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Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on
Summary
Brain-computer interface-controlled supernumerary robotic finger (BCI-SRF) training significantly enhances motor skills and brain network function. This study shows BCI-SRF improves sequence accuracy and alters brain connectivity, indicating better human-machine interaction.
Area of Science:
- Neuroscience
- Robotics
- Human-Computer Interaction
Background:
- Supernumerary robotic fingers (SRF) offer motor augmentation and rehabilitation benefits.
- Brain-computer interface (BCI) technology enables direct control of SRF.
- Neuroplasticity effects of BCI-SRF training remain unclear.
Purpose of the Study:
- To investigate the neuroplasticity effects of BCI-SRF training using a "six finger" motor imagery paradigm.
- To assess behavioral and neuroimaging changes after 4 weeks of BCI-SRF training.
Main Methods:
- 20 healthy participants were assigned to BCI-SRF or sham SRF training groups.
- Behavioral testing included SRF-finger opposition sequence accuracy.
- Neuroimaging techniques: resting-state fMRI (rs-fMRI) and task-based fMRI (tb-fMRI).
Main Results:
- BCI-SRF group showed a 132% improvement in SRF-finger opposition sequence accuracy.
- Significant increase in left middle frontal gyrus activation in the BCI-SRF group.
- Enhanced functional connectivity (FC) and brain network clustering coefficients in the BCI-SRF group.
Conclusions:
- BCI-SRF training significantly improves human-machine interaction performance.
- It modulates functional interactions between motor learning and cognitive imagery brain regions.
- BCI-SRF enhances brain network integration and local information processing capabilities.
