Abstract
Decision-making impairments play a pivotal role in the emergence and maintenance of addictive disorders. However, a sound conceptualization of decision making as an umbrella construct, encompassing its cognitive, affective, motivational, and physiological subcomponents, is still lacking. This prevents an efficient evaluation of the heterogeneity of decision-making impairments and the development of tailored treatment. This paper thus unfolds the various processes involved in decision making by adopting a critical approach of prominent dual- or triadic-process models, which postulate that decision making is influenced by the interplay of impulsive-automatic, reflective-controlled, and interoceptive processes. Our approach also focuses on social cognition processes, which play a crucial role in decision making and addictive disorders but were largely ignored in previous dual- or triadic-process models. We propose here a theoretical framework in which a range of coordinated processes are first identified on the basis of their theoretical and clinical relevance. Each selected process is then defined before reviewing available results underlining its role in addictive disorders (i.e., substance use, gambling, and gaming disorders). Laboratory tasks for measuring each process are also proposed, initiating a preliminary process-based decision-making assessment battery. This original approach may offer an especially informative view of the constitutive features of decision-making impairments in addiction. As prior research has implicated these features as risk factors for the development and maintenance of addictive disorders, our processual approach sets the scene for novel and transdiagnostic experimental and applied research avenues.
Similar content being viewed by others
References
Aarts, H., Dijksterhuis, A., & De Vries, P. (2001). On the psychology of drinking: Being thirsty and perceptually ready. British Journal of Psychology, 92(4), 631–642. https://doi.org/10.1348/000712601162383.
Addis, D. R., Wong, A. T., & Schacter, D. L. (2007). Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration. Neuropsychologia, 45(7), 1363–1377. https://doi.org/10.1016/j.neuropsychologia.2006.10.016.
Addis, D. R., Wong, A. T., & Schacter, D. L. (2008). Age-related changes in the episodic simulation of future events. Psychological Science, 19(1), 33–41. https://doi.org/10.1111/j.1467-9280.2008.02043.x.
Adolfi, F., Couto, B., Richter, F., Decety, J., Lopez, J., Sigman, M., et al. (2017). Convergence of interoception, emotion, and social cognition: A twofold fMRI meta-analysis and lesion approach. Cortex, 88, 124–142. https://doi.org/10.1016/j.cortex.2016.12.019.
Álvarez-Moya, E. M., Ochoa, C., Jiménez-Murcia, S., Aymamí, M. N., Gómez-Peña, M., Fernández-Aranda, F., & Menchón, J. M. (2011). Effect of executive functioning, decision-making and self-reported impulsivity on the treatment outcome of pathologic gambling. Journal of Psychiatry & Neuroscience, 36(3), 165–175. https://doi.org/10.1503/jpn.090095.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington: American Psychiatric Publishing.
Ames, S. L., Grenard, J. L., Thush, C., Sussman, S., Wiers, R. W., & Stacy, A. W. (2007). Comparison of indirect assessments of association as predictors of marijuana use among at-risk adolescents. Experimental and Clinical Psychopharmacology, 15(2), 204–218. https://doi.org/10.1037/1064-1297.15.2.218.
Anderson, B. A. (2016). What is abnormal about addiction-related attentional biases? Drug and Alcohol Dependence, 167, 8–14. https://doi.org/10.1016/j.drugalcdep.2016.08.002.
Apperly, I. A., Samson, D., Chiavarino, C., & Humphreys, G. W. (2004). Frontal and temporo-parietal lobe contributions to theory of mind: Neuropsychological evidence from a false-belief task with reduced language and executive demands. Journal of Cognitive Neuroscience, 16(10), 1773–1784. https://doi.org/10.1162/0898929042947928.
Ashenhurst, J. R., Jentsch, J. D., & Ray, L. A. (2011). Risk-taking and alcohol use disorders symptomatology in a sample of problem drinkers. Experimental and Clinical Psychopharmacology, 19(5), 361–370. https://doi.org/10.1037/a0024412.
Ates Cöl, I., Sönmez, M. B., & Vardar, M. E. (2016). Evaluation of interoceptive awareness in alcohol-addicted patients. Archives of Neuropsychiatry, 53(1), 17–22. https://doi.org/10.5152/npa.2015.9898.
Baddeley, A. D. (1986). Working memory. Oxford: Oxford University Press.
Barkby, H., Dickson, J. M., Roper, L., & Field, M. (2012). To approach or avoid alcohol? Automatic and self-reported motivational tendencies in alcohol dependence. Alcoholism: Clinical and Experimental Research, 36(2), 361–368. https://doi.org/10.1111/j.1530-0277.2011.01620.x.
Barrett, L. F., Quigley, K. S., Bliss-Moreau, E., & Aronson, K. R. (2004). Interoceptive sensitivity and self-reports of emotional experience. Journal of Personality and Social Psychology, 87(5), 684–697. https://doi.org/10.1037/0022-3514.87.5.684.
Bayrakçı, A., Sert, E., Zorlu, N., Erol, A., Sarıçiçek, A., & Mete, L. (2015). Facial emotion recognition deficits in abstinent cannabis dependent patients. Comprehensive Psychiatry, 58, 160–164. https://doi.org/10.1016/j.comppsych.2014.11.008.
Bechara, A. (2005). Decision making, impulse control and loss of willpower to resist drugs: A neurocognitive perspective. Nature Neuroscience, 8(11), 1458–1463. https://doi.org/10.1038/nn1584.
Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50(1–3), 7–15. https://doi.org/10.1016/0010-0277(94)90018-3.
Bechara, A., Dolan, S., Denburg, N., Hindes, A., Anderson, S. W., & Nathan, P. E. (2001). Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia, 39(4), 376–389. https://doi.org/10.1016/S0028-3932(00)00136-6.
Beraha, E. M., Cousijn, J., Hermanides, E., Goudriaan, A. E., & Wiers, R. W. (2013). Implicit associations and explicit expectancies toward cannabis in heavy cannabis users and controls. Frontiers in Psychiatry, 4, 59. https://doi.org/10.3389/fpsyt.2013.00059.
Beveridge, A., & Shan, J. (2016). Network of thrones. Math Horizons, 23(4), 14–15. https://doi.org/10.4169/mathhorizons.23.4.18.
Bickel, W. K., Koffarnus, M. N., Moody, L., & Wilson, A. G. (2014). The behavioral- and neuro-economic process of temporal discounting: A candidate behavioral marker of addiction. Neuropharmacology, 76(Pt B), 518–527. https://doi.org/10.1016/j.neuropharm.2013.06.013.
Bickel, W. K., Kowal, B. P., & Gatchalian, K. M. (2006). Understanding addiction as a pathology of temporal horizon. The Behavior Analyst Today, 7(1), 32–47. https://doi.org/10.1037/h0100148.
Bickel, W. K., Mellis, A. M., Snider, S. E., Athamneh, L. N., Stein, J. S., & Pope, D. A. (2018). 21st century neurobehavioral theories of decision making in addiction: Review and evaluation. Pharmacology, Biochemistry, and Behavior, 164, 4–21. https://doi.org/10.1016/j.pbb.2017.09.009.
Biernacki, K., McLennan, S. N., Terrett, G., Labuschagne, I., & Rendell, P. G. (2016). Decision-making ability in current and past users of opiates: A meta-analysis. Neuroscience & Biobehavioral Reviews, 71, 342–351. https://doi.org/10.1016/j.neubiorev.2016.09.011.
Billieux, J., Gay, P., Rochat, L., Khazaal, Y., Zullino, D., & Van der Linden, M. (2010a). Lack of inhibitory control predicts cigarette smoking dependence: Evidence from a non-deprived sample of light to moderate smokers. Drug & Alcohol Dependence, 112(1), 164–167. https://doi.org/10.1016/j.drugalcdep.2010.06.006.
Billieux, J., Gay, P., Rochat, L., & Van der Linden, M. (2010b). The role of urgency and its underlying psychological mechanisms in problematic behaviours. Behaviour Research and Therapy, 48(11), 1085–1096. https://doi.org/10.1016/j.brat.2010.07.008.
Billieux, J., Lagrange, G., Van der Linden, M., Lançon, C., Adida, M., & Jeanningros, R. (2012). Investigation of impulsivity in a sample of treatment-seeking pathological gamblers: A multidimensional perspective. Psychiatry Research, 198(2), 291–296. https://doi.org/10.1016/j.psychres.2012.01.001.
Billieux, J., Philippot, P., Schmid, C., Maurage, P., De Mol, J., & Van der Linden, M. (2015). Is dysfunctional use of the mobile phone a behavioural addiction? Confronting symptom-based versus process-based approaches. Clinical Psychology & Psychotherapy, 22(5), 460–468. https://doi.org/10.1002/cpp.1910.
Blum, K., Sheridan, P. J., Wood, R. C., Braverman, E. R., Chen, T. J., Cull, J. G., & Comings, D. E. (1996). The D2 dopamine receptor gene as a determinant of reward deficiency syndrome. Journal of the Royal Society of Medicine, 89(7), 396–400. https://doi.org/10.1177/014107689608900711.
Boffo, M., Smits, R., Salmon, J. P., Cowie, M. E., de Jong, D. T. H. A., Salemink, E., et al. (2018). Luck, come here! Automatic approach tendencies toward gambling cues in moderate- to high-risk gamblers. Addiction, 113(2), 289–298. https://doi.org/10.1111/add.14071.
Boog, M., Höppener, P., Wetering, V. D. B. J., Goudriaan, A. E., Boog, M. C., & Franken, I. H. A. (2014). Cognitive inflexibility in gamblers is primarily present in reward-related decision making. Frontiers in Human Neuroscience, 8, 569. https://doi.org/10.3389/fnhum.2014.00569.
Bora, E., & Zorlu, N. (2017). Social cognition in alcohol use disorder: A meta-analysis. Addiction, 112(1), 40–48. https://doi.org/10.1111/add.13486.
Bornovalova, M. A., Daughters, S. B., Hernandez, G. D., Richards, J. B., & Lejuez, C. W. (2005). Differences in impulsivity and risk-taking propensity between primary users of crack cocaine and primary users of heroin in a residential substance-use program. Experimental and Clinical Psychopharmacology, 13(4), 311–318. https://doi.org/10.1037/1064-1297.13.4.311.
Bosco, F. M., Capozzi, F., Colle, L., Marostica, P., & Tirassa, M. (2014). Theory of mind deficit in subjects with alcohol use disorder: An analysis of mindreading processes. Alcohol and Alcoholism, 49(3), 299–307. https://doi.org/10.1093/alcalc/agt148.
