Evidence map›Paper›PMID 26495971›Full record

Trial reportPloS one2015

Residual Upper Arm Motor Function Primes Innervation of Paretic Forearm Muscles in Chronic Stroke after Brain-Machine Interface (BMI) Training.

Marco Rocha Curado, Eliana Garcia Cossio, Doris Broetz, Manuel Agostini, Woosang Cho, Fabricio Lima Brasil, Oezge Yilmaz, Giulia Liberati, Guilherme Lepski, Niels Birbaumer and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 5 pooled it
1.2field-weighted citation impact, top 23% 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

17 citing papers in PubMed, 5 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  6. Article
  7. Review
  8. Article
  9. EEG-based sensorimotor neurofeedback for motor neurorehabilitation in children and adults: A scoping review.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  10. Review
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  12. Article
  13. Article
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  15. Article
  16. EEG-Based Brain-Computer Interfaces.Current opinion in biomedical engineering · 2017
    Article
  17. Therapeutic Applications of BCI Technologies.Brain computer interfaces (Abingdon, England) · 2017
    Article
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 at 4 institutions in 5 countries.

Marco Rocha CuradoInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany; International Max Planck Research School for Neural & Behavioral Sciences, Tübingen, Germany.
Eliana Garcia CossioInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany; International Max Planck Research School for Neural & Behavioral Sciences, Tübingen, Germany.
Doris BroetzInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany.
Manuel AgostiniInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany.
Woosang ChoInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany.
Fabricio Lima BrasilEdmond and Lily Safra International Institute of Neuroscience, Institute Santos Dumond, Natal, Brazil.
Oezge YilmazInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany; International Max Planck Research School for Neural & Behavioral Sciences, Tübingen, Germany.
Giulia LiberatiInstitute of Neuroscience, Université catholique de Louvain, Louvain la Neuve, Belgium.
Guilherme LepskiDepartment of Neurology, University of São Paulo, São Paulo, Brazil; Department of Neurosurgery, University of Tübingen, Tübingen, Germany.
Niels BirbaumerInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany; Ospedale San Camillo, IRCCS, Venice, Italy; Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany.
Ander Ramos-MurguialdayInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Silcherstr. 5, 72076, Tübingen, Germany; TECNALIA Health Technologies, San Sebastian, Spain.
University of Tübingen · DEIRCCS San Camillo Hospital · ITUCLouvain · BEUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal upper arm-forearm muscle synergies after stroke are poorly understood. We investigated whether upper arm function primes paralyzed forearm muscles in chronic stroke patients after Brain-Machine Interface (BMI)-based rehabilitation. Shaping upper arm-forearm muscle synergies may support individualized motor rehabilitation strategies.

methodsThirty-two chronic stroke patients with no active finger extensions were randomly assigned to experimental or sham groups and underwent daily BMI training followed by physiotherapy during four weeks. BMI sessions included desynchronization of ipsilesional brain activity and a robotic orthosis to move the paretic limb (experimental group, n = 16). In the sham group (n = 16) orthosis movements were random. Motor function was evaluated with electromyography (EMG) of forearm extensors, and upper arm and hand Fugl-Meyer assessment (FMA) scores. Patients performed distinct upper arm (e.g., shoulder flexion) and hand movements (finger extensions). Forearm EMG activity significantly higher during upper arm movements as compared to finger extensions was considered facilitation of forearm EMG activity. Intraclass correlation coefficient (ICC) was used to test inter-session reliability of facilitation of forearm EMG activity.

resultsFacilitation of forearm EMG activity ICC ranges from 0.52 to 0.83, indicating fair to high reliability before intervention in both limbs. Facilitation of forearm muscles is higher in the paretic as compared to the healthy limb (p<0.001). Upper arm FMA scores predict facilitation of forearm muscles after intervention in both groups (significant correlations ranged from R = 0.752, p = 0.002 to R = 0.779, p = 0.001), but only in the experimental group upper arm FMA scores predict changes in facilitation of forearm muscles after intervention (R = 0.709, p = 0.002; R = 0.827, p<0.001).

conclusionsResidual upper arm motor function primes recruitment of paralyzed forearm muscles in chronic stroke patients and predicts changes in their recruitment after BMI training. This study suggests that changes in upper arm-forearm synergies contribute to stroke motor recovery, and provides candidacy guidelines for similar BMI-based clinical practice.

Indexed as

Physical Therapy ModalitiesStroke RehabilitationAdultAgedArmBrain-Computer InterfacesChronic DiseaseElectromyographyFemaleForearmHandHumansMaleMiddle AgedMovementMuscle, Skeletal

Identifiers

PMID26495971
PMCPMC4619686
OpenAlexW2127229229

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.