Regional grey matter volume correlates of gambling disorder, gambling-related cognitive distortions, and emotion-driven impulsivity

References

• Albein-Urios, N., Martinez-González, J. M., Lozano, Ó., Clark, L., & Verdejo-García, A. (2012). Comparison of impulsivity and working memory in cocaine addiction and pathological gambling: Implications for cocaine-induced neurotoxicity. Drug and Alcohol Dependence, 126, 1–6.10.1016/j.drugalcdep.2012.03.008
   PubMed Web of Science ®Google Scholar
• Albein-Urios, N., Martínez-González, J. M., Lozano, Ó., Moreno-López, L., Soriano-Mas, C., & Verdejo-Garcia, A. (2013). Negative urgency, disinhibition and reduced temporal pole gray matter characterize the comorbidity of cocaine dependence and personality disorders. Drug and Alcohol Dependence, 132, 231–237.10.1016/j.drugalcdep.2013.02.008
   PubMed Web of Science ®Google Scholar
• American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). American Psychiatric Pub, Washington, DC: APA.
   Google Scholar
• Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014). Inhibition and the right inferior frontal cortex: One decade on. Trends in Cognitive Sciences, 18, 177–185.10.1016/j.tics.2013.12.003
   PubMed Web of Science ®Google Scholar
• Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38, 95–113.10.1016/j.neuroimage.2007.07.007
   PubMed Web of Science ®Google Scholar
• Ashburner, J., & Friston, K. J. (2000). Voxel-based morphometry – The methods. NeuroImage, 11, 805–821.10.1006/nimg.2000.0582
   PubMed Web of Science ®Google Scholar
• Bechara, A., & Damasio, A. R. (2005). The somatic marker hypothesis: A neural theory of economic decision. Games and Economic Behavior, 52, 336–372.10.1016/j.geb.2004.06.010
   Web of Science ®Google Scholar
• Becoña, E., & Vázquez, F. L. (1998). The Fagerström test for nicotine dependence in a Spanish sample. Psychological Reports, 83, 1455–1458.
   PubMed Web of Science ®Google Scholar
• Bennett, C. M., Wolford, G. L., & Miller, M. B. (2009). The principled control of false positives in neuroimaging. Social Cognitive and Affective Neuroscience, 4, 417–422.10.1093/scan/nsp053
   PubMed Web of Science ®Google Scholar
• Berg, J. M., Latzman, R. D., Bliwise, N. G., & Lilienfeld, S. O. (2015). Parsing the heterogeneity of impulsivity: A meta-analytic review of the behavioral implications of the UPPS for psychopathology. Psychological Assessment, 27, 1129–1146.10.1037/pas0000111
   PubMed Web of Science ®Google Scholar
• Billieux, J., Gay, P., Rochat, L., & Van der Linden, M. (2010). The role of urgency and its underlying psychological mechanisms in problematic behaviours. Behaviour Research and Therapy, 48, 1085–1096.10.1016/j.brat.2010.07.008
   PubMed Web of Science ®Google Scholar
• 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, 291–296.10.1016/j.psychres.2012.01.001
   PubMed Web of Science ®Google Scholar
• Blaszczynski, A., & Nower, L. (2002). A model of problem and pathological gambling. Addiction, 97, 487–499.10.1046/j.1360-0443.2002.00015.x
   PubMed Web of Science ®Google Scholar
• Bøen, E., Hummelen, B., Elvsåshagen, T., Boye, B., Andersson, S., Karterud, S., & Malt, U. F. (2015). Different impulsivity profiles in borderline personality disorder and bipolar II disorder. Journal of Affective Disorders, 170, 104–111.10.1016/j.jad.2014.08.033
   PubMed Web of Science ®Google Scholar
