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事件相关电位测量的互联网游戏障碍和酒精使用障碍信息处理的神经生理差异。

Differential neurophysiological correlates of information processing in Internet gaming disorder and alcohol use disorder measured by event-related potentials.

机构信息

Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.

Department of Psychiatry, Seoul St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul, Republic of Korea.

出版信息

Sci Rep. 2017 Aug 22;7(1):9062. doi: 10.1038/s41598-017-09679-z.

DOI:10.1038/s41598-017-09679-z
PMID:28831146
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5567258/
Abstract

Internet gaming disorder (IGD) shares clinical and neuropsychological features with alcohol use disorder (AUD), but few studies have identified the neurophysiological characteristics of IGD. We investigated the N100 and P300 event-related potentials (ERPs) in patients with IGD to compare them with those of patients with AUD and healthy controls (HCs). Twenty-six patients with IGD, 22 patients with AUD, and 29 HCs participated in this study. ERPs were acquired from young male adults during an auditory oddball task. Between-group differences in N100 and P300 were investigated separately using repeated-measures analysis of variance. Correlations between the ERP values and neurocognitive functioning of each group were examined. Both the IGD and AUD groups showed reduced P300 amplitudes at the midline central and parietal area compared with the HCs. The IGD exhibited reduced N100 amplitudes at the midline frontal area compared with the HCs. The reduced P300 were correlated with a higher spatial span error rate in the IGD. The reduced N100 and P300 were not correlated with Internet addiction severity scores in the IGD. These results indicate that IGD have abnormalities in the P300 comparable to those in AUD. Moreover, the reduction in N100 could be considered a candidate trait marker for IGD.

摘要

网络成瘾障碍(IGD)在临床和神经心理学特征上与酒精使用障碍(AUD)相似,但很少有研究确定 IGD 的神经生理学特征。我们研究了 IGD 患者的 N100 和 P300 事件相关电位(ERPs),并将其与 AUD 患者和健康对照组(HCs)进行比较。本研究共纳入 26 名 IGD 患者、22 名 AUD 患者和 29 名 HCs。在听觉Oddball 任务中,对年轻男性成年人进行了 ERPs 采集。使用重复测量方差分析分别研究了 N100 和 P300 的组间差异。还检查了每组 ERP 值与神经认知功能之间的相关性。与 HCs 相比,IGD 和 AUD 组在中线中央和顶区的 P300 振幅均降低。IGD 在中线额区的 N100 振幅降低。IGD 中降低的 P300 与较高的空间跨度错误率相关。IGD 中降低的 N100 和 P300 与网络成瘾严重程度评分无关。这些结果表明,IGD 在 P300 方面存在与 AUD 相似的异常。此外,N100 的降低可被视为 IGD 的候选特征标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fee/5567258/7ab80c465af9/41598_2017_9679_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fee/5567258/7ab80c465af9/41598_2017_9679_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fee/5567258/7ab80c465af9/41598_2017_9679_Fig1_HTML.jpg

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Eur Psychiatry. 2017 Jul;44:30-38. doi: 10.1016/j.eurpsy.2017.03.004. Epub 2017 Mar 30.
2
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3
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4
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J Clin Med. 2024 Aug 28;13(17):5110. doi: 10.3390/jcm13175110.
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Brain Sci. 2021 Dec 11;11(12):1635. doi: 10.3390/brainsci11121635.
7
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9
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10
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