Literature DB >> 31247240

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.

Matthias Brand1, Elisa Wegmann2, Rudolf Stark3, Astrid Müller4, Klaus Wölfling5, Trevor W Robbins6, Marc N Potenza7.   

Abstract

We propose an updated version of the Interaction of Person-Affect-Cognition-Execution (I-PACE) model, which we argue to be valid for several types of addictive behaviors, such as gambling, gaming, buying-shopping, and compulsive sexual behavior disorders. Based on recent empirical findings and theoretical considerations, we argue that addictive behaviors develop as a consequence of the interactions between predisposing variables, affective and cognitive responses to specific stimuli, and executive functions, such as inhibitory control and decision-making. In the process of addictive behaviors, the associations between cue-reactivity/craving and diminished inhibitory control contribute to the development of habitual behaviors. An imbalance between structures of fronto-striatal circuits, particularly between ventral striatum, amygdala, and dorsolateral prefrontal areas, may be particularly relevant to early stages and the dorsal striatum to later stages of addictive processes. The I-PACE model may provide a theoretical foundation for future studies on addictive behaviors and clinical practice. Future studies should investigate common and unique mechanisms involved in addictive, obsessive-compulsive-related, impulse-control, and substance-use disorders.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Behavioral addictions; Buying-shopping disorder; Cue-reactivity; Gambling disorder; Gaming disorder; Inhibitory control; Problematic pornography use

Mesh:

Year:  2019        PMID: 31247240     DOI: 10.1016/j.neubiorev.2019.06.032

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  153 in total

1.  GABAergic polygenic risk for cocaine use disorder is negatively correlated with precuneus activity during cognitive control in African American individuals.

Authors:  Bao-Zhu Yang; Iris M Balodis; Hedy Kober; Patrick D Worhunsky; Cheryl M Lacadie; Joel Gelernter; Marc N Potenza
Journal:  Addict Behav       Date:  2020-10-10       Impact factor: 3.913

2.  Decision-Making in Gambling Disorder, Problematic Pornography Use, and Binge-Eating Disorder: Similarities and Differences.

Authors:  Gemma Mestre-Bach; Fernando Fernández-Aranda; Susana Jiménez-Murcia; Marc N Potenza
Journal:  Curr Behav Neurosci Rep       Date:  2020-06-27

3.  Perceived Strain Due to COVID-19-Related Restrictions Mediates the Effect of Social Needs and Fear of Missing Out on the Risk of a Problematic Use of Social Networks.

Authors:  Elisa Wegmann; Annika Brandtner; Matthias Brand
Journal:  Front Psychiatry       Date:  2021-04-23       Impact factor: 4.157

4.  The influence of Facebook intrusion and task context on cognitive control.

Authors:  Andrzej Cudo; Natalia Kopiś-Posiej; Kateryna Shchehelska
Journal:  Psychol Res       Date:  2022-03-11

5.  Measurement of the problematic usage of the Internet unidimensional quasitrait continuum with item response theory.

Authors:  Jeggan Tiego; Christine Lochner; Konstantinos Ioannidis; Matthias Brand; Dan J Stein; Murat Yücel; Jon E Grant; Samuel R Chamberlain
Journal:  Psychol Assess       Date:  2021-04-08

Review 6.  Excessive Smartphone Use Is Associated With Health Problems in Adolescents and Young Adults.

Authors:  Yehuda Wacks; Aviv M Weinstein
Journal:  Front Psychiatry       Date:  2021-05-28       Impact factor: 4.157

7.  Stress and Problematic Smartphone Use Severity: Smartphone Use Frequency and Fear of Missing Out as Mediators.

Authors:  Haibo Yang; Bingjie Liu; Jianwen Fang
Journal:  Front Psychiatry       Date:  2021-06-01       Impact factor: 4.157

8.  Dorsal and ventral striatal functional connectivity shifts play a potential role in internet gaming disorder.

Authors:  Guang-Heng Dong; Haohao Dong; Min Wang; Jialin Zhang; Weiran Zhou; Xiaoxia Du; Marc N Potenza
Journal:  Commun Biol       Date:  2021-07-14

9.  Identifying Internet Addiction and Evaluating the Efficacy of Treatment Based on Functional Connectivity Density: A Machine Learning Study.

Authors:  Yang Wang; Yun Qin; Hui Li; Dezhong Yao; Bo Sun; Jinnan Gong; Yu Dai; Chao Wen; Lingrui Zhang; Chenchen Zhang; Cheng Luo; Tianmin Zhu
Journal:  Front Neurosci       Date:  2021-06-17       Impact factor: 4.677

10.  Loneliness and Mobile Phone Addiction Among Chinese College Students: The Mediating Roles of Boredom Proneness and Self-Control.

Authors:  Xinwei Li; Xuechao Feng; Hui Zhou; Weilong Xiao
Journal:  Psychol Res Behav Manag       Date:  2021-06-11
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