Abstract
Purpose of Review
The present review attempts to provide a comprehensive and critical overview of the neurocognitive mechanisms of gambling disorder (GD), problematic pornography use (PPU), and binge-eating disorder (BED), focusing specifically on decision-making processes.
Recent Findings
GD, PPU, and BED have been associated with decision-making impairments both under risk and ambiguity. Features such as intelligence, emotions, social variables, cognitive distortions, comorbidities, or arousal may condition decision-making processes in these individuals.
Summary
Impairments in decision-making seem to be a shared transdiagnostic feature of these disorders. However, there is varying support for the degree to which different features may affect decision-making. Therefore, the study of decision-making processes can provide crucial evidence for understanding addictions and other disorders with addiction-like symptomatology.
Similar content being viewed by others
References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. 2013.
Duffy A, Dawson DL. das Nair R. pornography addiction in adults: a systematic review of definitions and reported impact. Journal of Sexual Medicine. 2016;13(5):760–77.
Chóliz M. The challenge of online gambling: the effect of legalization on the increase in online gambling addiction. J Gambl Stud. 2016;32(2):749–56.
Curtis GR, Coudriet JM, Sanzalone L, Mack NR, Stein LM, Hayes MR, et al. Short- and long-access palatable food self-administration results in different phenotypes of binge-type eating. Physiol Behav. 2019;212:112700.
Love T, Laier C, Brand M, Hatch L, Hajela R. Neuroscience of internet pornography addiction: a review and update. Behavioral Sciences. 2015;5(3):388–433.
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. 2017;22(4):885–97.
Gola M, Wordecha M, Sescousse G, Lew-Starowicz M, Kossowski B, Wypych M, et al. Can pornography be addictive? An fMRI study of men seeking treatment for problematic pornography use. Neuropsychopharmacology. 2017;42(10):2021–31.
Leeman RF, Rowland BHP, Gebru NM, Potenza MN. Relationships among impulsive, addictive and sexual tendencies and behaviours: a systematic review of experimental and prospective studies in humans. Philos Trans R Soc Lond Ser B Biol Sci. 2019;374(1766):20180129.
•• Balodis IM, Potenza MN. Common neurobiological and psychological underpinnings of gambling and substance-use disorders. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2020;99:109847. This study examines exhaustively decision-making and essential features of addictive disorders, comparing gambling disorder with substance-use disorders.
Balodis IM, Grilo CM, Potenza MN. Neurobiological features of binge eating disorder. CNS Spectrums. 2015;20(6):557–65.
Maij DLR, Van De Wetering BJM, Franken IHA. Cognitive control in young adults with cannabis use disorder: an event-related brain potential study. J Psychopharmacol. 2017;31(8):1015–26.
Steward T, Menchon JM, Jiménez-Murcia S, Soriano-Mas C, Fernandez-Aranda F. Neural network alterations across eating disorders: a narrative review of fMRI studies. Curr Neuropharmacol. 2017;16(8):1150–63.
Wang KS, Smith DV, Delgado MR. Using fMRI to study reward processing in humans: past, present, and future. J Neurophysiol. 2016;115(3):1664–78.
Bodell LP, Wildes JE, Goldschmidt AB, Lepage R, Keenan KE, Guyer AE, et al. Associations between neural reward processing and binge eating among adolescent girls. J Adolesc Health. 2018;62(1):107–13.
Weidacker K, Johnston SJ, Mullins PG, Boy F, Dymond S. Impulsive decision-making and gambling severity: the influence of γ-amino-butyric acid (GABA) and glutamate-glutamine (Glx). Eur Neuropsychopharmacol. 2020;32:36–46.
Reiter AMF, Heinze HJ, Schlagenhauf F, Deserno L. Impaired flexible reward-based decision-making in binge eating disorder: evidence from computational modeling and functional neuroimaging. Neuropsychopharmacology. 2017;42(3):628–37.
Negash S, Sheppard NVN, Lambert NM, Fincham FD. Trading later rewards for current pleasure: pornography consumption and delay discounting. J Sex Res. 2016;53(6):689–700.
Wyckmans F, Otto AR, Sebold M, Daw N, Bechara A, Saeremans M, et al. Reduced model-based decision-making in gambling disorder. Sci Rep. 2019;9(1).
