Functional Connectivity of Brain Regions According to Resting State fMRI: Differences between Healthy and Depressed Subjects and Variability of the Results


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In depressed patients, changes in spontaneous brain activity, in particular, the strength of functional connectivity between different regions are observed. The data on changes in the synchrony of different regions of interest in the brain can serve as markers of depressive symptoms and as the targets for the corresponding therapy. The study involved 21 patients with mild depression and 21 healthy volunteers; by the time of second fMRI scanning, 15 and 19 subjects, respectively). The subjects underwent two 4-min sessions of resting state fMRI with 2-4 months interval between the recordings; on the basis of these data, functional connectivity between regions of interest was assessed. During the first session, depressed patients demonstrated more pronounced connection between the right frontal eye field and cerebellar area III. When the sample was restricted to subjects who underwent both fMRI sessions, depressed patients demonstrated closer relations of the right parietal operculum and cerebellar vermis area VIII. During the second recording, healthy subjects showed stronger connectivity between more than 20 frontal, temporal, and subcortical regions of interest and cerebellum area II. In healthy participants, brainstem functional interactions increased from the first to the second fMRI-recording. In depressed subjects a number of cortical areas split from left intraparietal sulcus, but the left temporal cortex became more intra-connected. The results confirm the differences in functional connectivity between depressed and healthy subjects. At the same time, attention should be paid to the variability of the data obtained.

作者简介

D. Bezmaternykh

Research Institute of Molecular Biology and Biophysics; Novosibirsk National Research State University

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk; Novosibirsk

M. Mel’nikov

Research Institute of Molecular Biology and Biophysics; Novosibirsk National Research State University

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Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk; Novosibirsk

L. Kozlova

Research Institute of Molecular Biology and Biophysics; Novosibirsk National Research State University

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk; Novosibirsk

M. Shtark

Research Institute of Molecular Biology and Biophysics; Novosibirsk National Research State University

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk; Novosibirsk

A. Savelov

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

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk

E. Petrovskii

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

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk

O. Shubina

Research Institute of Molecular Biology and Biophysics

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk

K. Natarova

International Institute of Psychology and Psychotherapy

Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk


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