Gaming disorder and internet addiction: A systematic review of resting-state EEG studies

Article

Burleigh, Tyrone L., Griffiths, Mark D., Sumich, Alex, Wang, Grace Y. and Kuss, Daria J.. 2020. "Gaming disorder and internet addiction: A systematic review of resting-state EEG studies." Addictive Behaviors. 107, pp. 1-9. https://doi.org/10.1016/j.addbeh.2020.106429
Article Title

Gaming disorder and internet addiction: A systematic review of resting-state EEG studies

ERA Journal ID6060
Article CategoryArticle
AuthorsBurleigh, Tyrone L. (Author), Griffiths, Mark D. (Author), Sumich, Alex (Author), Wang, Grace Y. (Author) and Kuss, Daria J. (Author)
Journal TitleAddictive Behaviors
Journal Citation107, pp. 1-9
Article Number106429
Number of Pages9
Year2020
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN0306-4603
1873-6327
Digital Object Identifier (DOI)https://doi.org/10.1016/j.addbeh.2020.106429
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0306460320300769
Abstract

Neurophysiological studies of Gaming Disorder (GD) and internet addiction (IA) are providing important insight into neurocognitive mechanisms underpinning these disorders, which will enable more accurate diagnostic classification. Electroencephalography (EEG) has been widely used to investigate addictive behaviours, and offers advantages of accessibility, low cost, and excellent temporal resolution. The present systematic review evaluates resting-state EEG studies in GD and IA. Papers (n = 7293) were identified in the PsychARTICLES, PsychINFO, Scopus, and Pubmed databases. Following inclusion/exclusion criteria, ten studies remained for evaluation. Results suggest individuals with GD have raised delta and theta activity and reduced beta activity, with coherence analysis suggesting altered brain activity in the mid-to-high frequency range. IA individuals demonstrate raised gamma activity and reduced beta and delta activity. Results suggest that the altered brain activity found in GD/IA may represent distinct underlying neurophysiological markers or traits, lending further support to their unique constructs. Results are also discussed in relation to relevant psychometric measurements and similar (higher frequency) activity found in substance addiction. Future research should focus on replicating the findings in a wider variety of cultural contexts to support the neurophysiological basis of classifying GD and IA.

KeywordsEEG; Gaming addiction; Gaming disorder; Internet addiction; Neuroimaging; Resting-state; Videogames
ANZSRC Field of Research 2020520206. Psychophysiology
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Byline AffiliationsNottingham Trent University, United Kingdom
Auckland University of Technology, New Zealand
Institution of OriginUniversity of Southern Queensland
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