Bowden-Jones, H., McPhillips, M., Rogers, R., Hutton, S., & Joyce, E. (2005). Risk-taking on tests sensitive to ventromedial prefrontal cortex dysfunction predicts early relapse in alcohol dependency: A pilot study. Journal of Neuropsychiatry and Clinical Neuroscience, 17(3), 417–420. https://doi.org/10.1176/jnp.17.3.417.
Boyer, P. (2008). Evolutionary economics of mental time travel? Trends in Cognitive Sciences, 12(6), 219–224. https://doi.org/10.1016/j.tics.2008.03.003.
Brand, M., Fujiwara, E., Borsutzky, S., Kalbe, E., Kessler, J., & Markowitsch, H. J. (2005). Decision-making deficits of Korsakoff patients in a new gambling task with explicit rules: Associations with executive functions. Neuropsychology, 19(3), 267–277. https://doi.org/10.1037/0894-4105.19.3.267.
Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). 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. Neuroscience & Biobehavioral Reviews, 71, 252–266. https://doi.org/10.1016/j.neubiorev.2016.08.033.
Brevers, D., Bechara, A., Cleeremans, A., & Noel, X. (2013a). Iowa gambling task (IGT): Twenty years after – Gambling disorder and IGT. Frontiers in Psychology, 4. https://doi.org/10.3389/fpsyg.2013.00665.
Brevers, D., Cleeremans, A., Bechara, A., Greisen, M., Kornreich, C., Verbanck, P., & Noël, X. (2013b). Impaired self-awareness in pathological gamblers. Journal of Gambling Studies, 29(1), 119–129. https://doi.org/10.1007/s10899-012-9292-2.
Brevers, D., Cleeremans, A., Bechara, A., Greisen, M., Kornreich, C., Verbanck, P., & Noël, X. (2014). Impaired metacognitive capacities in individuals with problem gambling. Journal of Gambling Studies, 30(1), 141–152. https://doi.org/10.1007/s10899-012-9348-3.
Brevers, D., Cleeremans, A., Hermant, C., Tibboel, H., Kornreich, C., Verbanck, P., & Noël, X. (2013c). Implicit gambling attitudes in problem gamblers: Positive but not negative implicit associations. Journal of Behavior Therapy and Experimental Psychiatry, 44(1), 94–97. https://doi.org/10.1016/j.jbtep.2012.07.008.
Brevers, D., & Noël, X. (2013). Pathological gambling and the loss of willpower: A neurocognitive perspective. Socioaffective Neuroscience & Psychology, 3, 21592. https://doi.org/10.3402/snp.v3i0.21592.
Campbell, J. A., Samartgis, J. R., & Crowe, S. F. (2013). Impaired decision making on the balloon analogue risk task as a result of long-term alcohol use. Journal of Clinical and Experimental Neuropsychology, 35(10), 1071–1081. https://doi.org/10.1080/13803395.2013.856382.
Carim-Todd, L., Mitchell, S. H., & Oken, B. S. (2016). Impulsivity and stress response in nondependent smokers (tobacco chippers) in comparison to heavy smokers and nonsmokers. Nicotine & Tobacco Research, 18(5), 547–556. https://doi.org/10.1093/ntr/ntv210.
Carpenter, K. M., Schreiber, E., Church, S., & McDowell, D. (2006). Drug Stroop performance: Relationships with primary substance of use and treatment outcome in a drug-dependent outpatient sample. Addictive Behaviors, 31(1), 174–181. https://doi.org/10.1016/j.addbeh.2005.04.012.
Castellano, F., Bartoli, F., Crocamo, C., Gamba, G., Tremolada, M., Santambrogio, J., et al. (2015). Facial emotion recognition in alcohol and substance use disorders: A meta-analysis. Neuroscience & Biobehavioral Reviews, 59, 147–154. https://doi.org/10.1016/j.neubiorev.2015.11.001.
Chanon, V. W., Sours, C. R., & Boettiger, C. A. (2010). Attentional bias toward cigarette cues in active smokers. Psychopharmacology, 212(3), 309–320. https://doi.org/10.1007/s00213-010-1953-1.
Charlet, K., Beck, A., Jorde, A., Wimmer, L., Vollstädt-Klein, S., Gallinat, J., et al. (2014). Increased neural activity during high working memory load predicts low relapse risk in alcohol dependence. Addiction Biology, 19(3), 402–414. https://doi.org/10.1111/adb.12103.
Chassin, L., Presson, C. C., Sherman, S. J., Seo, D.-C., & Macy, J. T. (2010). Implicit and explicit attitudes predict smoking cessation: Moderating effects of experienced failure to control smoking and plans to quit. Psychology of Addictive Behaviors, 24(4), 670–679. https://doi.org/10.1037/a0021722.
Chen, H., Jiang, H., Guo, Q., Du, J., Wang, J., & Zhao, M. (2013). Case-control study of error-related negativity among males with heroin dependence undergoing rehabilitation. Shanghai Archives of Psychiatry, 25(3), 141–148. https://doi.org/10.3969/j.issn.1002-0829.2013.03.003.
Chiu, P. H., Lohrenz, T. M., & Montague, P. R. (2008). Smokers’ brains compute, but ignore, a fictive error signal in a sequential investment task. Nature Neuroscience, 11(4), 514–520. https://doi.org/10.1038/nn2067.
Choi, S.-W., Kim, H., Kim, G.-Y., Jeon, Y., Park, S., Lee, J.-Y., et al. (2014). Similarities and differences among internet gaming disorder, gambling disorder and alcohol use disorder: A focus on impulsivity and compulsivity. Journal of Behavioral Addictions, 3(4), 246–253. https://doi.org/10.1556/JBA.3.2014.4.6.
Christiansen, P., Schoenmakers, T. M., & Field, M. (2015). Less than meets the eye: Reappraising the clinical relevance of attentional bias in addiction. Addictive Behaviors, 44, 43–50. https://doi.org/10.1016/j.addbeh.2014.10.005.
Clark, L., Robbins, T. W., Ersche, K. D., & Sahakian, B. J. (2006). Reflection impulsivity in current and former substance users. Biological Psychiatry, 60(5), 515–522. https://doi.org/10.1016/j.biopsych.2005.11.007.
Cohen, K., Kapitány-Fövény, M., Mama, Y., Arieli, M., Rosca, P., Demetrovics, Z., & Weinstein, A. (2017). The effects of synthetic cannabinoids on executive function. Psychopharmacology, 234(7), 1121–1134. https://doi.org/10.1007/s00213-017-4546-4.
Colzato, L. S., van den Wildenberg, W. P., & Hommel, B. (2007). Impaired inhibitory control in recreational cocaine users. PLoS One, 2(11), e1143. https://doi.org/10.1371/journal.pone.0001143.
Contero, M., Carmen, M., Secades Vila, R., & Tirapu Ustárroz, J. (2012). Cognición social en adictos a opiáceos. Revista de Neurologia, 55, 705–712.
Conway, M. A. (2009). Autobiographical memory and consciousness. In W. P. Banks (Ed.), Encyclopedia of consciousness (pp. 77–82). Oxford: Academic.
Cools, R., Clark, L., Owen, A. M., & Robbins, T. W. (2002). Defining the neural mechanisms of probabilistic reversal learning using event-related functional magnetic resonance imaging. Journal of Neuroscience, 22(11), 4563–4567. https://doi.org/10.1523/JNEUROSCI.22-11-04563.2002.
Cosenza, M., Griffiths, M. D., Nigro, G., & Ciccarelli, M. (2017). Risk-taking, delay discounting, and time perspective in adolescent gamblers: An experimental study. Journal of Gambling Studies, 33(2), 383–395. https://doi.org/10.1007/s10899-016-9623-9.
Cousijn, J., Goudriaan, A. E., & Wiers, R. W. (2011). Reaching out towards cannabis: Approach-bias in heavy cannabis users predicts changes in cannabis use. Addiction, 106(9), 1667–1674. https://doi.org/10.1111/j.1360-0443.2011.03475.x.
Cox, W. M., Hogan, L. M., Kristian, M. R., & Race, J. H. (2002). Alcohol attentional bias as a predictor of alcohol abusers’ treatment outcome. Drug and Alcohol Dependence, 68(3), 237–243. https://doi.org/10.1016/S0376-8716(02)00219-3.
Critchley, H. D., Wiens, S., Rotshtein, P., Öhman, A., & Dolan, R. J. (2004). Neural systems supporting interoceptive awareness. Nature Neuroscience, 7(2), 189–195. https://doi.org/10.1038/nn1176.
Cuervo-Lombard, C., Raucher-Chéné, D., Barrière, S., Van der Linden, M., & Kaladjian, A. (2016). Self-defining memories in recently detoxified alcohol-dependent patients. Psychiatry Research, 246, 533–538. https://doi.org/10.1016/j.psychres.2016.09.040.
Cui, J.-F., Wang, Y., Shi, H.-S., Liu, L.-L., Chen, X.-J., & Chen, Y.-H. (2015). Effects of working memory load on uncertain decision-making: Evidence from the Iowa gambling task. Frontiers in Psychology, 6, 162. https://doi.org/10.3389/fpsyg.2015.00162.
Czapla, M., Simon, J. J., Richter, B., Kluge, M., Friederich, H.-C., Herpertz, S., et al. (2016). The impact of cognitive impairment and impulsivity on relapse of alcohol-dependent patients: Implications for psychotherapeutic treatment. Addiction Biology, 21(4), 873–884. https://doi.org/10.1111/adb.12229.
Damasio, A. R. (1996). The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 351(1346), 1413–1420. https://doi.org/10.1098/rstb.1996.0125.
D’Argembeau, A., Ortoleva, C., Jumentier, S., & Van der Linden, M. (2010). Component processes underlying future thinking. Memory & Cognition, 38(6), 809–819. https://doi.org/10.3758/MC.38.6.809.
D’Argembeau, A., & Van der Linden, M. (2006). Individual differences in the phenomenology of mental time travel: The effect of vivid visual imagery and emotion regulation strategies. Consciousness and Cognition, 15(2), 342–350. https://doi.org/10.1016/j.concog.2005.09.001.
De Houwer, J. (2006). What are implicit measures and why are we using them. In R. W. Wiers & A. W. Stacy (Eds.), The handbook of implicit cognition and addiction (p. 11–28). Thousand Oaks: Sage Publishers.
