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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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Behavioral Outcomes Following Brain-Computer Interface Intervention for Upper Extremity Rehabilitation in Stroke: A

Alexander B Remsik1,2,3, Keith Dodd1,4, Leroy Williams1,5,6

  • 1Department of Radiology, University of Wisconsin - Madison, Madison, WI, United States.

Frontiers in Neuroscience
|November 24, 2018
PubMed
Summary
This summary is machine-generated.

Brain-computer interface (BCI) intervention shows promise for improving upper extremity (UE) motor function in stroke survivors. This study found significant gains in motor function and daily activities after BCI treatment, suggesting its efficacy for rehabilitation.

Keywords:
brain–computer interface (BCI)hemiparesismotor functionrecoveryrehabilitationstrokeupper extremity

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Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
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Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Stroke is a primary cause of long-term upper extremity (UE) motor disability.
  • Brain-computer interface (BCI) technology offers a potential avenue for motor rehabilitation in stroke survivors.
  • Understanding participant characteristics linked to improved outcomes is crucial for optimizing BCI therapy.

Purpose of the Study:

  • To evaluate the rehabilitative efficacy of a specific BCI design for stroke survivors with UE impairment.
  • To identify stroke participant characteristics associated with behavioral improvements following BCI intervention.
  • To analyze changes in motor function using the Action Research Arm Test (ARAT) and other functional measures.

Main Methods:

  • A sub-analysis of a clinical trial (NCT02098265) involving 21 stroke participants with UE impairment.
  • Participants underwent assessments using the ARAT and other functional measures.
  • A crossover design was employed, with some participants receiving BCI intervention initially and others serving as controls before crossing over.

Main Results:

  • 64% of participants with potential for improvement showed positive changes in ARAT scores post-intervention.
  • Significant mean gains in ARAT total scores were observed at completion and 1-month follow-up (p=0.028, p=0.0010).
  • Secondary outcomes (SIS mobility, ADL, strength, and 9HPT) also showed significant improvements, with higher improvement rates in SIS strength compared to controls (p=0.0117).

Conclusions:

  • The BCI intervention demonstrated primary efficacy in treating UE impairment in stroke survivors.
  • Improvements in secondary outcome measures may indicate patterns of enhanced recovery.
  • The findings support the potential of this BCI design as a valuable tool in stroke rehabilitation.