• Bolla, K., Ernst, M., Kiehl, K., Mouratidis, M., Eldreth, D., Contoreggi, C., … Funderburk, F. (2004). Prefrontal cortical dysfunction in abstinent cocaine abusers. The Journal of Neuropsychiatry and Clinical Neurosciences, 16, 456–464.10.1176/jnp.16.4.456
   PubMed Web of Science ®Google Scholar
• Button, K. S., Ioannidis, J. P., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S., & Munafò, M. R. (2013). Power failure: Why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience, 14, 365–376.10.1038/nrn3475
   PubMed Web of Science ®Google Scholar
• Cándido, A., Orduña, E., Perales, J. C., Verdejo-García, A., & Billieux, J. (2012). Validation of a short Spanish version of the UPPS-P impulsive behaviour scale. Trastornos Adictivos, 14, 73–78.10.1016/S1575-0973(12)70048-X
   Google Scholar
• Castellanos-Ryan, N., Struve, M., Whelan, R., Banaschewski, T., Barker, G. J., Bokde, A. L., … The IMAGEN Consortium. (2014). Neural and cognitive correlates of the common and specific variance across externalizing problems in young adolescence. American Journal of Psychiatry, 171, 1310–1319.10.1176/appi.ajp.2014.13111499
   PubMed Web of Science ®Google Scholar
• Chase, H. W., & Clark, L. (2010). Gambling severity predicts midbrain response to near-miss outcomes. Journal of Neuroscience, 30, 6180–6187.10.1523/JNEUROSCI.5758-09.2010
   PubMed Web of Science ®Google Scholar
• Clark, L., Lawrence, A. J., Astley-Jones, F., & Gray, N. (2009). Gambling near-misses enhance motivation to gamble and recruit win-related brain circuitry. Neuron, 61, 481–490.10.1016/j.neuron.2008.12.031
   PubMed Web of Science ®Google Scholar
• Clark, L., Stokes, P. R., Wu, K., Michalczuk, R., Benecke, A., Watson, B. J., … Lingford-Hughes, A. R. (2012). Striatal dopamine D(2)/D(3) receptor binding in pathological gambling is correlated with mood-related impulsivity. NeuroImage, 63, 40–46.10.1016/j.neuroimage.2012.06.067
   PubMed Web of Science ®Google Scholar
• Clark, L., Studer, B., Bruss, J., Tranel, D., & Bechara, A. (2014). Damage to insula abolishes cognitive distortions during simulated gambling. Proceedings of the National Academy of Sciences, 111, 6098–6103.10.1073/pnas.1322295111
   PubMed Web of Science ®Google Scholar
• Contreras-Rodríguez, O., Albein-Urios, N., Vilar‐López, R., Perales, J. C., Martínez‐Gonzalez, J. M., Fernández‐Serrano, M. J., … Verdejo‐García, A. (2016). Increased corticolimbic connectivity in cocaine dependence versus pathological gambling is associated with drug severity and emotion-related impulsivity. Addiction Biology, 21, 709–718.10.1111/adb.12242
   PubMed Web of Science ®Google Scholar
• Coombes, S. A., Corcos, D. M., Pavuluri, M. N., & Vaillancourt, D. E. (2012). Maintaining force control despite changes in emotional context engages dorsomedial prefrontal and premotor cortex. Cerebral Cortex, 22, 616–627.10.1093/cercor/bhr141
   PubMed Web of Science ®Google Scholar
• Cousijn, J., Wiers, R. W., Ridderinkhof, K. R., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2012). Grey matter alterations associated with cannabis use: Results of a VBM study in heavy cannabis users and healthy controls. NeuroImage, 59, 3845–3851.10.1016/j.neuroimage.2011.09.046
   PubMed Web of Science ®Google Scholar
• Cyders, M. A., & Smith, G. T. (2008). Emotion-based dispositions to rash action: Positive and negative urgency. Psychological Bulletin, 134, 807–828.10.1037/a0013341
