Measurement of EEG-Based Neural Oscillation Frequency Bands During Emotional Regulation Tasks: A Signal Processing Approach
Zarina Akbar (a*), Samet Celik (b), Mauna (c), Ernita Zakiah (c)

a) Faculty of Psychology, Universitas Negeri Jakarta, Jalan Rawamangun Muka, East Jakarta, Jakarta, Postal Code 13220, Indonesia
* zarina_akbar[at]unj.ac.id
b) Department of Psychology, Bartin University, Bartin, Turkey
c) Faculty of Psychology, Universitas Negeri Jakarta, Jakarta, Indonesia

Abstract

Emotional regulation is a psychological mechanism intricately linked to neural function and cognitive adjustment. Recent progress in neuroscience has shown that neural oscillations significantly influence emotional processing, attentional control, and adaptive behavioral responses. This research explores the connection between neural oscillatory activity and emotional regulation through a biopsychosocial lens by merging psychological theories of emotion with brainwave dynamics and neurophysiological processes. The study seeks to explore how neural synchronization patterns influence both adaptive and maladaptive emotional regulation in young adults. A quantitative explanatory method was utilized, involving university students between the ages of 18 and 25. Neural activity was evaluated through electroencephalography (EEG) recordings concentrating on alpha, beta, and theta wave oscillations during tasks that stimulated emotions. Psychological data were gathered through established emotional regulation and psychological well-being assessments. Data examination incorporated spectral frequency analysis. The results suggest that heightened alpha wave synchronization correlates with effective emotional regulation and improved psychological well-being, while excessive beta activity is strongly linked to emotional instability, anxiety, and cognitive strain. Theta oscillations were recognized for their role in emotional awareness and reflective processing during tasks involving emotional regulation. This research adds to cross-disciplinary dialogues among psychology, neuroscience, social, and biophysics by suggesting a cohesive model that connects neural oscillation dynamics to emotional regulation mechanisms. The results carry significant implications for mental health treatments, emotional training using neurofeedback, and the creation of psychology therapies based on neuroscience. Furthermore, the research enhances comprehension of emotional functioning by utilizing a biopsychosocial and computational neuroscience approach.

Keywords: EEG- Neural Oscillation- Emotional Regulation- Neuroscience- Brainwave Dynamics

Topic: Medical Physics and Biophysics