Gu Y, Ting ZC, Yang J, Zhang Q, G hui Z, Sun L, et al. A transdiagnostic comparison of affective decision-making in patients with schizophrenia, major depressive disorder, or bipolar disorder. PsyCh J. 2020;9(2):199–209.
Balogh KN, Mayes LC, Potenza MN. Risk-taking and decision-making in youth: relationships to addiction vulnerability. J Behav Addict. 2013;2(1):1–9.
Balodis IM, Potenza MN. Anticipatory reward processing in addicted populations: a focus on the monetary incentive delay task. Biol Psychiatry. 2015;77(5):434–44.
Potenza MN. What integrated interdisciplinary and translational research may tell us about addiction. Addiction. 2010;105(5):792.
Brand M, Wegmann E, Stark R, Müller A, Wölfling K, Robbins TW, 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.
Antons S, Brand M, Potenza M. Neurobiology of cue-reactivity, craving, and inhibitory control in non-substance addictive behaviors. J Neurol Sci. 2020;116952.
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.
Kessler RM, Hutson PH, Herman BK, Potenza MN. The neurobiological basis of binge-eating disorder. Neurosci Biobehav Rev. 2016;63:223–38.
Treasure J, Leslie M, Chami R, Fernández-Aranda F. Are trans diagnostic models of eating disorders fit for purpose? A consideration of the evidence for food addiction. Eur Eat Disord Rev. 2018;26(2):83–91.
Leslie M, Turton R, Burgess E, Nazar BP, Treasure J. Testing the addictive appetite model of binge eating: the importance of craving, coping, and reward enhancement. Eur Eat Disord Rev. 2018;26(6):541–50.
Volkow ND, Wang GJ, Tomasi D, Baler RD. Obesity and addiction: neurobiological overlaps. Obes Rev. 2013;14(1):2–18.
Hebebranda J, Albayraka Ö, Adanb R, Antel J, Dieguezc C, De Jongb J, et al. “Eating addiction”, rather than “food addiction,” better captures addictive-like eating behavior. Neurosci Biobehav Rev. 2014;47:295–306.
Balodis IM, Kober H, Worhunsky PD, Stevens MC, Pearlson GD, Potenza MN. Diminished frontostriatal activity during processing of monetary rewards and losses in pathological gambling. Biol Psychiatry. 2012;71(8):749–57.
Balodis IM, Kober H, Worhunsky PD, White MA, Stevens MC, Pearlson GD, et al. Monetary reward processing in obese individuals with and without binge eating disorder. Biol Psychiatry. 2013;73(9):877–86.
Potenza MN. Non-substance addictive behaviors in the context of DSM-5. Addictive Behaviors. 2014;39(1).
Gearhardt A, White M, Potenza M. Binge eating disorder and food addiction. Current Drug Abuse Reviews. 2011;4(3):201–7.
Burrows T, Kay-Lambkin F, Pursey K, Skinner J, Dayas C. Food addiction and associations with mental health symptoms: a systematic review with meta-analysis. J Hum Nutr Diet. 2018;31(4):544–72.
Mestre-Bach G, Jiménez-Murcia S, Fernández-Aranda F, Potenza MN. Addressing controversies surrounding food addiction. Compulsive eating behavior and food addiction: emerging pathological constructs. 2019 (pp. 419-448). Academic Press.
•• de Alarcón R, de la Iglesia J, Casado N, Montejo A. Online porn addiction: what we know and what we don’t—a systematic review. J Clin Med. 2019;8(1):91. This article summarizes the studies about online problematic pornography use and outline areas of further research.
Duffy A, Dawson DL. das Nair R. pornography addiction in adults: a systematic review of definitions and reported impact. Journal of Sexual Medicine. 2016;13(5):760–77.
World Health Organization. ICD-11. 2018.
Kraus SW, Voon V, Potenza MN. Should compulsive sexual behavior be considered an addiction? Addiction. 2016;111(12):2097–106.
Stark R, Klucken T, Potenza MN, Brand M, Strahler J. A current understanding of the behavioral neuroscience of compulsive sexual behavior disorder and problematic pornography use. Curr Behav Neurosci Reports. 2018;5(4):218–31.