   PubMed Web of Science ®Google Scholar
• Daumann, J., Koester, P., Becker, B., Wagner, D., Imperati, D., Gouzoulis-Mayfrank, E., & Tittgemeyer, M. (2011). Medial prefrontal gray matter volume reductions in users of amphetamine-type stimulants revealed by combined tract-based spatial statistics and voxel-based morphometry. NeuroImage, 54, 794–801.10.1016/j.neuroimage.2010.08.065
   PubMed Web of Science ®Google Scholar
• Dawe, S., & Loxton, N. J. (2004). The role of impulsivity in the development of substance use and eating disorders. Neuroscience & Biobehavioral Reviews, 28, 343–351.10.1016/j.neubiorev.2004.03.007
   PubMed Web of Science ®Google Scholar
• 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, 1027–1038.10.1038/npp.2008.175
   PubMed Web of Science ®Google Scholar
• Del Prete, F., Steward, T., Navas, J. F., Fernández-Aranda, F., Jiménez-Murcia, S., Oei, T. P., & Perales, J. C. (2017). The role of affect-driven impulsivity in gambling cognitions: A convenience-sample study with a Spanish version of the Gambling-Related Cognitions Scale. Journal of Behavioral Addictions, 6, 51–63.10.1556/2006.6.2017.001
   PubMed Web of Science ®Google Scholar
• De Wit, S. J., Alonso, P., Schweren, L., Mataix-Cols, D., Lochner, C., Menchón, J. M., …Hoexter, M. Q. (2014). Multicenter voxel-based morphometry mega-analysis of structural brain scans in obsessive-compulsive disorder. American Journal of Psychiatry, 171, 340–349.10.1176/appi.ajp.2013.13040574
   PubMed Web of Science ®Google Scholar
• Donati, M. A., Ancona, F., Chiesi, F., & Primi, C. (2015). Psychometric properties of the Gambling Related Cognitions Scale (GRCS) in young Italian gamblers. Addictive Behaviors, 45, 1–7.10.1016/j.addbeh.2015.01.001
   PubMed Web of Science ®Google Scholar
• Echeburúa, E., Báez, C., Fernández-Montalvo, J., & Páez , D. (1994). Cuestionario de juego patológico de South Oaks (SOGS): Validación española [The South Oaks Gambling Screen (SOGS): Spanish validation]. Análisis y Modificación de Conducta, 20, 769–791.
   Google Scholar
• Egan, T. E., Dawson, A. E., & Wymbs, B. T. (2017). Substance use in undergraduate students with histories of Attention-Deficit/Hyperactivity Disorder (ADHD): The role of impulsivity. Substance Use & Misuse, 52, 1375–1386.10.1080/10826084.2017.1281309
   PubMed Web of Science ®Google Scholar
• Eldreth, D. A., Matochik, J. A., Cadet, J. L., & Bolla, K. I. (2004). Abnormal brain activity in prefrontal brain regions in abstinent marijuana users. NeuroImage, 23, 914–920.10.1016/j.neuroimage.2004.07.032
   PubMed Web of Science ®Google Scholar
• Etkin, A., Büchel, C., & Gross, J. J. (2015). The neural bases of emotion regulation. Nature Reviews Neuroscience, 16, 693–700.10.1038/nrn4044
   PubMed Web of Science ®Google Scholar
• Fischer, S., Settles, R., Collins, B., Gunn, R., & Smith, G. T. (2012). The role of negative urgency and expectancies in problem drinking and disordered eating: Testing a model of comorbidity in pathological and at-risk samples. Psychology of Addictive Behaviors, 26, 112–123.10.1037/a0023460
   PubMed Web of Science ®Google Scholar
• Friston, K. J., Frith, C. D., Dolan, R. J., Price, C. J., Zeki, S., Ashburner, J. T., & Penny, W. D. (Eds.). (2004). Human brain function. San Diego, CA: Academic Press.
