Transfer from goal-directed behavior to stimulus-response habits and its modulation by acute stress in individuals with risky gaming behavior.
Conditioning
Cues
Gaming disorder
Habitual behavior
Pavlovian-to-instrumental transfer
Stress
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
29 10 2024
29 10 2024
Historique:
received:
22
05
2024
accepted:
23
09
2024
medline:
30
10
2024
pubmed:
30
10
2024
entrez:
30
10
2024
Statut:
epublish
Résumé
Habitual responses towards addiction-related cues play a relevant role in the development and maintenance of addictions. Such automatic responses may be more likely under stress, as stress has been shown to induce a shift from goal-directed to habitual behavior. The current study investigated these mechanisms in risky gaming behavior. Individuals with risky gaming behavior (n = 68), as established by a structured clinical interview, and a matched control group (n = 67) completed a Pavlovian-to-Instrumental Transfer (PIT) paradigm with gaming-related cues and rewards. After the Pavlovian training, participants underwent a stress (Trier Social Stress Test) or control condition before performing the instrumental training and the transfer phase of the PIT paradigm. To assess habitual behavior, the gaming-related rewards were devalued after half of the transfer phase. In both groups, gaming-related cues enhanced the choice of the gaming-related reward and this gaming PIT effect was reduced, however, not eliminated by the devaluation. Unexpectedly, stress did not significantly increase responding for the gaming-related reward in participants aware of the stimulus-outcome associations, however seemed to enhance habitual responding in unaware participants. Our findings underline the relevance of gaming-related cues in triggering habitual responses, which may undermine attempts to change a problematic gaming behavior.
Identifiants
pubmed: 39472683
doi: 10.1038/s41598-024-73899-3
pii: 10.1038/s41598-024-73899-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
26015Informations de copyright
© 2024. The Author(s).
Références
Everitt, B. J. & Robbins, T. W. Drug addiction: Updating actions to habits to compulsions ten years on. Annu. Rev. Psychol. 67, 23–50 (2016).
pubmed: 26253543
doi: 10.1146/annurev-psych-122414-033457
Smith, R. J. & Laiks, L. S. Behavioral and neural mechanisms underlying habitual and compulsive drug seeking. Prog Neuropsychopharmacol. Biol. Psychiatry. 87, 11–21 (2018).
pubmed: 28887182
doi: 10.1016/j.pnpbp.2017.09.003
Hommel, B. & Wiers, R. W. Towards a unitary approach to human action control. Trends Cogn. Sci. 21, 940–949 (2017).
pubmed: 29150000
doi: 10.1016/j.tics.2017.09.009
Hogarth, L. Addiction is driven by excessive goal-directed drug choice under negative affect: Translational critique of habit and compulsion theory. Neuropsychopharmacology. 45, 720–735 (2020).
pubmed: 31905368
pmcid: 7265389
doi: 10.1038/s41386-020-0600-8
Brand, M. 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. 104, 1–10 (2019).
pubmed: 31247240
doi: 10.1016/j.neubiorev.2019.06.032
Brand, M. Can internet use become addictive? Science. 376, 798–799 (2022).
pubmed: 35587961
doi: 10.1126/science.abn4189
World Health Organization. International statistical classification of diseases and related health problems. (2019). https://icd.who.int/
Everitt, B. J. & Robbins, T. W. Neural systems of reinforcement for drug addiction: From actions to habits to compulsion. Nat. Neurosci. 8, 1481–1489 (2005).
pubmed: 16251991
doi: 10.1038/nn1579
Doñamayor, N. et al. Instrumental and Pavlovian mechanisms in alcohol use disorder. Curr. Addict. Rep. 8, 156–180 (2021).
doi: 10.1007/s40429-020-00333-9
Cartoni, E., Balleine, B. & Baldassarre, G. Appetitive Pavlovian-instrumental transfer: A review. Neurosci. Biobehav Rev. 71, 829–848 (2016).
pubmed: 27693227
doi: 10.1016/j.neubiorev.2016.09.020
Mahlberg, J. et al. Human appetitive Pavlovian-to-instrumental transfer: A goal-directed account. Psychol. Res. 85, 449–463 (2021).
