Current Addiction Reports

, Volume 4, Issue 3, pp 246–253 | Cite as

Cue-Reactivity, Craving, and Decision Making in Buying Disorder: a Review of the Current Knowledge and Future Directions

Shopping Addiction (A Müller and J Mitchell, Section Editors)
Part of the following topical collections:
  1. Topical Collection on Shopping Addiction

Abstract

Purpose of the Review

The current review summarizes the literature for buying disorder (BD) with a focus on addiction-relevant concepts such as craving, executive functions, and decision making.

Recent Findings

First, studies could demonstrate craving reactions in relationship to BD in both offline and online contexts. Decision-making studies demonstrated disadvantageous decision-making performance in individuals with BD when the outcomes and contingencies of the decision options are unknown (ambiguous risk). In contrast, unimpaired decision making was observed when outcomes and probabilities were explicitly provided (objective risk). Most studies reported normal executive functions in individuals with BD.

Summary

The findings emphasize the role of craving in the context of BD. Decision-making performance seems to be related to difficulties in emotional processing of negative consequences rather than to executive dysfunctions. The findings are discussed in the context of current models of addiction and decision making. We also suggest an integrative approach for a better understanding of the psychological processes underlying the phenomenon of BD and point out future research directions.

Keywords

Pathological buying Compulsive buying Buying addiction Compulsive shopping Shopping addiction Buying disorder 

Notes

Compliance with Ethical Standards

Conflict of Interest

Dr. Patrick Trotzke and Dr. Matthias Brand declare that they have no conflicts of interest. Dr. Katrin Starcke declares a grant from the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG Grant Number STA 1196/2-3).

