Convergent cross-sectional and longitudinal evidence for gaming-cue specific posterior parietal dysregulations in early stages of internet gaming disorder.
addiction
cue reactivity
emotion
fMRI
internet gaming disorder
longitudinal design
Journal
Addiction biology
ISSN: 1369-1600
Titre abrégé: Addict Biol
Pays: United States
ID NLM: 9604935
Informations de publication
Date de publication:
05 2021
05 2021
Historique:
revised:
14
05
2020
received:
13
01
2020
accepted:
12
06
2020
pubmed:
1
7
2020
medline:
3
11
2021
entrez:
1
7
2020
Statut:
ppublish
Résumé
Exaggerated reactivity to drug-cues and emotional dysregulations represent key symptoms of early stages of substance use disorders. The diagnostic criteria for (Internet) gaming disorder strongly resemble symptoms for substance-related addictions. However, previous cross-sections studies revealed inconsistent results with respect to neural cue reactivity and emotional dysregulations in these populations. To this end, the present fMRI study applied a combined cross-sectional and longitudinal design in regular online gamers (n = 37) and gaming-naïve controls (n = 67). To separate gaming-associated changes from predisposing factors, gaming-naive subjects were randomly assigned to 6 weeks of daily Internet gaming or a non-gaming condition. At baseline and after the training, subjects underwent an fMRI paradigm presenting gaming-related cues and non-gaming-related emotional stimuli. Cross-sectional comparisons revealed gaming-cue specific enhanced valence attribution and neural reactivity in a parietal network, including the posterior cingulate in regular gamers as compared to gaming naïve-controls. Longitudinal analysis revealed that 6 weeks of gaming elevated valence ratings as well as neural cue-reactivity in a similar parietal network, specifically the posterior cingulate in previously gaming-naïve controls. Together, the longitudinal design did not reveal supporting evidence for altered emotional processing of non-gaming associated stimuli in regular gamers whereas convergent evidence for increased emotional and neural reactivity to gaming-associated stimuli was observed. Findings suggest that exaggerated neural reactivity in posterior parietal regions engaged in default mode and automated information processing already occur during early stages of regular gaming and probably promote continued engagement in gaming behavior.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e12933Informations de copyright
© 2020 Society for the Study of Addiction.
Références
Petry NM, O'Brien CP. Internet gaming disorder and the DSM-5. Addiction. 2013;108(7):1186-1187.
Zilverstand A, Parvaz MA, Goldstein RZ. Neuroimaging cognitive reappraisal in clinical populations to define neural targets for enhancing emotion regulation. A systematic review. Neuroimage. 2017;151:105-116.
Pontes HM, Schivinski B, Sindermann C, et al. Measurement and conceptualization of gaming disorder according to the World Health Organization framework: the development of the gaming disorder test. Int J Ment Health Addict. 2019;1-21.
Mihara S, Higuchi S. Cross-sectional and longitudinal epidemiological studies of internet gaming disorder: a systematic review of the literature. Psychiatry Clin Neurosci. 2017;71(7):425-444.
Rehbein F, Kliem S, Baier D, Mößle T, Petry NM. Prevalence of internet gaming disorder in German adolescents: diagnostic contribution of the nine DSM-5 criteria in a state-wide representative sample. Addiction. 2015;110(5):842-851.
Montag C, Schivinski B, Sariyska R, Kannen C, Demetrovics Z, Pontes HM. Psychopathological symptoms and gaming motives in disordered gaming-a psychometric comparison between the WHO and APA diagnostic frameworks. J Clin Med. 2019;8(10):1691.
Krossbakken E, Pallesen S, Mentzoni RA, et al. A cross-lagged study of developmental trajectories of video game engagement, addiction, and mental health. Front Psychol. 2018;9:2239.
Meng Y, Deng W, Wang H, Guo W, Li T. The prefrontal dysfunction in individuals with internet gaming disorder: a meta-analysis of functional magnetic resonance imaging studies. Addict Biol. 2015;20(4):799-808.
Yao YW, Liu L, Ma SS, et al. Functional and structural neural alterations in internet gaming disorder: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2017;83:313-324.
Starcke K, Antons S, Trotzke P, Brand M. Cue-reactivity in behavioral addictions: a meta-analysis and methodological considerations. J Behav Addict. 2018;7(2):227-238.
Zheng H, Hu Y, Wang Z, Wang M, Du X, Dong G. Meta-analyses of the functional neural alterations in subjects with internet gaming disorder: similarities and differences across different paradigms. Prog Neuropsychopharmacol Biol Psychiatry. 2019;94:109656.
Chase HW, Eickhoff SB, Laird AR, Hogarth L. The neural basis of drug stimulus processing and craving: an activation likelihood estimation meta-analysis. Biol Psychiatry. 2011;70(8):785-793.
Kühn S, Gallinat J. Common biology of craving across legal and illegal drugs-a quantitative meta-analysis of cue-reactivity brain response. Eur J Neurosci. 2011;33(7):1318-1326.
Di Chiara G, Imperato A. Drugs abused by humans preferentially increase synaptic dopamine concentrations in the mesolimbic system of freely moving rats. Proc Natl Acad Sci U S a. 1988;85(14):5274-5278.
Everitt BJ, Robbins TW. Drug addiction: updating actions to habits to compulsions ten years on. Annu Rev Psychol. 2016;67(1):23-50.
Zhou X, Zimmermann K, Xin F, et al. Cue reactivity in the ventral striatum characterizes heavy Cannabis use, whereas reactivity in the dorsal striatum mediates dependent use. Biol Psychiatry Cogn Neurosci Neuroimaging. 2019;4(8):751-762.