pubmed: 31720789
doi: 10.1007/s00426-019-01266-3
Nadler, N., Delgado, M. R. & Delamater, A. R. Pavlovian to instrumental transfer of control in a human learning task. Emotion. 11, 1112–1123 (2011).
pubmed: 21534664
pmcid: 3183152
doi: 10.1037/a0022760
Hardy, L., Mitchell, C., Seabrooke, T. & Hogarth, L. Drug cue reactivity involves hierarchical instrumental learning: Evidence from a biconditional Pavlovian to instrumental transfer task. Psychopharmacol. (Berl). 234, 1977–1984 (2017).
doi: 10.1007/s00213-017-4605-x
Hogarth, L. & Chase, H. W. Evaluating psychological markers for human nicotine dependence: Tobacco choice, extinction, and Pavlovian-to-instrumental transfer. Exp. Clin. Psychopharmacol. 20, 213–224 (2012).
pubmed: 22369668
doi: 10.1037/a0027203
Rose, A. K., Brown, K., MacKillop, J., Field, M. & Hogarth, L. Alcohol devaluation has dissociable effects on distinct components of alcohol behaviour. Psychopharmacol. (Berl). 235, 1233–1244 (2018).
doi: 10.1007/s00213-018-4839-2
Steins-Loeber, S. et al. Does acute stress influence the Pavlovian-to-instrumental transfer effect? Implications for substance use disorders. Psychopharmacol. (Berl). 237, 2305–2316 (2020).
doi: 10.1007/s00213-020-05534-8
Hogarth, L., Dickinson, A., Wright, A., Kouvaraki, M. & Duka, T. The role of drug expectancy in the control of human drug seeking. J. Exp. Psychol. Anim. Behav. Process. 33, 484–496 (2007).
pubmed: 17924795
doi: 10.1037/0097-7403.33.4.484
Martinovic, J. et al. Electrophysiological responses to alcohol cues are not associated with Pavlovian-to-instrumental transfer in social drinkers. PLoS ONE. 9, e94605; https://doi.org/10.1371/journal.pone.0094605 (2014).
Manglani, H. R., Lewis, A. H., Wilson, S. J. & Delgado, M. R. Pavlovian-to-instrumental transfer of nicotine and food cues in deprived cigarette smokers. Nicotine Tob. Res. 19, 670–676 (2017).
pubmed: 28486716
pmcid: 5896487
doi: 10.1093/ntr/ntx007
Vogel, V. et al. Pavlovian-to-instrumental transfer: A new paradigm to assess pathological mechanisms with regard to the use of internet applications. Behav. Brain Res. 347, 8–16 (2018).
pubmed: 29522786
doi: 10.1016/j.bbr.2018.03.009
Lörsch, F. et al. The effect of individual differences on Pavlovian conditioning in specific Internet-use disorders. Behav. Brain Res. 476, 115254; https://doi.org/10.1016/j.bbr.2024.115254 (2025).
Qin, C. et al. Enhanced Pavlovian-to-instrumental transfer in internet gaming disorder. J. Behav. Addict. 12, 471–479 (2023).
pubmed: 37267086
pmcid: 10316159
doi: 10.1556/2006.2023.00023
Xu, L. et al. Pavlovian-to-instrumental transfer and outcome-devaluation effects in individuals with gaming experience. Comput. Hum. Behav. 155, 108188, https://doi.org/10.1016/j.chb.2024.108188 (2024).
Hogarth, L. A critical review of habit theory of drug dependence. in The Psychology of Habit: Theory, Mechanisms, Change, and Contexts (ed Verplanken, B.) 325–341 (Springer International Publishing, 2018). https://doi.org/10.1007/978-3-319-97529-0_18 .
Schwabe, L. & Wolf, O. T. Stress-induced modulation of instrumental behavior: From goal-directed to habitual control of action. Behav. Brain Res. 219, 321–328 (2011).
pubmed: 21219935
doi: 10.1016/j.bbr.2010.12.038
Hogarth, L. Goal-directed and transfer-cue-elicited drug-seeking are dissociated by pharmacotherapy: Evidence for independent additive controllers. J. Exp. Psychol. 38, 266–278 (2012).