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. 1.
    • Müller A, Mitchell JE, de Zwaan M. Compulsive buying. Am J Addict. 2015:24, 132–127. doi: 10.1111/ajad.12111. This current review article summarizes important factors for the etiology of BD and includes considerations with respect to the classification of BD.
  2. 2.
    Aboujaoude E. Compulsive buying disorder: a review and update. Curr Pharm Des. 2014;20:4021–5. doi: 10.2174/13816128113199990618.CrossRefPubMedGoogle Scholar
  3. 3.
    APA. Diagnostic and statistical manual of mental disorders. (5th ed., DSM-5). Arlington: American Psychiatric Publishing; 2013.Google Scholar
  4. 4.
    Hartston H. The case for compulsive shopping as an addiction. J Psychoactive Drugs. 2012;44:64–7. doi: 10.1080/02791072.2012.660110.CrossRefPubMedGoogle Scholar
  5. 5.
    Lawrence LM, Ciorciari J, Kyrios M. Relationships that compulsive buying has with addiction, obsessive-compulsiveness, hoarding, and depression. Compr Psychiatry. 2014;55:1137–45. doi: 10.1016/j.comppsych.2014.03.005.CrossRefPubMedGoogle Scholar
  6. 6.
    Hollander E, Allen A. Is compulsive buying a real disorder, and is it really compulsive? Am J Psychiatry. 2006;163:1670–2. doi: 10.1176/appi.ajp.163.10.1670.CrossRefPubMedGoogle Scholar
  7. 7.
    Lloyd N. Exploring the role of product involvement in shaping impulsive buying tendencies in online retail environments. J Promot Commun. 2014;2:87–112.Google Scholar
  8. 8.
    Brand M, Young KS, Laier C. Prefrontal control and internet addiction: a theoretical model and review of neuropsychological and neuroimaging findings. Front Hum Neurosci. 2014;8:1–13. doi: 10.3389/fnhum.2014.00375.CrossRefGoogle Scholar
  9. 9.
    Brand M, Young KS, Laier C, Wölfling 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;71:252–66. doi: 10.1016/j.neubiorev.2016.08.033.CrossRefPubMedGoogle Scholar
  10. 10.
    LaRose R. On the negative effects of e-commerce: a sociocognitive exploration of unregulated on-line buying. J Comput Commun 2006;6. doi: 10.1111/j.1083-6101.2001.tb00120.x.
  11. 11.
    Dittmar H, Long K, Bond R. When a better self is only a button click away: associations between materialistic values, emotional and identity–related buying motives, and compulsive buying tendency online. J Soc Clin Psychol. 2007;26:334–61. doi: 10.1521/jscp.2007.26.3.334.CrossRefGoogle Scholar
  12. 12.
    Serre F, Fatseas M, Swendsen J, Auriacombe M. Ecological momentary assessment in the investigation of craving and substance use in daily life: a systematic review. Drug Alcohol Depend. 2015;148:1–20. doi: 10.1016/j.drugalcdep.2014.12.024.CrossRefPubMedGoogle Scholar
  13. 13.
    Li X, Caprioli D, Marchant NJ. Recent updates on incubation of drug craving: a mini-review. Addict Biol. 2015;20:872–6. doi: 10.1111/adb.12205.CrossRefPubMedGoogle Scholar
  14. 14.
    Hyman SE, Malenka RC, Nestler EJ. Neural mechanisms of addiction: the role of reward-related learning and memory. Annu Rev Neurosci. 2006;29:565–98. doi: 10.1146/annurev.neuro.29.051605.113009.CrossRefPubMedGoogle Scholar
  15. 15.
    Tiffany S, Wray J. The clinical significance of drug craving. Ann N Y Acad Sci. 2012;1248:1–17. doi: 10.1111/j.1749-6632.2011.06298.x.CrossRefPubMedGoogle Scholar
  16. 16.
    Robinson TE, Berridge KC. The incentive sensitization theory of addiction: some current issues. Philos Trans R Soc B Biol Sci. 2008;363:3137–46. doi: 10.1098/rstb.2008.0093.CrossRefGoogle Scholar
  17. 17.
    Carter BL, Tiffany ST. Meta-analysis of cue-reactivity in addiction research. Addiction. 1999;94:327–40. doi: 10.1046/j.1360-0443.1999.9433273.x.CrossRefPubMedGoogle Scholar
  18. 18.
    Robinson TE, Berridge KC. The neural basis of drug craving: an incentive-sensitization theory of addiction. Brain Res Rev. 1993;18:247–91. doi: 10.1016/0165-0173(93)90013-P.CrossRefPubMedGoogle Scholar
  19. 19.
    Goldstein RZ, Volkow ND. Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nat Rev Neurosci. 2011;12:652–69. doi: 10.1038/nrn3119.CrossRefPubMedPubMedCentralGoogle Scholar