De Houwer, J., de Teige-Mocigemba, S., Spruyt, A., & Moors, A. (2009). Implicit measures: A normative analysis and review. Psychological Bulletin, 135(3), 347–368. https://doi.org/10.3389/fpsyg.2018.00777.
de Ruiter, M. B., Oosterlaan, J., Veltman, D. J., van den Brink, W., & Goudriaan, A. E. (2012). Similar hyporesponsiveness of the dorsomedial prefrontal cortex in problem gamblers and heavy smokers during an inhibitory control task. Drug & Alcohol Dependence, 121(1), 81–89. https://doi.org/10.1016/j.drugalcdep.2011.08.010.
de Ruiter, M. B., Veltman, D. J., Goudriaan, A. E., Oosterlaan, J., Sjoerds, Z., & van den Brink, W. (2009). Response perseveration and ventral prefrontal sensitivity to reward and punishment in male problem gamblers and smokers. Neuropsychopharmacology, 34(4), 1027–1038. https://doi.org/10.1038/npp.2008.175.
Desfosses, M., Meadows, H., Jackson, M., & Crowe, S. F. (2014). The relationship between neuropsychological functioning and mental health outcomes of chronic alcohol users involved in counselling: Prediction of treatment outcome. Australian Psychologist, 49(5), 287–296. https://doi.org/10.1111/ap.12071.
Diamond, A. (2013). Executive functions. Annual Review of Psychology, 64(1), 135–168. https://doi.org/10.1146/annurev-psych-113011-143750.
Domínguez-Salas, S., Díaz-Batanero, C., Lozano-Rojas, O. M., & Verdejo-García, A. (2016). Impact of general cognition and executive function deficits on addiction treatment outcomes: Systematic review and discussion of neurocognitive pathways. Neuroscience & Biobehavioral Reviews, 71, 772–801. https://doi.org/10.1016/j.neubiorev.2016.09.030.
Donadon, M. F., & Osório, F. L. (2014). Recognition of facial expressions by alcoholic patients: A systematic literature review. Neuropsychiatric Disease and Treatment, 10, 1655–1663. https://doi.org/10.2147/NDT.S65376.
Dong, G., & Potenza, M. N. (2014). A cognitive-behavioral model of internet gaming disorder: Theoretical underpinnings and clinical implications. Journal of Psychiatric Research, 58, 7–11. https://doi.org/10.1016/j.jpsychires.2014.07.005.
Drusch, K., Lowe, A., Fisahn, K., Brinkmeyer, J., Musso, F., Mobascher, A., et al. (2013). Effects of nicotine on social cognition, social competence and self-reported stress in schizophrenia patients and healthy controls. European Archives of Psychiatry and Clinical Neuroscience, 263(6), 519–527. https://doi.org/10.1007/s00406-012-0377-9.
Dudley, R., Kuyken, W., & Padesky, C. A. (2011). Disorder specific and trans-diagnostic case conceptualisation. Clinical Psychology Review, 31(2), 213–224. https://doi.org/10.1016/j.cpr.2010.07.005.
Dunn, B. D., Galton, H. C., Morgan, R., Evans, D., Oliver, C., Meyer, M., et al. (2010). Listening to your heart: How interoception shapes emotion experience and intuitive decision making. Psychological Science, 21(12), 1835–1844. https://doi.org/10.1177/0956797610389191.
Dziobek, I., Fleck, S., Kalbe, E., Rogers, K., Hassenstab, J., Brand, M., et al. (2006). Introducing MASC: A movie for the assessment of social cognition. Journal of Autism and Developmental Disorders, 36(5), 623–636. https://doi.org/10.1007/s10803-006-0107-0.
Epskamp, S., van Borkulo, C. D., van der Veen, D. C., Servaas, M. N., Isvoranu, A.-M., Riese, H., & Cramer, A. O. J. (2018). Personalized network modeling in psychopathology: The importance of contemporaneous and temporal connections. Clinical Psychological Science, 6(3), 416–427. https://doi.org/10.1177/2167702617744325.
Epstein, S. (1994). Integration of the cognitive and psychodynamic unconscious. American Psychologist, 49, 709–744.
Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16(1), 143–149. https://doi.org/10.3758/BF03203267.
Ernst, M., Luckenbaugh, D. A., Moolchan, E. T., Temple, V. A., Jenness, J., Korelitz, K. E., et al. (2010). Decision-making and facial emotion recognition as predictors of substance-use initiation among adolescents. Addictive Behaviors, 35(3), 286–289. https://doi.org/10.1016/j.addbeh.2009.10.014.
Ersche, K. D., Hagan, C. C., Smith, D. G., Jones, P. S., Calder, A. J., & Williams, G. B. (2015). In the face of threat: Neural and endocrine correlates of impaired facial emotion recognition in cocaine dependence. Translational Psychiatry, 5(5), e570. https://doi.org/10.1038/tp.2015.58.
Evans, J. S. B. T. (2003). In two minds: Dual-process accounts of reasoning. Trends in Cognitive Sciences, 7(10), 454–459. https://doi.org/10.1016/j.tics.2003.08.012.
Evans, J. S. B. T., & Coventry, K. (2006). A dual-process approach to behavioral addiction: The case of gambling. In R. W. Wiers & A. W. Stacy (Eds.), Handbook of implicit cognition and addiction (pp. 29–44). Thousand Oaks: SAGE Publications, Inc..
Fadardi, J. S., & Cox, W. M. (2009). Reversing the sequence: Reducing alcohol consumption by overcoming alcohol attentional bias. Drug and Alcohol Dependence, 101(3), 137–145. https://doi.org/10.1016/j.drugalcdep.2008.11.015.
Fattore, L., & Diana, M. (2016). Drug addiction: An affective-cognitive disorder in need of a cure. Neuroscience & Biobehavioral Reviews, 65, 341–361. https://doi.org/10.1016/j.neubiorev.2016.04.006.
Fernández-Serrano, M. J., Lozano, Ó., Pérez-García, M., & Verdejo-García, A. (2010). Impact of severity of drug use on discrete emotions recognition in polysubstance abusers. Drug and Alcohol Dependence, 109(1), 57–64. https://doi.org/10.1016/j.drugalcdep.2009.12.007.
Fernie, G., Cole, J. C., Goudie, A. J., & Field, M. (2010). Risk-taking but not response inhibition or delay discounting predict alcohol consumption in social drinkers. Drug & Alcohol Dependence, 112(1), 54–61. https://doi.org/10.1016/j.drugalcdep.2010.05.011.
Field, M., Di Lemma, L., Christiansen, P., & Dickson, J. (2017). Automatic avoidance tendencies for alcohol cues predict drinking after detoxification treatment in alcohol dependence. Psychology of Addictive Behaviors, 31(2), 171–179. https://doi.org/10.1037/adb0000232.
Field, M., & Duka, T. (2002). Cues paired with a low dose of alcohol acquire conditioned incentive properties in social drinkers. Psychopharmacology, 159(3), 325–334. https://doi.org/10.1007/s00213-001-0923-z.
Field, M., Duka, T., Tyler, E., & Schoenmakers, T. (2009). Attentional bias modification in tobacco smokers. Nicotine & Tobacco Research, 11(7), 812–822. https://doi.org/10.1093/ntr/ntp067.
Field, M., Eastwood, B., Bradley, B. P., & Mogg, K. (2006). Selective processing of cannabis cues in regular cannabis users. Drug and Alcohol Dependence, 85(1), 75–82. https://doi.org/10.1016/j.drugalcdep.2006.03.018.
Field, M., Kiernan, A., Eastwood, B., & Child, R. (2008). Rapid approach responses to alcohol cues in heavy drinkers. Journal of Behavior Therapy and Experimental Psychiatry, 39(3), 209–218. https://doi.org/10.1016/j.jbtep.2007.06.001.
Field, M., Mogg, K., Zetteler, J., & Bradley, B. P. (2004). Attentional biases for alcohol cues in heavy and light social drinkers: The roles of initial orienting and maintained attention. Psychopharmacology, 176(1), 88–93. https://doi.org/10.1007/s00213-004-1855-1.
Field, M., Werthmann, J., Franken, I., Hofmann, W., Hogarth, L., & Roefs, A. (2016). The role of attentional bias in obesity and addiction. Health Psychology, 35(8), 767–780. https://doi.org/10.1037/hea0000405.
Figner, B., Mackinlay, R., Wilkening, F., & Weber, E. U. (2009). Affective and deliberative processes in risky choice: Age differences in risk taking in the Columbia card task. Journal of Experimental Psychology: Learning, Memory, and Cognition, 35(3), 709–730. https://doi.org/10.1037/a0014983.
Fillmore, M. T., & Rush, C. R. (2002). Impaired inhibitory control of behavior in chronic cocaine users. Drug & Alcohol Dependence, 66(3), 265–273. https://doi.org/10.1016/S0376-8716(01)00206-X.
Fleming, K. A., & Bartholow, B. D. (2014). Alcohol cues, approach bias, and inhibitory control: Applying a dual process model of addiction to alcohol sensitivity. Psychology of Addictive Behaviors, 28(1), 85–96. https://doi.org/10.1037/a0031565.
Frank, M. J., Seeberger, L. C., & O’Reilly, R. C. (2004). By carrot or by stick: Cognitive reinforcement learning in parkinsonism. Science, 306, 1940–1943. https://doi.org/10.1126/science.1102941.
Friedman, N. P., & Miyake, A. (2004). The relations among inhibition and interference control functions: A latent-variable analysis. Journal of Experimental Psychology: General, 133(1), 101–135. https://doi.org/10.1037/0096-3445.133.1.101.
Friedman, N. P., & Miyake, A. (2017). Unity and diversity of executive functions: Individual differences as a window on cognitive structure. Cortex, 86, 186–204. https://doi.org/10.1016/j.cortex.2016.04.023.
Frith, C. D., & Singer, T. (2008). The role of social cognition in decision making. Philosophical Transactions of the Royal Society B: Biological Sciences, 363(1511), 3875–3886. https://doi.org/10.1098/rstb.2008.0156.
Garfinkel, S. N., Seth, A. K., Barrett, A. B., Suzuki, K., & Critchley, H. D. (2015). Knowing your own heart: Distinguishing interoceptive accuracy from interoceptive awareness. Biological Psychology, 104, 65–74. https://doi.org/10.1016/j.biopsycho.2014.11.004.
Gaudelus, B., Virgile, J., Peyroux, E., Leleu, A., Baudouin, J. Y., & Franck, N. (2015). Measuring impairment of facial affects recognition in schizophrenia. Preliminary study of the facial emotions recognition task (TREF). L’Encephale, 41(3), 251–259. https://doi.org/10.1016/j.encep.2014.08.013.
Gawronski, B., & Bodenhausen, G. V. (2006). Associative and propositional processes in evaluation: An integrative review of implicit and explicit attitude change. Psychological Bulletin, 132(5), 692–731. https://doi.org/10.1037/0033-2909.132.5.692.
Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4), 650–669 https://doi.org/10.1037/0033-295X.103.4.650.
