Evidence map›Paper›PMID 37250399›Full record

ArticleFrontiers in neuroscience2023

Functional-oriented, portable brain-computer interface training for hand motor recovery after stroke: a randomized controlled study.

Jianghong Fu, Shugeng Chen, Xiaokang Shu, Yifang Lin, Zewu Jiang, Dongshuai Wei, Jiajia Gao, Jie Jia

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 7 pooled it
3.9field-weighted citation impact, top 6% 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.

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

21 citing papers in PubMed, 7 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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  13. Brain-Computer Interfaces for Stroke Motor Rehabilitation.Bioengineering (Basel, Switzerland) · 2025
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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 at 4 institutions in 1 country.

Jianghong Fu *Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Shugeng Chen *Department of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Xiaokang ShuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Yifang LinDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Zewu JiangDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Dongshuai WeiDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Jiajia GaoDepartment of Rehabilitation Medicine, Shanghai No. 3 Rehabilitation Hospital, Shanghai, China.
Jie JiaDepartment of Rehabilitation Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Fudan University · CNHuashan Hospital · CNShanghai Jiao Tong University · CNShanghai Sunshine Rehabilitation Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brain-computer interfaces (BCIs) have been proven to be effective for hand motor recovery after stroke. Facing kinds of dysfunction of the paretic hand, the motor task of BCIs for hand rehabilitation is relatively single, and the operation of many BCI devices is complex for clinical use. Therefore, we proposed a functional-oriented, portable BCI equipment and explored the efficiency of hand motor recovery after a stroke. Materials and methods: Stroke patients were randomly assigned to the BCI group and the control group. The BCI group received BCI-based grasp/open motor training, while the control group received task-oriented guidance training. Both groups received 20 sessions of motor training in 4 weeks, and each session lasted for 30 min. The Fugl-Meyer assessment of the upper limb (FMA-UE) was applied for the assessment of rehabilitation outcomes, and the EEG signals were obtained for processing. Results: The progress of FMA-UE between the BCI group [10.50 (5.75, 16.50)] and the control group [5.00 (4.00, 8.00)] was significantly different ( Conclusion: Targeted hand movement and two motor task modes, namely grasp and open, to be applied in a BCI design may be suitable in stroke patients with hand dysfunction. The functional-oriented, portable BCI training can promote hand recovery after a stroke, and it is expected to be widely used in clinical practice. The lateral index change of inter-hemispheric balance may be the mechanism of motor recovery. Trial registration number: ChiCTR2100044492.

Indexed as

brain-computer interfaceshand rehabilitationmotor recoveryRCTstroke

Identifiers

PMID37250399
PMCPMC10213744
OpenAlexW4376279441

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.