TY - JOUR

T1 - Neurocomputational Method for Estimation of Balance of Resting-State Oscillatory Networks Associated With Personal Style of Emotional Regulation

AU - Bocharov, Andrey

PY - 2021/10

Y1 - 2021/10

N2 - The seed-based connectivity analysis of resting state EEG records was used to study the associations of balance of connectivity of the default mode network (DMN) and task-positive networks (TPNs) with a personal style of emotional regulation. 50 healthy volunteers (22 men) aged from 18 to 50 years participated in the resting state EEG recording. Subjects filled in the Emotional Regulation Questionnaire (Gross, John, 2003), Ruminative Responses Scale (Treynor et al., 2003) and White Bear Suppression Inventory (Wegner, Zanakos, 1994). The connectivity measures of resting state networks were calculated in EEG data. Cortical sources of electrical activity were localized using the beamforming method (Van Veen et al., 1997) in the DAiSS package. The orthogonalization method was applied for the correction of the signal leakage arising from the poor spatial resolution of the source localization. Hilbert transform was applied for calculation the amplitude of the signal envelope after reducing the sampling rate to 1 sec (Brookes et al., 2012). To reveal the effects of different styles of emotional regulation on the balance of connectivity between DMN and TPN, their regression was performed on the contrast DMN > TPN, or DMN < TPN. TPN dominated over DMN in the left dorsolateral prefrontal cortex in subjects with higher cognitive reappraisal scores. In subjects with higher scores of suppression and rumination, DMN dominated over TPN in the right temporal cortex. Dominance of TPN over DMN in the left dorsolateral prefrontal cortex may be associated with more effective control of negative thoughts and emotions in subjects with higher preference of the adaptive strategy cognitive reappraisal of emotions. Dominance of DMN over TPN in the right temporal cortex may be related with the processes of emotional introspection in subjects with higher preference of non-adaptive styles of emotional regulation. The study was supported by the Russian Foundation for Basic Research (RFBR) under Grants № 20-013-00404 and № 18-29-13027.

AB - The seed-based connectivity analysis of resting state EEG records was used to study the associations of balance of connectivity of the default mode network (DMN) and task-positive networks (TPNs) with a personal style of emotional regulation. 50 healthy volunteers (22 men) aged from 18 to 50 years participated in the resting state EEG recording. Subjects filled in the Emotional Regulation Questionnaire (Gross, John, 2003), Ruminative Responses Scale (Treynor et al., 2003) and White Bear Suppression Inventory (Wegner, Zanakos, 1994). The connectivity measures of resting state networks were calculated in EEG data. Cortical sources of electrical activity were localized using the beamforming method (Van Veen et al., 1997) in the DAiSS package. The orthogonalization method was applied for the correction of the signal leakage arising from the poor spatial resolution of the source localization. Hilbert transform was applied for calculation the amplitude of the signal envelope after reducing the sampling rate to 1 sec (Brookes et al., 2012). To reveal the effects of different styles of emotional regulation on the balance of connectivity between DMN and TPN, their regression was performed on the contrast DMN > TPN, or DMN < TPN. TPN dominated over DMN in the left dorsolateral prefrontal cortex in subjects with higher cognitive reappraisal scores. In subjects with higher scores of suppression and rumination, DMN dominated over TPN in the right temporal cortex. Dominance of TPN over DMN in the left dorsolateral prefrontal cortex may be associated with more effective control of negative thoughts and emotions in subjects with higher preference of the adaptive strategy cognitive reappraisal of emotions. Dominance of DMN over TPN in the right temporal cortex may be related with the processes of emotional introspection in subjects with higher preference of non-adaptive styles of emotional regulation. The study was supported by the Russian Foundation for Basic Research (RFBR) under Grants № 20-013-00404 and № 18-29-13027.

UR - https://www.mendeley.com/catalogue/74973dc8-6d64-3808-b879-27bbc996d9c8/

U2 - 10.1016/j.ijpsycho.2021.07.033

DO - 10.1016/j.ijpsycho.2021.07.033

M3 - Meeting Abstract

VL - 168

SP - S12-S12

JO - International Journal of Psychophysiology

JF - International Journal of Psychophysiology

SN - 0167-8760

ER -