Dynamics of Interaction of Neural Networks in the Course of EEG Alpha Biofeedback


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Resumo

Brain EEG-fMRI activity was studied in subjects, who had successfully completed the EEG alpha stimulating training course (20 sessions): for 14 healthy men (20-35 years) three records were obtained in the feedback loop (biofeedback with EEG alpha rhythm with sound reinforcement): in the beginning, middle and at the end of the course. During alpha training, increased functional connectivity was revealed between precuneus network and anterior salience network, left executive control network, default mode network, primary visual network; anterior salience network and executive control network, visual-spatial network. The most prominent changes were found for precuneus network and anterior salience network, which could be due to their key role in the biofeedback phenomenon. Significant changes in functional connectivity were recorded for anterior salience network and precuneus network (synchronicity increased from the first to the third trial) and right and left executive control networks (weakening from the first to the second session.

Sobre autores

L. Kozlova

Research Institute of Molecular Biology and Biophysics; Novosibirsk State University

Autor responsável pela correspondência
Email: lyudmilakozlova@yandex.ru
Rússia, Novosibirsk; Novosibirsk

D. Bezmaternykh

Research Institute of Molecular Biology and Biophysics; Novosibirsk State University

Email: lyudmilakozlova@yandex.ru
Rússia, Novosibirsk; Novosibirsk

M. Mel’nikov

Research Institute of Molecular Biology and Biophysics; Novosibirsk State University

Email: lyudmilakozlova@yandex.ru
Rússia, Novosibirsk; Novosibirsk

A. Savelov

International Tomography Center, Siberian Division of Russian Academy of Sciences

Email: lyudmilakozlova@yandex.ru
Rússia, Novosibirsk

E. Petrovskii

International Tomography Center, Siberian Division of Russian Academy of Sciences

Email: lyudmilakozlova@yandex.ru
Rússia, Novosibirsk

M. Shtark

Research Institute of Molecular Biology and Biophysics; Novosibirsk State University

Email: lyudmilakozlova@yandex.ru
Rússia, Novosibirsk; Novosibirsk


Declaração de direitos autorais © Springer Science+Business Media New York, 2017

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