A Study of Resting-State EEG-Based Recognition of Emotional Regulation Difficulties

Emotion regulation refers to the conscious or unconscious strategies that an individual employs in response to an emotional experience to adjust the intensity and duration of the emotional response in order to adapt to the current environment and situational demands. When emotions are not being successfully regulated, we use emotion regulation difficulties to describe. Current identification of emotion regulation difficulties are based on the questionnaire form of the Difficulties in Emotion Regulation Scale (DERS), Because the EEG signal is a direct measurement of the electrical activity of the cerebral cortex, it can capture the brain waves related to emotions, and the resting-state EEG data collection experiment is simple to operate, with a small experimental error and reflecting the individual's underlying neural activity pattern. Therefore, in this study, we attempted to recognize emotion regulation difficulties by resting-state EEG signals, constructed a database of emotion regulation difficulties based on resting-state EEG (DERS-reEEG), and built an emotion regulation difficulties recognition model based on transformer architecture. The model allows for dichotomous identification of yes and no emotion regulation difficulties, and also identifies the dimensions in which those with emotional regulation difficulties have regulation difficulties. This study could be a good early screen for emotion regulation difficulties, and numerous studies have demon strated that interventions for emotion regulation difficulties can prevent or alleviate various types of psychiatric disorders.