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Articles linked to this work by shared authors, journal, and citation graph.

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Preliminary psychometric validation of the Russian version of the vividness of tactile imagery questionnaire (VTIQ-RUS).

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Related Experiment Video

Updated: May 1, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

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Case Report: post-stroke rehabilitation with a visuomotor transformation-based brain-computer interface.

Alisa Kokorina1, Nikolay Syrov1, Lev Yakovlev1

  • 1Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Skolkovo Institute of Science and Technology, Moscow, Russia.

Frontiers in Human Neuroscience
|April 30, 2026
PubMed
Summary
This summary is machine-generated.

This study explored a P300-based brain-computer interface (BCI) for stroke rehabilitation, finding it feasible and safe. The P300-BCI, combined with robotic therapy and virtual reality, showed promising results for upper limb recovery.

Area of Science:

  • Neuroscience
  • Rehabilitation Engineering
  • Biomedical Engineering

Background:

  • Brain-computer interfaces (BCIs) are vital for post-stroke neurorehabilitation.
Keywords:
P300 - event related potentialbrain-computer interfacemotor imagery (MI)rehabilitationvirtual reality

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  • Motor imagery (MI)-based BCIs are common but challenging for some patients.
  • Alternative BCI strategies are needed to improve rehabilitation accessibility.