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The Association between Emotion Regulation Strategy and Oscillation Balance of Resting State Networks. / Bocharov, A. V.; Savostyanov, A. N.; Tamozhnikov, S. S. et al.

In: Human Physiology, Vol. 48, No. 1, 4, 02.2022, p. 30-36.

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Bocharov AV, Savostyanov AN, Tamozhnikov SS, Proshina EA, Knyazev GG. The Association between Emotion Regulation Strategy and Oscillation Balance of Resting State Networks. Human Physiology. 2022 Feb;48(1):30-36. 4. doi: 10.1134/S0362119722010030

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@article{9cc7222eea9c4db5bf9073b234b2ea50,
title = "The Association between Emotion Regulation Strategy and Oscillation Balance of Resting State Networks",
abstract = "The aim was to study the effect of adaptive (cognitive reappraisal) and non-adaptive (expressive suppression, suppression, and rumination) styles of emotion regulation on the balance of connectivity of resting state networks. Fifty-one healthy volunteers (29 women) aged from 18 to 51 years gave their permission to recordings their EEGs at rest and filled in the Emotional Regulation Questionnaire (Gross), White Bear Suppression Inventory and Ruminative Responses Scale. The connectivity measures of resting state networks were evaluated based on EEG data. Networks were identified using the “seed” method. The effects of different styles of emotional regulation on the balance of connectivity of networks were analyzed by regression method. Non-adaptive styles of emotional regulation (suppression and rumination) correlated with the dominance of the default mode network in the right temporal cortex, that could reflect the processes of emotional introspection. The adaptive strategy cognitive reappraisal of emotions correlated with the dominance of task-positive networks in the left dorsolateral prefrontal cortex, such result may be associated with more effective control of negative thoughts and a higher level of positive emotions.",
keywords = "cognitive reappraisal, default mode network, EEG, expressive suppression, rumination, suppression, task-positive networks",
author = "Bocharov, {A. V.} and Savostyanov, {A. N.} and Tamozhnikov, {S. S.} and Proshina, {E. A.} and Knyazev, {G. G.}",
note = "Funding Information: The work was supported by RFBR (project no. 20-013-00404, research conduct; project no. 18-29-13027, article preparation) and federal budget for fundamental research (theme no. АААА-А21-121011990039-2, data analysis method development). Publisher Copyright: {\textcopyright} 2022, Pleiades Publishing, Inc.",
year = "2022",
month = feb,
doi = "10.1134/S0362119722010030",
language = "English",
volume = "48",
pages = "30--36",
journal = "Human Physiology",
issn = "0362-1197",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "1",

}

RIS

TY - JOUR

T1 - The Association between Emotion Regulation Strategy and Oscillation Balance of Resting State Networks

AU - Bocharov, A. V.

AU - Savostyanov, A. N.

AU - Tamozhnikov, S. S.

AU - Proshina, E. A.

AU - Knyazev, G. G.

N1 - Funding Information: The work was supported by RFBR (project no. 20-013-00404, research conduct; project no. 18-29-13027, article preparation) and federal budget for fundamental research (theme no. АААА-А21-121011990039-2, data analysis method development). Publisher Copyright: © 2022, Pleiades Publishing, Inc.

PY - 2022/2

Y1 - 2022/2

N2 - The aim was to study the effect of adaptive (cognitive reappraisal) and non-adaptive (expressive suppression, suppression, and rumination) styles of emotion regulation on the balance of connectivity of resting state networks. Fifty-one healthy volunteers (29 women) aged from 18 to 51 years gave their permission to recordings their EEGs at rest and filled in the Emotional Regulation Questionnaire (Gross), White Bear Suppression Inventory and Ruminative Responses Scale. The connectivity measures of resting state networks were evaluated based on EEG data. Networks were identified using the “seed” method. The effects of different styles of emotional regulation on the balance of connectivity of networks were analyzed by regression method. Non-adaptive styles of emotional regulation (suppression and rumination) correlated with the dominance of the default mode network in the right temporal cortex, that could reflect the processes of emotional introspection. The adaptive strategy cognitive reappraisal of emotions correlated with the dominance of task-positive networks in the left dorsolateral prefrontal cortex, such result may be associated with more effective control of negative thoughts and a higher level of positive emotions.

AB - The aim was to study the effect of adaptive (cognitive reappraisal) and non-adaptive (expressive suppression, suppression, and rumination) styles of emotion regulation on the balance of connectivity of resting state networks. Fifty-one healthy volunteers (29 women) aged from 18 to 51 years gave their permission to recordings their EEGs at rest and filled in the Emotional Regulation Questionnaire (Gross), White Bear Suppression Inventory and Ruminative Responses Scale. The connectivity measures of resting state networks were evaluated based on EEG data. Networks were identified using the “seed” method. The effects of different styles of emotional regulation on the balance of connectivity of networks were analyzed by regression method. Non-adaptive styles of emotional regulation (suppression and rumination) correlated with the dominance of the default mode network in the right temporal cortex, that could reflect the processes of emotional introspection. The adaptive strategy cognitive reappraisal of emotions correlated with the dominance of task-positive networks in the left dorsolateral prefrontal cortex, such result may be associated with more effective control of negative thoughts and a higher level of positive emotions.

KW - cognitive reappraisal

KW - default mode network

KW - EEG

KW - expressive suppression

KW - rumination

KW - suppression

KW - task-positive networks

UR - http://www.scopus.com/inward/record.url?scp=85126081372&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e952efa0-8774-309b-8656-a12176a266f5/

U2 - 10.1134/S0362119722010030

DO - 10.1134/S0362119722010030

M3 - Article

AN - SCOPUS:85126081372

VL - 48

SP - 30

EP - 36

JO - Human Physiology

JF - Human Physiology

SN - 0362-1197

IS - 1

M1 - 4

ER -

ID: 35689188