Nihms
Nihms
Author Manuscript
                            Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Published in final edited form as:
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                           Abstract
                                Functional imaging is offering powerful new tools to investigate the neurobiology of cognitive
                                functioning in people with and without psychiatric conditions like gambling disorder. Based on
                                similarities between gambling and substance-use disorders in neurocognitive and other domains,
                                gambling disorder has recently been classified in DSM-5 as a behavioral addiction. Despite the
                                advances in understanding, there exist multiple unanswered questions about the pathophysiology
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                                underlying gambling disorder and the promise for translating the neurobiological understanding
                                into treatment advances remains largely unrealized. Here we review the neurocognitive
                                underpinnings of gambling disorder with an eye towards improving prevention, treatment and
                                policy efforts.
                           Keywords
                                Gambling; neuroimaging; neurobiology; cognition
                           Introduction
                                              Evidence of gambling extends back to the earliest recorded cultures in human history [1].
                                              Gambling may take many forms including lotteries, electronic gambling machines (i.e., slot
                                              machines), cards, and sports, and may occur in multiple venues (e.g., in casinos,
                                              convenience stores or bars or on the Internet), either legally or illegally [2]. Most adults
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                                              gamble, as do most adolescents, making gambling a normative behavior for these groups [3,
                                              4]. Although most people gamble without experiencing problems, a minority develops
                                              gambling problems with lifetime estimates amongst adults typically cited in the range of
                                              0.2%–5.3%, with precise estimates depending on the threshold used for considering
                                              gambling problematic [2].
                                     The diagnostic entity in the fifth edition of the Diagnostic and Statistical Manual (DSM-5)
                                     relating to gambling is gambling disorder (previously termed “pathological gambling” in the
                                     third and fourth editions of the DSM [5, 6]). The inclusionary criteria for pathological
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                                     gambling and gambling disorder (Box 1) share similarities with those for substance abuse,
                                     dependence and use disorders across DSM-IV and DSM-5. For example, the inclusionary
                                     criteria for gambling disorder, like those for substance use disorders, include criteria
                                     targeting tolerance, withdrawal, repeated unsuccessful attempts to cut back or quit and
                                     interference in major areas of life functioning. Although certain criteria are specifically
                                     listed for gambling and substance-use disorders, they often have applicability to both. For
                                     example, cravings (strong desires or urges to use substances) are listed in the inclusionary
                                     criteria for substance-use but not gambling disorders, although gambling urges are present in
                                     people with gambling disorder and a target of clinical interventions [7]. On the other hand,
                                     gambling when feeling distressed is an inclusionary criterion for gambling but not
                                     substance-use disorders, although negative-reinforcement motivations are clinically relevant
                                     for substance addictions, particularly women [8].
                                     Based on existing data from epidemiological, clinical, genetic, and neurobiological domains
                                     [9], pathological gambling was reclassified from the category of “Impulse Control Disorders
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                                     Not Elsewhere Classified” in DSM-IV to the category of “Addictive and Related Disorders”
                                     in DSM-5 [10]. Although gambling and substance-use disorders are now classified together,
                                     the DSM-5 applies a threshold of relatively greater stringency for the diagnosis of gambling
                                     disorder (meeting 4 of 9 inclusionary criteria) compared to substance-use disorders (meeting
                                     2 of 11 inclusionary criteria) [10]. This situation has the potential to underestimate the
                                     societal impact of gambling relative to substance-use disorders. As levels of gambling not
                                     meeting the threshold for gambling disorder have been associated with adverse measures of
                                     functioning (e.g., psychopathology [11]), consideration of both risky and disordered
                                     gambling is warranted from neurobiological and public health perspectives [12].
                                     Unlike many other psychiatric disorders, there are no medications with indications for
                                     treating gambling disorder (i.e., no drug with an indication approval from the US Food and
                                     Drug Administration for treating the disorder) [13]. Thus, there is a significant need for
                                     medications development efforts to help advance the treatment of gambling disorder. In
                                     order to facilitate these efforts, an improved understanding of the biological underpinnings
                                     of gambling disorder is needed. Additionally, an improved understanding of the neural
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                                         dysfunction exists and predominates in gambling disorder. The review will cover cognitive/
                                         behavioral, neuroimaging and neurochemistry domains, and a schematic is included
                                         describing key components in these areas (Figure 1). A glossary with definitions for some
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                                         terms relevant to gambling disorder, including less widely used gambling-related terms, is
                                         provided.
