Comprensión y tratamiento del juego patológico: aportaciones desde la Neurociencia del Aprendizaje

Referencias bibliográficas

• Adams, C. D. y Dickinson, A. (1981). Instrumental responding following reinforcer devaluation. The Quarterly Journal of Experimental Psychology, 33, 109-121.
• Aldridge, J. W. y Berridge, K. C. (2010). Neural coding of pleasure: “Rose-tinted Glasses” of the Ventral Pallidum. En M. L. Kringelbach y K. C. Berridge, (Eds.), Pleasures of the Brain (pp. 62-73). New York: Oxford University Press.
• Ambermoon, P., Carter, A., Hall, W. D., Dissanayaka, N. N. y O’Sullivan, J. D. (2011). Impulse control disorders in patients with Parkinson’s disease receiving dopamine replacement therapy: evidence and implications for the addictions field. Addiction, 106, 283-293.
• American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
• Balleine, B. W. y Dickinson, A. (1998). Goal-directed instrumental action: contingency and incentive learning and their cortical substrates. Neuropharmacology, 37, 407- 419.
• Blaszczynski, A. y Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97, 487-499.
• Blaszczynski, A. y Nower, L. (2013). Cognitive-Behavioral Therapy: Translating Research into Clinical Practice. En D. Richard, A. Blaszczynski y L. Nower (Eds.), The Wiley-Blackwell Handbook of Disordered Gambling (pp 204-224). Somerset: John Wiley & Sons.
• Berridge, K. C. (2007). The debate over dopamine’s role in reward: the case for incentive salience. Psychopharmacology, 191, 391-431.
• Catena, A., Perales, J. C., Megías, A., Cándido, A., Jara, E., y Maldonado, A. (2012). The brain network of expectancy and uncertainty processing. PloS one, 7(7), e40252.
• Chambers R. A. y Potenza M. N. (2003). Impulse control disorders. En M. J. Aminoff y R. B. Daroff (Eds.), Encyclopedia of the Neurological Sciences. San Diego, CA: Academic Press.
• Clark, L., Lawrence, A. J., Astley-Jones, F. y Gray, N. (2009). Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron, 61, 481-490.
• Cools, R. (2008). Role of dopamine in the motivational and cognitive control of behavior. The Neuroscientist, 14, 381-395.
• Czerny, E., Koenig, S. y Turner, N. E. (2008). Exploring the Mind of the Gambler. En M. Zangeneh, A. Blaszczynski y N. E. Turner (Eds.), In the Pursuit of Winning (pp. 65-82). New York: Springer US.
• Di Chiara, G. (2002). Nucleus accumbens shell and core dopamine: differential role in behavior and addiction. Behavioural Brain Research, 137, 75-114.
• Dickerson, M. G. (1979). FI schedules and persistence at gambling in the UK betting office. Journal of Applied Behavior Analysis, 12, 315-323.
• Dickinson, A. y Balleine, B. (2002). The role of learning in the operation of motivational systems. En C. R. Gallistel (Ed.), Steven’s handbook of experimental psychology: Learning, motivation and emotion (pp. 497-534.). New York: John Wiley & Sons.
• Echeburúa, E. (2005). Retos de futuro en el tratamiento del juego patológico. Adicciones, 17(1), 11-16.
• Echeburúa, E., Salaberría, K. y Cruz-Sáez, M. (2014). Nuevos Retos en el Tratamiento del juego Patológico. Terapia Psicológica, 32, 31-40.
• Everitt, B. J. y Robbins, T. W. (2005). Neural systems of reinforcement for drug addiction: from actions to habits to compulsion. Nature neuroscience, 8, 1481-1489.
• Fiorillo, C. D. (2011). Transient activation of midbrain dopamine neurons by reward risk. Neuroscience, 197, 162-171.
• Fiorillo, C. D., Tobler, P. N. y Schultz, W. (2003). Discrete coding of reward probability and uncertainty by dopamine neurons. Science, 299, 1898-1902.
• Fortune, E. E. y Goodie, A. S. (2010). The relationship between pathological gambling and sensation seeking: the role of subscale scores. Journal of Gambling Studies, 26, 331-346.
