A Case–Control Study on Behavioral Addictions and Neurocognition: Description of the BANCO and BANCO2 Protocols

References

• Goodman A. Addiction: definition and implications. Addiction. 1990;85(11):1403–1408. doi:10.1111/j.1360-0443.1990.tb01620.x
   Web of Science ®Google Scholar
• American Psychiatry Association. DSM-5: Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Publishing; 2013.
   Google Scholar
• Goodman A. What’s in a name? Terminology for designating a syndrome of driven sexual behavior. Sex Addict Compulsivity. 2001;8:191–213. doi:10.1080/107201601753459919
   Google Scholar
• Hebebrand J, Albayrak Ö, Adan R, et al. “Eating addiction”, rather than “food addiction”, better captures addictive-like eating behavior. Neurosci Biobehav Rev. 2014;47:295–306. doi:10.1016/j.neubiorev.2014.08.01625205078
   PubMed Web of Science ®Google Scholar
• Meule A. Back by popular demand: a Narrative review on the history of food addiction research. Yale J Biol Med. 2015;88:295–302.26339213
   PubMedGoogle Scholar
• Chen W-J. Frequent exercise: a healthy habit or a behavioral addiction? Chronic Dis Transl Med. 2016;2:235–240. doi:10.1016/j.cdtm.2016.11.01429063048
   PubMedGoogle Scholar
• Cuzen NL, Stein DJ. Chapter 2 - Behavioral addiction: the Nexus of impulsivity and compulsivity. In: Rosenberg KP, Feder LC, editors. Behavioral Addictions. San Diego: Academic Press; 2014:19–34. doi:10.1016/B978-0-12-407724-9.00002-1
   Google Scholar
• Hussain N, Guanci N, Raza M, Ostrovsky D. Shopping addiction. If the shoes fits, buy it in every color! In: Ascher M, Levounis P, editors. The Behavioral Addictions. American Psychiatric Pub; 2015.
   Google Scholar
• Griffiths MD. Compulsive sexual behaviour as a behavioural addiction: the impact of the internet and other issues. Addiction. 2016;111(12):2107–2108. doi:10.1111/add.1331526936832
   PubMed Web of Science ®Google Scholar
• Kraus SW, Voon V, Potenza MN. Should compulsive sexual behavior be considered an addiction? Addiction. 2016;111(12):2097–2106. doi:10.1111/add.1329726893127
   PubMed Web of Science ®Google Scholar
• Schulte EM, Potenza MN, Gearhardt AN. A commentary on the “eating addiction” versus “food addiction” perspectives on addictive-like food consumption. Appetite. 2017;115:9–15. doi:10.1016/j.appet.2016.10.03327984189
   PubMed Web of Science ®Google Scholar
• Chamberlain SR, Grant JE. Behavioral Addictions. 1st ed. In: Fontenelle LF, Yücel M, editors. A Transdiagnostic Approach to Obsessions, Compulsions and Related Phenomena. 1st Ed. Cambridge University Press; 2019:401–412. doi:10.1017/9781108164313.032
   Google Scholar
• Kraus SW, Krueger RB, Briken P, et al. Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry. 2018;17(1):109–110. doi:10.1002/wps.2049929352554
   PubMed Web of Science ®Google Scholar
• World Health Organization. International Classification of Diseases (11th Revision); 2018.
   Google Scholar
• Goodman A. Neurobiology of addiction. An integrative review. Biochem Pharmacol. 2008;75:266–322.17764663
   PubMed Web of Science ®Google Scholar
• Kühn S, Gallinat J. Chapter Three - Neurobiological basis of hypersexuality. In: Zahr NM, Peterson ET, editors. International Review of Neurobiology. Academic Press; 2016:67–83. doi:10.1016/bs.irn.2016.04.002
   Google Scholar
• Garcia FD, Thibaut F. Sexual addictions. Am J Drug Alcohol Abuse. 2010;36(5):254–260. doi:10.3109/00952990.2010.50382320666699
   PubMed Web of Science ®Google Scholar
• 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;8:223–233. doi:10.1556/2006.8.2019.2231120316
   PubMed Web of Science ®Google Scholar
• Gola M, Wordecha M, Sescousse G, et al. Can pornography be addictive? An fMRI Study of men seeking treatment for problematic pornography use. Neuropsychopharmacol. 2017;42:2021–2031. doi:10.1038/npp.2017.78
   PubMed Web of Science ®Google Scholar
• Voon V, Mole TB, Banca P, et al. Neural correlates of sexual cue reactivity in individuals with and without compulsive sexual behaviours. PLoS One. 2014;9(7):e102419. doi:10.1371/journal.pone.010241925013940
   PubMed Web of Science ®Google Scholar
• Kowalewska E, Grubbs JB, Potenza MN, Gola M, Draps M, Kraus SW. Neurocognitive mechanisms in compulsive sexual behavior disorder. Curr Sex Health Rep. 2018;10:255–264. doi:10.1007/s11930-018-0176-z
   Google Scholar
• Leppink EW, Grant JE. Behavioral and pharmacological treatment of compulsive sexual behavior/problematic hypersexuality. Curr Addict Rep. 2016;3(4):406–413. doi:10.1007/s40429-016-0122-y
   Google Scholar
• Raymond NC, Grant JE, Coleman E. Augmentation with naltrexone to treat compulsive sexual behavior: a case series. Ann Clin Psychiatry. 2010;22:56–62.20196983
   PubMed Web of Science ®Google Scholar
• Verholleman A, Victorri-Vigneau C, Laforgue E, Derkinderen P, Verstuyft C, Grall-Bronnec M. Naltrexone use in treating hypersexuality induced by dopamine replacement therapy: impact of OPRM1 A/G polymorphism on its effectiveness. Int J Mol Sci. 2020;21:3002. doi:10.3390/ijms21083002
   Web of Science ®Google Scholar
• Potenza MN, Gola M, Voon V, Kor A, Kraus SW. Is excessive sexual behaviour an addictive disorder? Lancet Psychiatry. 2017;4(9):663–664. doi:10.1016/S2215-0366(17)30316-4