                                         comparison subjects (who both performed better than those with alcoholuse problems) on
                                         tasks assessing visuospatial working memory and the maintenance and manipulation of
                                         verbal information in working memory [20]. However, both the problem gambling and
                                         alcohol-abusing groups performed worse than the non-addicted comparison group on
                                         measures of reflection impulsivity and gamblingrelated decision-making [20]. These
                                         findings resonate with those of independent investigations that have identified
                                         disadvantageous patterns of decision-making in individuals with gambling disorders [21], as
                                         well as other studies that have compared individuals with gambling problems, alcohol-use
                                         problems and healthy comparison subjects [22]. However, in some of these studies between-
                                         group differences extended to a broader range of cognitive functions relating to inhibition
                                         (including aspects of cognitive control and stopping an ongoing action when rapidly
                                         responding), time estimation, cognitive flexibility, and planning [22]. In general, in each of
                                         these domains with the possible exception of cognitive flexibility, individuals with gambling
                                         problems and those with alcohol-use problems performed more poorly than did non-addicted
                                         comparison subjects [22]. Although findings and their interpretations are not entirely
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                                         consistent across studies [23], the extant literature suggests similarities across gambling and
                                         substance-use disorders, consistent with the reclassification of gambling disorder together
                                         with substance-use disorders in DSM-5 [10]. They also suggest that multiple cognitive
                                         domains contribute to gambling disorder and that understanding the clinical and
                                         neurobiological correlates may help in guiding treatment development efforts. However, the
                                         most consistently identified cognitive disturbances in gambling disorder appear related to
                                         risk-reward decision-making, cognitive processes linked to functioning of ventromedial
                                         prefrontal cortex (vmPFC) rather than dorsolateral PFC (dlPFC), consistent with findings
                                         from neuroimaging studies (discussed later in this article).
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                              Gambling-related Cognitions
                                         In addition to the “traditional” cognitive domains described above, gambling behaviors may
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                                         be associated with more unique cognitive features that may contribute importantly to
                                         gambling disorder. For example, irrational cognitions relating to gambling behaviors have
                                         been observed in people who gamble, including those with and without gambling problems.
                                         These cognitions may relate to superstitions, gambler’s fallacy, illusion of control,
                                         inaccurate processing of wins, losses or near-wins (so-called “near-miss” effect), persistence
                                         of gambling despite often recurrent losses (so-called “chasing”) or other gambling-related
                                         domains [24]. Given that studies have found that non-problematic gamblers experience
                                         irrational gambling-related cognitions [25], behavioral measures of gambling seem not to be
                                         substantially influenced by cognitive biases [26], and cognition-related information alone
                                         (e.g., relating to odds of winning) may not influence gambling behaviors significantly [27],
                                         the centrality of irrational cognitions to gambling disorders has been questioned [28].
                                         However, structured assessments of irrational gambling-related cognitions are now
                                         permitting more nuanced and systematic investigations into the relationships between
                                         irrational gambling-related cognitions, gambling behaviors and gambling problems.
                                         A widely used scale to assess irrational cognitions related to gambling is the gambling
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                                         related cognitions scale (GRCS) [29]. The GRCS is a 23-item measure with good
                                         psychometric properties [29]. It has been found to identify and assess five factors relating to
                                         interpretative control/bias (e.g., “Relating my winnings to my skill and ability makes me
                                         continue gambling”), illusion of control (e.g., “I have specific rituals and behaviors that
                                         increase my chances of winning”), predictive control (e.g., “Losses when gambling, are
                                         bound to be followed by a series of wins”), gambling-related expectancies (e.g., “Gambling
                                         makes things seem better”), and a perceived inability to stop (e.g., “It is difficult to stop
                                         gambling as I am so out of control”) [29], although there is considerable correlation between
                                         the factors (mean =0.55), raising questions about a one-factor or five factor model [30].
                                         Amongst non-problem gamblers, there exist individual differences that relate to gender, with
                                         men scoring higher overall and on all subscales except for the illusion-of-control subscale
                                         [29]. Among adolescents, boys scored higher than girls on the GRCS; additionally, GRCS
                                         scores were associated with disordered gambling across gender groups, with the GRCS
                                         scores (particularly subscales relating to perceived inability to stop, gambling-related
                                         expectancies, and illusion of control) statistically predicting problem-gambling severity [30].
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                                         Amongst adults, the subscale of the GRCS relating to perceived inability to stop was related
                                         to persistence of slot-machine gambling behavior, and gambling-related cognitions more
                                         broadly were related to subjective effects of desires to continuing to gamble following
                                         multiple types of outcomes including near-misses [31]. Together, these findings indicate
                                         important relationships between gambling-related cognitions and persistence and severity of
                                         gambling across different developmental epochs, and more research is needed into the
                                         neural factors that relate to these cognitions in groups with and without gambling disorders.
