Emotion Self-Regulation in Neurotic Students: A Pilot Mindfulness-Based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data

Izhar, L.I. and Babiker, A. and Rizki, E.E. and Lu, C.-K. and Rahman, M.A. (2022) Emotion Self-Regulation in Neurotic Students: A Pilot Mindfulness-Based Intervention to Assess Its Effectiveness through Brain Signals and Behavioral Data. Sensors, 22 (7). ISSN 14248220

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Abstract

Neuroticism has recently received increased attention in the psychology field due to the finding of high implications of neuroticism on an individual�s life and broader public health. This study aims to investigate the effect of a brief 6-week breathing-based mindfulness intervention (BMI) on undergraduate neurotic students� emotion regulation. We acquired data of their psychological states, physiological changes, and electroencephalogram (EEG), before and after BMI, in resting states and tasks. Through behavioral analysis, we found the students� anxiety and stress levels significantly reduced after BMI, with p-values of 0.013 and 0.027, respectively. Furthermore, a significant difference between students in emotion regulation strategy, that is, suppression, was also shown. The EEG analysis demonstrated significant differences between students before and after MI in resting states and tasks. Fp1 and O2 channels were identified as the most significant channels in evaluating the effect of BMI. The potential of these channels for classifying (single-channel-based) before and after BMI conditions during eyes-opened and eyes-closed baseline trials were displayed by a good performance in terms of accuracy (~77), sensitivity (76�80), specificity (73�77), and area-underthe-curve (AUC) (0.66�0.8) obtained by k-nearest neighbor (KNN) and support vector machine (SVM) algorithms. Mindfulness can thus improve the self-regulation of the emotional state of neurotic students based on the psychometric and electrophysiological analyses conducted in this study. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Item Type: Article
Additional Information: cited By 3
Uncontrolled Keywords: Deregulation; Electroencephalography; Nearest neighbor search; Students; Support vector machines, Behavioral data; Brain signals; Emotion regulations; Mindfulness; Neuroticism; Psychological state; Resting state; Self regulation; Signal data; Student emotions, Electrophysiology, brain; emotion; human; mindfulness; physiology; psychology; student, Brain; Emotional Regulation; Emotions; Humans; Mindfulness; Students
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 19 Dec 2023 03:23
Last Modified: 19 Dec 2023 03:23
URI: https://khub.utp.edu.my/scholars/id/eprint/16925

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