Estimation of the Composition of the Resting State fMRI Networks in Subjects with Mild Depression and Healthy Volunteers


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Depressive disorders can be associated with changes in not only interaction between neural networks, but also in their composition. Resting state fMRI scanning was performed for 4 min twice for each subject and the results of patients with mild depression (N=15) and healthy subjects (N=19) were analyzed. The fMRI signal was reduced into the independent components and the contrasts between the groups and between the first and second records were constructed for each component. During the first scanning, the auditory network of individuals with depression involved greater volume in the left insular region and lower volume in the right hemisphere. In record 2, depression patients were characterized by expansion of the executive network in the left hemisphere in the region of the middle and inferior frontal cortex. In healthy people, from record 1 to record 2, representation of the dorsal default mode network (DMN) increased in the left medial prefrontal area, the precuneus network expanded in the left hemisphere, and presentation of the ventral DMN in the right precuneus decreased. In the depression group, the auditory network lost some part of the left temporo-insular cortex; the sensorimotor network expanded in the left hemisphere to the cerebellum or to the central parietal region depending on the evaluation method, and the visuospatial network included or excluded a cluster in the left parietal lobe (in different points). Our findings indicate that connection of the auditory network with the left insular cortex could be a possible depression marker and also demonstrate a possibility of evaluating the composition of cerebral networks in intergroup comparisons and in dynamics without interventions.

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

编辑信件的主要联系方式.
Email: mikhail-melnikov@mail.ru
俄罗斯联邦, Novosibirsk; 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

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. Stark

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

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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