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                              Neuroimaging
                              Neural Underpinnings
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                                         Functional neuroimaging has provided insight into the regional brain activation patterns
                                         underlying specific cognitive processes in gambling disorder. These studies have identified
                                         in individuals with and without gambling disorder differences in corticostriatal-limbic
                                         activations. In multiple cases, relatively blunted activation of corticostriatal-limbic regions,
                                         in particular the vmPFC and ventral striatum (VS), has been observed in individuals with
                                         gambling disorder [15]. For example, relatively diminished activation of the vmPFC and/or
                                         VS has been observed during task performance interrogating cognitive control (Stroop) [32],
                                         gambling urges [33, 34], simulated gambling [35], decision-making (Iowa gambling task)
                                         [36], and the processing of monetary rewards and losses (monetary incentive delay task) [37,
                                         38]. These findings show similarities to those involving individuals with or at-risk for
                                         substance-use disorders. For example, like individuals with gambling disorder during the
                                         anticipatory phase of reward processing on the monetary incentive delay task [37, 38],
                                         individuals with alcohol-use disorder [39, 40], tobacco-use disorder [41], or a familial
                                         history of alcoholism [42] show relatively blunted VS activation as compared to those
                                         without or at lower risk for addictions. These findings appear to extend to other groups
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                                         characterized by impaired impulse control (e.g., individuals with binge-eating disorder [43]),
                                         relate to impulsivity in gambling and alcohol-use disorders (e.g., with less VS activation
                                         during reward anticipation linked to greater impulsivity [37]), and relate prospectively to
                                         treatment outcome in preliminary studies (e.g., with individuals with binge-eating disorder
                                         who continued to binge following treatment as compared to those who ceased bingeing
                                         following treatment demonstrating at treatment onset relatively blunted VS activation during
                                         reward anticipation [44]). Additionally, problem-gambling severity amongst individuals
                                         with gambling disorders has been associated inversely with activation of the VS and/or
                                         vmPFC during simulated gambling [35, 45] and the encoding of value signals for delayed
                                         rewards in the vmPFC, VS and substantia nigra during performance of an intertemporal
                                         choice task [46]. Together, these findings suggest that blunted activation of VS, vmPFC and
                                         other neural regions linked to reward processing contribute importantly to a range of
                                         cognitive processes in gambling disorder and other conditions characterized by impaired
                                         impulse control. These findings suggest that gambling disorder might be conceptualized as a
                                         reward-processing disorder; alternatively, alterations in function of vmPFC, VS and/or other
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                                         Despite these data, there is debate as to the extent to which blunted neuronal sensitivity to
                                         rewards may underlie gambling disorder. Several studies investigating gambling urges [47,
                                         48] and monetary processing [49] have identified relatively increased neuronal activations of
                                         corticostriatal circuitry in individuals with, as compared to those without, gambling disorder.
                                         Although seemingly contradictory to findings described in the prior paragraph, differences
                                         in task designs, participants, and other features like context may contribute to differences in
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                                     findings [50–53]. Specifically, different contexts may exert important influences, with
                                     situations or cues that are more closely related to the addiction (i.e., to gambling in gambling
                                     disorder) more likely to elicit increased activation of the VS and other reward-related brain
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                                     regions [51–53]. Additionally, the risk associated with the gambling may influence brain
                                     activations as individuals who gambled problematically and those who gambled
                                     occasionally demonstrated opposite patterns of regional brain activations to high- and
                                     lowrisk conditions [54]. Given that gambling-related contexts may be more physiologically
                                     arousing for individuals with gambling problems as compared to those without [55], the
                                     effect of context on neuroendocrine response and brain function should be examined further.
                                     Further supporting the relevance of these lines of research are data suggesting greater
                                     functional connectivity between ventral affective and dorsal executive systems during
                                     affective processing in an emotional/motivational Go/No-Go task in individuals with
                                     gambling problems as compared to those without [56]. The findings from this study resonate
                                     with those from a study of cocaine dependence in which greater connectivity with ventral
                                     cortical and subcortical regions were identified during a cognitive control task in the
                                     cocaine-dependent as compared to the control group [57].
                                     Future studies are needed to investigate systematically context, not only relating to the
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                                     object of addiction (i.e., gambling for gambling disorder), but also to mood, stress and other
                                     possible factors that might relate to or influence motivational tendencies to engage in
                                     addictive behaviors [58, 59]. For example, negative mood states or stress might promote
                                     gambling behaviors in certain individuals with gambling disorders, consistent with negative
                                     reinforcement models of addiction and findings linking gambling disorder and related
                                     cognitive processes (e.g., gambling urges) to stress and trauma [58, 60]. These relationships
                                     may be particularly relevant to women given their greater acknowledgement of gambling to
                                     escape negative affective states and links between gambling disorder in trauma in women as
                                     compared with men [60, 61]. Subjective responses to emotional or gambling-related cues
                                     may also provide additional insight; for example, activation of the temporal pole, a brain
                                     region implicated in the recollection of personally relevant events, was related to the
                                     magnitude of gambling urges in response to gambling cues during the onset of subjective
                                     awareness of these feelings [62]. As personalized cues relating to stress more strongly
                                     elicited corticostriatal-limbic activations in cocaine-dependent women and cocaine cues
                                     more strongly elicited corticostriatal-limbic activations in cocainedependent women [8],
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                                     similar studies of gambling-disordered women and men are needed to investigate the extent
                                     to which similar neurobiological processes might underlie sex differences in gambling
                                     disorder. While stress might operate through increasing urges to gamble in individuals with
                                     gambling disorder, it might also operate by comprising prefrontal control mechanisms in
                                     individuals with addictions [63], mechanisms that have been linked to regulation of craving
                                     states amongst drug-dependent individuals [64], and direct examination of these possibilities
                                     is warranted.
