Electroacupuncture Alters BCI-Based Brain Network in Stroke Patients.

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Stroke frequently causes motor dysfunction, impacting patients' quality of life.
• Electroacupuncture is a non-pharmacological therapy that can improve motor function.
• Current clinical methods struggle to provide immediate feedback on electroacupuncture's efficacy.

Purpose of the Study:

• To investigate immediate changes in brain activity in stroke patients undergoing electroacupuncture.
• To analyze electroencephalography (EEG) data in the alpha and beta bands.
• To establish a quantitative, real-time method for assessing electroacupuncture's effects.

Main Methods:

• Utilized seven functional connectivity indicators (e.g., Pearson correlation, spectral coherence) to construct brain networks.
• Employed Brain-Computer Interface (BCI) based network analysis.
• Analyzed EEG data from three groups of stroke patients before, during, and after electroacupuncture.

Main Results:

• EEG analysis revealed decreased brain activity in the alpha band post-treatment.
• Beta band activity showed a decrease in the first two patient groups.
• The study provides quantitative insights into neurophysiological changes.

Conclusions:

• The developed BCI-based method offers instant and quantitative evaluation of electroacupuncture.
• Findings suggest neurophysiological evidence linking brain activity changes to electroacupuncture outcomes.
• Understanding brain network dynamics in alpha and beta bands can optimize electroacupuncture regimens for stroke patients.