Hogarth, L. & Chase, H. W. Parallel goal-directed and habitual control of human drug-seeking: Implications for dependence vulnerability. J. Exp. Psychol. 37, 261–276 (2011).
Koob, G. F. & Schulkin, J. Addiction and stress: An allostatic view. Neurosci. Biobehav Rev. 106, 245–262 (2019).
pubmed: 30227143
doi: 10.1016/j.neubiorev.2018.09.008
Ruisoto, P. & Contador, I. The role of stress in drug addiction. An integrative review. Physiol. Behav. 202, 62–68 (2019).
pubmed: 30711532
doi: 10.1016/j.physbeh.2019.01.022
Sinha, R. How does stress increase risk of drug abuse and relapse? Psychopharmacol. (Berl). 158, 343–359 (2001).
doi: 10.1007/s002130100917
Brand, M., Young, K. S., Laier, C., Wölfling, K. & Potenza, M. N. 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. 71, 252–266 (2016).
pubmed: 27590829
doi: 10.1016/j.neubiorev.2016.08.033
Schwabe, L., Dickinson, A. & Wolf, O. T. Stress, habits, and drug addiction: A psychoneuroendocrinological perspective. Exp. Clin. Psychopharmacol. 19, 53–63 (2011).
pubmed: 21341923
doi: 10.1037/a0022212
Merz, C. J. & Wolf, O. T. Sex differences in stress effects on emotional learning. J. Neurosci. Res.95, 93–105 (2017).
pubmed: 27870431
doi: 10.1002/jnr.23811
Kwako, L. E. & Koob, G. F. Neuroclinical framework for the role of stress in addiction. Chronic Stress 1, https://doi.org/10.1177/2470547017698140 (2017).
Smeets, T., van Ruitenbeek, P., Hartogsveld, B. & Quaedflieg, C. W. E. M. Stress-induced reliance on habitual behavior is moderated by cortisol reactivity. Brain Cogn. 133, 60–71 (2019).
pubmed: 29807661
doi: 10.1016/j.bandc.2018.05.005
Robinson, T. E. The neural basis of drug craving: An incentive-sensitization theory of addiction. Brain Res. Rev. 18, 247–291 (1993).
pubmed: 8401595
doi: 10.1016/0165-0173(93)90013-P
Quail, S. L., Morris, R. W. & Balleine, B. W. Stress associated changes in Pavlovian-instrumental transfer in humans. Q. J. Exp. Psychol. 70, 675–685 (2017).
doi: 10.1080/17470218.2016.1149198
Pool, E., Brosch, T., Delplanque, S. & Sander, D. Stress increases cue-triggered ‘wanting’ for sweet reward in humans. J. Exp. Psychol. Anim. Learn. Cogn. 41, 128–136 (2015).
pubmed: 25734754
doi: 10.1037/xan0000052
Schwabe, L. & Schächinger, H. Ten years of research with the socially evaluated cold pressor test: Data from the past and guidelines for the future. Psychoneuroendocrinology. 92, 155–161 (2018).
pubmed: 29573884
doi: 10.1016/j.psyneuen.2018.03.010
Pritchard, T. L., Weidemann, G. & Hogarth, L. Negative emotional appraisal selectively disrupts retrieval of expected outcome values required for goal-directed instrumental choice. Cogn. Emot. 32, 843–851 (2018).
pubmed: 28905678
doi: 10.1080/02699931.2017.1359017
Goldstein, R. Z. & Volkow, N. D. Drug addiction and its underlying neurobiological basis: Neuroimaging evidence for the involvement of the frontal cortex. Am. J. Psychiatry. 159, 1642–1652 (2002).
pubmed: 12359667
pmcid: 1201373
doi: 10.1176/appi.ajp.159.10.1642
Lee, R. S. C., Hoppenbrouwers, S. & Franken, I. A systematic meta-review of impulsivity and compulsivity in addictive behaviors. Neuropsychol. Rev. 29, 14–26 (2019).