                                     Other contexts also warrant examination. For example, peer influence might promote risk-
                                     taking behaviors particularly amongst adolescents, and certain adolescents might be
                                     particularly prone to risk-taking behaviors under peer influence. For example, adolescent
                                     smokers but not non-smokers increased risk-taking on a laboratory task under peer
                                     influence, and this peer-related increase in risk-taking was linked to self-reported impulsive
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                                         tendencies [65]. The extent to which such contexts may increase gambling behaviors,
                                         particularly adolescents with gambling disorders, warrants direct examination. Additionally,
                                         other cognitive constructs underlying aspects of reward processing and related behaviors
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                                         (near-miss effects [66], loss-chasing [67]) that have been investigated in people without
                                         gambling problems warrant further study in individuals with gambling disorder, both
                                         amongst adolescents and adults.
                              Neurochemistry
                              Neurochemical Contributions to Gambling Disorder
                                         Recent reviews has described in detail neurochemical contributions to gambling disorder
                                         [15, 17, 18, 52]. For decades, biogenic amines and other neurochemicals have been
                                         implicated in the pathophysiology of gambling disorder [15]. Noradrenergic, serotonergic,
                                         dopaminergic, and opioidergic contributions have been proposed to contribute to arousal/
                                         excitement, impulse control, reward/reinforcement and urges/cravings, respectively [15].
                                         Recently communicated data suggest more extensive contributions to cognit ive factors
                                         underlying gambling behaviors; e.g., with respect to dopamine and executive functioning
                                         [68]. Additionally roles for alpha-adrenergic mechanisms, particularly in relationship to
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                                         stress responsiveness [69], and glutamatergic mechanisms that may relate to compulsive
                                         engagement in gambling [70, 71] have been suggested and supported, although other
                                         pathways may also contribute to identified findings [72]. Given the importance of dopamine
                                         in substance addictions, dopaminergic systems have been an important focus of recent
                                         neurochemical investigations of gambling disorder.
                                         other behavioral addictions [75], and amphetamine administration has been found to prime/
                                         promote gambling urges in individuals with gambling problems [76]. These findings suggest
                                         that pro-dopaminergic agents or states may promote problematic gambling and underlie the
                                         pathophysiology observed in gambling disorder. However, drugs antagonizing dopamine
                                         D2-like receptors (e.g., haloperidol) have been associated with increasing the rewarding and
                                         priming effects of a gambling in people with gambling problems but not in those without
                                         [77]. Furthermore, drugs that antagonize dopamine D2-like receptors like olanzapine have
                                         not shown clinical utility in randomized clinical trials involving people with gambling
                                         disorder [78, 79].
                                         There may be multiple reasons for the seemingly conflicting results regarding a role for
                                         dopamine in gambling disorder. Among these is the homology between D2, D3 and D4
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                                       dopamine receptors that translate into overlapping affinities for drugs, and this situation has
                                       important research and clinical implications. Specifically, each dopamine receptor may play
                                       a role in gambling behaviors and gambling disorder. For example, in animal studies for
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                                       which drugs with greater specificity are available, the D4 dopamine receptor has been
                                       implicated in slot-machine gambling behaviors in rodents [80]. In humans, positron
                                       emission tomography (PET) studies have used [11C]raclopride in preliminary studies to
                                       investigate D2/D3 receptors in relationship to gambling behaviors and gambling disorder. In
                                       one study of individuals with Parkinson’s disease, less [11C]raclopride availability in the VS
                                       at baseline and greater [11C]raclopride displacement following performance of a gambling
                                       task was observed in individuals with gambling disorder as compared to those without,
                                       suggesting greater VS dopamine release in the group with gambling disorder [81]. However,
                                       the extent to which dopaminergic or other brain pathology associated with Parkinson’s
                                       disease may have contributed to these findings is unclear. In studies of individuals without
                                       Parkinson’s disease, between-group differences in individuals with and without gambling
                                       disorder in [11C]raclopride binding have typically not been identified [82–85]. However,
                                       individual differences in VS [11C]raclopride binding have correlated inversely with negative
                                       urgency [82] and money lost and other aspects of Iowa gambling task performance [83, 84]
                                       in preliminary studies. These findings suggest potential roles for dopamine
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                                       dopamine D3 receptor levels) in the substantia nigra [86]. These findings suggest in
                                       gambling disorder a hyper-dopaminergic state involving the substantia nigra and dorsal
                                       striatum, and suggest possible differences between gambling and drug addictions. The extent
                                       to which these findings relate to specific cognitive functions in gambling disorders,
                                       represent potential vulnerability factors, or relate importantly to clinical outcomes requires
                                       additional investigation.