Goldstein, R. Z., Craig, A. D., Bechara, A., Garavan, H., Childress, A. R., Paulus, M. P., & Volkow, N. D. (2009). The neurocircuitry of impaired insight in drug addiction. Trends in Cognitive Sciences, 13(9), 372–380. https://doi.org/10.1016/j.tics.2009.06.004.
Goldstein, R. Z., & Volkow, N. D. (2011). Dysfunction of the prefrontal cortex in addiction: Neuroimaging findings and clinical implications. Nature Reviews Neuroscience, 12(11), 652–669. https://doi.org/10.1038/nrn3119.
Gonzalez, R., Schuster, R. M., Mermelstein, R. J., Vassileva, J., Martin, E. M., & Diviak, K. R. (2012). Performance of young adult cannabis users on neurocognitive measures of impulsive behavior and their relationship to symptoms of cannabis use disorders. Journal of Clinical and Experimental Neuropsychology, 34(9), 962–976. https://doi.org/10.1080/13803395.2012.703642.
Goodie, A. S. (2005). The role of perceived control and overconfidence in pathological gambling. Journal of Gambling Studies, 21(4), 481–502. https://doi.org/10.1007/s10899-005-5559-1.
Gordon, A. J., & Zrull, M. (1991). Social networks and recovery: One year after inpatient treatment. Journal of Substance Abuse Treatment, 8(3), 143–152. https://doi.org/10.1016/0740-5472(91)90005-U.
Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & Van den Brink, W. (2004). Pathological gambling: A comprehensive review of biobehavioral findings. Neuroscience & Biobehavioral Reviews, 28(2), 123–141. https://doi.org/10.1016/j.neubiorev.2004.03.001.
Goudriaan, A. E., de Ruiter, M. B., van den Brink, W., Oosterlaan, J., & Veltman, D. J. (2010). Brain activation patterns associated with cue reactivity and craving in abstinent problem gamblers, heavy smokers and healthy controls: An fMRI study. Addiction Biology, 15(4), 491–503. https://doi.org/10.1111/j.1369-1600.2010.00242.x.
Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & van den Brink, W. (2005). Decision making in pathological gambling: A comparison between pathological gamblers, alcohol dependents, persons with Tourette syndrome, and normal controls. Cognitive Brain Research, 23(1), 137–151. https://doi.org/10.1016/j.cogbrainres.2005.01.017.
Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & van den Brink, W. (2006). Neurocognitive functions in pathological gambling: A comparison with alcohol dependence, Tourette syndrome and normal controls. Addiction, 101(4), 534–547. https://doi.org/10.1111/j.1360-0443.2006.01380.x.
Grant, J. E., Chamberlain, S. R., Schreiber, L. R. N., Odlaug, B. L., & Kim, S. W. (2011). Selective decision-making deficits in at-risk gamblers. Psychiatry Research, 189(1), 115–120. https://doi.org/10.1016/j.psychres.2011.05.034.
Green, M. F., Horan, W. P., & Lee, J. (2015). Social cognition in schizophrenia. Nature Reviews Neuroscience, 16(10), 620–631. https://doi.org/10.1038/nrn4005.
Green, M. F., Penn, D. L., Bentall, R., Carpenter, W. T., Gaebel, W., Gur, R. C., et al. (2008). Social cognition in schizophrenia: An NIMH workshop on definitions, assessment, and research opportunities. Schizophrenia Bulletin, 34(6), 1211–1220. https://doi.org/10.1093/schbul/sbm145.
Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. (1998). Measuring individual differences in implicit cognition: The implicit association test. Journal of Personality and Social Psychology, 74(6), 1464–1480 https://doi.org/10.1037/0022-3514.74.6.1464.
Harvey, A. G., Watkins, E., & Mansell, W. (2004). Cognitive behavioural processes across psychological disorders. New York: Oxford University Press.
Heeren, A., Bernstein, E. E., & McNally, R. J. (2018). Deconstructing trait anxiety: A network perspective. Anxiety, Stress, and Coping, 31(3), 262–276. https://doi.org/10.1080/10615806.2018.1439263.
Heeren, A., Billieux, J., Philippot, P., De Raedt, R., Baeken, C., de Timary, P., et al. (2017). Impact of transcranial direct current stimulation on attentional bias for threat: A proof-of-concept study among individuals with social anxiety disorder. Social Cognitive and Affective Neuroscience, 12(2), 251–260. https://doi.org/10.1093/scan/nsw119.
Heeren, A., De Raedt, R., Koster, E. H. W., & Philippot, P. (2013). The (neuro)cognitive mechanisms behind attention bias modification in anxiety: Proposals based on theoretical accounts of attentional bias. Frontiers in Human Neuroscience, 7, 119. https://doi.org/10.3389/fnhum.2013.00119.
Henry, J. D., Mazur, M., & Rendell, P. G. (2009). Social-cognitive difficulties in former users of methamphetamine. The British Journal of Clinical Psychology, 48(Pt 3), 323–327. https://doi.org/10.1348/000712609X435742.
Hirota, M., Holmgren, M., Van Nes, E. H., & Scheffer, M. (2011). Global resilience of tropical forest and savanna to critical transitions. Science, 334(6053), 232–235. https://doi.org/10.1126/science.1210657.
Hofmann, W., Friese, M., & Strack, F. (2009). Impulse and self-control from a dual-systems perspective. Perspectives on Psychological Science, 4(2), 162–176. https://doi.org/10.1111/j.1745-6924.2009.01116.x.
Hogarth, L., & Duka, T. (2006). Human nicotine conditioning requires explicit contingency knowledge: Is addictive behaviour cognitively mediated? Psychopharmacology, 184(3–4), 553–566. https://doi.org/10.1007/s00213-005-0150-0.
Hommel, B., & Wiers, R. W. (2017). Towards a unitary approach to human action control. Trends in Cognitive Sciences, 21(12), 940–949. https://doi.org/10.1016/j.tics.2017.09.009.
Hønsi, A., Mentzoni, R. A., Molde, H., & Pallesen, S. (2013). Attentional bias in problem gambling: A systematic review. Journal of Gambling Studies, 29(3), 359–375. https://doi.org/10.1007/s10899-012-9315-z.
Hopko, D. R., Lejuez, C. W., Daughters, S. B., Aklin, W. M., Osborne, A., Simmons, B. L., & Strong, D. R. (2006). Construct validity of the Balloon Analogue Risk Task (BART): Relationship with MDMA use by inner-city drug users in residential treatment. Journal of Psychopathology and Behavioral Assessment, 28(2), 95–101. https://doi.org/10.1007/s10862-006-7487-5.
Hulka, L. M., Eisenegger, C., Preller, K. H., Vonmoos, M., Jenni, D., Bendrick, K., et al. (2014). Altered social and non-social decision-making in recreational and dependent cocaine users. Psychological Medicine, 44(5), 1015–1028. https://doi.org/10.1017/S0033291713001839.
Jeromin, F., Nyenhuis, N., & Barke, A. (2016). Attentional bias in excessive internet gamers: Experimental investigations using an addiction Stroop and a visual probe. Journal of Behavioral Addictions, 5(1), 32–40. https://doi.org/10.1556/2006.5.2016.012.
Jorm, A. F. (2015). Using the Delphi expert consensus method in mental health research. Australian & New Zealand Journal of Psychiatry, 49(10), 887–897. https://doi.org/10.1177/0004867415600891.
Kalivas, P. W., & Volkow, N. D. (2005). The neural basis of addiction: A pathology of motivation and choice. American Journal of Psychiatry, 162(8), 1403–1413. https://doi.org/10.1176/appi.ajp.162.8.1403.
Keles, H. O., Radoman, M., Pachas, G. N., Evins, A. E., & Gilman, J. M. (2017). Using functional near-infrared spectroscopy to measure effects of delta 9-tetrahydrocannabinol on prefrontal activity and working memory in cannabis users. Frontiers in Human Neuroscience, 11, 488. https://doi.org/10.3389/fnhum.2017.00488.
Kendler, K. S., Zachar, P., & Craver, C. (2011). What kinds of things are psychiatric disorders? Psychological Medicine, 41(6), 1143–1150. https://doi.org/10.1017/S0033291710001844.
Keren, G. (2013). A tale of two systems: A scientific advance or a theoretical stone soup? Commentary on Evans & Stanovich (2013). Perspectives on Psychological Science, 8(3), 257–262. https://doi.org/10.1177/1745691613483474.
Keren, G., & Schul, Y. (2009). Two is not always better than one. A critical evaluation of two-system theories. Perspectives on Psychological Science, 4(6), 533–550. https://doi.org/10.1111/j.1745-6924.2009.01164.x.
Khalsa, S. S., Rudrauf, D., Feinstein, J. S., & Tranel, D. (2009). The pathways of interoceptive awareness. Nature Neuroscience, 12(12), 1494–1496. https://doi.org/10.1038/nn.2411.
Kinderman, P., & Tai, S. (2007). Empirically grounded clinical interventions clinical: Implications of a psychological model of mental disorder. Behavioural and Cognitive Psychotherapy, 35(1), 1–14. https://doi.org/10.1017/S1352465806003274.
Kirby, K. N., Petry, N. M., & Bickel, W. K. (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology: General, 128(1), 78–87. https://doi.org/10.1037/0096-3445.128.1.78.
Kirchner, W. K. (1958). Age differences in short-term retention of rapidly changing information. Journal of Experimental Psychology, 55(4), 352–358. https://doi.org/10.1037/h0043688.
Koob, G. F., & Le Moal, M. (2001). Drug addiction, dysregulation of reward, and allostasis. Neuropsychopharmacology, 24(2), 97–129. https://doi.org/10.1016/S0893-133X(00)00195-0.
Kornreich, C., Saeremans, M., Delwarte, J., Noël, X., Campanella, S., Verbanck, P., Ermer, E., & Brevers, D. (2016). Impaired non-verbal emotion processing in pathological gamblers. Psychiatry Research, 236(28), 125–129. https://doi.org/10.1016/j.psychres.2015.12.020.
Krmpotich, T., Mikulich-Gilbertson, S., Sakai, J., Thompson, L., Banich, M. T., & Tanabe, J. (2015). Impaired decision-making, higher impulsivity, and drug severity in substance dependence and pathological gambling. Journal of Addiction Medicine, 9(4), 273–280. https://doi.org/10.1097/ADM.0000000000000129.
Larøi, F., & Van der Linden, M. (2013). The need for an individualized, everyday life and integrative approach to cognitive remediation in schizophrenia. Journal of Psychotherapy Integration, 23(3), 290–304. https://doi.org/10.1037/a0032358.