pubmed: 30927147
doi: 10.1007/s11065-019-09402-x
Lejuez, C. W. et al. Behavioral and biological indicators of impulsivity in the development of alcohol use, problems, and disorders. Alcohol Clin. Exp. Res. 34, 1334–1345 (2010).
pubmed: 20491733
pmcid: 3182265
doi: 10.1111/j.1530-0277.2010.01217.x
Şalvarlı, Ş. İ. & Griffiths, M. D. The association between internet gaming disorder and impulsivity: A systematic review of literature. Int. J. Ment Health Addict. 20, 92–118 (2022).
doi: 10.1007/s11469-019-00126-w
Fox, H. C., Bergquist, K. L., Peihua, G. & Rajita, S. Interactive effects of cumulative stress and impulsivity on alcohol consumption. Alcohol Clin. Exp. Res. 34, 1376–1385 (2010).
pubmed: 20491738
pmcid: 3676668
doi: 10.1111/j.1530-0277.2010.01221.x
Tang, C. S. K., Chua, Z. & Wu, A. M. S. Impulsivity, life stress, refusal efficacy, and problem gambling among Chinese: Testing the diathesis-stress-coping model. Int. J. Stress Manag. 18, 263–283 (2011).
doi: 10.1037/a0023812
Brand, M. et al. Addiction Research Unit: Affective and cognitive mechanisms of specific internet-use disorders. Addict. Biol. 26, e13087; https://doi.org/10.1111/adb.13087 (2021).
pubmed: 34409697
doi: 10.1111/adb.13087
Englert, R. et al. ALIIAS: Anonymization/pseudonymization with LimeSurvey integration and II-factor authentication for scientific research. SoftwareX 24, 101522; https://doi.org/10.1016/j.softx.2023.101522 . (2023).
Labuschagne, I., Grace, C., Rendell, P., Terrett, G. & Heinrichs, M. An introductory guide to conducting the Trier Social stress test. Neurosci. Biobehav Rev. 107, 686–695 (2019).
pubmed: 31560923
doi: 10.1016/j.neubiorev.2019.09.032
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-5. Washington, DC, (2013).
Garbusow, M. et al. Pavlovian-to-instrumental transfer across mental disorders: A review. Neuropsychobiology. 81, 418–437 (2022).
pubmed: 35843212
doi: 10.1159/000525579
Hogarth, L., Dickinson, A., Hutton, S. B., Elbers, N. & Duka, T. Drug expectancy is necessary for stimulus control of human attention, instrumental drug-seeking behaviour and subjective pleasure. Psychopharmacol. (Berl). 185, 495–504 (2006).
doi: 10.1007/s00213-005-0287-x
Kirschbaum, C., Pirke, K. M. & Hellhammer, D. H. The ’Trier Social stress test’– a tool for investigating psychobiological stress responses in a laboratory setting. Neuropsychobiology. 28, 76–81 (1993).
pubmed: 8255414
doi: 10.1159/000119004
Dickerson, S. S. & Kemeny, M. E. Acute stressors and cortisol responses: A theoretical integration and synthesis of laboratory research. Psychol. Bull. 130, 355–391 (2004).
pubmed: 15122924
doi: 10.1037/0033-2909.130.3.355
Kudielka, B. M., Hellhammer, D. H. & Kirschbaum, C. Ten years of research with the Trier Social stress test (TSST) – revisited. in Social Neuroscience (eds Harmon-Jones, E. & Winkielman, P.) (Guilford Press, 2007).
Het, S., Rohleder, N., Schoofs, D., Kirschbaum, C. & Wolf, O. T. Neuroendocrine and psychometric evaluation of a placebo version of the ‘Trier Social stress test’. Psychoneuroendocrinology. 34, 1075–1086 (2009).
pubmed: 19307062
doi: 10.1016/j.psyneuen.2009.02.008
Müller, K. W. & Wölfling, K. AICA-SKI:IBS Strukturiertes klinisches Interview zu Internetbezogenen Störungen. (2017). https://www.fv-medienabhaengigkeit.de/fileadmin/images/Dateien/AICA-SKI_IBS/Klinisches_Interview_AICA-SKI_IBS.pdf
Király, O. et al. Validation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and evaluation of the nine DSM-5 Internet Gaming Disorder criteria. Addict. Behav. 64, 253–260 (2017).