   PubMed Web of Science ®Google Scholar
• Imperatori C, Fabbricatore M, Vumbaca V, Innamorati M, Contardi A, Farina B. Food addiction: definition, measurement and prevalence in healthy subjects and in patients with eating disorders. Riv Psichiatr. 2016;51:60–65. doi:10.1708/2246.2419627183510
   PubMed Web of Science ®Google Scholar
• Meule A, Gearhardt AN. Food addiction in the light of DSM-5. Nutrients. 2014;6(9):3653–3671. doi:10.3390/nu609365325230209
   PubMed Web of Science ®Google Scholar
• Corsica JA, Pelchat ML. Food addiction: true or false? Curr Opin Gastroenterol. 2010;26(2):165–169. doi:10.1097/MOG.0b013e328336528d20042860
   PubMed Web of Science ®Google Scholar
• Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite. 2009;52(2):430–436. doi:10.1016/j.appet.2008.12.00319121351
   PubMed Web of Science ®Google Scholar
• de Vries S-K, Meule A. Food addiction and bulimia nervosa: new data based on the Yale Food Addiction Scale 2.0. Eur Eat Disord Rev. 2016;24(6):518–522. doi:10.1002/erv.247027578243
   PubMed Web of Science ®Google Scholar
• Granero R, Hilker I, Agüera Z, et al. Food addiction in a Spanish sample of eating disorders: DSM-5 diagnostic subtype differentiation and validation data. Eur Eat Disord Rev. 2014;22(6):389–396. doi:10.1002/erv.231125139680
   PubMed Web of Science ®Google Scholar
• Leslie M, Lambert E, Treasure J. Towards a translational approach to food addiction: implications for bulimia nervosa. Curr Addict Rep. 2019;6(3):258–265. doi:10.1007/s40429-019-00264-0
   Google Scholar
• Hilker I, Sánchez I, Steward T, et al. Food addiction in bulimia nervosa: clinical correlates and association with response to a brief psychoeducational intervention. Eur Eat Disord Rev. 2016;24(6):482–488. doi:10.1002/erv.247327593963
   PubMed Web of Science ®Google Scholar
• Gearhardt AN, Yokum S, Orr PT, Stice E, Corbin WR, Brownell KD. Neural correlates of food addiction. Arch Gen Psychiatry. 2011;68:808–816. doi:10.1001/archgenpsychiatry.2011.3221464344
   PubMed Web of Science ®Google Scholar
• Kalon E, Hong JY, Tobin C, Schulte T. Chapter Four - Psychological and neurobiological correlates of food addiction. In: Zahr NM, Peterson ET, editors. International Review of Neurobiology. Academic Press; 2016:85–110. doi:10.1016/bs.irn.2016.06.003
   Google Scholar
• Wang GJ, Volkow ND, Logan J, et al. Brain dopamine and obesity. Lancet. 2001;357:354–357. doi:10.1016/s0140-6736(00)03643-611210998
   PubMed Web of Science ®Google Scholar
• Lindgren E, Gray K, Miller G, et al. Food addiction: a common neurobiological mechanism with drug abuse. Front Biosci (Landmark Ed). 2018;23:811–836. doi:10.2741/461828930574
   PubMed Web of Science ®Google Scholar
• Stoeckel LE, Weller RE, Cook EW, Twieg DB, Knowlton RC, Cox JE. Widespread reward-system activation in obese women in response to pictures of high-calorie foods. Neuroimage. 2008;41:636–647. doi:10.1016/j.neuroimage.2008.02.03118413289
   PubMed Web of Science ®Google Scholar
• Meule A, Küppers C, Harms L, et al. Food cue-induced craving in individuals with bulimia nervosa and binge-eating disorder. PLoS One. 2018;13:e0204151. doi:10.1371/journal.pone.020415130212574
   PubMed Web of Science ®Google Scholar
• Gordon EL, Ariel-Donges AH, Bauman V, Merlo LJ. What is the evidence for “Food Addiction?” A systematic review. Nutrients. 2018;10(4):477. doi:10.3390/nu10040477
   PubMed Web of Science ®Google Scholar
• Kim HS, Hodgins DC. Component model of addiction treatment: a pragmatic transdiagnostic treatment model of behavioral and substance addictions. Front Psychiatry. 2018;9. doi:10.3389/fpsyt.2018.00406
   Web of Science ®Google Scholar
• 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. doi:10.1016/j.neubiorev.2019.06.03231247240
   PubMed Web of Science ®Google Scholar
• 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;71:252–266. doi:10.1016/j.neubiorev.2016.08.03327590829
   PubMed Web of Science ®Google Scholar
• Bechara A. Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci. 2005;8:1458–1463. doi:10.1038/nn1584
   Google Scholar
• Noel X, Brevers D, Bechara A. A neurocognitive approach to understanding the neurobiology of addiction. Curr Opin Neurobiol. 2013;23(4):632–638. doi:10.1016/j.conb.2013.01.01823395462
   PubMed Web of Science ®Google Scholar
• Wei L, Zhang S, Turel O, Bechara A, He Q. A tripartite neurocognitive model of internet gaming disorder. Front Psychiatry. 2017;8. doi:10.3389/fpsyt.2017.00285
   Web of Science ®Google Scholar
• Ciccarelli M, Griffiths MD, Nigro G, Cosenza M. Decision making, cognitive distortions and emotional distress: a comparison between pathological gamblers and healthy controls. J Behav Ther Exp Psychiatry. 2017;54:204–210. doi:10.1016/j.jbtep.2016.08.01227592413
   PubMed Web of Science ®Google Scholar
• Balodis IM. Neuropsychology in GD: old and new directions. Curr Opin Behav Sci. 2020;31:48–53. doi:10.1016/j.cobeha.2019.11.002
   Web of Science ®Google Scholar
• MacLeod CM. The concept of inhibition in cognition. In: Gorfein DS, MacLeod CM, editors. Inhibition in Cognition. Washington, DC, US: American Psychological Association; 2007:3–23.