Lannoy, S., D’Hondt, F., Dormal, V., Billieux, J., & Maurage, P. (2017). Electrophysiological correlates of performance monitoring in binge drinking: Impaired error-related but preserved feedback processing. Clinical Neurophysiology, 128(11), 2110–2121. https://doi.org/10.1016/j.clinph.2017.08.005.
Ledgerwood, D. M., Orr, E. S., Kaploun, K. A., Milosevic, A., Frisch, G. R., Rupcich, N., & Lundahl, L. H. (2012). Executive function in pathological gamblers and healthy controls. Journal of Gambling Studies, 28(1), 89–103. https://doi.org/10.1007/s10899-010-9237-6.
Leekam, S. R., & Ramsden, C. A. H. (2006). Dyadic orienting and joint attention in preschool children with autism. Journal of Autism and Developmental Disorders, 36(2), 185–197. https://doi.org/10.1007/s10803-005-0054-1.
Lejuez, C. W., Aklin, W., Bornovalova, M., & Moolchan, E. T. (2005). Differences in risk-taking propensity across inner-city adolescent ever- and never-smokers. Nicotine & Tobacco Research, 7(1), 71–79. https://doi.org/10.1080/14622200412331328484.
Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., et al. (2002). Evaluation of a behavioral measure of risk taking: The balloon analogue risk task (BART). Journal of Experimental Psychology: Applied, 8(2), 75–84. https://doi.org/10.1037//1076-898X.8.2.75.
Leppink, E. W., Redden, S. A., Chamberlain, S. R., & Grant, J. E. (2016). Cognitive flexibility correlates with gambling severity in young adults. Journal of Psychiatric Research, 81, 9–15. https://doi.org/10.1016/j.jpsychires.2016.06.010.
Lesage, E., Aronson, S. E., Sutherland, M. T., Ross, T. J., Salmeron, B. J., & Stein, E. A. (2017). Neural signatures of cognitive flexibility and reward sensitivity following nicotinic receptor stimulation in dependent smokers: A randomized trial. JAMA Psychiatry, 74(6), 632–640. https://doi.org/10.1001/jamapsychiatry.2017.0400.
Levine, B., Svoboda, E., Hay, J. F., Winocur, G., & Moscovitch, M. (2002). Aging and autobiographical memory: Dissociating episodic from semantic retrieval. Psychology and Aging, 17(4), 677–689. https://doi.org/10.1037//0882-7974.17.4.677.
Littel, M., van den Berg, I., Luijten, M., van Rooij, A. J., Keemink, L., & Franken, I. H. A. (2012). Error processing and response inhibition in excessive computer game players: An event-related potential study. Addiction Biology, 17(5), 934–947. https://doi.org/10.1111/j.1369-1600.2012.00467.x.
Luijten, M., Veltman, D. J., Hester, R., Smits, M., Nijs, I. M. T., Pepplinkhuizen, L., & Franken, I. H. A. (2013). The role of dopamine in inhibitory control in smokers and non-smokers: A pharmacological fMRI study. European Neuropsychopharmacology, 23(10), 1247–1256. https://doi.org/10.1016/j.euroneuro.2012.10.017.
Maij, D. L., van de Wetering, B. J., & Franken, I. H. (2017). Cognitive control in young adults with cannabis use disorder: An event-related brain potential study. Journal of Psychopharmacology, 31(8), 1015–1026. https://doi.org/10.1177/0269881117719262.
Maniscalco, B., & Lau, H. (2012). A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. Consciousness and Cognition, 21(1), 422–430. https://doi.org/10.1016/j.concog.2011.09.021.
Manning, V., Staiger, P. K., Hall, K., Garfield, J. B. B., Flaks, G., Leung, D., et al. (2016). Cognitive bias modification training during inpatient alcohol detoxification reduces early relapse: A randomized controlled trial. Alcoholism, Clinical and Experimental Research, 40(9), 2011–2019. https://doi.org/10.1111/acer.13163.
Marhe, R., Waters, A. J., van de Wetering, B. J. M., & Franken, I. H. A. (2013). Implicit and explicit drug-related cognitions during detoxification treatment are associated with drug relapse: An ecological momentary assessment study. Journal of Consulting and Clinical Psychology, 81(1), 1–12. https://doi.org/10.1037/a0030754.
Marissen, M. A. E., Franken, I. H. A., Waters, A. J., Blanken, P., van den Brink, W., & Hendriks, V. M. (2006). Attentional bias predicts heroin relapse following treatment. Addiction, 101(9), 1306–1312. https://doi.org/10.1111/j.1360-0443.2006.01498.x.
Marks, K. R., Roberts, W., Stoops, W. W., Pike, E., Fillmore, M. T., & Rush, C. R. (2014). Fixation time is a sensitive measure of cocaine cue attentional bias. Addiction, 109(9), 1501–1508. https://doi.org/10.1111/add.12635.
Martin Braunstein, L., Kuerbis, A., Ochsner, K., & Morgenstern, J. (2016). Implicit alcohol approach and avoidance tendencies predict future drinking in problem drinkers. Alcoholism, Clinical and Experimental Research, 40(9), 1945–1952. https://doi.org/10.1111/acer.13151.
Martinotti, G., Di Nicola, M., Tedeschi, D., Cundari, S., & Janiri, L. (2009). Empathy ability is impaired in alcohol-dependent patients. The American Journal on Addictions, 18(2), 157–161. https://doi.org/10.1080/10550490802544391.
Maurage, P., D’Hondt, F., de Timary, P., Mary, C., Franck, N., & Peyroux, E. (2016). Dissociating affective and cognitive theory of mind in recently detoxified alcohol-dependent individuals. Alcoholism, Clinical and Experimental Research, 40(9), 1926–1934. https://doi.org/10.1111/acer.13155.
Mayer, A. R., Wilcox, C. E., Dodd, A. B., Klimaj, S. D., Dekonenko, C. J., Claus, E. D., & Bogenschutz, M. (2016). The efficacy of attention bias modification therapy in cocaine use disorders. The American Journal of Drug and Alcohol Abuse, 42(4), 459–468. https://doi.org/10.3109/00952990.2016.1151523.
McAlonan, K., & Brown, V. J. (2003). Orbital prefrontal cortex mediates reversal learning and not attentional set shifting in the rat. Behavioral Brain Research, 146(1–2), 97–103. https://doi.org/10.1016/j.bbr.2003.09.019.
McCarthy, D. M., & Thompsen, D. M. (2006). Implicit and explicit measures of alcohol and smoking cognitions. Psychology of Addictive Behaviors, 20(4), 436–444. https://doi.org/10.1037/0893-164X.20.4.436.
McClure, S. M., & Bickel, W. K. (2014). A dual-systems perspective on addiction: Contributions from neuroimaging and cognitive training. Annals of the New York Academy of Sciences, 1327, 62–78. https://doi.org/10.1111/nyas.12561.
McLellan, A. T., Lewis, D. C., O’Brien, C. P., & Kleber, H. D. (2000). Drug dependence, a chronic medical illness: Implications for treatment, insurance, and outcomes evaluation. JAMA, 284(13), 1689–1695. https://doi.org/10.1001/jama.284.13.1689.
Mercuri, K., Terrett, G., Bailey, P. E., Henry, J. D., Curran, H. V., & Rendell, P. G. (2016). Deconstructing the nature of episodic foresight deficits associated with chronic opiate use. British Journal of Clinical Psychology, 55(4), 401–413. https://doi.org/10.1111/bjc.12110.
Mercuri, K., Terrett, G., Henry, J. D., Bailey, P. E., Curran, H. V., & Rendell, P. G. (2015). Episodic foresight deficits in long-term opiate users. Psychopharmacology, 232(7), 1337–1345. https://doi.org/10.1007/s00213-014-3772-2.
Miller, W. R. (1996). What is a relapse? Fifty ways to leave the wagon. Addiction, 91(12), 15–28. https://doi.org/10.1046/j.1360-0443.91.12s1.6.x.
Miyake, A., & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21(1), 8–14. https://doi.org/10.1177/0963721411429458.
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex « frontal lobe » tasks: A latent variable analysis. Cognitive Psychology, 41(1), 49–100. https://doi.org/10.1006/cogp.1999.0734.
Moccia, L., Pettorruso, M., De Crescenzo, F., De Risio, L., di Nuzzo, L., Martinotti, G., et al. (2017). Neural correlates of cognitive control in gambling disorder: A systematic review of fMRI studies. Neuroscience and Biobehavioral Reviews, 78, 104–116. https://doi.org/10.1016/j.neubiorev.2017.04.025.
Moeller, S. J., Fleming, S. M., Gan, G., Zilverstand, A., Malaker, P., d’Oleire Uquillas, F., et al. (2016). Metacognitive impairment in active cocaine use disorder is associated with individual differences in brain structure. European Neuropsychopharmacology, 26(4), 653–662. https://doi.org/10.1016/j.euroneuro.2016.02.009.
Moeller, S. J., Hajcak, G., Parvaz, M. A., Dunning, J. P., Volkow, N. D., & Goldstein, R. Z. (2012). Psychophysiological prediction of choice: Relevance to insight and drug addiction. Brain, 135(11), 3481–3494. https://doi.org/10.1093/brain/aws252.
Moeller, S. J., Konova, A. B., Parvaz, M. A., Tomasi, D., Lane, R. D., Fort, C., & Goldstein, R. Z. (2014). Functional, structural, and emotional correlates of impaired insight in cocaine addiction. JAMA Psychiatry, 71(1), 61–70. https://doi.org/10.1001/jamapsychiatry.2013.2833.
Moeller, S. J., Maloney, T., Parvaz, M. A., Alia-Klein, N., Woicik, P. A., Telang, F., et al. (2010). Impaired insight in cocaine addiction: Laboratory evidence and effects on cocaine-seeking behaviour. Brain, 133(5), 1484–1493. https://doi.org/10.1093/brain/awq066.
Mogg, K., Field, M., & Bradley, B. P. (2005). Attentional and approach biases for smoking cues in smokers: An investigation of competing theoretical views of addiction. Psychopharmacology, 180(2), 333–341. https://doi.org/10.1007/s00213-005-2158-x.
Monsell, S. (1996). Control of mental processes. In V. Bruce (Ed.), Unsolved mysteries of the mind: Tutorial essays in cognition (pp. 93–148). Hove: Erlbaum.
Moos, R. H., & Moos, B. S. (2006). Rates and predictors of relapse after natural and treated remission from alcohol use disorders. Addiction, 101(2), 212–222. https://doi.org/10.1111/j.1360-0443.2006.01310.x.
