Evidence map›Paper›PMID 30722727›Full record

Trial reportNeurorehabilitation and neural repair2019

Brain-Machine Interface in Chronic Stroke: Randomized Trial Long-Term Follow-up.

Ander Ramos-Murguialday, Marco R Curado, Doris Broetz, Özge Yilmaz, Fabricio L Brasil, Giulia Liberati, Eliana Garcia-Cossio, Woosang Cho, Andrea Caria, Leonardo G Cohen and 1 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Neurorehabilitation and neural repair, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 8 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

55 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  12. Brain-Machine Interface Induced Morpho-Functional Remodeling of the Neural Motor System in Severe Chronic Stroke.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2020
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  19. 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

11 authors.

Ander Ramos-Murguialday1 University of Tubingen, Tübingen, Germany.
Marco R Curado1 University of Tubingen, Tübingen, Germany.
Doris Broetz1 University of Tubingen, Tübingen, Germany.
Özge Yilmaz1 University of Tubingen, Tübingen, Germany.
Fabricio L Brasil1 University of Tubingen, Tübingen, Germany.
Giulia Liberati1 University of Tubingen, Tübingen, Germany.
Eliana Garcia-Cossio1 University of Tubingen, Tübingen, Germany.
Woosang Cho1 University of Tubingen, Tübingen, Germany.
Andrea Caria1 University of Tubingen, Tübingen, Germany.
Leonardo G Cohen9 National Institutes of Health, Bethesda, MD, USA.
Niels Birbaumer1 University of Tubingen, Tübingen, Germany.

Funding

Modulating brain plasticity in rehabilitation of stroke and other brain lesionsZIANS003030 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI COHEN, LEONARDO GREGORIO · 2009 to 2025
$23.2M
Modulating brain plasticity in rehabilitation of stroke and other brain lesionsZ01NS003030 · NINDS · NEUROLOGICAL DISORDERS AND STROKE · PI COHEN, LEONARDO GREGORIO · 2007 to 2008
$3.9M
Intramural NIH HHS Z01 NS003030
6 · The paper itself

Abstract

backgroundBrain-machine interfaces (BMIs) have been recently proposed as a new tool to induce functional recovery in stroke patients.

objectiveHere we evaluated long-term effects of BMI training and physiotherapy in motor function of severely paralyzed chronic stroke patients 6 months after intervention.

methodsA total of 30 chronic stroke patients with severe hand paresis from our previous study were invited, and 28 underwent follow-up assessments. BMI training included voluntary desynchronization of ipsilesional EEG-sensorimotor rhythms triggering paretic upper-limb movements via robotic orthoses (experimental group, n = 16) or random orthoses movements (sham group, n = 12). Both groups received identical physiotherapy following BMI sessions and a home-based training program after intervention. Upper-limb motor assessment scores, electromyography (EMG), and functional magnetic resonance imaging (fMRI) were assessed before (Pre), immediately after (Post1), and 6 months after intervention (Post2).

resultsThe experimental group presented with upper-limb Fugl-Meyer assessment (cFMA) scores significantly higher in Post2 (13.44 ± 1.96) as compared with the Pre session (11.16 ± 1.73; P = .015) and no significant changes between Post1 and Post2 sessions. The Sham group showed no significant changes on cFMA scores. Ashworth scores and EMG activity in both groups increased from Post1 to Post2. Moreover, fMRI-BOLD laterality index showed no significant difference from Pre or Post1 to Post2 sessions.

conclusionsBMI-based rehabilitation promotes long-lasting improvements in motor function of chronic stroke patients with severe paresis and represents a promising strategy in severe stroke neurorehabilitation.

Indexed as

Brain-Computer InterfacesChronic DiseaseFemaleFollow-Up StudiesHumansMaleMiddle AgedRecovery of FunctionStrokeStroke RehabilitationTreatment Outcomebrain-machine interface (BMI)chronic strokeelectrophysiology (EEG)long-term effectsneurorehabilitation

Identifiers

PMID30722727
PMCPMC6420378

What OpenQuestion holds

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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.