Potenza MN. The importance of animal models of decision making, gambling, and related behaviors: implications for translational research in addiction. Neuropsychopharmacology. 2009;34(13):2623–4.
Sachdev PS, Blacker D, Blazer DG, Ganguli M, Jeste DV, Paulsen JS, et al. Classifying neurocognitive disorders: the DSM-5 approach. Nat Rev Neurol. 2014;10(11):634–42.
•• Koffarnus MN, Kaplan BA. Clinical models of decision making in addiction. Pharmacology Biochemistry and Behavior. 2018; 164:71–83. This study provides a thorough description of the assessment of decision-making in addiction.
Soyata AZ, Aksu S, Woods AJ, İşçen P, Saçar KT, Karamürsel S. Effect of transcranial direct current stimulation on decision making and cognitive flexibility in gambling disorder. Eur Arch Psychiatry Clin Neurosci. 2019;269(3):275–84.
Spechler PA, Chaarani B, Hudson KE, Potter A, Foxe JJ, Garavan H. Response inhibition and addiction medicine: from use to abstinence. In Progress in brain research (Vol. 223, pp. 143-164). Elsevier.
Perales JC, King DL, Navas JF, Schimmenti A, Sescousse G, Starcevic V, et al. Learning to lose control: a process-based account of behavioral addiction. Neurosci Biobehav Rev. 2020;108:771–80.
Bechara A. Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci. 2005;8(11):1458–63.
Kahneman D. A perspective on judgment and choice: mapping bounded rationality. Am Psychol. 2003;58(9):697–720.
Stevens T, Brevers D, Chambers CD, Lavric A, McLaren IPL, Mertens M, et al. How does response inhibition influence decision making when gambling? J Exp Psychol Appl. 2015;21(1):15–36.
Logan GD, Gordon RD. Executive control of visual attention in dual-task situations. Psychol Rev. 2001;108(2):393–434.
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(2):171–98.
Liebherr M, Schiebener J, Averbeck H, Brand M. Decision making under ambiguity and objective risk in higher age—a review on cognitive and emotional contributions. Front Psychol. 2017;8:2128.
Figner B, Mackinlay RJ, Wilkening F, Weber EU. Affective and deliberative processes in risky choice: age differences in risk taking in the Columbia Card Task. J Exp Psychol Learn Mem Cogn. 2009;35(3):709–30.
FeldmanHall O, Glimcher P, Baker AL, Phelps EA. Emotion and decision-making under uncertainty: physiological arousal predicts increased gambling during ambiguity but not risk. J Exp Psychol Gen. 2016;145(10):1255–62.
Hamilton KR, Mitchell MR, Wing VC, Balodis IM, Bickel WK, Fillmore M, et al. Choice impulsivity: definitions, measurement issues, and clinical implications. Personal Disord Theory Res Treat. 2015;6(2):182–98.
Fineberg NA, Potenza MN, Chamberlain SR, Berlin HA, Menzies L, Bechara A, et al. Probing compulsive and impulsive behaviors, from animal models to endophenotypes: a narrative review. Neuropsychopharmacology. 2010;35(3):591–604.
Kovács I, Richman MJ, Janka Z, Maraz A, Andó B. Decision making measured by the Iowa Gambling Task in alcohol use disorder and gambling disorder: a systematic review and meta-analysis. Drug Alcohol Depend. 2017;181:152–61.
Winstanley CA, Clark L. Translational models of gambling-related decision making. In: Current topics in behavioral neurosciences. 2016. (pp. 93-120). Springer. Cham. .
Navas JF, Torres A, Vilar R, Verdejo-García A, Catena A, Perales JC. Nonmonetary decision-making indices discriminate between different behavioral components of gambling. J Gambl Stud. 2014;31(4):1545–60.
Laakasuo M, Palomäki J, Salmela M. Emotional and social factors influence poker decision making accuracy. J Gambl Stud. 2015;31(3):933–47.
Krmpotich T, Mikulich-Gilbertson S, Sakai J, Thompson L, Banich MT, Tanabe J. Impaired decision-making, higher impulsivity, and drug severity in substance dependence and pathological gambling. J Addict Med. 2015;9(4):273–80.