   Google Scholar
• Ioannidis K, Hook R, Wickham K, Grant JE, Chamberlain SR. Impulsivity in gambling disorder and problem gambling: a meta-analysis. Neuropsychopharmacol. 2019;44(8):1354–1361. doi:10.1038/s41386-019-0393-9
   PubMed Web of Science ®Google Scholar
• Chowdhury NS. Pathological gambling and motor impulsivity: a systematic review with meta-analysis. J Gambl Stud. 2017;27.
   Google Scholar
• Miyake A, Friedman NP. The nature and organization of individual differences in executive functions: four general conclusions. Curr Dir Psychol Sci. 2012;1:8–14.
   Web of Science ®Google Scholar
• Rochat L, Maurage P, Heeren A, Billieux J. Let’s open the decision-making umbrella: a framework for conceptualizing and assessing features of impaired decision making in addiction. Neuropsychol Rev. 2019;29:27–51. doi:10.1007/s11065-018-9387-330293096
   PubMed Web of Science ®Google Scholar
• Hønsi A, Mentzoni RA, Molde H, Pallesen S. Attentional bias in problem gambling: a systematic review. J Gambl Stud. 2013;29(3):359–375. doi:10.1007/s10899-012-9315-z22644097
   PubMed Web of Science ®Google Scholar
• Couture SM, Penn DL, Roberts DL. The functional Significance of social cognition in schizophrenia: a review. Schizophr Bull. 2006;32:20. doi:10.1093/schbul/sbl02916269625
   PubMed Web of Science ®Google Scholar
• Adolphs R. The neurobiology of social cognition. Curr Opin Neurobiol. 2001;11:231–239. doi:10.1016/S0959-4388(00)00202-611301245
   PubMed Web of Science ®Google Scholar
• Green MF, Penn DL, Bentall R, et al. Social cognition in schizophrenia: an NIMH workshop on definitions, assessment, and research opportunities. Schizophr Bull. 2008;34:1211–1220. doi:10.1093/schbul/sbm14518184635
   PubMed Web of Science ®Google Scholar
• Hurel E, Challet-Bouju G, Bukowski N, Eyzop E, Grall-Bronnec M. Gambling and social cognition: a systematic review. Curr Addict Rep. 2019. doi:10.1007/s40429-019-00280-0
   Google Scholar
• Challet-Bouju G, Bruneau M, Victorri-Vigneau C, Grall-Bronnec M. Cognitive remediation interventions for gambling disorder: a systematic review. Front Psychol. 2017;8. doi:10.3389/fpsyg.2017.01961
   Web of Science ®Google Scholar
• Kornreich C, Saeremans M, Delwarte J, et al. Impaired non-verbal emotion processing in pathological gamblers. Psychiatry Res. 2016;236:125–129. doi:10.1016/j.psychres.2015.12.02026730447
   PubMed Web of Science ®Google Scholar
• Argyriou E, Davison CB, Lee TTC. Response inhibition and internet gaming disorder: a meta-analysis. Addict Behav. 2017;7.