• Faulkner, P. y Deakin, J. W. (en prensa). The role of serotonin in reward, punishment and behavioural inhibition in humans: Insights from studies with acute tryptophan depletion. Neuroscience & Biobehavioral Reviews.
• Fuentemilla, L., Cucurell, D., Marco-Pallarés, J., Guitart-Masip, M., Morís, J. y RodríguezFornells, A. (2013). Electrophysiological correlates of anticipating improbable but desired events. NeuroImage, 78, 135-144.
• Giroux, I., Faucher-Gravel, A., St-Hilaire, A., Boudreault, C., Jacques, C. y Bouchard, S. (2013). Gambling exposure in virtual reality and modification of urge to gamble. Cyberpsychology, Behavior, and Social Networking, 16, 224-231.
• Goldstein, R. Z. y Volkow, N. D. (2002). Drug addiction and its underlying neurobiological basis: neuroimaging evidence for the involvement of the frontal cortex. American Journal of Psychiatry, 159, 1642-1652.
• Goldstein, R. Z. y Volkow, N. D. (2011). Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nature Reviews Neuroscience, 12, 652-669.
• Goudriaan, A., Oosterlaan, J., de Beurs, E. y van den Brink, W. (2004). Pathological gambling: a comprehensive review of biobehavioral findings. Neuroscience & Biobehavioral Reviews, 28(2), 123-141.
• Goudriaan, A., Oosterlaan, J., de Beurs, E. y van den Brink, W. (2008). The role of selfreported impulsivity and reward sensitivity versus neurocognitive measures of disinhibition and decision-making in the prediction of relapse in pathological gamblers. Psychological Medicine, 38, 41-50.
• Grant, J. E., y Odlaug, B. L. (2012). Psychosocial Interventions for Gambling Disorders. En Increasing the odds (pp. 38-51). Boston: National Center for Responsible Gaming.
• Gray, J. A. (1987). Perspectives on anxiety and impulsivity: A commentary. Journal of Research in Personality, 21, 493-509.
• Habib, R. y Dixon, M. R. (2010). Neurobehavioral evidence for the “near-miss” effect in pathological gamblers. Journal of the Experimental Analysis of Behavior, 93, 313-328.
• Hajcak, G., Moser, J. S., Yeung, N. y Simons, R. F. (2005). On the ERN and the significance of errors. Psychophysiology, 42, 151-160.
• Hofmann, W., Gschwendner, T., Friese, M., Wiers, R. W. y Schmitt, M. (2008). Working memory capacity and self-regulatory behavior: toward an individual differences perspective on behavior determination by automatic versus controlled processes. Journal of Personality and Social Psychology, 95, 962-977.
• Houben, K., Nederkoorn, C., Wiers, R. W. y Jansen, A. (2011). Resisting temptation: decreasing alcohol-related affect and drinking behavior by training response inhibition. Drug and Alcohol Dependence, 116(1), 132-136.
• Houben, K. y Wiers, R. W. (2009). Response inhibition moderates the relationship between implicit associations and drinking behavior. Alcoholism: Clinical and Experimental Research, 33, 626-633.
• Houben, K., Wiers, R. W. y Jansen, A. (2011). Getting a grip on drinking behavior training working memory to reduce alcohol abuse. Psychological Science, 22, 968- 975.
• Humphrey, J. y Richard, D. C. (2013). Brain–Behavior Interactions in Disordered Gambling. En D. Richard, A. Blaszczynski y L. Nower (Eds.), The Wiley-Blackwell Handbook of Disordered Gambling (pp. 98-116). Somerset: John Wiley & Sons.
• Jiménez-Murcia, S., Fernández-Aranda, F., Granero, R. y Menchón, J. M. (2013). Gambling in spain: Update on experience, research and policy. Addiction, 109, 1595- 1601.
• Konorski, J. (1967). Integrative activity of the brain. Chicago: University of Chicago Press.
• Leeman, R. F. y Potenza, M. N. (2012). Similarities and differences between pathological gambling and substance use disorders: A focus on impulsivity and compulsivity. Psychopharmacology, 219, 469-490.
