Abstract
The analysis of neurophysiological mechanisms responsible for the imagination of movements is essential for developing brain-computer interfaces. We have carried out MEG experiments with voluntary participants performing imaginary movements. We have analyzed the features of motor imagery (imagery arms and legs movements) at the source level. We have obtained the results that confirmed two types of motor imagery: visual imagery and kinesthetic imagery. We have analyzed averaged distributions of normalized sources power for the visual imagery and kinesthetic imagery subgroups of volunteers and identified the main differences between these types of motor imagery in terms of the excitation of sources of neural activity. We have applied statistical cluster-based permutation test to identify the differences between the averaged distributions of normalized sources power for visual and kinesthetic imagery.
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