  20. 20.
    Koob GF, Volkow ND. Neurobiology of addiction: a neurocircuitry analysis. Lancet Psychiatry. 2016;3:760–73. doi: 10.1016/S2215-0366(16)00104-8.CrossRefPubMedGoogle Scholar
  21. 21.
    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;70:785–93. doi: 10.1016/j.biopsych.2011.05.025.CrossRefPubMedPubMedCentralGoogle Scholar
  22. 22.
    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;33:1318–26. doi: 10.1111/j.1460-9568.2010.07590.x.CrossRefPubMedGoogle Scholar
  23. 23.
    Potenza MN. The neural bases of cognitive processes in gambling disorder. Trends Cogn Sci. 2014;18:429–38. doi: 10.1016/j.tics.2014.03.007.CrossRefPubMedPubMedCentralGoogle Scholar
  24. 24.
    Fauth-Bühler M, Mann K, Potenza MN. Pathological gambling: a review of the neurobiological evidence relevant for its classification as an addictive disorder. Addict Biol. 2016; doi: 10.1111/adb.12378.
  25. 25.
    van Holst RJ, van Holstein M, van den Brink W, Veltman DJ, Goudriaan AE. Response inhibition during cue reactivity in problem gamblers: an fMRI study. PLoS One. 2012;7:e30909. doi: 10.1371/journal.pone.0030909.CrossRefPubMedPubMedCentralGoogle Scholar
  26. 26.
    Meng Y, Deng W, Wang H, Guo W, Li T, Lam C, et al. Reward pathway dysfunction in gambling disorder: a meta-analysis of functional magnetic resonance imaging studies. Behav Brain Res. 2014;275:243–51. doi: 10.1016/j.bbr.2014.08.057.CrossRefPubMedGoogle Scholar
  27. 27.
    Ko CH, Liu GC, Yen JY, Yen CF, Chen CS, Lin WC. The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with Internet gaming addiction and nicotine dependence. J Psychiatr Res. 2013;47:486–93. doi: 10.1016/j.jpsychires.2012.11.008.CrossRefPubMedGoogle Scholar
  28. 28.
    Sun Y, Ying H, Seetohul RM, Xuemei W, Ya Z, Qian L, et al. Brain fMRI study of crave induced by cue pictures in online game addicts (male adolescents). Behav Brain Res. 2012;233:563–76. doi: 10.1016/j.bbr.2012.05.005.CrossRefPubMedGoogle Scholar
  29. 29.
    Liu L, Yip SW, Zhang J-T, Wang L-J, Shen Z-J, Liu B, et al. Activation of the ventral and dorsal striatum during cue reactivity in Internet gaming disorder. Addict Biol. 2016; doi: 10.1111/adb.12338.
  30. 30.
    Lorenz RC, Krüger JK, Neumann B, Schott BH, Kaufmann C, Heinz A, et al. Cue reactivity and its inhibition in pathological computer game players. Addict Biol. 2013;18:134–46. doi: 10.1111/j.1369-1600.2012.00491.x.CrossRefPubMedGoogle Scholar
  31. 31.
    Laier C, Pawlikowski M, Pekal J, Schulte FP, Brand M. Cybersex addiction: experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference. J Behav Addict. 2013;2:100–7. doi: 10.1556/JBA.2.2013.002.CrossRefPubMedGoogle Scholar
  32. 32.
    Brand M, Snagowski J, Laier C, Maderwald S. Ventral striatum activity when watching preferred pornographic pictures is correlated with symptoms of internet pornography addiction. NeuroImage. 2016;129:224–32. doi: 10.1016/j.neuroimage.2016.01.033.CrossRefPubMedGoogle Scholar
  33. 33.
    Starcke K, Schlereth B, Domass D, Schöler T, Brand M. Cue reactivity towards shopping cues in female participants. J Behav Addict. 2013;2:17–22. doi: 10.1556/JBA.1.2012.012.CrossRefPubMedGoogle Scholar
  34. 34.
    Lawrence LM, Ciorciari J, Kyrios M. Cognitive processes associated with compulsive buying behaviours and related EEG coherence. Psychiatry Res. 2014;221:97–103. doi: 10.1016/j.pscychresns.2013.10.005.CrossRefPubMedGoogle Scholar
  35. 35.
    •• Trotzke P, Starcke K, Pedersen A, Brand M. Cue-induced craving in pathological buying: empirical evidence and clinical implications. Psychosom Med. 2014;76:694–700. doi: 10.1097/PSY.0000000000000126. This article examines cue-reactivity and craving reactions with respect to shopping-related pictures in a well-diagnosed sample of BD individuals on subjective and physiological (skin conductance) levels in comparison to control participants and control cues.CrossRefPubMedGoogle Scholar
  36. 36.
