Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder
- Abstract
- 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.
- All Author(s)
- Ji Sun Kim
; Young Wook Song
; Sungkean Kim
; Ji-Yoon Lee
; So Young Yoo
; Joon Hwan Jang
; Jung-Seok Choi
- Intsitutional Author(s)
- 김지선
- Issued Date
- 2024
- Type
- Article
- Keyword
- Electroencephalography; alcohol use disorder; internet gaming disorder; microstate analysis; microstate features
- Publisher
- Taylor & Francis
- ISSN
- 1294-8322
; 1958-5969
- Citation Title
- Dialogues in clinical neuroscience
- Citation Volume
- 26
- Citation Number
- 1
- Citation Start Page
- 89
- Citation End Page
- 102
- Language(ISO)
- eng
- DOI
- 10.1080/19585969.2024.2432913
- URI
- http://schca-ir.schmc.ac.kr/handle/2022.oak/4752
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