Fortune EE, Goodie AS. Cognitive distortions as a component and treatment focus of pathological gambling: a review. Psychol Addict Behav. 2012;26(2):298–310.
Ciccarelli M, Griffiths MD, Nigro G, Cosenza M. Decision-making, cognitive distortions and alcohol use in adolescent problem and non-problem gamblers: an experimental study. J Gambl Stud. 2016;32(4):1203–13.
Potenza MN. The neural bases of cognitive processes in gambling disorder. Trends Cogn Sci. 2014;18(8):429–38.
Potenza MN, Balodis IM, Derevensky J, Grant JE, Petry NM, Verdejo-Garcia A, et al. Gambling disorder. Nat Rev Dis Prim. 2019.
Passanisi A, Craparo G, Pace U. Magical thinking and decision-making strategies among late adolescent regular gamblers: a mediation model. J Adolesc. 2017;59:51–8.
Kräplin A, Dshemuchadse M, Behrendt S, Scherbaum S, Goschke T, Bühringer G. Dysfunctional decision-making in pathological gambling: pattern specificity and the role of impulsivity. Psychiatry Res. 2014;215(3):675–82.
Achab S, Karila L, Khazaal Y. Pathological gambling: update on decision making and neuro-functional studies in clinical samples. Curr Pharm Des. 2014;20(25):4000–11.
Wulff DU, van den Bos W. Modeling choices in delay discounting. Psychol Sci. 2018;29(11):1890–4.
Steward T, Mestre-Bach G, Fernández-Aranda F, Granero R, Perales JC, Navas JF, et al. Delay discounting and impulsivity traits in young and older gambling disorder patients. Addict Behav. 2017;71:96–103.
Balodis IM, Linnet J, Arshad F, Worhunsky PD, Stevens MC, Pearlson GD, et al. Relating neural processing of reward and loss prospect to risky decision-making in individuals with and without gambling disorder. Int Gambl Stud. 2018;18(2):269–85.
Mallorquí-Bagué N, Fagundo AB, Jimenez-Murcia S, De La Torre R, Baños RM, Botella C, et al. Decision making impairment: a shared vulnerability in obesity, gambling disorder and substance use disorders? PLoS One. 2016;11(9).
Nigro G, Ciccarelli M, Cosenza M. The illusion of handy wins: problem gambling, chasing, and affective decision-making. J Affect Disord. 2018;225:256–9.
Wiehler A, Peters J. Reward-based decision making in pathological gambling: the roles of risk and delay. Neurosci Res. 2015;90:3–14.
Cavedini P, Riboldi G, Keller R, D’Annucci A, Bellodi L. Frontal lobe dysfunction in pathological gambling patients. Biol Psychiatry. 2002;51(4):334–41.
Goudriaan AE, Oosterlaan J, De Beurs E, Van Den Brink W. Decision making in pathological gambling: a comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cogn Brain Res. 2005;23(1):137–51.
Ledgerwood DM, Orr ES, Kaploun KA, Milosevic A, Frisch GR, Rupcich N, et al. Executive function in pathological gamblers and healthy controls. J Gambl Stud. 2012;28(1):89–103.
• Cosenza M, Ciccarelli M, Nigro G. Decision-making styles, negative affectivity, and cognitive distortions in adolescent gambling. J Gambl Stud. 2019;35(2):517–31. This study assessed the role of decision-making styles in gambling disorder and its association with cognitive distortions, and negative affectivity.
Phillips WJ, Fletcher JM, Marks ADG, Hine DW. Thinking styles and decision making: a meta-analysis. Psychol Bull. 2016;142(3):260–90.
Scott SG, Bruce RA. Decision-making style: the development and assessment of a new measure. Educ Psychol Meas. 1995;55(5):818–31.
Lui M, Hsu M. Viewing sexual images is associated with reduced physiological arousal response to gambling loss. PLoS One. 2018;13(4).
Kowalewska E, Grubbs JB, Potenza MN, Gola M, Draps M, Kraus SW. Neurocognitive mechanisms in compulsive sexual behavior disorder. Curr Sex Heal Reports. 2018;10(4):255–64.
Skakoon-Sparling S, Cramer KM, Shuper PA. The impact of sexual arousal on sexual risk-taking and decision-making in men and women. Arch Sex Behav. 2016;45(1):33–42.
