TY - JOUR
T1 - Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder
AU - Kim, Ji Sun
AU - Song, Young Wook
AU - Kim, Sungkean
AU - Lee, Ji Yoon
AU - Yoo, So Young
AU - Jang, Joon Hwan
AU - Choi, Jung Seok
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2024
Y1 - 2024
N2 - Introduction: To investigate the neurophysiological aspects of addiction, the microstate characteristics of internet gaming disorder (IGD), alcohol use disorder (AUD), and healthy control (HC) groups were compared using resting-state electroencephalography (EEG). Methods: In total, 199 young adults (75 patients with IGD, 57 patients with AUD, and 67 HCs) participated in this study. We conducted EEG microstate analysis among the groups and also compared the obtained parameters with the results of psychological assessments. Results: The global explained variance, occurrence, and coverage of microstate C were significantly lower in the AUD group than in the IGD group. Additionally, rates of transition from microstates A, B, and D to C were significantly lower in the AUD group than in the IGD group, whereas rates of transition from microstate A to B were lower in the IGD group compared to HCs. Furthermore, the occurrence of microstate C and transition from microstate B to C were negatively correlated with the Alcohol Use Disorder Identification and Behavioural Inhibition Scale score. Conclusion: There were significant differences in microstate characteristics among the groups, which correlated with the psychological scores. These findings suggest that microstate features can be used as neuromarkers in clinical settings to differentiate between addictive disorders and evaluate the pathophysiology of AUD and IGD.
AB - Introduction: To investigate the neurophysiological aspects of addiction, the microstate characteristics of internet gaming disorder (IGD), alcohol use disorder (AUD), and healthy control (HC) groups were compared using resting-state electroencephalography (EEG). Methods: In total, 199 young adults (75 patients with IGD, 57 patients with AUD, and 67 HCs) participated in this study. We conducted EEG microstate analysis among the groups and also compared the obtained parameters with the results of psychological assessments. Results: The global explained variance, occurrence, and coverage of microstate C were significantly lower in the AUD group than in the IGD group. Additionally, rates of transition from microstates A, B, and D to C were significantly lower in the AUD group than in the IGD group, whereas rates of transition from microstate A to B were lower in the IGD group compared to HCs. Furthermore, the occurrence of microstate C and transition from microstate B to C were negatively correlated with the Alcohol Use Disorder Identification and Behavioural Inhibition Scale score. Conclusion: There were significant differences in microstate characteristics among the groups, which correlated with the psychological scores. These findings suggest that microstate features can be used as neuromarkers in clinical settings to differentiate between addictive disorders and evaluate the pathophysiology of AUD and IGD.
KW - alcohol use disorder
KW - Electroencephalography
KW - internet gaming disorder
KW - microstate analysis
KW - microstate features
UR - https://www.scopus.com/pages/publications/85210499885
U2 - 10.1080/19585969.2024.2432913
DO - 10.1080/19585969.2024.2432913
M3 - Article
C2 - 39601360
AN - SCOPUS:85210499885
SN - 1294-8322
VL - 26
SP - 89
EP - 102
JO - Dialogues in Clinical Neuroscience
JF - Dialogues in Clinical Neuroscience
IS - 1
ER -