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A Review of Method and Approaches for Resting State fMRI Analyses

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dc.contributor.authorOrlov, V. A.
dc.contributor.authorKozlov, S. O.
dc.contributor.authorEnyagina, I. M.
dc.contributor.authorPoyda, A. A.
dc.contributor.authorUshakov, V. L.
dc.contributor.authorУшаков, Вадим Леонидович
dc.date.accessioned2024-11-25T14:50:35Z
dc.date.available2024-11-25T14:50:35Z
dc.date.issued2020
dc.description.abstract© 2020, Springer Nature Switzerland AG.Resting-state functional Magnetic Resonance Imaging (R-fMRI) measures spontaneous low-frequency oscillations of the BOLD signal in order to identify the functional architecture of the human brain. The analysis of such data allowed to identify resting state networks (RSN) and other areas of the brain that operate synchronously in time. Over the past few years, the interest of both scientists and clinicians to various methods of R-fMRI data analysis has greatly increased. In this article, we present a review and comparison of various methods and algorithms for analyzing the functional connectivity of the human brain in resting state, developed in the world, based on an analysis of the literature.
dc.format.extentС. 400-404
dc.identifier.citationA Review of Method and Approaches for Resting State fMRI Analyses / Orlov, V.A. [et al.] // Advances in Intelligent Systems and Computing. - 2020. - 948. - P. 400-404. - 10.1007/978-3-030-25719-4_52
dc.identifier.doi10.1007/978-3-030-25719-4_52
dc.identifier.urihttps://www.doi.org/10.1007/978-3-030-25719-4_52
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85070196154&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/20022
dc.relation.ispartofAdvances in Intelligent Systems and Computing
dc.titleA Review of Method and Approaches for Resting State fMRI Analyses
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume948
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