAdultAgedCombined Modality TherapyFemaleHumansMaleMiddle AgedSpectroscopy, Near-InfraredAnodal tDCSFunctional near-infrared spectroscopyRobot-assisted gait trainingStroke

Identifiers

PMID41163056
PMCPMC12574300

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.