   Google Scholar
• Fritz, H. C., Wittfeld, K., Schmidt, C. O., Domin, M., Grabe, H. J., Hegenscheid, K., … Lotze, M. (2014). Current smoking and reduced gray matter volume-a voxel-based morphometry study. Neuropsychopharmacology, 39, 2594–2600.10.1038/npp.2014.112
   PubMed Web of Science ®Google Scholar
• Fu, L. P., Bi, G. H., Zou, Z. T., Wang, Y., Ye, E. M., Ma, L., … Yang, Z. (2008). Impaired response inhibition function in abstinent heroin dependents: An fMRI study. Neuroscience Letters, 438, 322–326.10.1016/j.neulet.2008.04.033
   PubMed Web of Science ®Google Scholar
• Fuentes, D., Rzezak, P., Pereira, F. R., Malloy-Diniz, L. F., Santos, L. C., Duran, F. L., … Gorenstein, C. (2015). Mapping brain volumetric abnormalities in never-treated pathological gamblers. Psychiatry Research: Neuroimaging, 232, 208–213.10.1016/j.pscychresns.2015.04.001
   PubMed Web of Science ®Google Scholar
• Gläscher, J., Adolphs, R., Damasio, H., Bechara, A., Rudrauf, D., Calamia, M., … Tranel, D. (2012). Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex. Proceedings of the National Academy of Sciences, 109, 14681–14686.10.1073/pnas.1206608109
   PubMed Web of Science ®Google Scholar
• Gonçalves, J., Baptista, S., & Silva, A. P. (2014). Psychostimulants and brain dysfunction: A review of the relevant neurotoxic effects. Neuropharmacology, 87, 135–149.10.1016/j.neuropharm.2014.01.006
   PubMed Web of Science ®Google Scholar
• Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N., Friston, K. J., & Frackowiak, R. S. (2001). A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage, 14, 21–36.10.1006/nimg.2001.0786
   PubMed Web of Science ®Google Scholar
• 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, 491–503.10.1111/adb.2010.15.issue-4
   PubMed Web of Science ®Google Scholar
• Grall-Bronnec, M., Bouju, G., Sébille-Rivain, V., Gorwood, P., Boutin, C., Vénisse, J. L., & Hardouin, J. B. (2012). A French adaptation of the Gambling-Related Cognitions Scale (GRCS): A useful tool for assessment of irrational thoughts among gamblers. Journal of Gambling Issues, 27, 1–21.
   Google Scholar
• Grant, J. E., Odlaug, B. L., & Chamberlain, S. R. (2015). Reduced cortical thickness in gambling disorder: A morphometric MRI study. European Archives of Psychiatry and Clinical Neuroscience, 265, 655–661.10.1007/s00406-015-0592-2
   PubMed Web of Science ®Google Scholar
• Grant, J. E., Odlaug, B. L., & Chamberlain, S. R. (2016). Neural and psychological underpinnings of gambling disorder: A review. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 65, 188–193.10.1016/j.pnpbp.2015.10.007
   PubMed Web of Science ®Google Scholar
• Hayasaka, S., Phan, K. L., Liberzon, I., Worsley, K. J., & Nichols, T. E. (2004). Nonstationary cluster-size inference with random field and permutation methods. NeuroImage, 22, 676–687.10.1016/j.neuroimage.2004.01.041
   PubMed Web of Science ®Google Scholar
• Hodgins, D. C., Stea, J. N., & Grant, J. E. (2011). Gambling disorders. The Lancet, 378, 1874–1884.10.1016/S0140-6736(10)62185-X
   PubMed Web of Science ®Google Scholar
• Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. Science, 310, 1680–1683.10.1126/science.1115327
   PubMed Web of Science ®Google Scholar
• Johnson, S. L., Carver, C. S., & Joormann, J. (2013). Impulsive responses to emotion as a transdiagnostic vulnerability to internalizing and externalizing symptoms. Journal of Affective Disorders, 150, 872–878.10.1016/j.jad.2013.05.004
   PubMed Web of Science ®Google Scholar
• Johnson, S. L., Tharp, J. A., Peckham, A. D., Carver, C. S., & Haase, C. M. (2017). A path model of different forms of impulsivity with externalizing and internalizing psychopathology: Towards greater specificity. British Journal of Clinical Psychology, 56, 235–252.10.1111/bjc.2017.56.issue-3
   PubMed Web of Science ®Google Scholar
• Joukhador, J., Maccallum, F., & Blaszczynski, A. (2003). Differences in cognitive distortions between problem and social gamblers. Psychological Reports, 92, 1203–1214.10.2466/pr0.2003.92.3c.1203
   PubMed Web of Science ®Google Scholar
• Joutsa, J., Saunavaara, J., Parkkola, R., Niemelä, S., & Kaasinen, V. (2011). Extensive abnormality of brain white matter integrity in pathological gambling. Psychiatry Research: Neuroimaging, 194, 340–346.10.1016/j.pscychresns.2011.08.001
   PubMed Web of Science ®Google Scholar
• Kazemi, K., & Noorizadeh, N. (2014). Quantitative comparison of SPM, FSL, and Brainsuite for brain MR Image segmentation. Journal of Biomedical Physics & Engineering, 4, 13–26.