Woolf-King SE, Maisto S, Carey M, Vanable P. Selection of film clips and development of a video for the investigation of sexual decision making among men who have sex with men. J Sex Res. 2010;47(6):589–97.
Laier C, Pawlikowski M, Brand M. Sexual picture processing interferes with decision-making under ambiguity. Arch Sex Behav. 2014;43(3):473–82.
Scott-Sheldon LAJ, Carey KB, Cunningham K, Johnson BT, Carey MP. Alcohol use predicts sexual decision-making: a systematic review and meta-analysis of the experimental literature. AIDS Behav. 2016;20:19–39.
Antons S, Mueller SM, Wegmann E, Trotzke P, Schulte MM, Brand M. Facets of impulsivity and related aspects differentiate among recreational and unregulated use of Internet pornography. J Behav Addict. 2019;8(2):223–33.
Antons S, Brand M. Trait and state impulsivity in males with tendency towards internet-pornography-use disorder. Addict Behav. 2018;79:171–7.
Hilton DL. Pornography addiction—a supranormal stimulus considered in the context of neuroplasticity. Socioaffective Neurosci Psychol. 2013;3(1):20767.
Mechelmans DJ, Irvine M, Banca P, Porter L, Mitchell S, Mole TB, et al. Enhanced attentional bias towards sexually explicit cues in individuals with and without compulsive sexual behaviours. PLoS One. 2014;9(8).
Snagowski J, Brand M. Symptoms of cybersex addiction can be linked to both approaching and avoiding pornographic stimuli: results from an analog sample of regular cybersex users. Front Psychol. 2015;6.
Schiebener L, Laier C, Brand M. Getting stuck with pornography? Overuse or neglect of cybersex cues in a multitasking situation is related to symptoms of cybersex addiction. J Behav Addict. 2015;4(1):14–21.
• Sklenarik S, Potenza MN, Gola M, Kor A, Kraus SW, Astur RS. Approach bias for erotic stimuli in heterosexual male college students who use pornography. J Behav Addict. 2019;8(2):234–41. This study assessed a possible approach bias for erotic stimuli using an approach-avoidance task.
Sklenarik S, Potenza MN, Gola M, Astur RS. Approach bias for erotic stimuli among heterosexual female college students who use pornography. Addict Behav. 2020;108:106438.
Kraus SW, Rosenberg H, Martino S, Nich C, Potenza MN. The development and initial evaluation of the pornography-use avoidance self-efficacy scale. J Behav Addict. 2017;6(3):354–63.
Kühn S, Gallinat J. Brain structure and functional connectivity associated with pornography consumption the brain on porn. JAMA Psychiatry. 2014;71(7):827–34.
Svaldi J, Brand M, Tuschen-Caffier B. Decision-making impairments in women with binge eating disorder. Appetite. 2010;54(1):84–92.
World Health Organization (WHO). Obesity and overweight. 2017.
Voon V, Derbyshire K, Rück C, Irvine MA, Worbe Y, Enander J, et al. Disorders of compulsivity: a common bias towards learning habits. Mol Psychiatry. 2015;20(3):345–52.
Voon V, Morris LS, Irvine MA, Ruck C, Worbe Y, Derbyshire K, et al. Risk-taking in disorders of natural and drug rewards: neural correlates and effects of probability, valence, and magnitude. Neuropsychopharmacology. 2015;40(4):804–12.
Voon V. Cognitive biases in binge eating disorder: the hijacking of decision making. Vol. 20, CNS Spectrums. 2015. p. 566–73.
Aloi M, Rania M, Caroleo M, Bruni A, Palmieri A, Cauteruccio MA, et al. Decision making, central coherence and set-shifting: a comparison between binge eating disorder, anorexia nervosa and healthy controls. BMC Psychiatry. 2015;15(1):1–10.
Córdova ME, Schiavon CC, Busnello FM, Reppold CT. Nutritional and neuropsychological profile of the executive functions on binge eating disorder in obese adults. Nutr Hosp. 2017.
Danner UN, Ouwehand C, Van Haastert NL, Hornsveld H, De Ridder DTD. Decision-making impairments in women with binge eating disorder in comparison with obese and normal weight women. Eur Eat Disord Rev. 2012;20(1):e56–62.
