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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Related Experiment Video

Updated: Jan 9, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
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[Movement image training and brain-computer interface in cognitive rehabilitation].

V V Labor1, O A Mokienko2,3, A N Cherkasova3

  • 1Lomonosov Moscow State University, Moscow, Russia.

Zhurnal Nevrologii I Psikhiatrii Imeni S.S. Korsakova
|December 9, 2025
PubMed
Summary
This summary is machine-generated.

Movement image training and brain-computer interfaces (BCIs) show promise for cognitive rehabilitation in neurological diseases. These methods effectively improve cognitive functions, especially in patients with moderate deficits, but further research is needed.

Keywords:
brain-computer interfacecognitive functionsmotion imageneurorehabilitation

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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Cognitive Science

Background:

  • Neurological diseases significantly impair cognitive functions.
  • Cognitive rehabilitation aims to restore lost cognitive abilities.
  • Movement image training and BCIs are emerging therapeutic modalities.

Purpose of the Study:

  • To review and evaluate the effectiveness of movement image training and BCIs for cognitive rehabilitation in neurological conditions.
  • To analyze studies published between 2004 and 2025.
  • To assess the impact on patients with stroke, Parkinson's disease, and multiple sclerosis.

Main Methods:

  • Systematic review and analysis of published studies.
  • Evaluation of cognitive function recovery in patients undergoing movement image training and BCI interventions.
  • Categorization of studies based on neurological condition (stroke, Parkinson's, multiple sclerosis).

Main Results:

  • Movement image training demonstrated positive effects on cognitive functions, particularly in patients with moderate deficits, comparable to specialized cognitive training.
  • BCI-controlled movement image training also led to cognitive improvements.
  • Improvements in cognitive indicators correlated with motor recovery in some studies.
  • No significant cognitive gains were observed in patients with normal or near-normal baseline MoCA scores.

Conclusions:

  • Movement image training combined with BCI control presents a promising approach for cognitive rehabilitation in neurological patients.
  • Further high-quality randomized controlled trials are essential to elucidate underlying mechanisms and establish standardized protocols.
  • The heterogeneity of existing studies complicates direct comparisons and necessitates rigorous future research.