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Related Experiment Video

Updated: Jun 2, 2025

Effects of Transcranial Alternating Current Stimulation on the Primary Motor Cortex by Online Combined Approach with Transcranial Magnetic Stimulation
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Personalizedµ-transcranial alternating current stimulation improves online brain-computer interface control.

Deland H Liu1, Satyam Kumar1, Hussein Alawieh1

  • 1Chandra Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, United States of America.

Journal of Neural Engineering
|January 17, 2025
PubMed
Summary
This summary is machine-generated.

Transcranial alternating current stimulation (tACS) can improve brain-computer interface (BCI) performance by enhancing motor imagery (MI) signals. This study used tACS to boost neural activity, leading to better BCI control for users.

Keywords:
EEGbrain–computer interface (BCI)motor imagery (MI)sensorimotor rhythms (SMRs)transcranial alternating current stimulation (tACS)

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Human-Computer Interaction

Background:

  • Motor imagery (MI)-based brain-computer interfaces (BCIs) translate imagined movements into external commands using electroencephalography (EEG).
  • A significant limitation in current BCIs is low user proficiency due to unreliable MI brain patterns, hindering classification accuracy.
  • Peak power spectral density in sensorimotor idling rhythms correlates with upper limb MI-BCI performance.

Purpose of the Study:

  • To enhance the online performance of MI-BCIs through a personalized, biomarker-driven approach using transcranial alternating current stimulation (tACS).
  • To investigate the efficacy of tACS in improving neural correlates of MI and subsequent BCI performance.

Main Methods:

  • An active-controlled, single-blind study involving 20 minutes of tACS application.
  • tACS was delivered at the participant-specific peak frequency within resting-state sensorimotor rhythms (SMRs).
  • The study compared outcomes in a tACS group (N=10) and an active control group (N=10).

Main Results:

  • Significant improvements in event-related desynchronizations (ERDs) of mu SMRs were observed post-tACS.
  • Online MI-BCI performance, decoding left vs. right hand commands, significantly improved in healthy participants receiving tACS.
  • No significant improvements were noted in the active control group, and a correlation between resting-state mu SMRs and mu ERD was established.

Conclusions:

  • tACS, targeted at individual peak frequencies, can non-invasively enhance neural activity related to motor imagery.
  • This approach offers a promising method for improving MI-BCI performance and user capabilities.
  • The findings provide a mechanistic understanding for enhancing BCI efficacy and user independence.