• Linnet, J., Peterson, E., Doudet, D. J., Gjedde, A. y Møller, A. (2010). Dopamine release in ventral striatum of pathological gamblers losing money. Acta Psychiatrica Scandinavica, 122, 326-333.
• MacDonald, A. W., Cohen, J. D., Stenger, V. A. y Carter, C. S. (2000). Dissociating the role of the dorsolateral prefrontal and anterior cingulate cortex in cognitive control. Science, 288, 1835-1838.
• MacKillop, J., Amlung, M. T., Few, L. R., Ray, L. A., Sweet, L. H. y Munafò, M. R. (2011). Delayed reward discounting and addictive behavior: a meta-analysis. Psychopharmacology, 216, 305-321.
• Madden, G. J., Ewan, E. E. y Lagorio, C. H. (2007). Toward an animal model of gambling: Delay discounting and the allure of unpredictable outcomes. Journal of Gambling Studies, 23, 63-83.
• Mandel, D. R. y Vartanian, O. (2009). Weighting of contingency information in causal judgement: Evidence of hypothesis dependence and use of a positive-test strategy. The Quarterly Journal of Experimental Psychology, 62, 2388-2408.
• Martin, G. y Pear, J. (2008). Cómo ayudar a que las personas desarrollen autocontrol. En G. Martin y J. Pear (Eds.), Modificación de conducta, qué es y cómo aplicarla. Madrid: Prentice Hall.
• Michalczuk, R., Bowden-Jones, H., Verdejo-Garcia, A. y Clark, L. (2011). Impulsivity and cognitive distortions in pathological gamblers attending the UK National Problem Gambling Clinic: a preliminary report. Psychological Medicine, 41, 2625-2635.
• Morís, J., Luque, D. y Rodríguez Fornells, A. (2013). Learning-induced modulations of the stimulus-preceding negativity. Psychophysiology, 50, 931-939.
• Muraven, M. y Baumeister, R. F. (2000). Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psychological Bulletin, 126, 247-259.
• Navas, J. F., Torres, A., Vilar, R., Verdejo-García, A., Catena, A. y Perales, J. C. (2014). Nonmonetary Decision-Making Indices Discriminate Between Different Behavioral Components of Gambling. Journal of Gambling Studies, 1-16.
• Nutt, D. (2012). Drugs without the hot air. Minimising the Harms of Legal and Illegal Drugs. Cambridge: UIT Cambridge Ltd.
• O’Doherty, J., Kringelbach, M. L., Rolls, E. T., Hornak, J. y Andrews, C. (2001). Abstract reward and punishment representations in the human orbitofrontal cortex. Nature neuroscience, 4, 95-102.
• Orgaz, C., Estévez, A. y Matute, H. (2013). Pathological gamblers are more vulnerable to the illusion of control in a standard associative learning task. Frontiers in psychology, 4:306.
• Oslin, D. (2011). Personalized addiction treatment: how close are we? Alcohol and Alcoholism, 46, 231-232.
• Padoa-Schioppa, C. (2011). Neurobiology of economic choice: a good-based model. Annual Review of Neuroscience, 34, 333-339.
• Perales, J. y Catena, A. (2006). Human causal induction: A glimpse at the whole picture. European Journal of Cognitive Psychology, 18, 277-320.
• Perales, J. C., Maldonado, A., Candido, A., Contreras, D. y Catena, A. (2008, June). How are causal powers combined? International Journal of Psychology, 43, 510-510.
• Perales, J. C., Nogueira-Cruz, J., Cruz-Quintana, F., Láynez-Rubio, C., Verdejo García, A. y Pérez García, M. (2014). The role of motor impulsivity in socioemotional adjustment in high-risk seven year old children and healthy controls: A follow-up study. Anales de Psicología, 30, 221-231.
• Petry, N. M. (2010). Pathological gambling and the DSM-V. International Gambling Studies, 10, 113-115.
• Rachlin, H. (1990). Why do people gamble and keep gambling despite heavy losses? Psychological Science, 1, 294-297.