   PubMedGoogle Scholar
• Kim, S. H., & Hamann, S. (2007). Neural correlates of positive and negative emotion regulation. Journal of Cognitive Neuroscience, 19, 776–798.10.1162/jocn.2007.19.5.776
   PubMed Web of Science ®Google Scholar
• Koehler, S., Hasselmann, E., Wüstenberg, T., Heinz, A., & Romanczuk-Seiferth, N. (2015). Higher volume of ventral striatum and right prefrontal cortex in pathological gambling. Brain Structure and Function, 220, 469–477.10.1007/s00429-013-0668-6
   PubMed Web of Science ®Google Scholar
• Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry, 144, 1184–1188.
   PubMed Web of Science ®Google Scholar
• Lieberman, M. D., Berkman, E. T., & Wager, T. D. (2009). Correlations in social neuroscience aren't voodoo: Commentary on Vul et al. (2009). Perspectives on Psychological Science, 4, 299–307.10.1111/j.1745-6924.2009.01128.x
   Web of Science ®Google Scholar
• Lieberman, M. D., & Cunningham, W. A. (2009). Type I and Type II error concerns in fMRI research: Re-balancing the scale. Social Cognitive and Affective Neuroscience, 4, 423–428.10.1093/scan/nsp052
   PubMed Web of Science ®Google Scholar
• Love, J., Selker, R., Verhagen, J., Marsman, M., Gronau, Q. F., Jamil, T., … Matzke, D. (2015). Software to sharpen your stats. APS Observer, 28(3), 27–29.
   Google Scholar
• MacLaren, V. V., Fugelsang, J. A., Harrigan, K. A., & Dixon, M. J. (2011). The personality of pathological gamblers: A meta-analysis. Clinical Psychology Review, 31, 1057–1067.10.1016/j.cpr.2011.02.002
   PubMed Web of Science ®Google Scholar
• McBride, D., Barrett, S. P., Kelly, J. T., Aw, A., & Dagher, A. (2006). Effects of expectancy and abstinence on the neural response to smoking cues in cigarette smokers: An fMRI Study. Neuropsychopharmacology, 31, 2728–2738.10.1038/sj.npp.1301075
   PubMed Web of Science ®Google Scholar
• Megías, A., Navas, J. F., Perandrés-Gómez, A., Maldonado, A., Catena, A., & Perales, J. C. (in press). Electroencephalographic evidence of abnormal anticipatory uncertainty processing in gambling disorder patients. Journal of Gambling Studies. https://link.springer.com/article/10.1007/s10899-017-9693-3
   Web of Science ®Google Scholar
• Michalczuk, R., Bowden-Jones, H., Verdejo-Garcia, A., & Clark, L. (2011). Impulsivity and cognitive distortions in pathological gamblers attending the UK National Problem Gambling Clinic: A preliminary report. Psychological Medicine, 41, 2625–2635.10.1017/S003329171100095X
   PubMed Web of Science ®Google Scholar
• Navas, J. F., Verdejo-García, A., López-Gómez, M., Maldonado, A., & Perales, J. C. (2016). Gambling with rose-tinted glasses on: use of emotion-regulation strategies correlates with dysfunctional cognitions in gambling disorder patients. Journal of Behavioral Addictions, 5, 271–281.10.1556/2006.5.2016.040
   PubMed Web of Science ®Google Scholar
• Navas, J. F., Billieux, J., Perandrés-Gómez, A., López-Torrecillas, F., Cándido, A., & Perales, J. C. (2017a). Impulsivity traits and gambling cognitions associated with gambling preferences and clinical status. International Gambling Studies, 17, 102–124.10.1080/14459795.2016.1275739
   Web of Science ®Google Scholar
• Navas, J. F., Contreras‐Rodríguez, O., Verdejo‐Román, J., Perandrés‐Gómez, A., Albein-Urios, N., Verdejo‐García, A., & Perales, J. C. (2017b). Trait and neurobiological underpinnings of negative emotion regulation in gambling disorder. Addiction, 112, 1086–1094.10.1111/add.13751
   PubMed Web of Science ®Google Scholar
• Navas, J. F., Billieux, J., Verdejo-García, A., & Perales, J. C. (2018). A neurocognitive approach to core components of gambling disorder: Implications for assessment, treatment and policy. In H. Bowden-Jones, C. Dickson, C. Dunand, & O. Simon (Eds.), Harm reduction for problem gambling: A public health approach. (Accepted). Routledge (due by June, 2018).
