Significantly above-chance finger movement detection was observed across multiple medial wall subregions, with local motor potentials (LMP) and oscillatory power in the 8-12 Hz and 12-34 Hz bands contributing most strongly to decoding performance. Feature dynamics shared key properties with primary motor cortex, including pre-movement desynchronization, while also exhibiting region-specific patterns such as anatomically dependent positive or negative LMP modulations.
Although movement detection was the dominant outcome, medial wall channels in two subjects enabled significant differentiation between individual fingers. In one subject, both contralateral and ipsilateral finger movements could be decoded with some generalization across hands, though this observation is based on a single case and should be interpreted as preliminary. The findings identify the medial wall as a viable source of motor-related signals for finger movement decoding, with potential for future invasive motor BCI applications.