   Google Scholar
• Choi S-W, Kim HS, Kim G-Y, et al. Similarities and differences among Internet gaming disorder, gambling disorder and alcohol use disorder: a focus on impulsivity and compulsivity. J Behav Addict. 2014;3:246–253. doi:10.1556/JBA.3.2014.4.625592310
   PubMed Web of Science ®Google Scholar
• Dong G, Potenza MN. Risk-taking and risky decision-making in Internet gaming disorder: implications regarding online gaming in the setting of negative consequences. J Psychiatr Res. 2016;73:1–8. doi:10.1016/j.jpsychires.2015.11.01126656573
   PubMed Web of Science ®Google Scholar
• Billieux J, Potenza MN, Maurage P, Brevers D, Brand M, King DL. Chapter 16 - Cognitive factors associated with gaming disorder. In: Verdejo-Garcia A, editor. Cognition and Addiction. Academic Press; 2020:221–230. doi:10.1016/B978-0-12-815298-0.00016-2
   Google Scholar
• Schiebener J, Brand M. Decision-making and related processes in internet gaming disorder and other types of internet-use disorders. Curr Addict Rep. 2017;4(3):262–271. doi:10.1007/s40429-017-0156-9
   Google Scholar
• Metcalf O, Pammer K. Attentional bias in excessive massively multiplayer online role-playing gamers using a modified Stroop task. Comput Human Behav. 2011;27(5):1942–1947. doi:10.1016/j.chb.2011.05.001
   Web of Science ®Google Scholar
• Peng X, Cui F, Wang T, Jiao C. Unconscious processing of facial expressions in individuals with internet gaming disorder. Front Psychol. 2017;8:1059. doi:10.3389/fpsyg.2017.0105928690578
   PubMed Web of Science ®Google Scholar
• He J, Zheng Y, Fan L, Pan T, Nie Y. Automatic processing advantage of cartoon face in internet gaming disorder: evidence from P100, N170, P200, and MMN. Front Psychiatry. 2019;10:824. doi:10.3389/fpsyt.2019.0082431780973
   PubMed Web of Science ®Google Scholar
• Su W, Potenza MN, Zhang Z, Hu X, Gao L, Wang Y. Do individuals with problematic and non-problematic internet game use differ in cooperative behaviors with partners of different social distances? Evidence from the prisoner’s dilemma and chicken game. Comput Human Behav. 2018;87:363–370. doi:10.1016/j.chb.2018.05.040
   Web of Science ®Google Scholar
• Steward T, Mestre-Bach G, Vintró-Alcaraz C, et al. Food addiction and impaired executive functions in women with obesity. Eur Eat Disord Rev. 2018;26(6):574–584. doi:10.1002/erv.263630159982
   PubMed Web of Science ®Google Scholar
• Blume M, Schmidt R, Hilbert A. Executive functioning in obesity, food addiction, and binge-eating disorder. Nutrients. 2019;11:54. doi:10.3390/nu11010054
   Web of Science ®Google Scholar
• Wyckoff EP, Evans BC, Manasse SM, Butryn ML, Forman EM. Executive functioning and dietary intake: neurocognitive correlates of fruit, vegetable, and saturated fat intake in adults with obesity. Appetite. 2017;111:79–85. doi:10.1016/j.appet.2016.12.03928042040
   PubMed Web of Science ®Google Scholar
• Brockmeyer T, Hamze Sinno M, Skunde M, et al. Inhibitory control and hedonic response towards food interactively predict success in a weight loss programme for adults with obesity. Obes Facts. 2016;9(5):299–309. doi:10.1159/00044749227701173
   PubMed Web of Science ®Google Scholar
• 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;34: 1448–1454. doi:10.20960/nh.1151
   Google Scholar
• Cassin SE, von Ranson KM. Is binge eating experienced as an addiction? Appetite. 2007;49: 687–690. doi:10.1016/j.appet.2007.06.012
   Google Scholar
• Grubbs JB, Hoagland KC, Lee BN, Grant JT, Davison P, Reid RC, et al. Sexual addiction 25 years on: A systematic and methodological review of empirical literature and an agenda for future research. Clinical Psychology Review. 2020;82: 101925. doi:10.1016/j.cpr.2020.101925
   Google Scholar
• Mechelmans DJ, Irvine M, Banca P, et al. Enhanced attentional bias towards sexually explicit cues in individuals with and without compulsive sexual behaviours. PLoS One. 2014;9(8):e105476. doi:10.1371/journal.pone.010547625153083
   PubMed Web of Science ®Google Scholar
• Miner MH, Raymond N, Mueller BA, Lloyd M, Lim KO. Preliminary investigation of the impulsive and neuroanatomical characteristics of compulsive sexual behavior. Psychiatry Res. 2009;174(2):146–151. doi:10.1016/j.pscychresns.2009.04.00819836930
   PubMed Web of Science ®Google Scholar
• Reid RC, Garos S, Carpenter BN, Coleman E. A surprising finding related to executive control in a patient sample of hypersexual men. J Sex Med. 2011;8(8):2227–2236. doi:10.1111/j.1743-6109.2011.02314.x21595837
   PubMed Web of Science ®Google Scholar
• Antons S, Brand M. Trait and state impulsivity in males with tendency towards Internet-pornography-use disorder. Addict Behav. 2018;79:171–177. doi:10.1016/j.addbeh.2017.12.02929291508
   PubMed Web of Science ®Google Scholar
• Schiebener J, 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: 14–21. doi:10.1556/JBA.4.2015.1.5
   Google Scholar
• Gerstein D, Hoffmann J, Larison C, Murphy S, Palmer A, Chuchro L, et al. Gambling Impact and Behavior Study. National Gambling Impact Study Commission (NORC);1999. Available: http://www.norc.org/PDFs/publications/GIBSFinalReportApril1999.pdf.
   Google Scholar
• Hodgins DC. Using the NORC DSM Screen for Gambling Problems as an outcome measure for pathological gambling: psychometric evaluation. Addictive Behaviors. 2004;29:1685–1690. doi:10.1016/j.addbeh.2004.03.017
   Google Scholar
• Carnes PJ, Hopkins TA, Green BA Clinical relevance of the proposed sexual addiction diagnostic criteria: relation to the Sexual Addiction Screening Test-Revised. J Addict Med. 2014;8:450-61. doi:10.1097/ADM.0000000000000080
   Google Scholar
• Brunault P, Courtois R, Gearhardt A, Gaillard P, Journiac K, Cathelain S, et al. Validation of the French Version of the DSM-5 Yale Food Addiction Scale (YFAS 2.0) in a Nonclinical Sample. The Canadian Journal of Psychiatry. 2017;62:199–210. doi:10.1177/0706743716673320
   Google Scholar
• Chan, A.-W., Tetzlaff, J. M., Altman, D. G., et al SPIRIT 2013 Statement: Defining Standard Protocol Items for Clinical Trials. Annals of Internal Medicine. 2013;158(3):200. doi:10.7326/0003-4819-158-3-201302050-00583
   Google Scholar
• Chan, A.-W., Tetzlaff, J. M., Gøtzsche, P. C., et al SPIRIT 2013 explanation and elaboration: Guidance for protocols of clinical trials. BMJ. 2013;346. doi:10.1136/bmj.e7586
   Google Scholar
• Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 198367:361-370.
