Dynamics of fMRI and EEG Parameters in a Stroke Patient Assessed during a Neurofeedback Course Focused on Brodmann Area 4 (M1)


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Abstract

A course of interactive stimulation of primary motor cortex (Brodmann area 4) in the brain of a stroke patient resulted in recovery of locomotion volume in the paretic extremities and in improvement of general health accompanied with diverse changes in cerebral activity. During the training course, the magnitude of response in the visual fields of Brodmann areas 17 and 18 decreased; in parallel, the motor areas were supplemented with other ones such as area 24 (the ventral surface of anterior cingulate gyrus responsible for self-regulation of human brain activity and implicated into synthesis of tactile and special information) in company with Brodmann areas 40, 41, 43, 44, and 45. EEG data showed that neurofeedback sessions persistently increased the θ rhythm power in Brodmann areas 7, 39, 40, and 47, while the corresponding powers progressively decreased during a real motion. Both real motion and its virtual sibling constructed by interactive stimulation via neurofeedback were characterized with decreasing powers of the EEG β rhythm in Brodmann areas 6 and 8. The neurofeedback course decreased the coherence between the left Brodmann area 6 and some other ones examined in α and θ ranges. In the context of real motions, the coherence assessed in the EEG β range generally increased. Overall, the EEG and fMRI parameters attest to growing similarity between the moieties of functional communications effected in real and imaginary movements during neurofeedback course. The data open the vista for interactive stimulation to rehabilitate stroke patients; they highlight the important role of Brodmann areas in rearrangement of the brain in such patients; finally, the present results revealed the “common nervous pathway” that can be used to restore the capability for imaginary and real movements by a neurofeedback course after stroke.

About the authors

A. A. Savelov

International Tomography Center, Siberian Division of the Russian Academy of Sciences

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk

M. B. Shtark

Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine; Novosibirsk National Research State University; Research-and-Development Enterprise Komsib

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk; Novosibirsk; Novosibirsk

M. E. Mel’nikov

Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine; Novosibirsk National Research State University

Author for correspondence.
Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk; Novosibirsk

L. I. Kozlova

Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine; Novosibirsk National Research State University

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk; Novosibirsk

D. D. Bezmaternykh

Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine; Novosibirsk National Research State University

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk; Novosibirsk

E. G. Verevkin

Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk

E. D. Petrovskii

International Tomography Center, Siberian Division of the Russian Academy of Sciences

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk

M. A. Pokrovskii

International Tomography Center, Siberian Division of the Russian Academy of Sciences

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk

G. M. Tsirkin

Research Institute of Molecular Biology and Biophysics, Federal Research Center of Fundamental and Translational Medicine

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk

P. D. Rudych

Research Institute of Computational Technologies, Siberian Division of the Russian Academy of Sciences

Email: mikhail-melnikov@mail.ru
Russian Federation, Novosibirsk


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