    Raab G, Elger CE, Neuner M, Weber B. A neurological study of compulsive buying behaviour. J Consum Policy. 2011;34:401–13. doi: 10.1007/s10603-011-9168-3.CrossRefGoogle Scholar
  37. 37.
    Grant JE. Three cases of compulsive buying treated with naltrexone. Int J Psychiatry Clin Pract. 2003;7:223–5. doi: 10.1080/13651500310003219.CrossRefGoogle Scholar
  38. 38.
    Kim SW. Opioid antagonists in the treatment of impulse-control disorders. J Clin Psychiatry. 1998;59:165–71. doi: 10.4088/JCP.v59n0403.CrossRefGoogle Scholar
  39. 39.
    Trotzke P, Starcke K, Müller A, Brand M. Pathological buying online as a specific form of Internet addiction: a model-based experimental investigation. PLoS One. 2015;10:e0140296. doi: 10.1371/journal.pone.0140296.CrossRefPubMedPubMedCentralGoogle Scholar
  40. 40.
    Bechara A. Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci. 2005;8:1458–63. doi: 10.1038/nn1584.CrossRefPubMedGoogle Scholar
  41. 41.
    Schiebener J, Brand M. Decision making under objective risk conditions—a review of cognitive and emotional correlates, strategies, feedback processing, and external influences. Neuropsychol Rev. 2015;25:171–98. doi: 10.1007/s11065-015-9285-x.CrossRefPubMedGoogle Scholar
  42. 42.
    Bechara A, Tranel D, Damasio H. Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain. 2000;123:2189–202. doi: 10.1093/brain/123.11.2189.CrossRefPubMedGoogle Scholar
  43. 43.
    Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50:7–15. doi: 10.1016/0010-0277(94)90018-3.CrossRefPubMedGoogle Scholar
  44. 44.
    Turnbull OH, Bowman CH, Shanker S, Davies JL. Emotion-based learning: insights from the Iowa Gambling Task. Front Psychol. 2014;5:1–11. doi: 10.3389/fpsyg.2014.00162.CrossRefGoogle Scholar
  45. 45.
    Olsen VV, Lugo RG, Sütterlin S. The somatic marker theory in the context of addiction: contributions to understanding development and maintenance. Psychol res Behav Manag. 2015;8:187–200. doi: 10.2147/PRBM.S68695.PubMedPubMedCentralGoogle Scholar
  46. 46.
    Brevers D, Bechara A, Cleeremans A, Noël X. Iowa Gambling Task (IGT): twenty years after—gambling disorder and IGT. Front Psychol. 2013;4:1–14. doi: 10.3389/fpsyg.2013.00665.CrossRefGoogle Scholar
  47. 47.
    Brand M, Fujiwara E, Borsutzky S, Kalbe E, Kessler J, Markowitsch HJ. Decision-making deficits of Korsakoff patients in a new gambling task with explicit rules: associations with executive functions. Neuropsychology. 2005;19:267–77. doi: 10.1037/0894-4105.19.3.267.CrossRefPubMedGoogle Scholar
  48. 48.
    Rogers RD, Owen AM, Middleton HC, Williams EJ, Pickard JD, Sahakian BJ, et al. Choosing between small, likely rewards and large, unlikely rewards activates inferior and orbital prefrontal cortex. J Neurosci. 1999;19:9029–38.PubMedGoogle Scholar
  49. 49.
    Brand M, Labudda K, Markowitsch HJ. Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Netw. 2006;19:1266–76. doi: 10.1016/j.neunet.2006.03.001.CrossRefPubMedGoogle Scholar
  50. 50.
    Brand M, Roth-Bauer M, Driessen M, Markowitsch HJ. Executive functions and risky decision-making in patients with opiate dependence. Drug Alcohol Depend. 2008;97:64–72. doi: 10.1016/j.drugalcdep.2008.03.017.CrossRefPubMedGoogle Scholar
  51. 51.
    Brand M, Kalbe E, Labudda K, Fujiwara E, Kessler J, Markowitsch HJ. Decision-making impairments in patients with pathological gambling. Psychiatry res. 2005;133:91–9. doi: 10.1016/j.psychres.2004.10.003.CrossRefPubMedGoogle Scholar
  52. 52.
    Labudda K, Wolf OT, Markowitsch HJ, Brand M. Decision-making and neuroendocrine responses in pathological gamblers. Psychiatry Res. 2007;153:233–43. doi: 10.1016/j.psychres.2007.02.002.CrossRefPubMedGoogle Scholar
  53. 53.
    Yao Y-W, Chen P-R, Chen C, Wang L-J, Zhang J-T, Xue G, et al. Failure to utilize feedback causes decision-making deficits among excessive Internet gamers. Psychiatry res. 2014;219:583–8. doi: 10.1016/j.psychres.2014.06.033.CrossRefPubMedGoogle Scholar
  54. 54.
