Evidence map›Paper›PMID 29761128›Full record

ReviewAnnals of clinical and translational neurology2018

Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.

María A Cervera, Surjo R Soekadar, Junichi Ushiba, José Del R Millán, Meigen Liu, Niels Birbaumer, Gangadhar Garipelli

5 registry-linked trialsOpen access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annals of clinical and translational neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 5 registered trials, which are not on this map. Cited by 231 papers, 17 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
231citing papers in PubMed, 17 pooled it
22.0field-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.

NCT04123808 nawithdrawnnot on this mapstarted 2019, after this paper: background citation

Dosing Effects of an Upper Extremity Rehabilitation Program Using a Brain-Computer Interface Mediated Robotic Hand Orthosis for Chronic Stroke Patients: IpsiHand System

TypeinterventionalSponsorColumbia UniversityRan2019 to 2020Enrolled0ConditionsStroke, HemiparesisArmsIpsiHand Treatment
NCT04338971 nacompletednot on this map

Ipsihand Device Use in Stroke Patients to Assess Motor Recovery of the Upper Extremity and Functional Outcomes

TypeinterventionalSponsorNeurolutions, Inc.Ran2017 to 2020Enrolled24ConditionsStrokeArmsIpsiHand Therapy
NCT04353297 nacompletednot on this mapstarted 2021, after this paper: background citation

The PROMOTOER: a BCI -Based Intervention That Promotes Upper Limb Functional Motor Recovery. A Randomized Clinical Trial to Test Long-term Efficacy and to Identify Determinants of Response to Intervention in Subacute Stroke Patients

TypeinterventionalSponsorI.R.C.C.S. Fondazione Santa LuciaRan2021 to 2023Enrolled49ConditionsStroke, Motor DisordersArmsEEG-based BCI system for (hand) Motor Imagery training, Motor Imagery training
NCT06179745 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Study of Functional Electrical Stimulation With Assistive Support Driven by a Brain-Computer Interface on the Upper Limb Rehabilitation of Chronic Stroke Patients

TypeinterventionalSponsorUniversity of EssexRan2022 to 2025Enrolled32ConditionsStroke, Cerebrovascular, Hemiplegia and Hemiparesis, Stroke/Brain AttackArmsEEG-based brain-computer interface, Sham EEG-based brain-computer interface, Functional Electrical Stimulation, Active hand orthosis
NCT07327710 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Efficacy and Safety of Non-Invasive Brain-Computer Interface Combined With Transcranial Electrical Stimulation in the Treatment of Peripheral Facial Palsy

TypeinterventionalSponsorNanjing Medical UniversityRan2025 to 2028Enrolled30ConditionsPeripheral Facial Palsy, Pulsed Radiofrequency, Brain-Computer Interface, Transcranial Direct Current StimulationArmsBrain-Computer Interface （BCI）, Pulsed Radiofrequency （PRF）, Standard Therapy
3 · Its place in the literature

Who cites it

231 citing papers in PubMed, 17 syntheses or guidelines pooled it, 513 citations in OpenAlex.

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171 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 3 countries.

María A CerveraLife Sciences and Technology École polytechnique fédérale de Lausanne (EPFL) Lausanne Switzerland.ORCID 0000-0002-9183-4400
Surjo R SoekadarApplied Neurotechnology Laboratory Department of Psychiatry and Psychotherapy University Hospital of Tübingen Tübingen Germany.ORCID 0000-0003-1280-5538
Junichi UshibaDepartment of Biosciences and Informatics Faculty of Science and Technology Keio University Yokohama Japan.ORCID 0000-0003-1161-983X
José Del R MillánDefitech Chair in Brain-Machine Interface Center for Neuroprosthetics École polytechnique fédérale de Lausanne (EPFL) Lausanne Switzerland.ORCID 0000-0001-5819-1522
Meigen LiuDepartment of Rehabilitation Medicine Keio University School of Medicine Tokyo Japan.
Niels BirbaumerInstitute for Medical Psychology and Behavioural Neurobiology University Tübingen Tübingen Germany.
Gangadhar GaripelliMindMaze SA Lausanne Switzerland.ORCID 0000-0001-6780-794X
École Polytechnique Fédérale de Lausanne · CHKeio University · JPWyss Center for Bio and Neuroengineering · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might trigger neurological recovery and hence improvement in motor function. Here, we provide a first meta-analysis evaluating the clinical effectiveness of BCI-based post-stroke motor rehabilitation. Trials were identified using MEDLINE, CENTRAL, PEDro and by inspection of references in several review articles. We selected randomized controlled trials that used BCIs for post-stroke motor rehabilitation and provided motor impairment scores before and after the intervention. A random-effects inverse variance method was used to calculate the summary effect size. We initially identified 524 articles and, after removing duplicates, we screened titles and abstracts of 473 articles. We found 26 articles corresponding to BCI clinical trials, of these, there were nine studies that involved a total of 235 post-stroke survivors that fulfilled the inclusion criterion (randomized controlled trials that examined motor performance as an outcome measure) for the meta-analysis. Motor improvements, mostly quantified by the upper limb Fugl-Meyer Assessment (FMA-UE), exceeded the minimal clinically important difference (MCID=5.25) in six BCI studies, while such improvement was reached only in three control groups. Overall, the BCI training was associated with a standardized mean difference of 0.79 (95% CI: 0.37 to 1.20) in FMA-UE compared to control conditions, which is in the range of medium to large summary effect size. In addition, several studies indicated BCI-induced functional and structural neuroplasticity at a subclinical level. This suggests that BCI technology could be an effective intervention for post-stroke upper limb rehabilitation. However, more studies with larger sample size are required to increase the reliability of these results.

Identifiers

PMID29761128
PMCPMC5945970
OpenAlexW2780011893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.