   Google Scholar
• Roberge P, Doré I, Menear M, et al. A psychometric evaluation of the French Canadian version of the Hospital Anxiety and Depression Scale in a large primary care population.Journal of Affective Disorders. 2013;147:171–179. doi:10.1016/j.jad.2012.10.029
   Google Scholar
• Lecrubier Y, Sheehan D, Weiller E, Amorim P, Bonora I, Sheehan KH, et al. The Mini International Neuropsychiatric Interview (MINI). A short diagnostic structured interview: reliability and validity according to the CIDI. Eur psychiatr. 1997;12:224–231. doi:10.1016/S0924-9338(97)83296-8
   Google Scholar
• Chamberlain SR, Grant JE. Minnesota Impulse Disorders Interview (MIDI): Validation of a structured diagnostic clinical interview for impulse control disorders in an enriched community sample. Psychiatry Res 2018;265:279–283. doi:10.1016/j.psychres.2018.05.006
   Google Scholar
• Ward MF, Wender PH, Reimherr FW The Wender Utah Rating Scale: an aid in the retrospective diagnosis of childhood attention deficit hyperactivity disorder. Am J Psychiatry. 1993;150:885-890. doi:10.1176/ajp.150.6.885
   Google Scholar
• Romo L, Legauffre C, Mille S, Chèze N, Fougères A-L, Marquez S, et al. Propriétés psychométriques des versions françaises des échelles d’hyperactivité de Wender (WURS) et de l’Échelle de déficit d’attention de Brown (ADD). Encephale. 2010;36:380–389. doi:10.1016/j.encep.2009.12.005
   Google Scholar
• Kessler RC, Adler L, Ames M, Demler O, Faraone S, Hiripi E, et al. The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychol Med. 2005;35:245–256. doi:10.1017/s0033291704002892
   Google Scholar
• van de Glind G, van den Brink W, Koeter MWJ, Carpentier P-J, van Emmerik-van Oortmerssen K, Kaye S, et al. Validity of the Adult ADHD Self-Report Scale (ASRS) as a screener for adult ADHD in treatment seeking substance use disorder patients. Drug Alcohol Depend. 2013;132:587–596. doi:10.1016/j.drugalcdep.2013.04.010
   Google Scholar
• Ferris J, Wynne H. The Canadian Problem Gambling Index: Final Reports. 2001 p.59.
   Google Scholar
• Demetrovics Z, Szeredi B, Rózsa S The three-factor model of Internet addiction: the development of the Problematic Internet Use Questionnaire. Behav Res Methods. 2008;40:563-574.
   Google Scholar
• Laconi S, Urbán R, Kaliszewska-Czeremska K, Kuss DJ, Gnisci A, Sergi I, et al. Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users. Front Psychiatry Psychon Bull Rev. 2019;10:136. doi:10.3389/fpsyt.2019.00136
   Web of Science ®Google Scholar
• Carnes P, Green B, Carnes S. The Same Yet Different: Refocusing the Sexual Addiction Screening Test (SAST) to Reflect Orientation and Gender. Sex Addict Compulsivity2010;17:7–30. doi:10.1080/10720161003604087
   Google Scholar
• Hegbe KG, Courtois R, Brunault P, Reveillere C, Barrault S. Validation de la version française du Sexual Addiction Screening Test (SAST-Fr). [Validation of the French version of the Sexual Addiction Screening Test (SAST-Fr)]. Encephale. 2020;S0013700620300233. doi:10.1016/j.encep.2019.11.011
   Google Scholar
• Garner D. Eating Disorder Inventory 2 - Professional manual. Psychological Assessment Ressources; 1991.
   Google Scholar
• Tasca GA, Illing V, Lybanon-Daigle V, Bissada H, Balfour L. Psychometric Properties of the Eating Disorders Inventory-2 among Women Seeking Treatment for Binge Eating Disorder. Assessment. Psychiatry Res. 2003;10:228–236. doi:10.1177/1073191103255001
   Web of Science ®Google Scholar
• Whiteside SP, Lynam DR. The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Pers Individ Dif. Pers Individ Dif. 2001;30:669–689. doi:10.1016/S0191-8869(00)00064-7
   Google Scholar
• Van der Linden M, d’Acremont M, Zermatten A, Jermann F, Larøi F, Willems S, et al. A French Adaptation of the UPPS Impulsive Behavior Scale. Eur J Psychol Assess. 2006;22(1):38–42. doi:10.1027/1015-5759.22.1.38
   Google Scholar
• Rosenberg M. Society and the Adolescent Self-Image. Princeton University Press; 2015;
   Google Scholar
• Vallieres EF, Vallerand RJ. Traduction et Validation Canadienne-Française de L’échelle de L’estime de Soi de Rosenberg. [Translation and Validation of the Canadian-French version of the Rosenberg Self-Esteem Scale]. International Journal of Psychology. 1990;25305–316 doi:10.1080/00207599008247865.