pubmed: 26632194
doi: 10.1016/j.addbeh.2015.11.005
Meule, A., Vögele, C. & Kübler, A. Psychometrische Evaluation der deutschen Barratt Impulsiveness Scale – Kurzversion (BIS-15) [Psychometric evaluation of the German Barratt Impulsiveness scale – short version (BIS-15)]. Diagnostica. 57, 126–133 (2011).
doi: 10.1026/0012-1924/a000042
Spinella, M. Normative data and a short form of the Barratt Impulsiveness Scale. Int. J. Neurosci. 117, 359–368 (2007).
pubmed: 17365120
doi: 10.1080/00207450600588881
Diers, M. et al. Cue-reactivity to distal cues in individuals at risk for gaming disorder. Compr. Psychiatry. 125, 152399; https://doi.org/10.1016/j.comppsych.2023.152399 (2023).
Schulz, K. P. et al. Does the emotional go/no-go task really measure behavioral inhibition? Convergence with measures on a non-emotional analog. Arch. Clin. Neuropsychol. 22, 151–160 (2007).
pubmed: 17207962
doi: 10.1016/j.acn.2006.12.001
Wright, L., Lipszyc, J., Dupuis, A., Thayapararajah, S. W. & Schachar, R. Response inhibition and psychopathology: A meta-analysis of go/no-go task performance. J. Abnorm. Psychol. 123, 429–439 (2014).
pubmed: 24731074
doi: 10.1037/a0036295
Müller, S. M. et al. Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11 criteria for gaming disorder and other potential Internet-use disorders. J. Behav. Addict. 11, 427–450 (2022).
pubmed: 35394924
pmcid: 9295242
Verplanken, B. & Orbell, S. Reflections on past behavior: A self-report index of habit strength. J. Appl. Soc. Psychol. 33, 1313–1330 (2003).
doi: 10.1111/j.1559-1816.2003.tb01951.x
Frank, G. H. Brief Symptom Inventory von L. R. Derogatis (Kurzform der SCL-90-R [Short form of SCL-90-R]) (Beltz Test, 2000).
Horn, W. Leistungsprüfsystem (LPS) [Performance assessment system]. (Hogrefe, 1983).
Miller, R., Plessow, F., Kirschbaum, C. & Stalder, T. Classification criteria for distinguishing cortisol responders from nonresponders to psychosocial stress: Evaluation of salivary cortisol pulse detection in panel designs. Psychosom. Med. 75, 832–840 (2013).
pubmed: 24184845
doi: 10.1097/PSY.0000000000000002
Cohen, J., Cohen, P., West, S. G. & Aiken, L. S. Applied multiple regression/correlation analysis for the behavioral sciences (Routledge, 2002).
Field, A. P. & Wilcox, R. R. Robust statistical methods: A primer for clinical psychology and experimental psychopathology researchers. Behav. Res. Ther. 98, 19–38 (2017).
pubmed: 28577757
doi: 10.1016/j.brat.2017.05.013
Mair, P. & Wilcox, R. Robust statistical methods in R using the WRS2 package. Behav. Res. Methods. 52, 464–488 (2020).
pubmed: 31152384
doi: 10.3758/s13428-019-01246-w
Mair, P., Wilcox, R. & Patil, I. WRS2: A collection of robust statistical methods. (2024).
Faul, F., Erdfelder, E., Buchner, A. & Lang, A. G. Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behav. Res. Methods. 41, 1149–1160 (2009).
pubmed: 19897823
doi: 10.3758/BRM.41.4.1149
Faul, F., Erdfelder, E., Lang, A. G. & Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods. 39, 175–191 (2007).
pubmed: 17695343
doi: 10.3758/BF03193146
King, D. L. et al. Screening and assessment tools for gaming disorder: A comprehensive systematic review. Clin. Psychol. Rev. 77, 101831; https://doi.org/10.1016/j.cpr.2020.101831 (2020).
