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Article: Altered functional network activities for behavioral adjustments and Bayesian learning in young men with Internet gaming disorder

TitleAltered functional network activities for behavioral adjustments and Bayesian learning in young men with Internet gaming disorder
Authors
KeywordsBayesian learning
Functional brain networks
Independent component analysis
Internet gaming disorder
Post-error adjustment
Stop-signal task
Issue Date2021
Citation
Journal of Behavioral Addictions, 2021, v. 10, n. 1, p. 112-122 How to Cite?
AbstractBackground and aims: Deficits in cognitive control represent a core feature of addiction. Internet Gaming Disorder (IGD) offers an ideal model to study the mechanisms underlying cognitive control deficits in addiction, eliminating the confounding effects of substance use. Studies have reported behavioral and neural deficits in reactive control in IGD, but it remains unclear whether individuals with IGD are compromised in proactive control or behavioral adjustment by learning from the changing contexts. Methods: Here, fMRI data of 21 male young adults with IGD and 21 matched healthy controls (HC) were collected during a stop-signal task. We employed group independent component analysis to investigate group differences in temporally coherent, large-scale functional network activities during post-error slowing, the typical type of behavioral adjustments. We also employed a Bayesian belief model to quantify the trial-by-trial learning of the likelihood of stop signal – P(Stop) – a broader process underlying behavioral adjustment, and identified the alterations in functional network responses to P(Stop). Results: The results showed diminished engagement of the fronto-parietal network during post-error slowing, and weaker activity in the ventral attention and anterior default mode network in response to P(Stop) in IGD relative to HC. Discussion and conclusions: These results add to the literatures by suggesting deficits in updating and anticipating conflicts as well as in behavioral adjustment according to contextual information in individuals with IGD.
Persistent Identifierhttp://hdl.handle.net/10722/335466
ISSN
2023 Impact Factor: 6.6
2023 SCImago Journal Rankings: 2.188
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMa, Shan Shan-
dc.contributor.authorLi, Chiang Shan R.-
dc.contributor.authorZhang, Sheng-
dc.contributor.authorWorhunsky, Patrick D.-
dc.contributor.authorZhou, Nan-
dc.contributor.authorZhang, Jin Tao-
dc.contributor.authorLiu, Lu-
dc.contributor.authorYao, Yuan Wei-
dc.contributor.authorFang, Xiao Yi-
dc.date.accessioned2023-11-17T08:26:10Z-
dc.date.available2023-11-17T08:26:10Z-
dc.date.issued2021-
dc.identifier.citationJournal of Behavioral Addictions, 2021, v. 10, n. 1, p. 112-122-
dc.identifier.issn2062-5871-
dc.identifier.urihttp://hdl.handle.net/10722/335466-
dc.description.abstractBackground and aims: Deficits in cognitive control represent a core feature of addiction. Internet Gaming Disorder (IGD) offers an ideal model to study the mechanisms underlying cognitive control deficits in addiction, eliminating the confounding effects of substance use. Studies have reported behavioral and neural deficits in reactive control in IGD, but it remains unclear whether individuals with IGD are compromised in proactive control or behavioral adjustment by learning from the changing contexts. Methods: Here, fMRI data of 21 male young adults with IGD and 21 matched healthy controls (HC) were collected during a stop-signal task. We employed group independent component analysis to investigate group differences in temporally coherent, large-scale functional network activities during post-error slowing, the typical type of behavioral adjustments. We also employed a Bayesian belief model to quantify the trial-by-trial learning of the likelihood of stop signal – P(Stop) – a broader process underlying behavioral adjustment, and identified the alterations in functional network responses to P(Stop). Results: The results showed diminished engagement of the fronto-parietal network during post-error slowing, and weaker activity in the ventral attention and anterior default mode network in response to P(Stop) in IGD relative to HC. Discussion and conclusions: These results add to the literatures by suggesting deficits in updating and anticipating conflicts as well as in behavioral adjustment according to contextual information in individuals with IGD.-
dc.languageeng-
dc.relation.ispartofJournal of Behavioral Addictions-
dc.subjectBayesian learning-
dc.subjectFunctional brain networks-
dc.subjectIndependent component analysis-
dc.subjectInternet gaming disorder-
dc.subjectPost-error adjustment-
dc.subjectStop-signal task-
dc.titleAltered functional network activities for behavioral adjustments and Bayesian learning in young men with Internet gaming disorder-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1556/2006.2021.00010-
dc.identifier.pmid33704083-
dc.identifier.scopuseid_2-s2.0-85106063010-
dc.identifier.volume10-
dc.identifier.issue1-
dc.identifier.spage112-
dc.identifier.epage122-
dc.identifier.eissn2063-5303-
dc.identifier.isiWOS:000662263200010-

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