Moreno, M., Estevez, A. F., Zaldivar, F., Montes, J. M. G., Gutiérrez-Ferre, V. E., Esteban, L., et al. (2012). Impulsivity differences in recreational cannabis users and binge drinkers in a university population. Drug and Alcohol Dependence, 124(3), 355–362. https://doi.org/10.1016/j.drugalcdep.2012.02.011.
Morie, K. P., De Sanctis, P., Garavan, H., & Foxe, J. J. (2014). Executive dysfunction and reward dysregulation: A high-density electrical mapping study in cocaine abusers. Neuropharmacology, 85, 397–407. https://doi.org/10.1016/j.neuropharm.2014.05.016.
Mukherjee, K. (2010). A dual system model of preferences under risk. Psychological Review, 117(1), 243–255. https://doi.org/10.1037/a0017884.
Nandrino, J.-L., & Gandolphe, M.-C. (2017). Characterization of self-defining memories in individuals with severe alcohol use disorders after mid-term abstinence: The impact of the emotional valence of memories. Alcoholism: Clinical and Experimental Research, 41(8), 1484–1491. https://doi.org/10.1111/acer.13424.
Nandrino, J.-L., El Haj, M., Torre, J., Naye, D., Douchet, H., Danel, T., & Cottençin, O. (2016). Autobiographical memory deficits in alcohol-dependent patients with short- and long-term abstinence. Alcoholism: Clinical and Experimental Research, 40(4), 865–873. https://doi.org/10.1111/acer.13001.
Naqvi, N. H., & Bechara, A. (2010). The insula and drug addiction: An interoceptive view of pleasure, urges, and decision-making. Brain Structure & Function, 214(5–6), 435–450. https://doi.org/10.1007/s00429-010-0268-7.
Naqvi, N. H., Rudrauf, D., Damasio, H., & Bechara, A. (2007). Damage to the insula disrupts addiction to cigarette smoking. Science, 315(5811), 531–534. https://doi.org/10.1126/science.1135926.
Newell, B., & Shanks, D. (2014). Unconscious influence on decision making: A critical review. Behavioral and Brain Sciences, 37(1), 1–19. https://doi.org/10.1017/S0140525X12003214.
Noël, X., Bechara, A., Dan, B., Hanak, C., & Verbanck, P. (2007). Response inhibition deficit is involved in poor decision making under risk in nonamnesic individuals with alcoholism. Neuropsychology, 21(6), 778–786. https://doi.org/10.1037/0894-4105.21.6.778.
Noël, X., Billieux, J., Van der Linden, M., Dan, B., de Bournonville, S., Hanak, C., & Verbanck, P. (2009). Impaired inhibition of proactive interference in abstinent individuals with alcoholism. Journal of Clinical and Experimental Neuropsychology, 31(1), 57–64. https://doi.org/10.1080/13803390801982726.
Noël, X., Brevers, D., & Bechara, A. (2013a). A neurocognitive approach to understanding the neurobiology of addiction. Current Opinion in Neurobiology, 23(4), 632–638. https://doi.org/10.1016/j.conb.2013.01.018.
Noël, X., Brevers, D., & Bechara, A. (2013b). A triadic neurocognitive approach to addiction for clinical interventions. Frontiers in Psychiatry, 4, 179. https://doi.org/10.3389/fpsyt.2013.00179.
Noël, X., Van der Linden, M., Brevers, D., Campanella, S., Verbanck, P., Hanak, C., et al. (2013c). Separating intentional inhibition of prepotent responses and resistance to proactive interference in alcohol-dependent individuals. Drug and Alcohol Dependence, 128(3), 200–205. https://doi.org/10.1016/j.drugalcdep.2012.08.021.
Noël, X., Jaafari, N., & Bechara, A. (2017a). Addictive behaviors: Why and how impaired mental time matters? Progress in Brain Research, 235, 219–237. https://doi.org/10.1016/bs.pbr.2017.07.011.
Noël, X., Saeremans, M., Kornreich, C., Jaafari, N., & D’Argembeau, A. (2017b). Future-oriented mental time travel in individuals with disordered gambling. Consciousness and Cognition, 49, 227–236. https://doi.org/10.1016/j.concog.2017.02.006.
O’Doherty, J. P., Cockburn, J., & Pauli, W. M. (2017). Learning, reward, and decision making. Annual Review of Psychology, 68(1), 73–100. https://doi.org/10.1146/annurev-psych-010416-044216.
Onuoha, R. C., Quintana, D. S., Lyvers, M., & Guastella, A. J. (2016). A meta-analysis of theory of mind in alcohol use disorders. Alcohol and Alcoholism, 51(4), 410–415. https://doi.org/10.1093/alcalc/agv137.
Papageorgiou, C., Rabavilas, A., Liappas, I., & Stefanis, C. (2003). Do obsessive-compulsive patients and abstinent heroin addicts share a common psychophysiological mechanism? Neuropsychobiology, 47(1), 1–11. https://doi.org/10.1159/000068868.
Patterson, F., Jepson, C., Loughead, J., Perkins, K., Strasser, A. A., Siegel, S., et al. (2010). Working memory deficits predict short-term smoking resumption following brief abstinence. Drug and Alcohol Dependence, 106(1), 61–64. https://doi.org/10.1016/j.drugalcdep.2009.07.020.
Pauli, W. M., & O’Reilly, R. C. (2008). Attentional control of associative learning—A possible role of the central cholinergic system. Brain Research, 1202, 43–53. https://doi.org/10.1016/j.brainres.2007.06.097.
Paulus, M. P., & Stewart, J. L. (2014). Interoception and drug addiction. Neuropharmacology, 76(Pt B), 342–350. https://doi.org/10.1016/j.neuropharm.2013.07.002.
Paulus, M. P., Tapert, S. F., & Schulteis, G. (2009). The role of interoception and alliesthesia in addiction. Pharmacology, Biochemistry, and Behavior, 94(1), 1–7. https://doi.org/10.1016/j.pbb.2009.08.005.
Paydary, K., Mahin Torabi, S., SeyedAlinaghi, S., Noori, M., Noroozi, A., Ameri, S., & Ekhtiari, H. (2016). Impulsivity, sensation seeking, and risk-taking behaviors among HIV-positive and HIV-negative heroin dependent persons. AIDS Research and Treatment, 2016, 5323256. https://doi.org/10.1155/2016/5323256.
Payne, B. K., Cheng, C. M., Govorun, O., & Stewart, B. D. (2005). An inkblot for attitudes: Affect misattribution as implicit measurement. Journal of Personality and Social Psychology, 89(3), 277–293. https://doi.org/10.1037/0022-3514.89.3.277.
Payne, B. K., McClernon, F. J., & Dobbins, I. G. (2007). Automatic affective responses to smoking cues. Experimental and Clinical Psychopharmacology, 15(4), 400–409. https://doi.org/10.1037/1064-1297.15.4.400.
Pessoa, L. (2017). A network model of the emotional brain. Trends in Cognitive Sciences, 21(5), 357–371. https://doi.org/10.1016/j.tics.2017.03.002.
Pfefferbaum, A., Desmond, J. E., Galloway, C., Menon, V., Glover, G. H., & Sullivan, E. V. (2001). Reorganization of frontal systems used by alcoholics for spatial working memory: An fMRI study. NeuroImage, 14(1), 7–20. https://doi.org/10.1006/nimg.2001.0785.
Poppa, T., & Bechara, A. (2018). The somatic marker hypothesis: Revisiting the role of the ‘body-loop’ in decision-making. Current Opinion in Behavioral Sciences, 19, 61–66. https://doi.org/10.1016/j.cobeha.2017.10.007.
Porges, S. (1993). Body perception questionnaire: Laboratory of development assessment. University of Maryland.
Powell, J., Dawkins, L., West, R., Powell, J., & Pickering, A. (2010). Relapse to smoking during unaided cessation: Clinical, cognitive and motivational predictors. Psychopharmacology, 212(4), 537–549. https://doi.org/10.1007/s00213-010-1975-8.
Ramaekers, J. G., Kauert, G., Theunissen, E. L., Toennes, S. W., & Moeller, M. R. (2009). Neurocognitive performance during acute THC intoxication in heavy and occasional cannabis users. Journal of Psychopharmacology, 23(3), 266–277. https://doi.org/10.1177/0269881108092393.
Redish, A. D., Jensen, S., & Johnson, A. (2008). Addiction as vulnerabilities in the decision process. Behavioral and Brain Sciences, 31(4), 461–487. https://doi.org/10.1017/S0140525X08004986.
Reinecke, A., Becker, E. S., & Rinck, M. (2010). Three indirect tasks assessing implicit threat associations and behavioral response tendencies. Journal of Psychology, 218(1), 4–11. https://doi.org/10.1027/0044-3409/a000002.
Rinck, M., & Becker, E. S. (2007). Approach and avoidance in fear of spiders. Journal of Behavior Therapy and Experimental Psychiatry, 38(2), 105–120. https://doi.org/10.1016/j.jbtep.2006.10.001.
Ring, C., Brener, J., Knapp, K., & Mailloux, J. (2015). Effects of heartbeat feedback on beliefs about heart rate and heartbeat counting: A cautionary tale about interoceptive awareness. Biological Psychology, 104, 193–198. https://doi.org/10.1016/j.biopsycho.2014.12.010.
Roberts, C. A., Fairclough, S., Fisk, J. E., Tames, F. T., & Montgomery, C. (2013). Electrophysiological indices of response inhibition in human polydrug users. Journal of Psychopharmacology, 27(9), 779–789. https://doi.org/10.1177/0269881113492899.
Roberts, A. C., Robbins, T. W., & Everitt, B. J. (1988). The effects of intradimensional and extradimensional shifts on visual discrimination learning in humans and non-human primates. The Quarterly Journal of Experimental Psychology. B, Comparative and Physiological Psychology, 40(4), 321–341. https://doi.org/10.1080/14640748808402328.
Robinson, T. E., & Berridge, K. C. (2003). Addiction. Annual Review of Psychology, 54, 25–53. https://doi.org/10.1146/annurev.psych.54.101601.145237.
Robinson, T. E., & Berridge, K. C. (2008). The incentive sensitization theory of addiction: Some current issues. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 363(1507), 3137–3146. https://doi.org/10.1098/rstb.2008.0093.
Rogers, R. D., Owen, A. M., Middleton, H. C., Williams, E. J., Pickard, J. D., Sahakian, B. J., & Robbins, T. W. (1999). Choosing between small, likely rewards and large, unlikely rewards activates inferior and orbital prefrontal cortex. Journal of Neuroscience, 19(20), 9029–9038. https://doi.org/10.1523/JNEUROSCI.19-20-09029.1999.
