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Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
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Brain Functional Changes in Stroke Following Rehabilitation Using Brain-Computer Interface-Assisted Motor Imagery
Mengjiao Hu1,2, Hsiao-Ju Cheng2,3, Fang Ji2
1NTU Institute for Health Technologies, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore, Singapore.
Frontiers in Human Neuroscience
|August 2, 2021
Summary
Combining brain-computer interfaces with motor imagery (MI-BCI) and transcranial direct current stimulation (tDCS) did not enhance stroke rehabilitation outcomes. The MI-BCI only group showed brain normalization, unlike the combined group, suggesting the need for refined integration strategies.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Motor imagery-based brain-computer interfaces (MI-BCI) and transcranial direct current stimulation (tDCS) are known to improve motor function post-stroke.
- The combined effects of MI-BCI and tDCS on post-stroke motor rehabilitation remain largely unexplored.
- Understanding brain functional changes is crucial for optimizing stroke recovery strategies.
Purpose of the Study:
- To investigate the impact of a combined MI-BCI and tDCS intervention on brain functional activity and connectivity in chronic subcortical stroke patients.
- To compare the neuroimaging and clinical outcomes between a group receiving MI-BCI with tDCS and a group receiving MI-BCI only.
Main Methods:
- Nineteen chronic subcortical stroke patients were randomized into two groups: MI-BCI with real/sham tDCS and MI-BCI only.
- Intervention involved 10 sessions of 20-minute tDCS followed by 1-hour MI-BCI training with robotic feedback over two weeks.
- Resting-state fMRI data were analyzed pre- and post-intervention to assess Amplitude of Low-Frequency Fluctuation (ALFF), Regional Homogeneity (ReHo), and Functional Connectivity (FC).
Main Results:
- Baseline: Stroke patients exhibited altered ALFF/ReHo in the somatomotor network (SMN) and default mode network (DMN) compared to controls.
- MI-BCI only group: Showed increased ALFF in the contralesional SMN and decreased ALFF/ReHo in the posterior DMN post-intervention.
- MI-BCI + tDCS group: No significant changes in ALFF, ReHo, or FC were observed post-intervention. Both groups improved motor function (Fugl-Meyer Assessment) without significant group differences.
Conclusions:
- The MI-BCI only intervention promoted brain functional re-normalization and network-specific compensation, unlike the combined MI-BCI + tDCS approach.
- Despite similar motor function improvements, the combined MI-BCI and tDCS strategy did not yield the expected neuroimaging benefits and may even have opposing effects on brain reorganization.
- Further research is needed to refine the integration of MI-BCI and tDCS to enhance their efficacy in stroke motor rehabilitation.
Keywords:
amplitude of low-frequency fluctuationbrain-computer interface-assisted motor imageryfunctional connectivityfunctional magnetic resonance imagingregional homogeneitystroketranscranial direct current stimulation
