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静息态 EEG 微观状态分析在网络成瘾障碍和酒精使用障碍中的应用。

Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder.

机构信息

Department of Psychiatry, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea.

Department of Applied Artificial Intelligence, Hanyang University, Ansan, Republic of Korea.

出版信息

Dialogues Clin Neurosci. 2024;26(1):89-102. doi: 10.1080/19585969.2024.2432913. Epub 2024 Nov 27.

DOI:10.1080/19585969.2024.2432913
PMID:39601360
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11610357/
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.

摘要

简介

为了研究成瘾的神经生理学方面,本研究使用静息态脑电图(EEG)比较了网络成瘾障碍(IGD)、酒精使用障碍(AUD)和健康对照组(HC)的微状态特征。

方法

共有 199 名年轻成年人(75 名 IGD 患者、57 名 AUD 患者和 67 名 HC)参与了这项研究。我们对各组进行了 EEG 微状态分析,并将获得的参数与心理评估结果进行了比较。

结果

AUD 组的全局解释方差、出现率和微状态 C 的覆盖率明显低于 IGD 组。此外,AUD 组从微状态 A、B 和 D 到 C 的转换率明显低于 IGD 组,而 IGD 组从微状态 A 到 B 的转换率低于 HC 组。此外,微状态 C 的出现和从微状态 B 到 C 的转换与酒精使用障碍识别和行为抑制量表评分呈负相关。

结论

各组的微状态特征存在显著差异,与心理评分相关。这些发现表明,微状态特征可作为临床环境中的神经标志物,用于区分成瘾障碍,并评估 AUD 和 IGD 的病理生理学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/b95bd049d923/TDCN_A_2432913_F0003_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/dbd1b8eef004/TDCN_A_2432913_F0001_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/5d25d410e319/TDCN_A_2432913_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/b95bd049d923/TDCN_A_2432913_F0003_B.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/dbd1b8eef004/TDCN_A_2432913_F0001_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/5d25d410e319/TDCN_A_2432913_F0002_C.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d27/11610357/b95bd049d923/TDCN_A_2432913_F0003_B.jpg

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