   Google Scholar
• Cloninger CR, Svrakic DM, Przybeck TR. A psychobiological model of temperament and character. Arch Gen Psychiatry. 1993;50:975–990. doi:10.1001/archpsyc.1993.01820240059008
   Google Scholar
• Chakroun-Vinciguerra N, Faytout M, Pélissolo A, Swendsen J. Validation française de la version courte de l’Inventaire du Tempérament et du Caractére (TCI-125). [French validation of the short version of the Temperament and Character Inventory (TCI-125)]. J Behav Cogn Ther. Nat Protoc. 2005;15:27–33. doi:10.1016/S1155-1704(05)81209-1
   Google Scholar
• Loas, G., Fremaux, D., & Marchand, M. (1995). Etude de la structure factorielle et de la cohérence interne de la version française de l’échelle d’alexithymie de Toronto à 20 items (TAS-20) chez un groupe de 183 sujets sains. Encéphale. 21:n°2117–122.
   Google Scholar
• Loas G, Otmani O, Verrier A, Fremaux D, Marchand MP. Factor analysis of the French version of the 20-Item Toronto Alexithymia Scale (TAS-20). Psychopathology. 1996;29:139–144. doi:10.2466/pms.1997.85.3.1018
   Google Scholar
• Loas, G., Parker, J. D., Otmani, O., Verrier, A., & Fremaux, D. (1997). Confirmatory factor analysis of the French translation of the 20-item Toronto Alexithymia Scale. Perceptual and Motor Skills. 85;(3pt 1):1018. doi:10.2466/pms.1997.85.3.1018
   Google Scholar
• Martinez ME. What is Metacognition?Phi Delta Kappan. 2006;87(9):696–699. doi:10.1177/003172170608700916
   Google Scholar
• Spada MM, Caselli G, Nikčević AV, Wells A. Metacognition in addictive behaviors. Addictive Behaviors. 2015;44:9–15. doi:10.1016/j.addbeh.2014.08.002
   Google Scholar
• Quiles C, Verdoux H, Prouteau A. Assessing metacognition during a cognitive task: impact of “on-line” metacognitive questions on neuropsychological performances in a non-clinical sample. J Int Neuropsychol Soc. 2014;20(5):547–554. doi:10.1017/S135561771400029024867441
   PubMed Web of Science ®Google Scholar
• Spada MM, Wells A. Metacognitive beliefs about alcohol use: development and validation of two self-report scales. Addict Behav. 2008;33(4):515–527. doi:10.1016/j.addbeh.2007.10.01118054174
   PubMed Web of Science ®Google Scholar
• Brickenkamp R. D2. Test d’attention concentrée manuel. Hogrefe; 2007;
   Google Scholar
• Hester R, Dixon V, Garavan H. A consistent attentional bias for drug-related material in active cocaine users across word and picture versions of the emotional Stroop task. Drug Alcohol Depend. 2006;81:251–257. doi:10.1016/j.drugalcdep.2005.07.002
   Google Scholar
• Boyer M, Dickerson M. Attentional bias and addictive behaviour: automaticity in a gambling-specific modified Stroop task. Addiction. 2003;98:61–70. doi:10.1046/j.1360-0443.2003.00219.x
   Google Scholar
• Pilli R, Naidu M, Pingali UR, Shobha JC, Reddy AP. A computerized stroop test for the evaluation of psychotropic drugs in healthy participants. Indian J Psychol Med. 2013;35(2);180–189. doi:10.4103/0253-7176.11625124049230
   PubMedGoogle Scholar
• Penner I-K, Kobel M, Stöcklin M, Weber P, Opwis K, Calabrese P. The stroop task: comparison between the original paradigm and computerized versions in children and adults. Clin Neuropsychol. 2012;1–12. doi:10.1080/13854046.2012.713513
   Web of Science ®Google Scholar
• Stroop JR. Studies of interference in serial verbal reactions. Journal of Experimental Psychology. 1935;18:643–662. doi:10.1037/h0054651
   Google Scholar
• Trotzke P, Starcke K, Pedersen A, Brand M Cue-induced Craving in Pathological Buying: Empirical Evidence and Clinical Implications. Psychosomatic Medicine. 2014;76:694–700. doi:10.1097/PSY.0000000000000126
   Google Scholar
• van Rooijen R, Ploeger A, Kret ME. The dot-probe task to measure emotional attention: A suitable measure in comparative studies? Psychon Bull Rev. 2017;24: 1686–1717. doi:10.3758/s13423-016-1224-1
   Google Scholar
• Damasio AR. Descarte’s error: emotion, reason, and the human brain /. G.P. Putnam; 1994.
   Google Scholar
• 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;181:152–161. doi:10.1016/j.drugalcdep.2017.09.023
   Google Scholar
• Franken IHA, van Strien JW, Nijs I, Muris P. Impulsivity is associated with behavioral decision-making deficits. Psychiatry Research. 2008;158:155–163. doi:10.1016/j.psychres.2007.06.002
   Google Scholar
• Bechara A, Damasio AR, Damasio H, Anderson S. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50:9. doi:10.1016/0010-0277(94)90018-3
   Google Scholar
• 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. Cognitive Brain Research. 2005;23:137–151. doi:10.1016/j.cogbrainres.2005.01.017
   Google Scholar
• Cardebat D, Doyon B, Puel M, Goulet P, Joanette Y. [Formal and semantic lexical evocation in normal subjects. Performance and dynamics of production as a function of sex, age and educational level]. Acta Neurol Belg. 1990;90:207–217.