    Pawlikowski M, Brand M. Excessive Internet gaming and decision making: do excessive World of Warcraft players have problems in decision making under risky conditions? Psychiatry Res. 2011;188:428–33. doi: 10.1016/j.psychres.2011.05.017.CrossRefPubMedGoogle Scholar
  55. 55.
    Brand M, Heinze K, Labudda K, Markowitsch HJ. The role of strategies in deciding advantageously in ambiguous and risky situations. Cogn Process. 2008;9:159–73. doi: 10.1007/s10339-008-0204-4.CrossRefPubMedGoogle Scholar
  56. 56.
    •• Trotzke P, Starcke K, Pedersen A, Müller A, Brand M. Impaired decision making under ambiguity but not under risk in individuals with pathological buying—behavioral and psychophysiological evidence. Psychiatry Res. 2015;229:551–8. doi: 10.1016/j.psychres.2015.05.043. This article detects decision-making deficits in ambiguous risk but not under objective risk conditions in a sample of well-diagnosed BD individuals in comparison to control participants. In addition, emotional (skin conductance) and cognitive (executive function) correlates are assessed.CrossRefPubMedGoogle Scholar
  57. 57.
    •• Voth EM, Claes L, Georgiadou E, Selle J, Trotzke P, Brand M, et al. Reactive and regulative temperament in patients with compulsive buying and non-clinical controls measured by self-report and performance-based tasks. Compr Psychiatry. 2014;55:1505–12. doi: 10.1016/j.comppsych.2014.05.011. This article assesses temperament facets and detects decision-making deficits under ambiguous risk in well-diagnosed individuals with BD compared to matched control participants. Interestingly, the patients are unimpaired with respect to further executive functions (measured by stroop task) and task performances are not related to self-report measurements for temperament.CrossRefPubMedGoogle Scholar
  58. 58.
    •• Black DW, Shaw M, McCormick B, Bayless JD, Allen J. Neuropsychological performance, impulsivity, ADHD symptoms, and novelty seeking in compulsive buying disorder. Psychiatry Res. 2012;200:581–7. doi: 10.1016/j.psychres.2012.06.003. In this article, no significant (but descriptive) differences with respect to decision making under ambiguous risk were observed in a group of BD participants compared to control participants. An extensive test battery revealed no impairments for executive functioning and memory for individuals with BD.CrossRefPubMedPubMedCentralGoogle Scholar
  59. 59.
    •• Vogt S, Hunger A, Pietrowsky R, Gerlach AL. Impulsivity in consumers with high compulsive buying propensity. J Obsessive Compuls Relat Disord. 2015;7:54–64. doi: 10.1016/j.jocrd.2015.10.002. This article investigates participants with a high propensity to BD, explores the role of comorbid hoarding symptoms with respect to impulsivity, and detects no impairments in decision making under objective risk conditions in comparison to control participants.CrossRefGoogle Scholar
  60. 60.
    Derbyshire KL, Chamberlain SR, Odlaug BL, Schreiber LRN, Grant JE. Neurocognitive functioning in compulsive buying disorder. Ann Clin Psychiatry. 2014;26:57–63.PubMedGoogle Scholar
  61. 61.
    Dong G, Potenza MN. A cognitive-behavioral model of Internet gaming disorder: theoretical underpinnings and clinical implications. J Psychiatr Res. 2014;58:7–11. doi: 10.1016/j.jpsychires.2014.07.005.CrossRefPubMedPubMedCentralGoogle Scholar
  62. 62.
    Kellett S, Bolton JV. Compulsive buying: a cognitive-behavioural model. Clin Psychol Psychother. 2009;16:83–99. doi: 10.1002/cpp.585.CrossRefPubMedGoogle Scholar
  63. 63.
    Morris LS, Voon V. Dimensionality of cognitions in behavioral addiction. Curr Behav Neurosci Rep. 2016;3:49–57. doi: 10.1007/s40473-016-0068-3.CrossRefPubMedPubMedCentralGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Patrick Trotzke
    • 1
  • Matthias Brand
    • 1
    • 2
  • Katrin Starcke
    • 1
  1. 1.General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR)University of Duisburg-EssenDuisburgGermany
  2. 2.Erwin L. Hahn Institute for Magnetic Resonance ImagingEssenGermany

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