Children Emotion Regulation: Development of Neural Marker by Investigating Human Brain Signals

Abstract

Affects recognition and regulation has become an interesting research topic given the noninvasive application of electroencephalography (EEG). EEG patterns are generated through electrical activity over the human scalp, but the collected data from these sensors are quite complex due to noise and artifacts. Given the complex nature of human brain signals, emotion recognition and regulation are still challenging problems. By emphasizing and aiming to improve the human living, how could be possible to prevent emotional or behavioral disorder in children in their early age? Therefore, it is essential to investigate the children's emotions. In this study, we present a mechanism to regulate children's emotions. Over 40 subjects' EEG data were collected and performed a late-positive-potential (LPP) analysis in EEGLAB. By investigating late positive potential during emotion regulatory analysis, we find a significant difference in modulation and amplitude between control/special subjects that may help in early detection of mood disruption problems.