Compulsivity-related behavioral features of problematic usage of the internet: A scoping review of paradigms, progress, and perspectives

Author:

Liu Lu1ORCID,Yao Yuan-Wei23ORCID,Fang Xiao-Yi4ORCID,Xu Lin-Xuan5,Hu Meng-Jian1,Zhang Jin-Tao5ORCID,Potenza Marc N.678ORCID

Affiliation:

1. Department of Psychology, Sun Yat-sen University, Guangzhou, China

2. Department of Psychology, The University of Hong Kong, Hong Kong SAR, China

3. State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China

4. Institute of Developmental Psychology, Beijing Normal University, Beijing, China

5. State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China

6. Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA

7. Child Study Center, Yale University School of Medicine, New Haven, CT, USA

8. Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA

Abstract

AbstractBackground and aimsCompulsivity contributes to the development and maintenance of multiple addictive disorders. However, the relationship between compulsivity-related cognitive features and problematic usage of the internet (PUI), an umbrella term for various internet use disorders/interfering behaviors, remains largely unclear, partly due to the multidimensional nature of compulsivity. This scoping review utilized a four-domain framework of compulsivity to consider this topic and aimed to summarize available evidence on compulsivity-related neuropsychological characteristics in PUI based on this framework.MethodsA systematic literature search was conducted by applying the combination of search term to the search engines of PubMed, PsycINFO and Web of Science. A four-domain framework of compulsivity, involving cognitive flexibility, set-shifting, attentional bias, and habit learning, was used to consider its complex structure and frequently used tasks. Main findings in related PUI studies were summarized based on this framework. Our secondary aim was to compare compulsivity-related features between different PUI subtypes.ResultsThirty-four empirical studies were retained, comprising 41 task-results and 35 independent data sets. Overall, individuals with PUI showed more consistent deficits in attentional biases and were relatively intact in set-shifting. Few studies have examined cognitive flexibility and habit learning, and more evidence is thus needed to establish reliable conclusions. Moreover, most studies focused on internet gaming disorder, whereas other PUI sub-types were not sufficiently examined.ConclusionThis systematic review highlights the use of the four-domain framework for advancing understanding of mechanisms underlying compulsivity in PUI. Related therapeutic implications and future directions are discussed.

Publisher

Akademiai Kiado Zrt.

Reference95 articles.

1. Stimuli-specific inhibitory control in disorders due to addictive behaviours: A review of current evidence and discussion of methodological challenges;Antons, S.,2023

2. Associations between executive functions and problematic social networking sites use;Aydin, O.,2020

3. Goal-directed instrumental action: Contingency and incentive learning and their cortical substrates;Balleine, B. W.,1998

4. Compulsivity across the pathological misuse of drug and non-drug rewards;Banca, P.,2016

5. The Interaction of Person-Affect-Cognition-Execution (I-PACE) model for addictive behaviors: Update, generalization to addictive behaviors beyond internet-use disorders, and specification of the process character of addictive behaviors;Brand, M.,2019

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