Ruff, C. C., & Fehr, E. (2014). The neurobiology of rewards and values in social decision making. Nature Reviews Neuroscience, 15(8), 549–562. https://doi.org/10.1038/nrn3776.
Ryan, K. K., Mackillop, J., & Carpenter, M. J. (2013). The relationship between impulsivity, risk-taking propensity and nicotine dependence among older adolescent smokers. Addictive Behaviors, 38(1), 1431–1434. https://doi.org/10.1016/j.addbeh.2012.08.013.
Sadeghi, S., Ekhtiari, H., Bahrami, B., & Ahmadabadi, M. N. (2017). Metacognitive deficiency in a perceptual but not a memory task in methadone maintenance patients. Scientific Reports, 7(1), 7052. https://doi.org/10.1038/s41598-017-06707-w.
Sanvicente-Vieira, B., Kluwe-Schiavon, B., Corcoran, R., & Grassi-Oliveira, R. (2017). Theory of mind impairments in women with cocaine addiction. Journal of Studies on Alcohol and Drugs, 78(2), 258–267. https://doi.org/10.15288/jsad.2017.78.258.
Schellekens, A. F. A., de Bruijn, E. R. A., van Lankveld, C. A. A., Hulstijn, W., Buitelaar, J. K., de Jong, C. A. J., & Verkes, R. J. (2010). Alcohol dependence and anxiety increase error-related brain activity. Addiction, 105(11), 1928–1934. https://doi.org/10.1111/j.1360-0443.2010.03065.x.
Schepis, T. S., McFetridge, A., Chaplin, T. M., Sinha, R., & Krishnan-Sarin, S. (2011). A pilot examination of stress-related changes in impulsivity and risk taking as related to smoking status and cessation outcome in adolescents. Nicotine & Tobacco Research, 13(7), 611–615. https://doi.org/10.1093/ntr/ntr022.
Schiebener, J., & Brand, M. (2015). Decision making under objective risk conditions - a review of cognitive and emotional correlates, strategies, feedback processing, and external influences. Neuropsychology Review, 25(2), 171–198. https://doi.org/10.1007/s11065-015-9285-x.
Schiebener, J., & Brand, M. (2017). Decision making and related processes in internet gaming disorder and other types of internet-use disorders. Current Addiction Reports, 4(3), 262–271. https://doi.org/10.1007/s40429-017-0156-9.
Schmidt, A. F., Eulenbruch, T., Langer, C., & Banger, M. (2013). Interoceptive awareness, tension reduction expectancies and self-reported drinking behavior. Alcohol and Alcoholism, 48(4), 472–477. https://doi.org/10.1093/alcalc/agt024.
Schoenmakers, T. M., de Bruin, M., Lux, I. F. M., Goertz, A. G., Van Kerkhof, D. H. A. T., & Wiers, R. W. (2010). Clinical effectiveness of attentional bias modification training in abstinent alcoholic patients. Drug and Alcohol Dependence, 109, 30–36. https://doi.org/10.1016/j.drugalcdep.2009.11.022.
Shanks, D. R. (2009). The associative nature of human associative learning. Behavioral and Brain Sciences, 32(2), 225–226. https://doi.org/10.1017/S0140525X09001149.
Sharbanee, J. M., Hu, L., Stritzke, W. G. K., Wiers, R. W., Rinck, M., & MacLeod, C. (2014). The effect of approach/avoidance training on alcohol consumption is mediated by change in alcohol action tendency. PLoS One, 9(1), e85855. https://doi.org/10.1371/journal.pone.0085855.
Simon, H. A. (1979). Rational decision making in business organizations. The American Economic Review, 69(4), 493–513.
Sloman, S. A. (1996). The empirical case for two systems of reasoning. Psychological Bulletin, 119(1), 3–22. https://doi.org/10.1037/0033-2909.119.1.3.
Smith, J. L., Mattick, R. P., Jamadar, S. D., & Iredale, J. M. (2014). Deficits in behavioural inhibition in substance abuse and addiction: A meta-analysis. Drug and Alcohol Dependence, 145, 1–33. https://doi.org/10.1016/j.drugalcdep.2014.08.009.
Sokhadze, E., Stewart, C., Hollifield, M., & Tasman, A. (2008). Event-related potential study of executive dysfunctions in a speeded reaction task in cocaine addiction. Journal of Neurotherapy, 12(4), 185–204. https://doi.org/10.1080/10874200802502144.
Sokol-Hessner, P., Hartley, C. A., Hamilton, J. R., & Phelps, E. A. (2015). Interoceptive ability predicts aversion to losses. Cognition and Emotion, 29(4), 695–701. https://doi.org/10.1080/02699931.2014.925426.
Sönmez, M. B., Kılıç, E. K., Çöl, I. A., Görgülü, Y., & Çınar, R. K. (2017). Decreased interoceptive awareness in patients with substance use disorders. Journal of Substance Use, 22(1), 60–65. https://doi.org/10.3109/14659891.2016.1143048.
Spechler, P. A., Chaarani, B., Hudson, K. E., Potter, A., Foxe, J. J., & Garavan, H. (2016). Response inhibition and addiction medicine: From use to abstinence. Progress in Brain Research, 223, 143–164. https://doi.org/10.1016/bs.pbr.2015.07.024.
Spronk, D. B., Verkes, R. J., Cools, R., Franke, B., Van Wel, J. H. P., Ramaekers, J. G., & De Bruijn, E. R. A. (2016). Opposite effects of cannabis and cocaine on performance monitoring. European Neuropsychopharmacology, 26(7), 1127–1139. https://doi.org/10.1016/j.euroneuro.2016.03.015.
Spruyt, A., De Houwer, J., Tibboel, H., Verschuere, B., Crombez, G., Verbanck, P., et al. (2013). On the predictive validity of automatically activated approach/avoidance tendencies in abstaining alcohol-dependent patients. Drug and Alcohol Dependence, 127(1–3), 81–86. https://doi.org/10.1016/j.drugalcdep.2012.06.019.
Stavro, K., Pelletier, J., & Potvin, S. (2013). Widespread and sustained cognitive deficits in alcoholism: A meta-analysis. Addiction Biology, 18(2), 203–213. https://doi.org/10.1111/j.1369-1600.2011.00418.x.
Stevens, L., Verdejo-García, A., Goudriaan, A. E., Roeyers, H., Dom, G., & Vanderplasschen, W. (2014). Impulsivity as a vulnerability factor for poor addiction treatment outcomes: A review of neurocognitive findings among individuals with substance use disorders. Journal of Substance Abuse Treatment, 47(1), 58–72. https://doi.org/10.1016/j.jsat.2014.01.008.
Stone, V. E., Baron-Cohen, S., & Knight, R. T. (1998). Frontal lobe contributions to theory of mind. Journal of Cognitive Neuroscience, 10, 640–656. https://doi.org/10.1162/089892998562942.
Strack, F., & Deutsch, R. (2004). Reflective and impulsive determinants of social behavior. Personality and Social Psychology Review, 8(3), 220–247. https://doi.org/10.1207/s15327957pspr0803_1.
Tabibnia, G., Monterosso, J. R., Baicy, K., Aron, A. R., Poldrack, R. A., Chakrapani, S., et al. (2011). Different forms of self-control share a neurocognitive substrate. Journal of Neuroscience, 31(13), 4805–4810. https://doi.org/10.1523/JNEUROSCI.2859-10.2011.
Tapert, S. F., Schweinsburg, A. D., Drummond, S. P. A., Paulus, M. P., Brown, S. A., Yang, T. T., & Frank, L. R. (2007). Functional MRI of inhibitory processing in abstinent adolescent marijuana users. Psychopharmacology, 194(2), 173–183. https://doi.org/10.1007/s00213-007-0823-y.
Tello, N., Bocage-Barthélémy, Y., Dandaba, M., Jaafari, N., & Chatard, A. (2018). Evaluative conditioning: A brief computer-delivered intervention to reduce college student drinking. Addictive Behaviors, 82, 14–18. https://doi.org/10.1016/j.addbeh.2018.02.018.
Thoma, P., Winter, N., Juckel, G., & Roser, P. (2013). Mental state decoding and mental state reasoning in recently detoxified alcohol-dependent individuals. Psychiatry Research, 205(3), 232–240. https://doi.org/10.1016/j.psychres.2012.08.042.
Tomei, A., Besson, J., & Grivel, J. (2017). Linking empathy to visuospatial perspective-taking in gambling addiction. Psychiatry Research, 250, 177–184. https://doi.org/10.1016/j.psychres.2016.12.061.
Torres, A., Catena, A., Cándido, A., Maldonado, A., Megías, A., & Perales, J. C. (2013). Cocaine dependent individuals and gamblers present different associative learning anomalies in feedback-driven decision making: A behavioral and ERP study. Frontiers in Psychology, 4, 122. https://doi.org/10.3389/fpsyg.2013.00122.
Townshend, J. M., & Duka, T. (2001). Attentional bias associated with alcohol cues: Differences between heavy and occasional social drinkers. Psychopharmacology, 157(1), 67–74. https://doi.org/10.1007/s002130100764.
Tulving, E. (2002). Episodic memory: From mind to brain. Annual Review of Psychology, 53, 1–25. https://doi.org/10.1146/annurev.psych.53.100901.135114.
Turner, T. H., LaRowe, S., Horner, M. D., Herron, J., & Malcolm, R. (2009). Measures of cognitive functioning as predictors of treatment outcome for cocaine dependence. Journal of Substance Abuse Treatment, 37(4), 328–334. https://doi.org/10.1016/j.jsat.2009.03.009.
Valentine, G., & Sofuoglu, M. (2018). Cognitive effects of nicotine: Recent progress. Current Neuropharmacology, 16(4), 403–414. https://doi.org/10.2174/1570159X15666171103152136.
van Hemel-Ruiter, M. E., de Jong, P. J., Ostafin, B. D., & Wiers, R. W. (2015). Reward sensitivity, attentional bias, and executive control in early adolescent alcohol use. Addictive Behaviors, 40, 84–90. https://doi.org/10.1016/j.addbeh.2014.09.004.
Van der Plas, E. A., Crone, E. A., van den Wildenberg, W. P., Tranel, D., & Bechara, A. (2009). Executive control deficits in substance-dependent individuals: A comparison of alcohol, cocaine, and methamphetamine and of men and women. Journal of Clinical and Experimental Neuropsychology, 31(6), 706–719. https://doi.org/10.1080/13803390802484797.
Vanes, L. D., van Holst, R. J., Jansen, J. M., van den Brink, W., Oosterlaan, J., & Goudriaan, A. E. (2014). Contingency learning in alcohol dependence and pathological gambling: Learning and unlearning reward contingencies. Alcoholism, Clinical and Experimental Research, 38(6), 1602–1610. https://doi.org/10.1111/acer.12393.