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                                        psychiatric disorders. NIH initiatives like the Research Domain Criteria (RDoC) and Phen-X
                                        (https://www.phenxtoolkit.org) reflect current efforts related to this line of research [88].
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                              Future Directions
                                        Although significant advances have been made with respect to understanding the cognitive
                                        processes underlying gambling behaviors and gambling disorder, there remain many
                                        unanswered questions and clinical needs. Among the clinical needs is the identification of
                                        effective treatments for people with gambling disorder. Although multiple behavioral
                                        therapies have shown promise and are used in clinical settings, little is known about the
                                        biological mechanisms of action underlying these therapies or the extent to which specific
                                        therapies might best help specific groups of people with gambling problems [14]. For
                                        example, opioid antagonists in the treatment of gambling disorder have received support
                                        from multiple randomized clinical trials [13]. However, human studies into their biological
                                        mechanisms of action are lacking. Unlike many other psychiatric conditions, there is no
                                        medication with an approved indication from the US Food and Drug Administration for
                                        gambling disorder. As such, there is a distinct need for medications development efforts.
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                                      efforts, longitudinal studies may help identify biological factors that may predispose people
                                      to developing gambling problems, as well as biological changes that occur during the
                                      progression of developing and recovering from the disorder. “Deep phenotyping” using both
                                      valid, reliable assessments of psychiatric conditions, detailed gambling information and
                                      assessments of intermediate phenotypes used in studies of other psychiatric conditions (e.g.,
                                      measures of impulsivity or other research RDoC constructs [88, 90]) will ultimately help to
                                      understand gambling disorder and how it relates to other disorders, identify and intervene to
                                      assist people at risk, and help best those currently suffering from the disorder.
                              Concluding Remarks
                                      While gambling and gambling problems have long been recognized, there has been a recent
                                      shift in the classification of the disorder based in considerable part on neurobiological
                                      similarities between gambling and substance-use disorders. Despite the advances over the
                                      past dozen years (prior to which no brain imaging study of people with gambling disorder
                                      had been published), there exist significant gaps in our understanding of the biological
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                                      underpinnings of gambling disorder, how they are similar to and distinct from those
                                      underlying other psychiatric disorders, how they relate to specific cognitive functions in
                                      gambling disorder and how they mat be targeted therapeutically. In addition to the future
                                      directions cited above for research in people with gambling disorder, the field would benefit
                                      from additional translational research. Over the past five years, important inroads have been
                                      made with respect to generating rodent models of slot-machine and other gambling
                                      behaviors [108, 109]. These tasks have allowed for the initial investigation of dopaminergic
                                      and serotonergic systems involved in specific aspects of gambling behaviors and gambling-
                                      related decision-making and provide complementary data to human investigations. For
                                      example, studies in rats suggest that the D4 dopamine receptor may contribute importantly
                                      to slot-machine behaviors, shedding additional insight into potential roles for dopamine in
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                                      gambling disorder and providing potential novel targets for drug development [80].
                                      Similarly, development of tasks for use in other species might generate important knowledge
                                      regarding gambling behaviors in humans; for example, development of analogous tasks for
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                                      use in mice might capitalize on knowledge about and experimental capacities relating to
                                      murine genetics. Additional technologies (involving targeted gene regulation via
                                      optogenetics, viral mediation and other techniques) could be used to understand gambling-
                                      related behaviors.
                                      Additionally, studies of gambling behaviors in non-human primates might offer insight into
                                      electrophysiological brain function and how such brain function might be targeted
                                      therapeutically to influence gambling behaviors. For example, gambling-related tasks in
                                      which specific manipulation of risk and uncertainty have been developed for use in non-
                                      human primates, and an alpha-2 adrenergic agonist (guanfacine) was found to influence
                                      choice of larger later rewards only when the reward was certain, and that guanfacine
                                      influenced time preference (selecting of larger later rewards) but not risk preference [110].
                                      These behaviors were accompanied by guanfacine-related changes in prefrontal cortical
                                      function that suggested the drug may enhance top-down control over subcortical regions that
                                      may promote impulsive choices [110]. These findings complement human studies
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                                      suggesting a role for alpha-2 adrenergic involvement in gambling disorder [69] and suggest
                                      the potential utility of guanfacine in the treatment of gambling disorder. While in these
                                      rodent and nonhuman- primate examples gambling-related behaviors and not gambling
                                      disorder per se is being studied, the findings have important implications for the study of
                                      gambling disorder in humans.
                                      As a behavioral addiction, gambling disorder has the potential to provide important insight
                                      into substance addictions (e.g., the effects that chronic or recent exposure to drugs may have
                                      on brain structure and function and behavior). The concurrent study of individuals with
                                      substance-use disorders and those with gambling disorders thus is likely to provide
                                      important insight into substance addictions, as well as into gambling disorder. The improved
                                      understanding should thus diminish the currently large impact that addictions have on
                                      individuals, their families and society in general.
                              Acknowledgments
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                                      This research was funded in part by NIH grants from NIDA (P20 DA027844, R01 DA018647, R01 DA035058,
                                      P50 DA09241), the National Center for Responsible Gaming, the Connecticut State Department of Mental Health
                                      and Addictions Services, and the Connecticut Mental Health Center. The funding agencies did not provide input or
                                      comment on the content of the manuscript, and the content of the manuscript reflects the contributions and thoughts
                                      of the author and not necessarily reflect the views of the funding agencies.
                                      Dr. Potenza has received financial support or compensation for the following: Dr. Potenza has consulted for and
                                      advised Lundbeck and Ironwood pharmaceuticals; has received research support from the Mohegan Sun Casino and
                                      the National Center for Responsible Gaming; has participated in surveys, mailings or telephone consultations
                                      related to drug addiction, impulse control disorders or other health topics; has consulted for legal and gambling
                                      entities on issues related to gambling behaviors and disorders; provides clinical care in a Problem Gambling
                                      Services Program; has performed grant reviews for the National Institutes of Health and other agencies; has edited
                                      journals and journal sections; has given academic lectures in grand rounds, CME events and other clinical or
                                      scientific venues; and has generated books or book chapters for publishers of mental health texts.
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Glossary
                              References
                                         1. Potenza MN, Charney DS. Pathological gambling: A current perspective. Semin Clin
                                            Neuropsychiatry. 2001; 6:153–154. [PubMed: 11447566]
                                            Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                                 Page 13
                                        1999]
                                     4. Wardle H, et al. British Gambling Prevalence Survey. 2014 http://
                                        www.gamblingcommission.gov.uk/PDF/British%20Gambling%20Prevalence%20Survey
                                        %202010.pdf.
                                     5. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Third
                                        Edition. Washington, DC: American Psychiatric Press Inc.; 1980.
                                     6. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Fourth
                                        Edition-Test Revision. Washington, DC: American Psychiatric Press Inc.; 2000.
                                     7. Grant JE, et al. Predicting response to opiate antagonists and placebo in the treatment of
                                        pathological gambling. Psychopharmacol. 2008; 200:521–527.
                                     8. Potenza MN, et al. Neural Correlates of Stress-Induced and Cue-Induced Craving: Influences of
                                        Gender and Cocaine Dependence. The American journal of psychiatry. 2012; 169:406–414.
                                        [PubMed: 22294257]
                                     9. Potenza MN. Should addictive disorders include non-substance-related conditions? Addiction. 2006;
                                        101:142–151. [PubMed: 16930171]
                                     10. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Fifth
                                         Edition. Washington, DC: American Psychiatric Press Inc.; 2013.
                                     11. Desai RA, Potenza MN. Gender differences in the associations between problem gambling and
NIH-PA Author Manuscript
                                         gamblers. Journal of Nervous & Mental Disease. 1993; 181:107–112. [PubMed: 8426167]
                                     20. Lawrence AJ, et al. Problem gamblers share deficits in impulsive decision-making with alcohol
                                         dependent individuals. Addiction. 2009; 104:1006–1015. [PubMed: 19466924]
                                     21. Petry N. Pathological gamblers, with and without substance use disorders, discount delayed
                                         rewards at high rates. J Abnorm Psychology. 2001; 110:482–487.
                                     22. Goudriaan AE, et al. Neurocognitive functions in pathological gambling: a comparison with
                                         alcohol dependence, Tourette syndrome and normal controls. Addiction. 2006; 101:534–547.
                                         [PubMed: 16548933]
                                     23. Dannon PN, et al. Pathological gambling: An impulse control disorder? Measurement of
                                         impulsivity using neurocognitive tests. IMAJ. 2010; 12:243–248. [PubMed: 20803888]
                                     24. Toneatto T. Cognitive psychopathology of problem gambling. Substance use & misuse. 1999;
                                         34:1593–1604. [PubMed: 10468110]
                                     25. Ladouceur R, et al. Gambling: Relationship between the frequency of wins and irrational thinking.
                                         Journal of Psychology. 1988; 122:409–414.
                                        Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                                    Page 14
                                     26. May RK, et al. Gambling-related irrational beliefs in the maintenance and modification gambling
                                         behavior. International Journal of Gambling. 2005; 5:155–167.
                                     27. Williams RF, Connolly D. Does learning about the mathematics of gambling change gambling
NIH-PA Author Manuscript
                                     43. Balodis IM, et al. Monetary reward processing in obese individuals with and without binge eating
                                         disorder. Biological psychiatry. 2013; 73:877–886. [PubMed: 23462319]
                                     44. Balodis IM, et al. A pilot study linking reduced fronto-striatal recruitment during reward
                                         processing to persistent bingeing following treatment for binge-eating disorder. Int J Eating
                                         Disorders. (in press).
                                     45. Habib R, Dixon MR. Neurobehavioral evidence for the "near-miss" effect in pathological
                                         gamblers. J Expt Anal Behav. 2010; 93:313–228.
