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Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks. / Bocharov, A. V.; Knyazev, G. G.; Savostyanov, A. N. et al.

In: Human Physiology, Vol. 47, No. 2, 03.2021, p. 123-127.

Research output: Contribution to journal › Article › peer-review

Harvard

Bocharov, AV, Knyazev, GG, Savostyanov, AN, Saprygin, AE, Proshina, EA & Tamozhnikov, SS 2021, 'Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks', Human Physiology, vol. 47, no. 2, pp. 123-127. https://doi.org/10.1134/S0362119721010023

APA

Bocharov, A. V., Knyazev, G. G., Savostyanov, A. N., Saprygin, A. E., Proshina, E. A., & Tamozhnikov, S. S. (2021). Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks. Human Physiology, 47(2), 123-127. https://doi.org/10.1134/S0362119721010023

Vancouver

Bocharov AV, Knyazev GG, Savostyanov AN, Saprygin AE, Proshina EA, Tamozhnikov SS. Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks. Human Physiology. 2021 Mar;47(2):123-127. doi: 10.1134/S0362119721010023

Author

Bocharov, A. V. ; Knyazev, G. G. ; Savostyanov, A. N. et al. / Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks. In: Human Physiology. 2021 ; Vol. 47, No. 2. pp. 123-127.

BibTeX

@article{38ca70c59a1847018556f4b73ee210bf,
title = "Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks",
abstract = "The aim of the research was to study the effect of depression, anxiety, and rumination scores on the balance of activity of the default mode network and attention networks revealed in the resting state EEG records. Forty-five healthy volunteers (24 men aged from 18 to 25 years) participated in the resting state EEG recording. The participants filled in the Beck Depression Inventory-II (BDI II), Ruminative Responses Scale, and Eysenck Personality Profiler. The connectivity measures of resting state networks were calculated in EEG data. The networks were detected by the “seed” method. The effects of depressive symptoms, anxiety, and rumination on the connectivity of the networks were analyzed by the regression method. The depressive symptom scores and the rumination scores were correlated with the dominance of the default mode network over attention networks in the right temporal cortex. The depression scores and the anxiety scores were correlated with the dominance of attention networks over the default mode network in the anterior cingulate cortex. It could be suggested that rumination processes are specific for depressive symptoms and are reflected in the dominance of the default mode network in brain structures associated with the processing of emotional introspection. Common to depressive and anxious symptoms is a state of alertness, which is reflected in the dominance of attention networks in brain structures associated with decision-making.",
keywords = "anxiety, attention networks, default mode network, depression, EEG, rumination",
author = "Bocharov, {A. V.} and Knyazev, {G. G.} and Savostyanov, {A. N.} and Saprygin, {A. E.} and Proshina, {E. A.} and Tamozhnikov, {S. S.}",
note = "Funding Information: The study was supported by the federal budget for basic scientific research (research no. AAAA-A16-116021010228-0, data collection and analysis) and RFBR (project No. 18-00-00939, development of data analysis methods, project No. 20-013-00404, preparation of the article, project No. 18-415-140 021, additional data collection). Publisher Copyright: {\textcopyright} 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = mar,
doi = "10.1134/S0362119721010023",
language = "English",
volume = "47",
pages = "123--127",
journal = "Human Physiology",
issn = "0362-1197",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "2",

}

RIS

TY - JOUR

T1 - Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks

AU - Bocharov, A. V.

AU - Knyazev, G. G.

AU - Savostyanov, A. N.

AU - Saprygin, A. E.

AU - Proshina, E. A.

AU - Tamozhnikov, S. S.

N1 - Funding Information: The study was supported by the federal budget for basic scientific research (research no. AAAA-A16-116021010228-0, data collection and analysis) and RFBR (project No. 18-00-00939, development of data analysis methods, project No. 20-013-00404, preparation of the article, project No. 18-415-140 021, additional data collection). Publisher Copyright: © 2021, The Author(s). Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/3

Y1 - 2021/3

N2 - The aim of the research was to study the effect of depression, anxiety, and rumination scores on the balance of activity of the default mode network and attention networks revealed in the resting state EEG records. Forty-five healthy volunteers (24 men aged from 18 to 25 years) participated in the resting state EEG recording. The participants filled in the Beck Depression Inventory-II (BDI II), Ruminative Responses Scale, and Eysenck Personality Profiler. The connectivity measures of resting state networks were calculated in EEG data. The networks were detected by the “seed” method. The effects of depressive symptoms, anxiety, and rumination on the connectivity of the networks were analyzed by the regression method. The depressive symptom scores and the rumination scores were correlated with the dominance of the default mode network over attention networks in the right temporal cortex. The depression scores and the anxiety scores were correlated with the dominance of attention networks over the default mode network in the anterior cingulate cortex. It could be suggested that rumination processes are specific for depressive symptoms and are reflected in the dominance of the default mode network in brain structures associated with the processing of emotional introspection. Common to depressive and anxious symptoms is a state of alertness, which is reflected in the dominance of attention networks in brain structures associated with decision-making.

AB - The aim of the research was to study the effect of depression, anxiety, and rumination scores on the balance of activity of the default mode network and attention networks revealed in the resting state EEG records. Forty-five healthy volunteers (24 men aged from 18 to 25 years) participated in the resting state EEG recording. The participants filled in the Beck Depression Inventory-II (BDI II), Ruminative Responses Scale, and Eysenck Personality Profiler. The connectivity measures of resting state networks were calculated in EEG data. The networks were detected by the “seed” method. The effects of depressive symptoms, anxiety, and rumination on the connectivity of the networks were analyzed by the regression method. The depressive symptom scores and the rumination scores were correlated with the dominance of the default mode network over attention networks in the right temporal cortex. The depression scores and the anxiety scores were correlated with the dominance of attention networks over the default mode network in the anterior cingulate cortex. It could be suggested that rumination processes are specific for depressive symptoms and are reflected in the dominance of the default mode network in brain structures associated with the processing of emotional introspection. Common to depressive and anxious symptoms is a state of alertness, which is reflected in the dominance of attention networks in brain structures associated with decision-making.

KW - anxiety

KW - attention networks

KW - default mode network

KW - depression

KW - EEG

KW - rumination

UR - http://www.scopus.com/inward/record.url?scp=85107776827&partnerID=8YFLogxK

U2 - 10.1134/S0362119721010023

DO - 10.1134/S0362119721010023

M3 - Article

AN - SCOPUS:85107776827

VL - 47

SP - 123

EP - 127

JO - Human Physiology

JF - Human Physiology

SN - 0362-1197

IS - 2

ER -

ID: 29237103