Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Some aspects of resting-state fMRI signal can be the key markers of depression. fMRI was recoded over 4 min in evidently healthy persons (N=21) and in patients with mild depression (N=21). The data were separated into the independent spatial components, and the strength of their association with established brain networks was analyzed. The patients with mild depression were characterized with greater correlations between the components representing the ventral and dorsal subdivisions of default mode network (DMN), whereas correlations between the components relating to cerebellum and to the left hemisphere language system were less pronounced. The data revealed a significant role of DMN in the development of affective abnormalities and importance of its functional state as a probable marker of mild depression.

About the authors

M. E. Mel’nikov

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

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

D. D. Bezmaternykh

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

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

E. D. Petrovskii

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

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

L. I. Kozlova

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

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

M. B. Shtark

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

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

A. A. Savelov

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

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

O. S. Shubina

Research Institute of Molecular Biology and Biophysics

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

K. A. Natarova

International Institute of Psychology and Psychotherapy

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


Copyright (c) 2017 Springer Science+Business Media, LLC

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies