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

ABSTRACT Reports of regional grey matter volume (GMV) anomalies in patients with gambling disorder (PGD) are inconsistent, which can be attributed to methodological disparity and inattention to individual variability. Voxel-based morphometry was used to compare GMV between 25 PGD and 25 healthy controls. Additionally, the study explored associations of interpretative bias (IB, the tendency to reinterpret gambling outcomes) and negative urgency (NU, the tendency to act rashly under negative affect) with GMV in patients. These measures were chosen based on their sound association with gambling disorder in related studies. GMV tests were corrected across the whole brain (using a combination of voxel and cluster-level thresholds for a clusterwise-equivalent p ≤ 0.05). GMV was smaller in PGD than in controls in the dorsomedial prefrontal cortex. In PGD, a stronger cognitive distortion (higher IB) was associated with reduced GMV in the dorsal anterior cingulate; and patients with higher levels of impulsivity (higher NU) presented reduced GMV in the right ventrolateral prefrontal cortex. These findings are consistent with recent studies exploring individual differences in GD. However, the area discriminating between groups showed no overlap with the ones associated with IB and NU. These traits are thus unlikely to be responsible for between-group GMV differences.

[1]  A. Maldonado,et al.  Electroencephalographic Evidence of Abnormal Anticipatory Uncertainty Processing in Gambling Disorder Patients , 2018, Journal of Gambling Studies.

[2]  C. Soriano-Mas,et al.  Delay discounting and impulsivity traits in young and older gambling disorder patients. , 2017, Addictive behaviors.

[3]  J. Perales,et al.  Trait and neurobiological underpinnings of negative emotion regulation in gambling disorder , 2017, Addiction.

[4]  A. Maldonado,et al.  Causal Learning in Gambling Disorder: Beyond the Illusion of Control , 2017, Journal of Gambling Studies.

[5]  C. Browning,et al.  Cognitive distortions among older adult gamblers in an Asian context , 2017, PloS one.

[6]  Sheri L. Johnson,et al.  A path model of different forms of impulsivity with externalizing and internalizing psychopathology: Towards greater specificity , 2017, The British journal of clinical psychology.

[7]  M. Fauth-Bühler,et al.  Frontal cortex gray matter volume alterations in pathological gambling occur independently from substance use disorder , 2017, Addiction biology.

[8]  Brian T. Wymbs,et al.  Substance Use in Undergraduate Students With Histories of Attention-Deficit/Hyperactivity Disorder (ADHD): The Role of Impulsivity , 2017, Substance use & misuse.

[9]  F. Fernández-Aranda,et al.  The role of affect-driven impulsivity in gambling cognitions: A convenience-sample study with a Spanish version of the Gambling-Related Cognitions Scale , 2017, Journal of behavioral addictions.

[10]  J. Billieux,et al.  Impulsivity traits and gambling cognitions associated with gambling preferences and clinical status , 2017 .

[11]  Wan-Sen Yan,et al.  Comparison of impulsivity in non-problem, at-risk and problem gamblers , 2016, Scientific Reports.

[12]  Jonathan D. Cohen,et al.  Dorsal anterior cingulate cortex and the value of control , 2016, Nature Neuroscience.

[13]  K. Matthews,et al.  Multifaceted impairments in impulsivity and brain structural abnormalities in opioid dependence and abstinence , 2016, Psychological Medicine.

[14]  A. Maldonado,et al.  Gambling with Rose-Tinted Glasses on: Use of Emotion-Regulation Strategies Correlates with Dysfunctional Cognitions in Gambling Disorder Patients , 2016, Journal of behavioral addictions.

[15]  Ó. Lozano-Rojas,et al.  Increased corticolimbic connectivity in cocaine dependence versus pathological gambling is associated with drug severity and emotion‐related impulsivity , 2016, Addiction biology.

[16]  Lieneke K. Janssen,et al.  Amplified Striatal Responses to Near-Miss Outcomes in Pathological Gamblers , 2016, Neuropsychopharmacology.

[17]  J. Grant,et al.  Neural and psychological underpinnings of gambling disorder: A review , 2016, Progress in Neuro-psychopharmacology and Biological Psychiatry.

[18]  G. Busatto,et al.  Mapping brain volumetric abnormalities in never-treated pathological gamblers , 2015, Psychiatry Research: Neuroimaging.

[19]  F. Chiesi,et al.  Psychometric properties of the Gambling Related Cognitions Scale (GRCS) in young Italian gamblers. , 2015, Addictive behaviors.

[20]  Scott O Lilienfeld,et al.  Parsing the heterogeneity of impulsivity: A meta-analytic review of the behavioral implications of the UPPS for psychopathology. , 2015, Psychological assessment.

[21]  J. Grant,et al.  Reduced cortical thickness in gambling disorder: a morphometric MRI study , 2015, European Archives of Psychiatry and Clinical Neuroscience.

[22]  C. Vázquez,et al.  Adaptación española del Inventario para la Depresión de Beck-II (BDI-II): 2. Propiedades psicométricas en población general The spanish adaptation of Beck's Depression Inventory-II (BDI-II): 2. Psychometric properties in the general population , 2015 .

[23]  M. Rietschel,et al.  Neural and cognitive correlates of the common and specific variance across externalizing problems in young adolescence. , 2014, The American journal of psychiatry.

[24]  S. Baptista,et al.  Psychostimulants and brain dysfunction: A review of the relevant neurotoxic effects , 2014, Neuropharmacology.

[25]  Barbara J. Weiland,et al.  Relationship between impulsivity, prefrontal anticipatory activation, and striatal dopamine release during rewarded task performance , 2014, Psychiatry Research: Neuroimaging.

[26]  L. Clark,et al.  Striatal connectivity changes following gambling wins and near-misses: Associations with gambling severity , 2014, NeuroImage: Clinical.

[27]  K. Hegenscheid,et al.  Current Smoking and Reduced Gray Matter Volume—a Voxel-Based Morphometry Study , 2014, Neuropsychopharmacology.

[28]  D. Tranel,et al.  Damage to insula abolishes cognitive distortions during simulated gambling , 2014, Proceedings of the National Academy of Sciences.

[29]  T. Robbins,et al.  Inhibition and the right inferior frontal cortex: one decade on , 2014, Trends in Cognitive Sciences.

[30]  Kenji Fukui,et al.  Multicenter voxel-based morphometry mega-analysis of structural brain scans in obsessive-compulsive disorder. , 2014, The American journal of psychiatry.

[31]  K Kazemi,et al.  Quantitative Comparison of SPM, FSL, and Brainsuite for Brain MR Image Segmentation , 2014, Journal of biomedical physics & engineering.

[32]  Raymond Salvador,et al.  Validity of modulation and optimal settings for advanced voxel-based morphometry , 2014, NeuroImage.

[33]  M. Potenza,et al.  Hippocampal and Amygdalar Volumetric Differences in Pathological Gambling: a Preliminary Study of the Associations with the Behavioral Inhibition System , 2014, Neuropsychopharmacology.

[34]  Richard N Kocsis,et al.  Book Review: Diagnostic and Statistical Manual of Mental Disorders: Fifth Edition (DSM-5) , 2013 .

[35]  Sheri L. Johnson,et al.  Impulsive responses to emotion as a transdiagnostic vulnerability to internalizing and externalizing symptoms. , 2013, Journal of affective disorders.

[36]  C. Soriano-Mas,et al.  Negative urgency, disinhibition and reduced temporal pole gray matter characterize the comorbidity of cocaine dependence and personality disorders. , 2013, Drug and alcohol dependence.

[37]  T. Pattij,et al.  The role of impulsivity in relapse vulnerability , 2013, Current Opinion in Neurobiology.

[38]  Brian A. Nosek,et al.  Power failure: why small sample size undermines the reliability of neuroscience , 2013, Nature Reviews Neuroscience.

[39]  Alberto Megías,et al.  Emotional and non-emotional pathways to impulsive behavior and addiction , 2013, Front. Hum. Neurosci..

[40]  L. Clark,et al.  Comparison of impulsivity and working memory in cocaine addiction and pathological gambling: Implications for cocaine-induced neurotoxicity. , 2012, Drug and alcohol dependence.

[41]  David J. Nutt,et al.  Striatal dopamine D2/D3 receptor binding in pathological gambling is correlated with mood-related impulsivity , 2012, NeuroImage.

[42]  J. Hardouin,et al.  A French adaptation of the Gambling-Related Cognitions Scale (GRCS): a useful tool for assessment of irrational thoughts among gamblers , 2012 .

[43]  J. Gläscher,et al.  Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex , 2012, Proceedings of the National Academy of Sciences.

[44]  Thomas E. Nichols.  Multiple testing corrections, nonparametric methods, and random field theory , 2012, NeuroImage.

[45]  M. Linden,et al.  Investigation of impulsivity in a sample of treatment-seeking pathological gamblers: A multidimensional perspective , 2012, Psychiatry Research.

[46]  W. van den Brink,et al.  A voxel-based morphometry study comparing problem gamblers, alcohol abusers, and healthy controls. , 2012, Drug and alcohol dependence.

[47]  C. Juan,et al.  Lateral prefrontal cortex contributes to maladaptive decisions , 2012, Proceedings of the National Academy of Sciences.

[48]  Gregory T. Smith,et al.  The role of negative urgency and expectancies in problem drinking and disordered eating: testing a model of comorbidity in pathological and at-risk samples. , 2012, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[49]  Reinout W. Wiers,et al.  Grey matter alterations associated with cannabis use: Results of a VBM study in heavy cannabis users and healthy controls , 2012, NeuroImage.

[50]  R. Parkkola,et al.  Extensive abnormality of brain white matter integrity in pathological gambling , 2011, Psychiatry Research: Neuroimaging.

[51]  D. Hodgins,et al.  Gambling disorders , 2011, The Lancet.

[52]  M. Dixon,et al.  The personality of pathological gamblers: a meta-analysis. , 2011, Clinical psychology review.

[53]  L. Clark,et al.  Impulsivity and cognitive distortions in pathological gamblers attending the UK National Problem Gambling Clinic: a preliminary report , 2011, Psychological Medicine.

[54]  D. Vaillancourt,et al.  Maintaining Force Control Despite Changes in Emotional Context Engages Dorsomedial Prefrontal and Premotor Cortex , 2011, Cerebral cortex.

[55]  Benjamin Becker,et al.  Medial prefrontal gray matter volume reductions in users of amphetamine-type stimulants revealed by combined tract-based spatial statistics and voxel-based morphometry , 2011, NeuroImage.

[56]  Joël Billieux,et al.  The role of urgency and its underlying psychological mechanisms in problematic behaviours. , 2010, Behaviour research and therapy.

[57]  Dick J Veltman,et al.  Brain activation patterns associated with cue reactivity and craving in abstinent problem gamblers, heavy smokers and healthy controls: an fMRI study , 2010, Addiction biology.

[58]  Luke Clark,et al.  Gambling Severity Predicts Midbrain Response to Near-Miss Outcomes , 2010, The Journal of Neuroscience.

[59]  Michael B. Miller,et al.  The principled control of false positives in neuroimaging. , 2009, Social cognitive and affective neuroscience.

[60]  William A. Cunningham,et al.  Type I and Type II error concerns in fMRI research: re-balancing the scale. , 2009, Social cognitive and affective neuroscience.

[61]  A. Bechara,et al.  Cerebral Cortex doi:10.1093/cercor/bhn147 Functional Dissociations of Risk and Reward Processing in the Medial Prefrontal Cortex , 2008 .

[62]  H. Pashler,et al.  Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition 1 , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[63]  Elliot T. Berkman,et al.  Correlations in Social Neuroscience Aren't Voodoo: Commentary on Vul et al. (2009) , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[64]  Wim van den Brink,et al.  Response Perseveration and Ventral Prefrontal Sensitivity to Reward and Punishment in Male Problem Gamblers and Smokers , 2009, Neuropsychopharmacology.

[65]  L. Clark,et al.  Gambling Near-Misses Enhance Motivation to Gamble and Recruit Win-Related Brain Circuitry , 2009, Neuron.

[66]  Sébastien Ourselin,et al.  Issues with threshold masking in voxel-based morphometry of atrophied brains , 2009, NeuroImage.

[67]  L. Clark,et al.  Impulsivity as a vulnerability marker for substance-use disorders: Review of findings from high-risk research, problem gamblers and genetic association studies , 2008, Neuroscience & Biobehavioral Reviews.

[68]  Gregory T. Smith,et al.  Emotion-based dispositions to rash action: positive and negative urgency. , 2008, Psychological bulletin.

[69]  H. Xian,et al.  Association of cognitive distortions with problem and pathological gambling in adult male twins , 2008, Psychiatry Research.

[70]  Brent L. Hughes,et al.  Prefrontal-Subcortical Pathways Mediating Successful Emotion Regulation , 2008, Neuron.

[71]  Jennifer L. Perry,et al.  The role of impulsive behavior in drug abuse , 2008, Psychopharmacology.

[72]  Zheng Yang,et al.  Impaired response inhibition function in abstinent heroin dependents: An fMRI study , 2008, Neuroscience Letters.

[73]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[74]  M. P. López,et al.  Validación de un instrumento para la detección de trastornos de control de impulsos y adicciones: el MULTICAGE CAD-4 , 2007 .

[75]  Sang Hee Kim,et al.  Neural Correlates of Positive and Negative Emotion Regulation , 2007, Journal of Cognitive Neuroscience.

[76]  Alain Dagher,et al.  Effects of Expectancy and Abstinence on the Neural Response to Smoking Cues in Cigarette Smokers: an fMRI Study , 2006, Neuropsychopharmacology.

[77]  Colin Camerer,et al.  Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making , 2005, Science.

[78]  Donald R. Lynam,et al.  Validation of the UPPS impulsive behaviour scale: a four‐factor model of impulsivity , 2005 .

[79]  Antonio Damasio,et al.  The somatic marker hypothesis: A neural theory of economic decision , 2005, Games Econ. Behav..

[80]  Monique Ernst,et al.  Prefrontal cortical dysfunction in abstinent cocaine abusers. , 2004, The Journal of neuropsychiatry and clinical neurosciences.

[81]  Karen I. Bolla,et al.  Abnormal brain activity in prefrontal brain regions in abstinent marijuana users , 2004, NeuroImage.

[82]  Kevin N. Ochsner,et al.  For better or for worse: neural systems supporting the cognitive down- and up-regulation of negative emotion , 2004, NeuroImage.

[83]  J. Pujol,et al.  Mapping structural brain alterations in obsessive-compulsive disorder. , 2004, Archives of general psychiatry.

[84]  T. Oei,et al.  The Gambling Related Cognitions Scale (GRCS): development, confirmatory factor validation and psychometric properties. , 2004, Addiction.

[85]  Thomas E. Nichols,et al.  Nonstationary cluster-size inference with random field and permutation methods , 2004, NeuroImage.

[86]  S. Dawe,et al.  The role of impulsivity in the development of substance use and eating disorders , 2004, Neuroscience & Biobehavioral Reviews.

[87]  N. Ramnani,et al.  Distinct portions of anterior cingulate cortex and medial prefrontal cortex are activated by reward processing in separable phases of decision-making cognition , 2004, Biological Psychiatry.

[88]  Jennifer C. Britton,et al.  Neural correlates of individual ratings of emotional salience: a trial-related fMRI study , 2004, NeuroImage.

[89]  Alex Blaszczynski,et al.  Differences in Cognitive Distortions between Problem and Social Gamblers , 2003, Psychological reports.

[90]  A. Blaszczynski,et al.  A pathways model of problem and pathological gambling. , 2002, Addiction.

[91]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[92]  S. Whiteside,et al.  The Five Factor Model and impulsivity: using a structural model of personality to understand impulsivity , 2001 .

[93]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[94]  E. Becoña,et al.  The Fagerström Test for Nicotine Dependence in a Spanish Sample , 1998, Psychological reports.

[95]  M. Hallett.  Human Brain Function , 1998, Trends in Neurosciences.

[96]  H. Lesieur,et al.  The South Oaks Gambling Screen (SaGS): A New Instrument for the Identification of Pathological Gamblers , 2010 .

[97]  A. Candidoa,et al.  Validation of a short Spanish version of the UPPS ‐ P impulsive behaviour scale , 2018 .

[98]  H. Steiger,et al.  Is gambling disorder associated with impulsivity traits measured by the UPPS-P and is this association moderated by sex and age? , 2017, Comprehensive psychiatry.

[99]  U. Malt,et al.  Different impulsivity profiles in borderline personality disorder and bipolar II disorder. , 2015, Journal of affective disorders.

[100]  E. Luders,et al.  Voxel-Based Morphometry , 2015 .

[101]  Jonathon Love,et al.  Software to Sharpen Your Stats , 2015 .

[102]  T. Wüstenberg,et al.  Higher volume of ventral striatum and right prefrontal cortex in pathological gambling , 2013, Brain Structure and Function.

[103]  Elliot T. Berkman,et al.  Correlations in Social Neuroscience Aren't Voodoo , 2009 .

[104]  Kin-yin. Mak,et al.  Neural bases of emotion regulation , 2009 .

[105]  D. Páez,et al.  Cuestionario de Juego Patológico de South Oaks (SOGS): validación española , 1994 .