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. © 2022, Pleiades Publishing, Inc.