Evidence map›Paper›PMID 34163342›Full record

ArticleFrontiers in human neuroscience2021

Brain-Computer Interface Coupled to a Robotic Hand Orthosis for Stroke Patients' Neurorehabilitation: A Crossover Feasibility Study.

Jessica Cantillo-Negrete, Ruben I Carino-Escobar, Paul Carrillo-Mora, Marlene A Rodriguez-Barragan, Claudia Hernandez-Arenas, Jimena Quinzaños-Fresnedo, Isauro R Hernandez-Sanchez, Marlene A Galicia-Alvarado, Adan Miguel-Puga, Oscar Arias-Carrion

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 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

10 authors at 2 institutions in 1 country.

Jessica Cantillo-NegreteDivision of Research in Medical Engineering, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Ruben I Carino-EscobarDivision of Research in Medical Engineering, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Paul Carrillo-MoraNeuroscience Division, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Marlene A Rodriguez-BarraganDivision of Neurological Rehabilitation, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Claudia Hernandez-ArenasDivision of Neurological Rehabilitation, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Jimena Quinzaños-FresnedoDivision of Neurological Rehabilitation, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Isauro R Hernandez-SanchezDivision of Neurological Rehabilitation, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Marlene A Galicia-AlvaradoDepartment of Electrodiagnostic, Instituto Nacional de Rehabilitación "Luis Guillermo Ibarra Ibarra," Mexico City, Mexico.
Adan Miguel-PugaUnidad de Trastornos de Movimiento y Sueño (TMS), Hospital General "Dr. Manuel Gea González," Mexico City, Mexico.
Oscar Arias-CarrionUnidad de Trastornos de Movimiento y Sueño (TMS), Hospital General "Dr. Manuel Gea González," Mexico City, Mexico.
Instituto Nacional de Rehabilitación · MXHospital General Dr. Manuel Gea Gonzalez · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-Computer Interfaces (BCI) coupled to robotic assistive devices have shown promise for the rehabilitation of stroke patients. However, little has been reported that compares the clinical and physiological effects of a BCI intervention for upper limb stroke rehabilitation with those of conventional therapy. This study assesses the feasibility of an intervention with a BCI based on electroencephalography (EEG) coupled to a robotic hand orthosis for upper limb stroke rehabilitation and compares its outcomes to conventional therapy. Seven subacute and three chronic stroke patients (

Indexed as

ARATelectroencephalographyFugl-Meyerhemiparesismotor intentionTMS

Identifiers

PMID34163342
PMCPMC8215105
OpenAlexW3167909966

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.