Evidence map›Paper›PMID 37003976›Full record

Trial reportBMC neurology2023

Effects of motor imagery based brain-computer interface on upper limb function and attention in stroke patients with hemiplegia: a randomized controlled trial.

Xiaolu Liu, Wendong Zhang, Weibo Li, Shaohua Zhang, Peiyuan Lv, Yu Yin

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07553416 (A Prospective, Randomized, Parallel-Controlled Clinical Study Protocol of Non-Invasive Brain Computer Interface Robot Based on Mirror Rehabilitation Theory in the Treatment of Upper Limb Motor Function Disorder After Stroke), which is not on this map. Cited by 50 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 17 pooled it
11.3field-weighted citation impact, top 1% of its field
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.

NCT07553416 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Prospective, Randomized, Parallel-Controlled Clinical Study Protocol of Non-Invasive Brain Computer Interface Robot Based on Mirror Rehabilitation Theory in the Treatment of Upper Limb Motor Function Disorder After Stroke

TypeinterventionalSponsorBeijing Tiantan HospitalRan2026 to 2027Enrolled40ConditionsIschemic Stroke, Intracranial Haemorrhage, Brain-Computer Interfaces, Rehabilitation ExerciseArmsBrain computer interface-robotic mirror therapy
3 · Its place in the literature

Who cites it

50 citing papers in PubMed, 17 syntheses or guidelines pooled it, 64 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Xiaolu Liu *College of Nursing and Rehabilitation, North China University of Science and Technology, Tangshan, 063210, China.
Wendong Zhang *Department of Rehabilitation, Hebei General Hospital, Shijiazhuang, 050000, China.
Weibo LiDepartment of Gastrointestinal Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China. liweibo-99@163.com.
Shaohua ZhangDepartment of Medical, The Eighth People's Hospital of Hebei Province, Shijiazhuang, 050000, China.
Peiyuan LvDepartment of Neurology, Hebei General Hospital, Shijiazhuang, 050000, China.
Yu YinDepartment of Rehabilitation, Hebei General Hospital, Shijiazhuang, 050000, China. yinyu-99@163.com.
Hebei General Hospital · CNHebei Medical University · CNHospital of Hebei Province · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeeking positive and comprehensive rehabilitation methods after stroke is an urgent problem to be solved, which is very important to improve the dysfunction of stroke. The aim of this study was to investigate the effects of motor imagery-based brain-computer interface training (MI-BCI) on upper limb function and attention in stroke patients with hemiplegia.

methodsSixty stroke patients with impairment of upper extremity function and decreased attention were randomly assigned to the control group (CR group) or the experimental group (BCI group) in a 1:1 ratio. Patients in the CR group received conventional rehabilitation. Patients in the BCI group received 20 min of MI-BCI training five times a week for 3 weeks (15 sessions) in addition to conventional rehabilitation. The primary outcome measures were the changes in Fugl-Meyer Motor Function Assessment of Upper Extremities (FMA-UE) and Attention Network Test (ANT) from baseline to 3 weeks.

resultsAbout 93% of the patients completed the allocated training. Compared with the CR group, among those in the BCI group, FMA-UE was increased by 8.0 points (95%CI, 5.0 to 10.0; P < 0.001). Alert network response time (32.4ms; 95%CI, 58.4 to 85.6; P < 0.001), orienting network response (5.6ms; 95%CI, 29.8 to 55.8; P = 0.010), and corrects number (8.0; 95%CI, 17.0 to 28.0; P < 0.001) also increased in the BCI group compared with the CR group. Additionally, the executive control network response time (- 105.9ms; 95%CI, - 68.3 to - 23.6; P = 0.002), the total average response time (- 244.8ms; 95%CI, - 155.8 to - 66.2; P = 0.002), and total time (- 122.0ms; 95%CI, - 80.0 to - 35.0; P = 0.001) were reduced in the BCI group compared with the CR group.

conclusionMI-BCI combined with conventional rehabilitation training could better enhance upper limb motor function and attention in stroke patients. This training method may be feasible and suitable for individuals with stroke.

trial registrationThis study was registered in the Chinese Clinical Trial Registry with Portal Number ChiCTR2100050430(27/08/2021).

Indexed as

Brain-Computer InterfacesStrokeStroke RehabilitationElectroencephalographyHemiplegiaHumansRecovery of FunctionUpper ExtremityAttentionBrain-computer interfaceMotor imageryStrokeUpper extremity

Identifiers

PMID37003976
PMCPMC10064693
OpenAlexW4362524058

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.