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Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions. / Mel’nikov, M. E.; Bezmaternykh, D. D.; Petrovskii, E. D. et al.

In: Bulletin of Experimental Biology and Medicine, Vol. 163, No. 4, 01.08.2017, p. 497-499.

Research output: Contribution to journalArticlepeer-review

Harvard

Mel’nikov, ME, Bezmaternykh, DD, Petrovskii, ED, Kozlova, LI, Shtark, MB, Savelov, AA, Shubina, OS & Natarova, KA 2017, 'Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions', Bulletin of Experimental Biology and Medicine, vol. 163, no. 4, pp. 497-499. https://doi.org/10.1007/s10517-017-3837-4

APA

Mel’nikov, M. E., Bezmaternykh, D. D., Petrovskii, E. D., Kozlova, L. I., Shtark, M. B., Savelov, A. A., Shubina, O. S., & Natarova, K. A. (2017). Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions. Bulletin of Experimental Biology and Medicine, 163(4), 497-499. https://doi.org/10.1007/s10517-017-3837-4

Vancouver

Mel’nikov ME, Bezmaternykh DD, Petrovskii ED, Kozlova LI, Shtark MB, Savelov AA et al. Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions. Bulletin of Experimental Biology and Medicine. 2017 Aug 1;163(4):497-499. doi: 10.1007/s10517-017-3837-4

Author

Mel’nikov, M. E. ; Bezmaternykh, D. D. ; Petrovskii, E. D. et al. / Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions. In: Bulletin of Experimental Biology and Medicine. 2017 ; Vol. 163, No. 4. pp. 497-499.

BibTeX

@article{a384e1bfb70b43198f98ea4c916ad586,
title = "Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions",
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.",
keywords = "analysis of independent components, default mode network, depression, resting-state fMRI",
author = "Mel{\textquoteright}nikov, {M. E.} and Bezmaternykh, {D. D.} and Petrovskii, {E. D.} and Kozlova, {L. I.} and Shtark, {M. B.} and Savelov, {A. A.} and Shubina, {O. S.} and Natarova, {K. A.}",
year = "2017",
month = aug,
day = "1",
doi = "10.1007/s10517-017-3837-4",
language = "English",
volume = "163",
pages = "497--499",
journal = "Bulletin of Experimental Biology and Medicine",
issn = "0007-4888",
publisher = "Springer New York",
number = "4",

}

RIS

TY - JOUR

T1 - Peculiarities in Interaction of Independent Components of Resting-State fMRI Signal in Patients with Mild Depressions

AU - Mel’nikov, M. E.

AU - Bezmaternykh, D. D.

AU - Petrovskii, E. D.

AU - Kozlova, L. I.

AU - Shtark, M. B.

AU - Savelov, A. A.

AU - Shubina, O. S.

AU - Natarova, K. A.

PY - 2017/8/1

Y1 - 2017/8/1

N2 - 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.

AB - 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.

KW - analysis of independent components

KW - default mode network

KW - depression

KW - resting-state fMRI

UR - http://www.scopus.com/inward/record.url?scp=85028753010&partnerID=8YFLogxK

U2 - 10.1007/s10517-017-3837-4

DO - 10.1007/s10517-017-3837-4

M3 - Article

AN - SCOPUS:85028753010

VL - 163

SP - 497

EP - 499

JO - Bulletin of Experimental Biology and Medicine

JF - Bulletin of Experimental Biology and Medicine

SN - 0007-4888

IS - 4

ER -

ID: 9915703