   Google Scholar
• Lezak MD, Howieson DB, Loring DW, Hannay HJ, Fischer JS. Neuropsychological assessment, 4th ed. New York, NY, US: Oxford University Press; 2004.
   Google Scholar
• Eslinger PJ, Grattan LM. Frontal lobe and frontal-striatal substrates for different forms of human cognitive flexibility. Neuropsychologia. 1993;31:17–28. doi:10.1016/0028-3932(93)90077-D
   Google Scholar
• Bowie CR, Harvey PD. Administration and interpretation of the Trail Making Test. Nat Protoc. 2006;1:2277–2281. doi:10.1038/nprot.2006.390
   Google Scholar
• Nelson HE. A Modified Card Sorting Test Sensitive to Frontal Lobe Defects. Cortex. 1976;12:313–324. doi:10.1016/S0010-9452(76)80035-4
   Google Scholar
• Mackinnon A, Mulligan R. Estimation de l’intelligence prémorbide chez les francophones. Encephale. 2005;31:31–43. doi:10.1016/S0013-7006(05)82370-X
   Google Scholar
• Bright P, Hale E, Gooch VJ, Myhill T, van der Linde I. The National Adult Reading Test: restandardisation against the Wechsler Adult Intelligence Scale—Fourth edition. Neuropsychol Rehabil. 2016;28: 11. doi:10.1080/09602011.2016.1231121
   Google Scholar
• Rey A. L’examen psychologie dan les cas d’encéphalopathie traumatique (Les problèmes) [The psychological examination in cases of traumatic encepholopathy (Problems)]. Arch Psychol. 1941;28:215–285.
   Google Scholar
• Meyer, J. E., & Meyer, K. R. (1996). Rey complex figure test and recognition trial: Professional manual. (Par.).
   Google Scholar
• Rey A. Test de Copie et de Reproduction de Mémoire de Figures Géométriques Complexes. [Test of copy and Reproduction of Memory of Complex Geometric Figures]. Paris: Editions du centre de psychologie appliquée; 1959.
   Google Scholar
• Bishop DVM, Aamodt-Leeper G, Creswell C, McGurk R, Skuse DH. Individual differences in cognitive planning on the Tower of Hanoi Task: neuropsychological maturity or measurement error? J Child Psychol Psychiatry. 2001;42:551–556. doi:10.1017/S002196300100724711383971
   PubMed Web of Science ®Google Scholar
• Terriot K, Mezza J. WAIS IV: proposition d’une méthodologie d’interprétation. [WAIS IV: proposal for an interpretation methodology]. L’orientation scolaire et professionnelle. 2014;(43/2). doi:10.4000/osp.4379
   Google Scholar
• Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A, Wager T. The unity and diversity of executive functions and their contributions to complex “Frontal lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41:49–100. doi:10.1006/cogp.1999.073410945922
   PubMed Web of Science ®Google Scholar
• Schulz K, Fan J, Magidina O, Marks D, Hahn B, Halperin J. Does the emotional go/no-go task really measure behavioral inhibition? Convergence with measures on a non-emotional analog. Arch Clin Neuropsychol. 2007;22(2):151–160. doi:10.1016/j.acn.2006.12.00117207962
   PubMed Web of Science ®Google Scholar
• 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.003090922479305
   PubMed Web of Science ®Google Scholar
• Dougherty DM, Marsh-Richard DM, Hatzis ES, Nouvion SO, Mathias CW. A test of alcohol dose effects on multiple behavioral measures of impulsivity. Drug Alcohol Depend. 2008;96:18. doi:10.1016/j.drugalcdep.2008.02.002
   Web of Science ®Google Scholar
• Bertoux M, Delavest M, de Souza LC, et al. Social cognition and emotional assessment differentiates frontotemporal dementia from depression. J Neurol Neurosurg Psychiatry. 2012;83(4):411–416. doi:10.1136/jnnp-2011-30184922291219
   PubMed Web of Science ®Google Scholar
• Lorains FK, Stout JC, Bradshaw JL, Dowling NA, Enticott PG. Self-reported impulsivity and inhibitory control in problem gamblers. J Clin Exp Neuropsychol. 2014;36(2):144–157. doi:10.1080/13803395.2013.87377324479640
   PubMed Web of Science ®Google Scholar
• Petry NM, Zajac K, Ginley MK. Behavioral addictions as mental disorders: to be or not to be? Annu Rev Clin Psychol. 2018;14:399–423. doi:10.1146/annurev-clinpsy-032816-04512029734827
   PubMed Web of Science ®Google Scholar
• Karim R, Chaudhri P. Behavioral addictions: an overview. J Psychoactive Drugs. 2012;44:5–17. doi:10.1080/02791072.2012.66285922641961
   PubMed Web of Science ®Google Scholar
• Albein-Urios N, Martinez-González JM, Lozano Ó, Clark L, Verdejo-García A. Comparison of impulsivity and working memory in cocaine addiction and pathological gambling: implications for cocaine-induced neurotoxicity. Drug Alcohol Depend. 2012;126:1–6. doi:10.1016/j.drugalcdep.2012.03.00822475814
   PubMed Web of Science ®Google Scholar