Kajantie, E. & Phillips, D. I. W. The effects of sex and hormonal status on the physiological response to acute psychosocial stress. Psychoneuroendocrinology. 31, 151–178 (2006).
Watson, P., Wiers, R. W., Hommel, B. & Wit, S. Working for food you don’t desire. Cues interfere with goal-directed food-seeking. Appetite. 79, 139–148 (2014).
Pool, E. R. & Sander, D. Vulnerability to relapse under stress: Insights from affective neuroscience. Swiss Med. Wkly. 149, 20151; https://doi.org/10.4414/smw.2019.20151 (2019).
Pierce-Messick, Z. & Corbit, L. H. Problematic eating as an issue of habitual control. Prog Neuropsychopharmacol. Biol. Psychiatry. 110, 110294; https://doi.org/10.1016/j.pnpbp.2021.110294 (2021).
Robinson, T. E. & Berridge, K. C. Incentive-sensitization and addiction. Addiction. 96, 103–114 (2001).
pubmed: 11177523
doi: 10.1046/j.1360-0443.2001.9611038.x
Shields, G. S., Sazma, M. A. & Yonelinas, A. P. The effects of acute stress on core executive functions: A meta-analysis and comparison with cortisol. Neurosci. Biobehav Rev. 68, 651–668 (2016).
pubmed: 27371161
pmcid: 5003767
doi: 10.1016/j.neubiorev.2016.06.038
Wang, G. Y., Simkute, D. & Griskova-Bulanova, I. Neurobiological link between stress and gaming: A scoping review. J. Clin. Med. 12, 3113 (2023).
pubmed: 37176554
pmcid: 10179187
doi: 10.3390/jcm12093113
Krarup, K. B. & Krarup, H. B. The physiological and biochemical effects of gaming: A review. Environ. Res. 184, 109344; https://doi.org/10.1016/j.envres.2020.109344 (2020).
Dong, G. & Potenza, M. N. A cognitive-behavioral model of internet gaming disorder: Theoretical underpinnings and clinical implications. J. Psychiatr Res. 58, 7–11 (2014).
pubmed: 25062755
pmcid: 4448942
doi: 10.1016/j.jpsychires.2014.07.005
van Timmeren, T., Piray, P., Goudriaan, A. E. & van Holst, R. J. Goal-directed and habitual decision making under stress in gambling disorder: An fMRI study. Addict. Behav. 140, 107628; https://doi.org/10.1016/j.addbeh.2023.107628 (2023).
Wyckmans, F. et al. The modulation of acute stress on model-free and model-based reinforcement learning in gambling disorder. J. Behav. Addict. 11, 831–844 (2022).
pubmed: 36112488
pmcid: 9872530
doi: 10.1556/2006.2022.00059
Billieux, J. et al. Problematic involvement in online games: A cluster analytic approach. Comput. Hum. Behav. 43, 242–250 (2015).
doi: 10.1016/j.chb.2014.10.055
Shields, G. S., Sazma, M. A., McCullough, A. M. & Yonelinas, A. P. The effects of acute stress on episodic memory: A meta-analysis and integrative review. Psychol. Bull. 143, 636–675 (2017).
pubmed: 28368148
pmcid: 5436944
doi: 10.1037/bul0000100
Hahn, B., Wells, A. K., Lenartowicz, A. & Yuille, M. B. Nicotine effects on associative learning in human non-smokers. Neuropsychopharmacology. 43, 2190–2196 (2018).
pubmed: 30131565
pmcid: 6135766
doi: 10.1038/s41386-018-0183-9
Seabrooke, T., Le Pelley, M. E., Porter, A. & Mitchell, C. J. Extinguishing cue-controlled reward choice: Effects of Pavlovian extinction on outcome-selective Pavlovian-instrumental transfer. J. Exp. Psychol. Anim. Learn. Cogn. 44, 280–292 (2018).
pubmed: 29985045
doi: 10.1037/xan0000176
Kirsten, H., Seib-Pfeifer, L. E. & Gibbons, H. Helpless against food cues: The influence of pro- and anti-sugar videos on instrumental food-seeking behaviour in a Pavlovian-to-instrumental transfer paradigm. Psychol. Health. 37, 633–657 (2021).
