ArticleTranslational psychiatry2015
Neurophysiological features of Internet gaming disorder and alcohol use disorder: a resting-state EEG study.
Article in Translational psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed, 136 citations in OpenAlex.
- Five-week of solution-focused group counseling successfully reduces internet addiction among college students: A pilot study.Journal of behavioral addictions · 2023Trial
- Problematic patterns of social media use increase with spontaneous cortical activity and transdiagnostic mental health symptoms in youth.Developmental cognitive neuroscience · 2026Article
- Quantitative Electroencephalography Analysis in Panic Disorder: Exploring the Neurophysiological Significance of High Beta Activity.Psychiatry investigation · 2026Article
- Neural Efficiency and Attentional Instability in Gaming Disorder: A Task-Based Occipital EEG and Machine Learning Study.Bioengineering (Basel, Switzerland) · 2026Article
- Resting-state EEG power and machine-learning classification in adult males with gambling disorder.Frontiers in human neuroscience · 2025Article
- Prefrontal electrophysiological biomarkers and mechanism-based drug effects in a rat model of alcohol addiction.Translational psychiatry · 2024Article
- Biomarkers of Internet Gaming Disorder-A Narrative Review.Journal of clinical medicine · 2024Review
- Effect of excessive internet gaming on inhibitory control based on resting EEG and ERP.iScience · 2024Article
- Resting-state EEG microstate analysis of internet gaming disorder and alcohol use disorder.Dialogues in clinical neuroscience · 2024Article
- Measurement of craving among gamers with internet gaming disorder using repeated presentations of game videos: a resting-state electroencephalography study.BMC public health · 2023Article
- Paranormal believers show reduced resting EEG beta band oscillations and inhibitory control than skeptics.Scientific reports · 2023Article
- EEG Parameter Selection Reflecting the Characteristics of Internet Gaming Disorder While Playing League of Legends.Sensors (Basel, Switzerland) · 2023Article
- The Usefulness of Quantitative Electroencephalography in Diagnosis and Severity Evaluation of Delirium: A Retrospective Study.Psychiatry investigation · 2023Article
- Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology.Frontiers in psychiatry · 2022Article
- Multiple-Kernel Support Vector Machine for Predicting Internet Gaming Disorder Using Multimodal Fusion of PET, EEG, and Clinical Features.Frontiers in neuroscience · 2022Article
- Neurophysiological correlate of incubation of craving in individuals with methamphetamine use disorder.Molecular psychiatry · 2021Article
- Computer Gaming and Physiological Changes in the Brain: An Insight from QEEG Complexity Analysis.Applied psychophysiology and biofeedback · 2021Article
- Neurophysiological Markers of Internet Gaming Disorder: A Literature Review of Electroencephalography Studies.Cureus · 2021Review
- Neuromodulatory Effect of Transcranial Direct Current Stimulation on Resting-State EEG Activity in Internet Gaming Disorder: A Randomized, Double-Blind, Sham-Controlled Parallel Group Trial.Cerebral cortex communications · 2021Article
- Altered core networks of brain connectivity and personality traits in internet gaming disorder.Journal of behavioral addictions · 2020Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite that Internet gaming disorder (IGD) shares clinical, neuropsychological and personality characteristics with alcohol use disorder (AUD), little is known about the resting-state quantitative electroencephalography (QEEG) patterns associated with IGD and AUD. Therefore, this study compared the QEEG patterns in patients with IGD with those in patients with AUD to identify unique neurophysiological characteristics that can be used as biomarkers of IGD. A total of 76 subjects (34 with IGD, 17 with AUD and 25 healthy controls) participated in this study. Resting-state, eyes-closed QEEGs were recorded, and the absolute and relative power of brains were analyzed. The generalized estimating equation showed that the IGD group had lower absolute beta power than AUD (estimate = 5.319, P < 0.01) and the healthy control group (estimate = 2.612, P = 0.01). The AUD group showed higher absolute delta power than IGD (estimate = 7.516, P < 0.01) and the healthy control group (estimate = 7.179, P < 0.01). We found no significant correlations between the severity of IGD and QEEG activities in patients with IGD. The current findings suggest that lower absolute beta power can be used as a potential trait marker of IGD. Higher absolute power in the delta band may be a susceptibility marker for AUD. This study clarifies the unique characteristics of IGD as a behavioral addiction, which is distinct from AUD, by providing neurophysiological evidence.
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