Evidence map›Paper›PMID 39944367›Full record

ReviewSovremennye tekhnologii v meditsine2023

Brain-Computer Interfaces for Upper Limb Motor Recovery after Stroke: Current Status and Development Prospects (Review).

O A Mokienko, R Kh Lyukmanov, P D Bobrov, N A Suponeva, M A Piradov

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sovremennye tekhnologii v meditsine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  3. Review
  4. Review
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

5 authors.

O A MokienkoMD, PhD, Researcher, Brain-Computer Interface Group of Institute for Neurorehabilitation and Restorative Technologies; Research Center of Neurology, 80 Volokolamskoe Shosse, Moscow, 125367, Russia; Senior Researcher, Mathematical Neurobiology of Learning Laboratory; Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia.
R Kh LyukmanovMD, PhD, Head of the Brain-Computer Interface Group of Institute for Neurorehabilitation and Restorative Technologies; Research Center of Neurology, 80 Volokolamskoe Shosse, Moscow, 125367, Russia.
P D BobrovPhD, Head of the Mathematical Neurobiology of Learning Laboratory; Institute of Higher Nervous Activity and Neurophysiology of Russian Academy of Sciences, 5A Butlerova St., Moscow, 117485, Russia.
N A SuponevaMD, DSc, Corresponding Member of Russian Academy of Sciences, Director of Institute for Neurorehabilitation and Restorative Technologies; Research Center of Neurology, 80 Volokolamskoe Shosse, Moscow, 125367, Russia.
M A PiradovMD, DSc, Professor, Academician of Russian Academy of Sciences, Director; Research Center of Neurology, 80 Volokolamskoe Shosse, Moscow, 125367, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties of these technologies have been studied in numerous clinical trials for more than 10 years, and their construct and software are constantly being improved. Despite the positive treatment results and the availability of registered medical devices, there are currently a number of problems for the wide clinical application of BCI technologies. This review provides information on the most studied types of BCIs and its training protocols and describes the evidence base for the effectiveness of BCIs for upper limb motor recovery after stroke. The main problems of scaling this technology and ways to solve them are also described.

Indexed as

Brain-Computer InterfacesRecovery of FunctionStrokeStroke RehabilitationUpper ExtremityHumansbrain–computer interfaceneurorehabilitationstrokeupper limb

Identifiers

PMID39944367
PMCPMC11811833

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.