Cortical Imaging of Sensorimotor Rhythm during On-line Control of Brain-computer Interface
Abstract
It is of wide interest to study the brain activity that correlates to the control of Brain-Computer Interface (BCI). In the present study, we propose an approach to image the cortical rhythmic modulation by motor imagery using minimum-norm estimates (MNE) in the frequency domain. Cortical distribution of mu activity during online control of BCI was obtained with the MNE. Statistical source analysis revealed maximum correlation with one-dimensional movement localized in sensorimotor cortex.
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