Steward T, Mestre-Bach G, Vintró-Alcaraz C, Agüera Z, Jiménez-Murcia S, Granero R, et al. Delay discounting of reward and impulsivity in eating disorders: from anorexia nervosa to binge eating disorder. Eur Eat Disord Rev. 2017;25(6):601–6.
Manwaring JL, Green L, Myerson J, Strube MJ, Wilfley DE. Discounting of various types of rewards by women with and without binge eating disorder: evidence for general rather than specific differences. Psychol Rec. 2011;1(4):561–82.
Bartholdy S, Rennalls S, Danby H, Jacques C, Campbell IC, Schmidt U, et al. Temporal discounting and the tendency to delay gratification across the eating disorder spectrum. Eur Eat Disord Rev. 2017;25(5):344–50.
Manasse SM, Forman EM, Ruocco AC, Butryn ML, Juarascio AS, Fitzpatrick KK. Do executive functioning deficits underpin binge eating disorder? A comparison of overweight women with and without binge eating pathology. Int J Eat Disord. 2015;48(6):677–83.
Kittel R, Schmidt R, Hilbert A. Executive functions in adolescents with binge-eating disorder and obesity. Int J Eat Disord. 2017;50(8):933–41.
Wu M, Brockmeyer T, Hartmann M, Skunde M, Herzog W, Friederich HC. Reward-related decision making in eating and weight disorders: a systematic review and meta-analysis of the evidence from neuropsychological studies. Neurosci Biobehav Rev. 2016;61:177–96.
Guillaume S, Gorwood P, Jollant F, Van Den Eynde F, Courtet P, Richard-Devantoy S. Impaired decision-making in symptomatic anorexia and bulimia nervosa patients: a meta-analysis. Psychol Med. 2015;45(16):3377–91.
Funding
Financial support was received through the Ministerio de Ciencia, Innovación y Universidades (grant RTI2018-101837-B-100). FIS PI14/00290 and FIS PI17/01167 received aid from the Ministerio de Sanidad, Servicios Sociales e Igualdad. The research was also funded by the Delegación del Gobierno para el Plan Nacional sobre Drogas (2017I067), CIBER Fisiología Obesidad y Nutrición (CIBERobn), ISCIII. We thank CERCA Programme/Generalitat de Catalunya for institutional support. Fondo Europeo de Desarrollo Regional (FEDER) “Una manera de hacer Europa”/“a way to build Europe.” Dr. Mestre-Bach was supported by a postdoctoral grant from the Fundación Ciudadanía y Valores. Dr. Potenza’s involvement was supported by the NIH grant R01 DK121551 and by the Connecticut Council on Problem Gambling and the Connecticut Department of Mental Health and Addiction Services.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
None of the authors have any conflicts of interest. Marc Potenza has consulted for Rivermend Health, Opiant Therapeutics, Game Day Data, Addiction Policy Forum, Idorisa Pharmaceuticals and AXA; has received research support from Mohegan Sun Casino and the National Center for Responsible Gaming; has participated in surveys, mailings, or telephone consultations related to drug addiction, impulse-control disorders, or other health topics; has consulted for and/or advised gambling, health, and legal entities on issues related to impulse-control/addictive disorders; has provided clinical care in a problem gambling services program; has performed grant reviews for research-funding agencies; has edited journals and journal sections; has given academic lectures in grand rounds, CME events, and other clinical or scientific venues; and has generated books or book chapters for publishers of mental health texts. Dr. Mestre-Bach reports grants from Fundación Ciudadanía y Valores during the conduct of the study.
Human and Animal Rights
This article does not contain any studies with human or animal subjects performed by any of the authors.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This article is part of the Topical Collection on Addictions
Rights and permissions
About this article
Cite this article
Mestre-Bach, G., Fernández-Aranda, F., Jiménez-Murcia, S. et al. Decision-Making in Gambling Disorder, Problematic Pornography Use, and Binge-Eating Disorder: Similarities and Differences. Curr Behav Neurosci Rep 7, 97–108 (2020). https://doi.org/10.1007/s40473-020-00212-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40473-020-00212-7