Verbaten, M. N. (2010). Deterioration of executive functioning in chronic ecstasy users: Evidence for multiple drugs effects. Current Drug Abuse Reviews, 3(3), 129–138.
Verbruggen, F., & Logan, G. D. (2008). Response inhibition in the stop-signal paradigm. Trends in Cognitive Sciences, 12(11), 418–424. https://doi.org/10.1016/j.tics.2008.07.005.
Verdejo-Garcia, A., Chong, T. T.-J., Stout, J. C., Yücel, M., & London, E. D. (2018). Stages of dysfunctional decision-making in addiction. Pharmacology Biochemistry and Behavior, 164, 99–105. https://doi.org/10.1016/j.pbb.2017.02.003.
Verdejo-Garcia, A., Clark, L., & Dunn, B. D. (2012). The role of interoception in addiction: A critical review. Neuroscience and Biobehavioral Reviews, 36(8), 1857–1869. https://doi.org/10.1016/j.neubiorev.2012.05.007.
Verdejo-García, A., Clark, L., Verdejo-Román, J., Albein-Urios, N., Martinez-Gonzalez, J. M., Gutierrez, B., & Soriano-Mas, C. (2015). Neural substrates of cognitive flexibility in cocaine and gambling addictions. The British Journal of Psychiatry, 207(2), 158–164. https://doi.org/10.1192/bjp.bp.114.152223.
Verdejo-García, A., & Pérez-García, M. (2007). Profile of executive deficits in cocaine and heroin polysubstance users: Common and differential effects on separate executive components. Psychopharmacology, 190(4), 517–530. https://doi.org/10.1007/s00213-006-0632-8.
Volkow, N. D., Fowler, J. S., & Wang, G.-J. (2003). The addicted human brain: Insights from imaging studies. Journal of Clinical Investigation, 111(10), 1444–1451. https://doi.org/10.1172/JCI18533.
Volkow, N. D., Wang, G.-J., Fowler, J. S., Tomasi, D., & Telang, F. (2011). Addiction: Beyond dopamine reward circuitry. Proceedings of the National Academy of Sciences of the United States of America, 108(37), 15037–15042. https://doi.org/10.1073/pnas.1010654108.
Volkow, N. D., Wang, G.-J., Fowler, J. S., Tomasi, D., Telang, F., & Baler, R. (2010). Addiction: Decreased reward sensitivity and increased expectation sensitivity conspire to overwhelm the brain’s control circuit. BioEssays, 32(9), 748–755. https://doi.org/10.1002/bies.201000042.
Vujanovic, A. A., Wardle, M. C., Liu, S., Dias, N. R., & Lane, S. D. (2016). Attentional bias in adults with cannabis use disorders. Journal of Addictive Diseases, 35(2), 144–153. https://doi.org/10.1080/10550887.2015.1116354.
Wang, P.-W., Lin, H.-C., Wu, H.-C., Hsu, C.-Y., Chung, K.-S., Ko, C.-H., & Yen, C.-F. (2015). Explicit and implicit heroin-related cognitions and heroin use among patients receiving methadone maintenance treatment. Comprehensive Psychiatry, 56, 155–160. https://doi.org/10.1016/j.comppsych.2014.08.047.
Waters, A. J., Marhe, R., & Franken, I. H. A. (2012). Attentional bias to drug cues is elevated before and during temptations to use heroin and cocaine. Psychopharmacology, 219(3), 909–921. https://doi.org/10.1007/s00213-011-2424-z.
Waters, A. J., Shiffman, S., Sayette, M. A., Paty, J. A., Gwaltney, C. J., & Balabanis, M. H. (2003). Attentional bias predicts outcome in smoking cessation. Health Psychology, 22(4), 378–387. https://doi.org/10.1037/0278-6133.22.4.378.
Wei, L., Zhang, S., Turel, O., Bechara, A., & He, Q. (2017). A tripartite neurocognitive model of internet gaming disorder. Frontiers in Psychiatry, 8, 285. https://doi.org/10.3389/fpsyt.2017.00285.
Weinstein, A., Ben Abu, H., Timor, A., & Mama, Y. (2016). Delay discounting, risk-taking, and rejection sensitivity among individuals with internet and video gaming disorders. Journal of Behavioral Addictions, 5(4), 674–682. https://doi.org/10.1556/2006.5.2016.081.
Werner, N. S., Jung, K., Duschek, S., & Schandry, R. (2009). Enhanced cardiac perception is associated with benefits in decision-making. Psychophysiology, 46(6), 1123–1129. https://doi.org/10.1111/j.1469-8986.2009.00855.x.
Werner, N. S., Schweitzer, N., Meindl, T., Duschek, S., Kambeitz, J., & Schandry, R. (2013). Interoceptive awareness moderates neural activity during decision-making. Biological Psychology, 94(3), 498–506. https://doi.org/10.1016/j.biopsycho.2013.09.002.
Wesley, M. J., Lile, J. A., Fillmore, M. T., & Porrino, L. J. (2017). Neurophysiological capacity in a working memory task differentiates dependent from nondependent heavy drinkers and controls. Drug and Alcohol Dependence, 175, 24–35. https://doi.org/10.1016/j.drugalcdep.2017.01.029.
Whiteside, S. P., & Lynam, D. R. (2001). The five factor model and impulsivity: Using a structural model of personality to understand impulsivity. Personality and Individual Differences, 30(4), 669–689. https://doi.org/10.1016/S0191-8869(00)00064-7.
Wiers, R. W., van Woerden, N., Smulders, F. T. Y., & de Jong, P. J. (2002). Implicit and explicit alcohol-related cognitions in heavy and light drinkers. Journal of Abnormal Psychology, 111(4), 648–658. https://doi.org/10.1037/0021-843X.111.4.648.
Wiers, R. W., Bartholow, B. D., van den Wildenberg, E., Thush, C., Engels, R. C. M. E., Sher, K. J., et al. (2007a). Automatic and controlled processes and the development of addictive behaviors in adolescents: A review and a model. Pharmacology, Biochemistry, and Behavior, 86(2), 263–283. https://doi.org/10.1016/j.pbb.2006.09.021.
Wiers, R. W., Houben, K., & de Kraker, J. (2007b). Implicit cocaine associations in active cocaine users and controls. Addictive Behaviors, 32(6), 1284–1289. https://doi.org/10.1016/j.addbeh.2006.07.009.
Wiers, R. W., Rinck, M., Dictus, M., & van den Wildenberg, E. (2009). Relatively strong automatic appetitive action-tendencies in male carriers of the OPRM1 G-allele. Genes, Brain, and Behavior, 8(1), 101–106. https://doi.org/10.1111/j.1601-183X.2008.00454.x.
Wiers, R. W., Eberl, C., Rinck, M., Becker, E. S., & Lindenmeyer, J. (2011). Retraining automatic action tendencies changes alcoholic patients’ approach bias for alcohol and improves treatment outcome. Psychological Science, 22(4), 490–497. https://doi.org/10.1177/0956797611400615.
Wiers, R. W., Gladwin, T. E., Hofmann, W., Salemink, E., & Ridderinkhof, K. R. (2013). Cognitive bias modification and cognitive control training in addiction and related psychopathology: Mechanisms, clinical perspectives, and ways forward. Clinical Psychological Science, 1(2), 192–212. https://doi.org/10.1177/2167702612466547.
Wittekind, C. E., Feist, A., Schneider, B. C., Moritz, S., & Fritzsche, A. (2015). The approach-avoidance task as an online intervention in cigarette smoking: A pilot study. Journal of Behavior Therapy and Experimental Psychiatry, 46, 115–120. https://doi.org/10.1016/j.jbtep.2014.08.006.
Woicik, P. A., Urban, C., Alia-Klein, N., Henry, A., Maloney, T., Telang, F., Wang, G. J., Volkow, N. D., & Goldstein, R. Z. (2011). A pattern of perseveration in cocaine addiction may reveal neurocognitive processes implicit in the Wisconsin card sorting test. Neuropsychologia, 49, 1660–1669. https://doi.org/10.1016/j.neuropsychologia.2011.02.037.
World Health Organization (2018). ICD-11 for Mortality and Morbidity Statistics [Internet]. Geneva: World Health Organization; [updated 2018 Jun 18; cited 2018 Jun 19]. Available from: https://icd.who.int/browse11/l-m/en.
Woud, M. L., Maas, J., Wiers, R. W., Becker, E. S., & Rinck, M. (2016). Assessment of tobacco-related approach and attentional biases in smokers, cravers, ex-smokers, and non-smokers. Frontiers in Psychology, 7, 172. https://doi.org/10.3389/fpsyg.2016.00172.
Yen, J.-Y., Yen, C. F., Chen, C.-S., Tang, T.-C., Huang, T.-H., & Ko, C.-H. (2011). Cue-induced positive motivational implicit response in young adults with internet gaming addiction. Psychiatry Research, 190(2–3), 282–286. https://doi.org/10.1016/j.psychres.2011.07.003.
Yücel, M., & Lubman, D. I. (2007). Neurocognitive and neuroimaging evidence of behavioural dysregulation in human drug addiction: Implications for diagnosis, treatment and prevention. Drug and Alcohol Review, 26(1), 33–39. https://doi.org/10.1080/09595230601036978.
Yücel, M., Oldenhof, E., Ahmed, S., Belin, D., Billieux, J., Bowden-Jones, H., et al. (2018). A transdiagnostic dimensional approach towards a neuropsychological assessment for addiction: An international Delphi consensus study. Addiction. https://doi.org/10.1111/add.14424.
Zywiak, W. H., Westerberg, V. S., Connors, G. J., & Maisto, S. A. (2003). Exploratory findings from the reasons for drinking questionnaire. Journal of Substance Abuse Treatment, 25(4), 287–292. https://doi.org/10.1016/S0740-5472(03)00118-1.
Acknowledgements
We are indebted to Till Lindemann for his support regarding the writing of this manuscript. Pierre Maurage (Research Associate) and Alexandre Heeren (Research Associate) are funded by the Belgian Fund for Scientific Research (F.R.S.-FNRS, Belgium). Alexandre Heeren is also a clinical research fellow of the Helaers Foundation.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Rochat, L., Maurage, P., Heeren, A. et al. Let’s Open the Decision-Making Umbrella: A Framework for Conceptualizing and Assessing Features of Impaired Decision Making in Addiction. Neuropsychol Rev 29, 27–51 (2019). https://doi.org/10.1007/s11065-018-9387-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11065-018-9387-3