Brumback T, Squeglia LM, Jacobus J, Pulido C, Tapert SF, Brown SA. Adolescent heavy drinkers' amplified brain responses to alcohol cues decrease over one month of abstinence. Addict Behav. 2015;46:45-52.
Vollstadt-Klein S, Wichert S, Rabinstein J, et al. Initial, habitual and compulsive alcohol use is characterized by a shift of cue processing from ventral to dorsal striatum. Addiction. 2010;105(10):1741-1749.
Brand M, Young KS, Laier C, Wolfling K, Potenza MN. Integrating psychological and neurobiological considerations regarding the development and maintenance of specific internet-use disorders: an interaction of person-affect-cognition-execution (I-PACE) model. Neurosci Biobehav Rev. 2016;71:252-266.
Brand M, Wegmann E, Stark R, et al. 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. Neurosci Biobehav Rev. 2019;104:1-10.
Zimmermann K, Walz C, Derckx RT, et al. Emotion regulation deficits in regular marijuana users. Hum Brain Mapp. 2017;38(8):4270-4279.
Zimmermann K, Yao S, Heinz M, et al. Altered orbitofrontal activity and dorsal striatal connectivity during emotion processing in dependent marijuana users after 28 days of abstinence. Psychopharmacology (Berl). 2018;235(3):849-859.
Charlet K, Schlagenhauf F, Richter A, et al. Neural activation during processing of aversive faces predicts treatment outcome in alcoholism. Addict Biol. 2014;19(3):439-451.
Markou A, Weiss F, Gold LH, Caine SB, Schulteis G, Koob GF. Animal models of drug craving. Psychopharmacology (Berl). 1993;112(2-3):163-182.
MacNiven KH, Jensen EL, Borg N, Padula CB, Humphreys K, Knutson B. Association of neural responses to drug cues with subsequent relapse to stimulant use. JAMA Netw Open. 2018;1(8):e186466.
Guillem K, Ahmed SH. Incubation of accumbal neuronal reactivity to cocaine cues during abstinence predicts individual vulnerability to relapse. Neuropsychopharmacology. 2018;43(5):1059-1065.
Wang LX, Wu LD, Wang YF, et al. Altered brain activities associated with craving and cue reactivity in people with internet gaming disorder: evidence from the comparison with recreational internet game users. Front Psychol. 2017;8:1-12.
Zhang JT, Yao YW, Potenza MN, et al. Effects of craving behavioral intervention on neural substrates of cue-induced craving in internet gaming disorder. Neoroimage Clin. 2016;12:591-599.
Liu L, Yip SW, Zhang JT, et al. Activation of the ventral and dorsal striatum during cue reactivity in internet gaming disorder. Addict Biol. 2017;22(3):791-801.
Zhou F, Montag C, Sariyska R, et al. Orbitofrontal gray matter deficits as marker of internet gaming disorder: converging evidence from a cross-sectional and prospective longitudinal design. Addict Biol. 2019;24(1):100-109.
Nagygyorgy K, Urban R, Farkas J, et al. Typology and Sociodemographic characteristics of massively multiplayer online game players. Int J Hum Comput Interact. 2013;29(3):192-200.
Smyth JM. Beyond self-selection in video game play: an experimental examination of the consequences of massively multiplayer online role-playing game play. Cyberpsychol Behav. 2007;10(5):717-721.
Montag C, Weber B, Trautner P, et al. Does excessive play of violent first-person-shooter-video-games dampen brain activity in response to emotional stimuli? Biol Psychol. 2012;89(1):107-111.
Peters CS, Malesky LA. Problematic usage among highly-engaged players of massively multiplayer online role playing games. Cyberpsychol Behav. 2008;11(4):481-484.
Lemmens JS, Valkenburg PM, Peter J. Development and validation of a game addiction scale for adolescents. Media Psychol. 2009;12(1):77-95.
Yan C, Zang Y. DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI. Front Syst Neurosci. 2010;4:13.
Ashburner J. A fast diffeomorphic image registration algorithm. Neuroimage. 2007;38(1):95-113.
Sun Y, Ying H, Seetohul RM, et al. Brain fMRI study of crave induced by cue pictures in online game addicts (male adolescents). Behav Brain Res. 2012;233(2):563-576.
Yeo BT, Krienen FM, Sepulcre J, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(3):1125-1165.
Bonnaire C, Baptista D. Internet gaming disorder in male and female young adults: the role of alexithymia, depression, anxiety and gaming type. Psychiatry Res. 2019;272:521-530.
Yip SW, Gross JJ, Chawla M, et al. Is neural processing of negative stimuli altered in addiction independent of drug effects? Findings from Drug-naïve Youth with Internet Gaming Disorder Neuropsychopharmacology. 2018;43:1364-1372.
Clark L, Boileau I, Zack M. Neuroimaging of reward mechanisms in gambling disorder: an integrative review. Mol Psychiatry. 2019;24(5):674-693.
Zilverstand A, Huang AS, Alia-Klein N, Goldstein RZ. Neuroimaging impaired response inhibition and salience attribution in human drug addiction: a systematic review. Neuron. 2018;98(5):886-903.
Hélie S, Waldschmidt JG, Ashby FG. Automaticity in rule-based and information-integration categorization. Atten Percept Psychophys. 2010;72(4):1013-1031.
Vatansever D, Menon DK, Stamatakis EA. Default mode contributions to automated information processing. Proc Natl Acad Sci U S a. 2017;114(48):12821-12826.