• Di Nicola M, Tedeschi D, De Risio L, et al. Co-occurrence of alcohol use disorder and behavioral addictions: relevance of impulsivity and craving. Drug Alcohol Depend. 2015;148:118–125. doi:10.1016/j.drugalcdep.2014.12.02825630963
   PubMed Web of Science ®Google Scholar
• Marazziti D, Presta S, Baroni S, Silvestri S, Dell’Osso L. Behavioral addictions: a novel challenge for psychopharmacology. CNS Spectr. 2014;19(6):486–495. doi:10.1017/S109285291300104124589040
   PubMed Web of Science ®Google Scholar
• Olsen CM. Natural rewards, neuroplasticity, and non-drug addictions. Neuropharmacology. 2011;61:1109–1122. doi:10.1016/j.neuropharm.2011.03.01021459101
   PubMed Web of Science ®Google Scholar
• Aboujaoude E, Salame WO. Naltrexone: a pan-addiction treatment? CNS Drugs. 2016;30(8):719–733. doi:10.1007/s40263-016-0373-027401883
   PubMed Web of Science ®Google Scholar
• Mouaffak F, Leite C, Hamzaoui S, Benyamina A, Laqueille X, Kebir O. Naltrexone in the treatment of broadly defined behavioral addictions: a review and Meta-Analysis of Randomized Controlled Trials. EAR. 2017;23:204–210. doi:10.1159/000480539
   Web of Science ®Google Scholar
• Kraus SW, Etuk R, Potenza MN. Current pharmacotherapy for gambling disorder: a systematic review. Expert Opin Pharmacother. 2020;21(3):287–296. doi:10.1080/14656566.2019.170296931928246
   PubMed Web of Science ®Google Scholar
• Rass O, Schacht RL, Buckheit K, Johnson MW, Strain EC, Mintzer MZ. A randomized controlled trial of the effects of working memory training in methadone maintenance patients. Drug Alcohol Depend. 2015;156:38–46. doi:10.1016/j.drugalcdep.2015.08.01226404954
   PubMed Web of Science ®Google Scholar
• Bell MD, Vissicchio NA, Weinstein AJ. Cognitive training and work therapy for the treatment of verbal learning and memory deficits in veterans with alcohol use disorders. J Dual Diagn. 2016;12(1):83–89. doi:10.1080/15504263.2016.114577926828571
   PubMed Web of Science ®Google Scholar
• Gladwin TE, Wiers CE, Wiers W. Cognitive neuroscience of cognitive retraining for addiction medicine: from mediating mechanisms to questions of efficacy. Prog Brain Res. 2016;224:323–344. doi:10.1016/bs.pbr.2015.07.02126822365
   PubMed Web of Science ®Google Scholar
• Manning V, Verdejo-Garcia A, Lubman DI. Neurocognitive impairment in addiction and opportunities for intervention. Curr Opin Behav Sci. 2017;13:40–45. doi:10.1016/j.cobeha.2016.10.003
   Web of Science ®Google Scholar
• Luquiens A, Miranda R, Benyamina A, Carré A, Aubin H-J. Cognitive training: a new avenue in gambling disorder management? Neurosci Biobehav Rev. 2019;106:227–233. doi:10.1016/j.neubiorev.2018.10.01130359663
   PubMed Web of Science ®Google Scholar
• Rabinovitz S, Nagar M. Possible end to an endless quest? Cognitive bias modification for excessive multiplayer online gamers. Cyberpsychol Behav Soc Netw. 2015;18(10):581–587. doi:10.1089/cyber.2015.017326383549
   PubMed Web of Science ®Google Scholar
• Stevens L, Verdejo-García A, Goudriaan AE, Roeyers H, Dom G, Vanderplasschen W. Impulsivity as a vulnerability factor for poor addiction treatment outcomes: a review of neurocognitive findings among individuals with substance use disorders. J Subst Abuse Treat. 2014;47(1):58–72. doi:10.1016/j.jsat.2014.01.00824629886
   PubMed Web of Science ®Google Scholar
• Lim J-A, Lee J-Y, Jung HY, et al. Changes of quality of life and cognitive function in individuals with Internet gaming disorder: a 6-month follow-up. Medicine (Baltimore). 2016;95(50):e5695. doi:10.1097/MD.000000000000569527977620
   PubMed Web of Science ®Google Scholar
• Hudson A, Olatunji BO, Gough K, Yi S, Stewart SH. Eye on the Prize: High-Risk Gamblers Show Sustained Selective Attention to Gambling Cues. J Gambl Issues. 2016;34: 20. doi:10.4309/jgi.2016.34.6
   Google Scholar
• Tan JW, Walter S, Scheck A, et al. Repeatability of facial electromyography (EMG) activity over corrugator supercilii and zygomaticus major on differentiat- ing various emotions J Ambient Intell Human Comput. 2011;9: 243–260. doi:10.1007/s12652-011-0084-9
   Google Scholar
• Robbins S, Ehrman R. The role of attentional bias in substance abuse. Behav Cogn Neurosci Rev. 2005;3: 243–260. doi:10.1177/1534582305275423
   Google Scholar
• Dresler T, Mériau K, Heekeren HR, van der Meer E. Emotional Stroop task: effect of word arousal and subject anxiety on emotional interference Psychol Res. 2009;73: 364–371. doi:10.1007/s00426-008-0154-6
   Google Scholar
• Brown MRG, Benoit JRA, Juhás M, et al. Neural correlates of high-risk behavior tendencies and impulsivity in an emotional Go/NoGo fMRI task. Front Syst Neurosci. 2015;9:(24). doi:10.3389/fnsys.2015.00024
   Google Scholar