Evidence map›Paper›PMID 40533805›Full record

Trial reportJournal of neuroengineering and rehabilitation2025

Neural mechanisms underlying the improvement of gait disturbances in stroke patients through robot-assisted gait training based on QEEG and fNIRS: a randomized controlled study.

Xiang Li, Huihuang Zhang, Wanying Zhang, Jianing Wu, Lei Dai, Nasha Long, Tiefeng Jin, Lei Gu, Jianer Chen

Registry-linked trialAbstract 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. It is linked to trial NCT07057700 (Investigating the Mechanisms of Welwalk Robot in Restoring Motor Function of the Lower Extremities in Stroke Patients), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 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.

NCT07057700 nanot yet recruitingnot on this map

Investigating the Mechanisms of Welwalk Robot in Restoring Motor Function of the Lower Extremities in Stroke Patients

TypeinterventionalSponsorRuijin HospitalRan2025 to 2027Enrolled38ConditionsStroke, Walking ImpairmentArmswelwalk training, physical therapy
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Xiang LiThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China.
Huihuang ZhangThe Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310013, China.
Wanying ZhangNeurorehabilitation Department, Zhejiang Rehabilitation Medical Center, Hangzhou, Zhejiang, 310053, China.
Jianing WuDepartment of Rehabilitation Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, East Qingchun Road, Hangzhou, Zhejiang, 310016, China.
Lei DaiThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China.
Nasha LongDepartment of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China.
Tiefeng JinCancer Centre, Faculty of Health Sciences, University of Macau, Macau, SAR, 999078, China.
Lei GuDepartment of Rehabilitation, Ningbo Medical Center Lihuili Hospital, Ningbo, 315000, China.
Jianer ChenThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China. chenje@zcmu.edu.cn.

Funding

General Scientific Research Project of Zhejiang Department of Education Y202145964Hangzhou Science and Technology Development Plan Project 2020ZDSJ0881Key Scientific Research and Development Program of Zhejiang Province No. 2021C03050
6 · The paper itself

Abstract

backgroundRobot-assisted gait training is more effective in improving lower limb function and walking ability in stroke patients compared to conventional rehabilitation, but the neural mechanisms remain unclear. This study aims to explore the effects of robot-assisted gait training on lower limb motor dysfunction in stroke patients and its impact on neural activity in the motor cortex, providing objective evidence for clinical application.

methodsForty-two stroke patients meeting the inclusion criteria were randomly assigned to either the experimental group receiving robot-assisted gait training or the control group receiving conventional overground walking training. Assessments were conducted at baseline and after four weeks of treatment. Primary outcome measures included cortical activation measured by functional near-infrared spectroscopy (fNIRS), power ratio index (PRI), and delta/alpha power ratio (DAR) measured by quantitative electroencephalography (QEEG), and their correlation with the Fugl-Meyer Assessment (FMA) for lower limb motor function. Secondary outcome measures included FMA and Functional Ambulation Category (FAC).

resultsData from 36 patients (18 in each group) after four weeks of treatment were analyzed. The fNIRS results indicated better activation in the premotor and supplementary motor cortices in the robot-assisted gait training group compared to the control group. QEEG analysis showed reduced PRI and DAR in the premotor, supplementary motor, and primary motor cortices in the robot-assisted gait training group, suggesting improved motor function recovery in stroke patients. Clinical scale analysis revealed superior motor function recovery in the robot-assisted gait training group compared to the control group.

conclusionsRobot-assisted gait training significantly enhances activation in the primary motor cortex and supplementary motor area, potentially aiding stroke patients in recovering their ability to plan. PRI and DAR, particularly PRI, are valuable clinical indicators for assessing motor function recovery in stroke patients.

trial registrationChinese Clinical Trial Registry (ChiCTR2200060668). Registered on June 6, 2022; https://www.chictr.org.cn/showproj.html?proj=171610 .

Indexed as

Exercise TherapyGait Disorders, NeurologicRoboticsStrokeStroke RehabilitationAdultAgedElectroencephalographyFemaleGaitHumansMaleMiddle AgedMotor CortexSpectroscopy, Near-InfraredTreatment OutcomeFunctional near-infrared spectroscopyLower limb motor dysfunctionQuantitative electroencephalographyRehabilitation robotStroke

Identifiers

PMID40533805
PMCPMC12175367

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Registered trials

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.