   Google Scholar
• Nichols, T. E. (2012). Multiple testing corrections, nonparametric methods, and random field theory. NeuroImage, 62, 811–815.10.1016/j.neuroimage.2012.04.014
   PubMed Web of Science ®Google Scholar
• Ochsner, K. N., Ray, R. D., Cooper, J. C., Robertson, E. R., Chopra, S., Gabrieli, J. D., & Gross, J. J. (2004). For better or for worse: Neural systems supporting the cognitive down-and up-regulation of negative emotion. NeuroImage, 23, 483–499.10.1016/j.neuroimage.2004.06.030
   PubMed Web of Science ®Google Scholar
• Pattij, T., & De Vries, T. J. (2013). The role of impulsivity in relapse vulnerability. Current Opinion in Neurobiology, 23, 700–705.10.1016/j.conb.2013.01.023
   PubMed Web of Science ®Google Scholar
• Pedrero Pérez, E. J., Rodríguez Monje, M. T., Gallardo Alonso, F., Fernández Girón, M., Pérez López, M., & Chicharro Romero, J. (2007). Validación de un instrumento para la detección de trastornos de control de impulsos y adicciones: El MULTICAGE CAD-4 [Validation of a tool for screening of impulse control disorders and addiction: MULTICAGE CAD-4]. Trastornos Adictivos, 9, 269–278.10.1016/S1575-0973(07)75656-8
   Google Scholar
• Perales, J. C., Navas, J. F., Ruiz de Lara, C. M., Maldonado, A., & Catena, A. (2017). Causal learning in gambling disorder: Beyond the illusion of control. Journal of Gambling Studies, 33, 705–717.10.1007/s10899-016-9634-6
   PubMed Web of Science ®Google Scholar
• Perry, J. L., & Carroll, M. E. (2008). The role of impulsive behavior in drug abuse. Psychopharmacology, 200, 1–26.10.1007/s00213-008-1173-0
   PubMed Web of Science ®Google Scholar
• Phan, K. L., Taylor, S. F., Welsh, R. C., Ho, S. H., Britton, J. C., & Liberzon, I. (2004). Neural correlates of individual ratings of emotional salience: A trial-related fMRI study. NeuroImage, 21, 768–780.10.1016/j.neuroimage.2003.09.072
   PubMed Web of Science ®Google Scholar
• Pujol, J., Soriano-Mas, C., Alonso, P., Cardoner, N., Menchón, J. M., Deus, J., & Vallejo, J. (2004). Mapping structural brain alterations in obsessive-compulsive disorder. Archives of General Psychiatry, 61, 720–730.10.1001/archpsyc.61.7.720
   PubMed Web of Science ®Google Scholar
• Radua, J., Canales-Rodríguez, E. J., Pomarol-Clotet, E., & Salvador, R. (2014). Validity of modulation and optimal settings for advanced voxel-based morphometry. NeuroImage, 86, 81–90.10.1016/j.neuroimage.2013.07.084
   PubMed Web of Science ®Google Scholar
• Rahman, A. S., Xu, J., & Potenza, M. N. (2014). Hippocampal and amygdalar volumetric differences in pathological gambling: A preliminary study of the associations with the behavioral inhibition system. Neuropsychopharmacology, 39, 738–745.10.1038/npp.2013.260
   PubMed Web of Science ®Google Scholar
• Raylu, N., & Oei, T. P. (2004). The Gambling Related Cognitions Scale (GRCS): Development, confirmatory factor validation and psychometric properties. Addiction, 99, 757–769.10.1111/add.2004.99.issue-6
