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Peculiarities of brain sources reconstructed by MEG signals during imaginary movements

Semen Kurkin, Neuroscience and Cognitive Technology Lab, Center for Technologies in Robotics and Mechatronics Components, Innopolis University
Parth Chholak, Center for Biomedical Technology, Technical University of Madrid
Alexander Pisarchik, Center for Biomedical Technology, Technical University of Madrid
Alexander Hramov, Neuroscience and Cognitive Technology Lab, Center for Technologies in Robotics and Mechatronics Components, Innopolis University

Abstract

We analyzed the features of motor imagery (imagery arms movements) in the source level, applying the Dynamic Imaging of Coherent Sources method to MEG signals. We obtained the results that have confirmed the existence of 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.

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Semen Kurkin
Innopolis University
Russia

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