pubmed: 34101526
Gillan, C. M. et al. Enhanced avoidance habits in obsessive-compulsive disorder. Biol. Psychiatry. 75, 631–638 (2014).
pubmed: 23510580
pmcid: 3988923
doi: 10.1016/j.biopsych.2013.02.002
Scharkow, M., Festl, R. & Quandt, T. Longitudinal patterns of problematic computer game use among adolescents and adults – A 2-year panel study. Addiction. 109, 1910–1917 (2014).
pubmed: 24938480
doi: 10.1111/add.12662
Luce, C., Nadeau, L. & Kairouz, S. Pathways and transitions of gamblers over two years. Int. Gambl. Stud. 16, 357–372 (2016).
doi: 10.1080/14459795.2016.1209780
LaPlante, D. A., Nelson, S. E., LaBrie, R. A. & Shaffer, H. J. Stability and progression of disordered gambling: Lessons from longitudinal studies. Can. J. Psychiatry Rev. Can. Psychiatr. 53, 52–60 (2008).
doi: 10.1177/070674370805300108
Slutske, W. S., Jackson, K. M. & Sher, K. J. The natural history of problem gambling from age 18 to 29. J. Abnorm. Psychol. 112, 263–274 (2003).
pubmed: 12784836
doi: 10.1037/0021-843X.112.2.263
Steinfeld, M. R. & Bouton, M. E. Renewal of goal direction with a context change after habit learning. Behav. Neurosci. 135, 79–87 (2021).
pubmed: 33119327
doi: 10.1037/bne0000422
Jentsch, V. L., Pötzl, L., Wolf, O. T. & Merz, C. J. Hormonal contraceptive usage influences stress hormone effects on cognition and emotion. Front. Neuroendocrinol. 67, 101012; https://doi.org/10.1016/j.yfrne.2022.101012 (2022).
King, D. L. et al. Treatment of internet gaming disorder: An international systematic review and CONSORT evaluation. Clin. Psychol. Rev. 54, 123–133 (2017).
pubmed: 28458097
doi: 10.1016/j.cpr.2017.04.002
Zajac, K., Ginley, M. K. & Chang, R. Treatments of internet gaming disorder: A systematic review of the evidence. Expert Rev. Neurother. 20, 85–93 (2020).
pubmed: 31544539
doi: 10.1080/14737175.2020.1671824
Stevens, M. W. R., King, D. L., Dorstyn, D. & Delfabbro, P. H. Cognitive–behavioral therapy for internet gaming disorder: A systematic review and meta-analysis. Clin. Psychol. Psychother. 26, 191–203 (2019).
pubmed: 30341981
doi: 10.1002/cpp.2341
He, J., Pan, T., Nie, Y., Zheng, Y. & Chen, S. Behavioral modification decreases approach bias in young adults with internet gaming disorder. Addict. Behav. 113, 106686; https://doi.org/10.1016/j.addbeh.2020.106686 (2021).
Rabinovitz, S. & Nagar, M. Possible end to an endless quest? Cognitive bias modification for excessive multiplayer online gamers. Cyberpsychology Behav. Soc. Netw. 18, 581–587 (2015).
doi: 10.1089/cyber.2015.0173
Rosenthal, A., Chen, K. & Beck, A. Romanczuk-Seiferth, N. Modifying Pavlovian-to-instrumental transfer by approach avoidance training in healthy subjects: A proof of concept study. Sci. Rep. 13, 10074; https://doi.org/10.1038/s41598-023-37083-3 (2023).
Chen, K. et al. Automatic approach behaviors in alcohol dependence: Does a cognitive bias modification training affect Pavlovian-to-instrumental transfer effects? Neuropsychobiology. 81, 387–402 (2022).
pubmed: 36404705
doi: 10.1159/000526805
Wu, L. et al. Emotional bias modification weakens game-related compulsivity and reshapes frontostriatal pathways. Brain. 145, 4210–4221 (2022).
pubmed: 35861265
doi: 10.1093/brain/awac267