   PubMed Web of Science ®Google Scholar
• Ridgway, G. R., Omar, R., Ourselin, S., Hill, D. L., Warren, J. D., & Fox, N. C. (2009). Issues with threshold masking in voxel-based morphometry of atrophied brains. NeuroImage, 44, 99–111.10.1016/j.neuroimage.2008.08.045
   PubMed Web of Science ®Google Scholar
• Rogers, R. D., Ramnani, N., Mackay, C., Wilson, J. L., Jezzard, P., Carter, C. S., & Smith, S. M. (2004). Distinct portions of anterior cingulate cortex and medial prefrontal cortex are activated by reward processing in separable phases of decision-making cognition. Biological Psychiatry, 55, 594–602.10.1016/j.biopsych.2003.11.012
   PubMed Web of Science ®Google Scholar
• Sanz, J., Perdigón, A. L., & Vázquez, C. (2003). Adaptación española del Inventario para la Depresión de Beck-II (BDI-II): 2. Propiedades psicométricas en población general [Spanish adaptation of the Beck Depression Inventory-II (BDI-II): 2. Psychometric features in the general population]. Clínica y Salud, 14, 249–280.
   Google Scholar
• Savvidou, L. G., Fagundo, A. B., Fernández-Aranda, F., Granero, R., Claes, L., Mallorquí-Baqué, N., … Jiménez-Murcia, S. (2017). Is gambling disorder associated with impulsivity traits measured by the UPPS-P and is this association moderated by sex and age? Comprehensive Psychiatry, 72, 106–113.10.1016/j.comppsych.2016.10.005
   PubMed Web of Science ®Google Scholar
• Sescousse, G., Janssen, L. K., Hashemi, M. M., Timmer, M. H., Geurts, D. E., ter Huurne, N. P., … Cools, R. (2016). Amplified striatal responses to near-miss outcomes in pathological gamblers. Neuropsychopharmacology, 41, 2614–2623.10.1038/npp.2016.43
   PubMed Web of Science ®Google Scholar
• Shenhav, A., Cohen, J. D., & Botvinick, M. M. (2016). Dorsal anterior cingulate cortex and the value of control. Nature Neuroscience, 19, 1286–1291.10.1038/nn.4384
   PubMed Web of Science ®Google Scholar
• Steward, T., Mestre-Bach, G., Fernández-Aranda, F., Granero, R., Perales, J. C., Navas, J. F., … Jiménez-Murcia, S. (2017). Delay discounting and impulsivity traits in young and older gambling disorder patients. Addictive Behaviors, 71, 96–103.10.1016/j.addbeh.2017.03.001
   PubMed Web of Science ®Google Scholar
• Subramaniam, M., Chong, S. A., Browning, C., & Thomas, S. (2017). Cognitive distortions among older adult gamblers in an Asian context. PLoS One, 12, e0178036.10.1371/journal.pone.0178036
   PubMed Web of Science ®Google Scholar
• Tolomeo, S., Gray, S., Matthews, K., Steele, J. D., & Baldacchino, A. (2016). Multifaceted impairments in impulsivity and brain structural abnormalities in opioid dependence and abstinence. Psychological Medicine, 46, 2841–2853.10.1017/S0033291716001513
   PubMed Web of Science ®Google Scholar
• Torres, A., Catena, A., Megías, A., Maldonado, A., Cándido, A., Verdejo-García, A., & Perales, J. C. (2013). Emotional and non-emotional pathways to impulsive behavior and addiction. Frontiers in Human Neuroscience, 7, 43.