                                     46. Miedl SF, et al. Altered Neural Reward Representations in Pathological Gamblers Revealed by
                                         Delay and Probability Discounting. Archives of general psychiatry. 2012; 69:177–186. [PubMed:
                                         22310505]
                                     47. Crockford DN, et al. Cue-induced brain activity in pathological gamblers. Biological psychiatry.
                                         2005; 58:787–795. [PubMed: 15993856]
                                        Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                                   Page 15
                                     48. Goudriaan AE, et al. Brain activation patterns associated with cue reactivity and craving in
                                         abstinent problem gamblers, heavy smokers and healthy controls: an fMRI study. Addict Biol.
                                         2010; 15:491–503. [PubMed: 20840335]
NIH-PA Author Manuscript
                                     49. van Holst RJ, et al. Distorted expectancy coding in problem gambling: is the addictive in the
                                         anticipation? Biological psychiatry. 2012; 71:741–748. [PubMed: 22342105]
                                     50. Balodis IM, et al. Attending to striatal ups and downs in addictions. Biological psychiatry. 2012;
                                         72:e25–e26. [PubMed: 22795454]
                                     51. Leyton M, Vezina P. On cue: Striatal ups and downs in addictions. Biological psychiatry. 2012;
                                         72:e21–e22. [PubMed: 22789688]
                                     52. Limbrick-Oldfield EH, et al. Fronto-striatal dysregulation in drug addiction and pathological
                                         gambling: Consistent inconsistencies? Neuroimage Clinical. 2013; 2:385–393. [PubMed:
                                         24179792]
                                     53. van Holst RJ, et al. Right on cue? Striatal reactivity in problem gamblers. Biological psychiatry.
                                         2012; 72:e23–e24. [PubMed: 22795970]
                                     54. Miedl SF, et al. Neurobiological correlates of problem gambling in a quasi-realistic blackjack
                                         scenario as revealed by fMRI. Psychiatry Res: Neuroimaging. 2010; 181:165–173.
                                     55. Meyer G, et al. Neuroendocrine response to casino gambling in problem gamblers.
                                         Psychoneuroendocrinology. 2004; 29:1272–1280. [PubMed: 15288706]
                                     56. van Holst RJ, et al. Interactions between Affective and Cognitive Processing Systems in
                                         Problematic Gamblers: A Functional Connectivity Study. PLoS One. 2012; 7:e49923. [PubMed:
                                         23209619]
NIH-PA Author Manuscript
                                     57. Mitchell MR, et al. A preliminary investigation of Stroop-related intrinsic connectivity in cocaine
                                         dependence: Associations with Stroop performance and treatment outcomes. The American
                                         journal of drug and alcohol abuse. 2013; 39:392–402. [PubMed: 24200209]
                                     58. Elman I, et al. Psychosocial stress and its relationship to gambling urges in individuals with
                                         pathological gambling. Am J Addictions. 2010; 19:332–339.
                                     59. Williams AD, et al. Deficits in emotion regulation associated with pathological gambling. Br J Clin
                                         Psychol. 2012; 51:223–238. [PubMed: 22574806]
                                     60. Petry NM, Steinberg KL. Childhood maltreatment in male and female treatment-seeking
                                         pathological gamblers. Psychology of addictive behaviors : journal of the Society of Psychologists
                                         in Addictive Behaviors. 2005; 19:226–229. [PubMed: 16011396]
                                     61. Blanco C, et al. Sex differences in subclinical and DSM-IV pathological gambling: results from the
                                         National Epidemiologic Survey on Alcohol and Related Conditions. Psychological Med. 2006;
                                         36:943–953.
                                     62. Balodis IM, et al. A Preliminary Study of the Neural Correlates of the Intensities of Self-Reported
                                         Gambling Urges and Emotions in Men with Pathological Gambling. J Gambling Stud. 2012;
                                         28:493–513.
                                     63. Arnsten A, et al. Everyday Stress Can Shut Down the Brain's Chief Command Center. Scientific
                                         American. 2012; 306:48–53. [PubMed: 22486116]
NIH-PA Author Manuscript
                                     64. Kober H, et al. Prefrontal-striatal pathway underlies cognitive regulation of craving. Proc Natl
                                         Acad Sci USA. 2010; 107:14811–14816. [PubMed: 20679212]
                                     65. Cavalca E, et al. A preliminary experimental investigation of peer influence on risk-taking among
                                         adolescent smokers and non-smokers. Drug and alcohol dependence. 2013; 129:163–166.
                                         [PubMed: 23131775]
                                     66. Chase HW, Clark L. Gambling Severity Predicts Midbrain Response to Near-Miss Outcomes. The
                                         Journal of neuroscience : the official journal of the Society for Neuroscience. 2010; 30:6180–
                                         6187. [PubMed: 20445043]
                                     67. Campbell-Meiklejohn DK, et al. Knowing when to stop: The brain mechanisms of chasing losses.
                                         Biological psychiatry. 2008; 63:293–300. [PubMed: 17662257]
                                     68. Grant JE, et al. A proof of concept study of tolcapone for pathological gambling: relationships with
                                         COMT genotype and brain activation. Eur Neuropsychopharmacol. 2013; 23:1587–1596.
