Resting state functional magnetic resonance imaging: an analysis of the connectivity of brain large-scale networks
https://doi.org/10.24835/1607-0763-1374
Abstract
Objective: To assess the possibilities of various methods for analyzing the functional integration of large-scale brain neural networks in healthy subjects according to functional MRI resting state.
Material and methods. Functional MRI at rest was performed on 28 healthy male subjects aged 27.4 ± 5.1 years, without bad habits and craniocerebral injuries. A functional evaluation of large-scale neural networks included in the triple network model was carried out: default mode network, salience network, executive control network.
Results. The analysis of independent components made it possible to fully identify the default mode network and the salience network, however, the executive control network were partially identified, and this mainly concerned structures with a bilateral location. Graph analysis has identified structures of greatest value for neurofunctional research. Almost all structures that have the highest graph indicators are related to the executive control network. The results of the Roi-analysis showed the interaction between all large-scale networks, which indicates their joint work in providing important brain functions. It was also determined that in healthy people, all structures within large-scale networks are functionally interconnected.
Conclusion. Different methods of resting functional MRI data analysis reveal different aspects of connectivity in the brain, completely different principles are involved in the processing of each method, and the final quantification parameters also vary depending on the preferred method. Currently, there is no single method that in itself would be considered the standard of analysis. Applying multiple methods to the same dataset can produce more informative results.
About the Authors
Sh. K. Abdulaev
S.M. Kirov Military Medical Academy, Ministry of Defense of Russia; 6, Academician Lebedev str., St. Petersburg 194044, Russian Federation
Russian Federation
Russian Federation
Shamil K. Abdulaev – researcher of S.M. Kirov Military Medical Academy, Ministry of Defense of Russia, St. Petersburg
D. A. Tarumov
S.M. Kirov Military Medical Academy, Ministry of Defense of Russia; 6, Academician Lebedev str., St. Petersburg 194044, Russian Federation
Russian Federation
Russian Federation
Dmitriy A. Tarumov – Doct. of Sci. (Med.), Lecturer of the 1st Department (Advanced therapy for doctors), Military Medical Academy, Ministry of Defense of Russia, St. Petersburg
A. S. Bogdanovskaya
I.I. Mechnikov NorthWestern State Medical University; 41, Kirochnaya str., 191015 St. Petersburg, Russian Federation
Russian Federation
Russian Federation
Anna S. Bogdanovskaya – Resident, Department of Psychiatry and Narcology, I.I. Mechnikov North-Western State Medical University St. Petersburg
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Abdulaev Sh.K., Tarumov D.A., Bogdanovskaya A.S. Resting state functional magnetic resonance imaging: an analysis of the connectivity of brain large-scale networks. Medical Visualization. 2024;28(1):45-56. (In Russ.) https://doi.org/10.24835/1607-0763-1374
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