Evidence map›Paper›PMID 39839676›Full record

ArticleFrontiers in neural circuits2024

Improved motor imagery skills after repetitive passive somatosensory stimulation: a parallel-group, pre-registered study.

Kyoko Kusano, Masaaki Hayashi, Seitaro Iwama, Junichi Ushiba

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Brain-computer interface-based neurofeedback training enables transferable control of cortical state switching in humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

4 authors.

Kyoko KusanoDepartment of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Kanagawa, Japan.
Masaaki HayashiDepartment of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Kanagawa, Japan.
Seitaro IwamaDepartment of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Kanagawa, Japan.
Junichi UshibaDepartment of Biosciences and Informatics, Faculty of Science and Technology, Keio University, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Motor-imagery-based Brain-Machine Interface (MI-BMI) has been established as an effective treatment for post-stroke hemiplegia. However, the need for long-term intervention can represent a significant burden on patients. Here, we demonstrate that motor imagery (MI) instructions for BMI training, when supplemented with somatosensory stimulation in addition to conventional verbal instructions, can help enhance MI capabilities of healthy participants. Methods: Sixteen participants performed MI during scalp EEG signal acquisition before and after somatosensory stimulation to assess MI-induced cortical excitability, as measured using the event-related desynchronization (ERD) of the sensorimotor rhythm (SMR). The non-dominant left hand was subjected to neuromuscular electrical stimulation above the sensory threshold but below the motor threshold (St-NMES), along with passive movement stimulation using an exoskeleton. Participants were randomly divided into an intervention group, which received somatosensory stimulation, and a control group, which remained at rest without stimulation. Results: The intervention group exhibited a significant increase in SMR-ERD compared to the control group, indicating that somatosensory stimulation contributed to improving MI ability. Discussion: This study demonstrates that somatosensory stimulation, combining electrical and mechanical stimuli, can improve MI capability and enhance the excitability of the sensorimotor cortex in healthy individuals.

Indexed as

Brain-Computer InterfacesImaginationMotor SkillsSensorimotor CortexAdultElectric StimulationElectroencephalographyFemaleHumansMaleSomatosensory CortexYoung Adultbrain-machine (computer) interfaceevent-related (de-) synchronization (ERD/ERS)exoskeleton robotkinesthetic imagerymotor imagery (MI)neuromuscular electrical stimulation (NMES)

Identifiers

PMID39839676
PMCPMC11747441

What OpenQuestion holds

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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.