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Related Experiment Video

Updated: Jun 27, 2026

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb
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Using a functional near-infrared spectroscopy-guided brain-computer interface to facilitate observational imitation

Jack Jiaqi Zhang1, Ruixuan Lin1, Roy Rongyue Zeng1

  • 1Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China.

Annals of Physical and Rehabilitation Medicine
|June 25, 2026
PubMed
Summary

Functional near-infrared spectroscopy-based brain-computer interface (fNIRS-BCI) shows promise for enhancing motor imagery (MI) neurofeedback in stroke rehabilitation. While not improving upper extremity function, it boosted brain responsiveness to visual feedback.

Keywords:
Brain-computer interfacesMotor imageryObservational imitationStrokeSupplementary motor areaVisual feedback

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Related Experiment Videos

Last Updated: Jun 27, 2026

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05:25

An Experiment Using Functional Near-Infrared Spectroscopy and Robot-Assisted Multi-Joint Pointing Movements of the Lower Limb

Published on: June 7, 2024

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
11:31

Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks

Published on: December 5, 2014

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke
09:42

Motor Imagery Brain-Computer Interface in Rehabilitation of Upper Limb Motor Dysfunction After Stroke

Published on: September 1, 2023

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Brain-computer interfaces (BCIs) offer potential for motor relearning after stroke.
  • Functional near-infrared spectroscopy (fNIRS) can monitor brain activity during motor imagery (MI).

Purpose of the Study:

  • To assess the efficacy of an fNIRS-based BCI for augmenting MI in post-stroke upper extremity rehabilitation.
  • To investigate the underlying mechanisms of fNIRS-BCI during observational imitation therapy.

Main Methods:

  • A randomized trial compared fNIRS-BCI with a sham BCI during observational imitation.
  • Participants performed kinesthetic MI, with video feedback triggered by fNIRS-detected brain activity.
  • Upper extremity function and neurophysiological markers (ERD, HbO) were measured pre- and post-intervention.

Main Results:

  • Both groups showed upper extremity functional improvements, with no significant between-group differences.
  • fNIRS-BCI significantly enhanced mirror visual feedback-induced beta sensorimotor event-related desynchronization (ERD) bilaterally.
  • Participants using fNIRS-BCI demonstrated improved ability to upregulate MI-induced oxygenated hemoglobin (HbO) in sensorimotor areas.

Conclusions:

  • fNIRS-BCI effectively monitors brain activity and enhances corticomotor control via neurofeedback during stroke rehabilitation.
  • While not superior for motor outcomes, fNIRS-BCI may improve brain responsiveness to visual stimuli post-stroke.
  • Further research is needed to correlate neurophysiological changes with clinical outcomes.