Randomized trial analyzes EEG characteristics during MI-BCI tasks in patients with prolonged disorders of consciousness, suggesting a diagnostic tool for consciousness evaluation.
Key Points
This research aims to analyze EEG features during a motor imagery brain-computer interface task in patients with prolonged disorders of consciousness.
43 patients with prolonged disorders of consciousness were assessed using modified Coma Recovery Scale-Revised (CRS-R).
Patients underwent 5 min of resting-state EEG followed by 5 min of MI-BCI task, with analysis using Fast Fourier Transform (FFT).
Mixed-design ANOVA was used to compare EEG features across states and groups.
Significant differences were found between resting-state and MI-BCI conditions in EEG frequency bands.
UWS patients exhibited higher delta power than MCS during both conditions, while MCS had higher beta and gamma power during MI-BCI.
Average brain engagement was greater in MCS than in UWS during MI-BCI tasks.