• Rescorla, R. A. y Wagner, A. R. (1972). A theory of Pavlovian conditioning: variations in the effectiveness of reinforcement and non reinforcement. En A. H. Black y W. F. Prokasy (Eds.), Classical conditioning II: current researchand theory (pp. 64-99) New York: Appleton-Century-Crofts.
• Reuter, J., Raedler, T., Rose, M., Hand, I., Gläscher, J. y Büchel, C. (2005). Pathological gambling is linked to reduced activation of the mesolimbic reward system. Nature Neuroscience, 8, 147-148.
• Robinson, T. E. y Berridge, K. C. (2008) The incentive sensitization theory of addiction: some current issues. Philosophical Transactions of The Royal Society 363, 3137-3146.
• Roney, C. J. y Sansone, N. (2014). Explaining the gambler’s fallacy: Testing a gestalt explanation versus the “law of small numbers”. Thinking & Reasoning, 1-13.
• Ross, D., Sharp, C., Vuchinich, R. y Spurrett, D. (2008). Midbrain Mutiny: The Picoeconomics and Neuroeconomics of Disordered Gambling. Economic Theory and Cognitive Science. Cambridge, Massachusetts: A Bradford Book, The MIT Press.
• Schultz, W. (2007) Multiple dopamine functions at different time courses. Annual Review of Neuroscience. 30, 259-288.
• Schultz, W. (2011). Potential vulnerabilities of neuronal reward, risk, and decision mechanisms to addictive drugs. Neuron 69, 603–617.
• Schultz, W., Dayan, P. y Montague, R. R. (1997). A neural substrate of prediction and reward. Science 275, 1593–1599.
• Sevilla, J. y Pastor, C. (1996). Tratamiento Psicológico de la Depresión. Un manual de autoayuda paso a paso. Valencia: Publicaciones del Centro de Terapia de Conducta.
• Sutton, R. S. y Barto, A. G. (1998). Introduction to reinforcement learning. Cambridge, Massachusetts: A Bradford Book, The MIT Press.
• Tochkov, K. (2012). No regrets? Mood and the anticipation of emotions in problem gambling. International Gambling Studies, 12, 39-53.
• Tolchard, B., Thomas, L. y Battersby, M. (2006). Single-session exposure therapy for problem gambling: A single-case experimental design. Behaviour Change, 23, 148-155.
• Toneatto, T. (1999). Cognitive psychopathology of problem gambling. Substance Use y Misuse, 34, 1593-1604.
• Torres, A., Catena, A., Cándido, A., Maldonado, A., Megías, A. y 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.
• Turner, N. E., Zangeneh, M. y Littman-Sharp, N. (2006). The experience of gambling and its role in problem gambling. International Gambling Studies, 6, 237-266.
• Vanes, L. D., Holst, R. J., Jansen, J. M., Brink, W., Oosterlaan, J. y Goudriaan, A. E. (2014). Contingency Learning in Alcohol Dependence and Pathological Gambling: Learning and Unlearning Reward Contingencies. Alcoholism: Clinical and Experimental Research, 38, 1602-1610.
• Van Holst, R. J., van den Brink, W., Veltman, D. J. y Goudriaan, A. E. (2010). Why gamblers fail to win: a review of cognitive and neuroimaging findings in pathological gambling. Neuroscience & Biobehavioral Reviews, 34(1), 87-107.
• Van Holst, R. J., Van Holstein, M., Van Den Brink, W., Veltman, D. J. y Goudriaan, A. E. (2012). Response inhibition during cue reactivity in problem gamblers: an fMRI study. Plos one, 7(3), e30909.
• Volkow, N. D. y Li, T. K. (2005). Drugs and alcohol: Treating and preventing abuse, addiction and their medical consequences. Pharmacology & Therapeutics, 108, 3-17.
• Wiers, R. W., Gladwin, T. E., Hofmann, W., Salemink, E. y 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, 192-212.
• Wilson, R. C., Takahashi, Y. K., Schoenbaum, G. y Niv, Y. (2014). Orbitofrontal cortex as a cognitive map of task space. Neuron, 81, 267-279.