   PubMed Web of Science ®Google Scholar
• van Holst, R. J., Chase, H. W., & Clark, L. (2014). Striatal connectivity changes following gambling wins and near-misses: Associations with gambling severity. NeuroImage: Clinical, 5, 232–239.10.1016/j.nicl.2014.06.008
   PubMed Web of Science ®Google Scholar
• van Holst, R. J., de Ruiter, M. B., van den Brink, W., Veltman, D. J., & Goudriaan, A. E. (2012). A voxel-based morphometry study comparing problem gamblers, alcohol abusers, and healthy controls. Drug and Alcohol Dependence, 124, 142–148.10.1016/j.drugalcdep.2011.12.025
   PubMed Web of Science ®Google Scholar
• Verdejo-García, A., Lawrence, A. J., & Clark, L. (2008). Impulsivity as a vulnerability marker for substance-use disorders: Review of findings from high-risk research, problem gamblers and genetic association studies. Neuroscience and Biobehavioral Reviews, 32, 777–810.10.1016/j.neubiorev.2007.11.003
   PubMed Web of Science ®Google Scholar
• Vul, E., Harris, C., Winkielman, P., & Pashler, H. (2009). Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Perspectives on Psychological Science, 4, 274–290.10.1111/j.1745-6924.2009.01125.x
   Web of Science ®Google Scholar
• Wager, T. D., Davidson, M. L., Hughes, B. L., Lindquist, M. A., & Ochsner, K. N. (2008). Prefrontal-subcortical pathways mediating successful emotion regulation. Neuron, 59, 1037–1050.10.1016/j.neuron.2008.09.006
   PubMed Web of Science ®Google Scholar
• Wechsler, D. (2008). Wechsler adult intelligence scale adult intelligence scale. San Antonio, TX: NCS Pearson.
   Google Scholar
• Weiland, B. J., Heitzeg, M. M., Zald, D., Cummiford, C., Love, T., Zucker, R. A., & Zubieta, J. K. (2014). Relationship between impulsivity, prefrontal anticipatory activation, and striatal dopamine release during rewarded task performance. Psychiatry Research: Neuroimaging, 223, 244–252.10.1016/j.pscychresns.2014.05.015
   PubMed Web of Science ®Google Scholar
• 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, 669–689.10.1016/S0191-8869(00)00064-7
   Web of Science ®Google Scholar
• Whiteside, S. P., Lynam, D. R., Miller, J. D., & Reynolds, S. K. (2005). Validation of the UPPS impulsive behaviour scale: A four-factor model of impulsivity. European Journal of Personality, 19, 559–574.10.1002/(ISSN)1099-0984
   Web of Science ®Google Scholar
• Xian, H., Shah, K. R., Phillips, S. M., Scherrer, J. F., Volberg, R., & Eisen, S. A. (2008). The association of cognitive distortions with problem and pathological gambling in adult male twins. Psychiatry Research, 160, 300–307.10.1016/j.psychres.2007.08.007
   PubMed Web of Science ®Google Scholar
• Xue, G., Juan, C. H., Chang, C. F., Lu, Z. L., & Dong, Q. (2012). Lateral prefrontal cortex contributes to maladaptive decisions. Proceedings of the National Academy of Sciences, 109, 4401–4406.10.1073/pnas.1111927109
   PubMed Web of Science ®Google Scholar
• Xue, G., Lu, Z., Levin, I. P., Weller, J. A., Li, X., & Bechara, A. (2009). Functional dissociations of risk and reward processing in the medial prefrontal cortex. Cerebral Cortex, 19, 1019–1027.10.1093/cercor/bhn147
   PubMed Web of Science ®Google Scholar
• Yan, W. S., Zhang, R. R., Lan, Y., Li, Y. H., & Sui, N. (2016). Comparison of impulsivity in non-problem, at-risk and problem gamblers. Scientific Reports, 6, 39233.10.1038/srep39233
   PubMed Web of Science ®Google Scholar
• Zois, E., Kiefer, F., Lemenager, T., Vollstädt‐Klein, S., Mann, K., & Fauth‐Bühler, M. (2017). Frontal cortex gray matter volume alterations in pathological gambling occur independently from substance use disorder. Addiction Biology, 22, 864–872.10.1111/adb.2017.22.issue-3
   PubMed Web of Science ®Google Scholar