Signs of Problematic Internet use Affect Resting-State EEG Microstates.

IF 2.9 3区 医学 Q3 CLINICAL NEUROLOGY
Dovile Simkute, Povilas Tarailis, Inga Griskova-Bulanova
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引用次数: 0

Abstract

Easy access, overuse, and misuse of the internet have contributed to the rise of Problematic Internet Use (PIU). Despite a growing body of research linking excessive and addictive digital media use to adverse physical, psychological, social, and neurological consequences, identifying robust and widely accepted neurophysiological markers of PIU severity remains a significant challenge and a leading focus within the field. In this study, 156 healthy regular internet users (70 males; aged 18-35) were assessed using the PIUQ-9 questionnaire, along with measures of anxiety, depression, and obsessive-compulsive symptoms. Resting-state electroencephalogram (EEG) was recorded, and microstates (MS) of EEG were assessed. Psychological and neurophysiological profiles were examined both within the full sample and through comparisons between High and Low PIU groups. The microstate analysis resulted in extraction of 7 MS classes. A significant association between increased occurrence rate and time coverage of MS E - associated with interoception, salience and emotional processing, and PIU scores, both in the full sample and in High vs. Low group comparisons. Furthermore, parameters of MS B, MS C, and MS D showed significant negative associations with anxiety and obsessive-compulsive symptoms. These findings suggest that altered MS E dynamics, may represent a potential early functional biomarker of PIU, reflecting neural changes specifically associated with problematic internet behavior, rather than with psychological traits reflecting general psychopathology, particularly anxiety symptoms.

有问题的互联网使用的迹象影响静息状态脑电图微观状态。
互联网的易访问、过度使用和误用导致了问题互联网使用(PIU)的上升。尽管越来越多的研究将过度和成瘾的数字媒体使用与不利的身体、心理、社会和神经后果联系起来,但识别PIU严重程度的强大且被广泛接受的神经生理标记仍然是一个重大挑战,也是该领域的主要焦点。在这项研究中,156名健康的经常上网的人(70名男性,年龄在18-35岁之间)使用PIUQ-9问卷,以及焦虑、抑郁和强迫症状的测量进行了评估。记录静息状态脑电图(EEG),评估脑电图微态(MS)。在整个样本中以及通过高和低PIU组之间的比较,检查了心理和神经生理特征。微态分析提取出7个MS类。在全样本和高组与低组比较中,与内感受、显著性和情绪处理相关的MS E的发生率增加与时间覆盖以及PIU分数之间存在显著关联。此外,MS B、MS C和MS D参数与焦虑和强迫症状呈显著负相关。这些发现表明,改变的MS - E动态可能代表了PIU的潜在早期功能生物标志物,反映了与问题网络行为相关的神经变化,而不是反映一般精神病理,特别是焦虑症状的心理特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain Topography
Brain Topography 医学-临床神经学
CiteScore
4.70
自引率
7.40%
发文量
41
审稿时长
3 months
期刊介绍: Brain Topography publishes clinical and basic research on cognitive neuroscience and functional neurophysiology using the full range of imaging techniques including EEG, MEG, fMRI, TMS, diffusion imaging, spectroscopy, intracranial recordings, lesion studies, and related methods. Submissions combining multiple techniques are particularly encouraged, as well as reports of new and innovative methodologies.
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