                                         [PubMed: 23953269]
                                     69. Elman I, et al. Yohimbine-Induced Amygdala Activation in Pathological Gamblers: A Pilot Study.
                                         PLoS One. 2012; 7:e31118. [PubMed: 22319607]
                                        Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                                  Page 16
                                     70. Grant JE, et al. Memantine shows promise in reducing gambling severity and cognitive
                                         inflexibility in pathological gambling: a pilot study. Psychopharmacology. 2010; 212:603–612.
                                         [PubMed: 20721537]
NIH-PA Author Manuscript
                                     71. Grant JE, et al. A randomized, placebo-controlled trial of N-acetylcysteine plus imaginal
                                         desensitization for nicotine-dependent pathological gamblers. The Journal of clinical psychiatry.
                                         2014; 75:39–45. [PubMed: 24345329]
                                     72. Dean O, et al. N-acetylcysteine in psychiatry: current therapeutic evidence and potential
                                         mechanisms of action. J Psychiatry Neurosci. 2011; 36:78–86. [PubMed: 21118657]
                                     73. Potenza MN. How central is dopamine to pathological gambling or gambling disorder? Front
                                         Behav Neurosci. 2013; 7:206. [PubMed: 24391562]
                                     74. Weintraub D, et al. Impulse Control Disorders in Parkinson's Disease: A Cross-Sectional Study of
                                         3,090 Patients. Arch Neurol. 2010; 67:589–595. [PubMed: 20457959]
                                     75. Voon V, et al. Impulsive choice and response in dopamine agonist-related impulse control
                                         behaviors. Psychopharmacology. 2010; 207:645–659. [PubMed: 19838863]
                                     76. Zack M, Poulos CX. Amphetamine primes motivation to gamble and gambling-related semantic
                                         networks in problem gamblers. Neuropsyhcopharmacology. 2004; 29:195–207.
                                     77. Zack M, Poulos CX. A D2 antagonist enhances the rewarding and priming effects of a gambling
                                         episode in pathological gamblers. Neuropsychopharmacol. 2007; 32:1678–1686.
                                     78. McElroy S, et al. Olanzapine in the Treatment of Pathological Gambling : A Negative Randomized
                                         Placebo-Controlled Trial. The Journal of clinical psychiatry. 2008; 69:443–440.
                                     79. Fong T, et al. A double-blind, placebo-controlled trial of olanzapine for the treatment of video
NIH-PA Author Manuscript
                                        Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                                   Page 17
                                     92. Grant JE, Kim SW. Brain circuitry of compulsivity and impulsivity. CNS Spectrums. 2014; 19:21–
                                         27. [PubMed: 23659364]
                                     93. Hollander E, Wong CM. Obsessive-compulsive spectrum disorders. The Journal of clinical
NIH-PA Author Manuscript
                                           biological psychiatry : the official journal of the World Federation of Societies of Biological
                                           Psychiatry. 2013; 14:139–145.
                                     101. Hu J, et al. Serotonin 1B Receptor Imaging in Alcohol Dependence. Biological psychiatry. 2010;
                                           63:300–303.
                                     102. Matuskey D, et al. Reductions in Brain 5-HT1B Receptor Availability in Primarily Cocaine-
                                           Dependent Humans. Biological psychiatry. (in press).
                                     103. Potenza MN, Brody AL. Distinguishing D2/D3 dopaminergic contributions to addictions:
                                           Commentary on Boileau: The D2/3 dopamine receptor in Pathological Gambling: A PET study
                                           with [11C]-(+)-Propyl-Hexahydro-Naphtho-Oxazin and [11C]Raclopride. Addiction. 2013;
                                           108:964–965. [PubMed: 23587083]
                                     104. Yip SW, et al. (accepted pending revisions) Pretreatment measures of brain structure and
                                           rewardprocessing brain function in cannabis dependence: An exploratory study of relationships
                                           with abstinence during behavioral treatment. Drug and alcohol dependence.
                                     105. Potenza MN, et al. Neuroscience of behavioral and pharmacological treatments for addictions.
                                           Neuron. 2011; 69:695–712. [PubMed: 21338880]
                                     106. Worhunsky PD, et al. Functional Brain Networks Associated with Cognitive Control, Cocaine
                                           Dependence and Treatment Outcome. Psychology Addict Behav. 2013; 27:477–488.
                                     107. Xu J, et al. Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based
NIH-PA Author Manuscript
                                        Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
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                                     A. Persistent and the current maladaptive gambling behavior as indicated by five (or
                                     more) of the following:
                                         6.   after losing money gambling, often returns another day to get even (“chasing”
                                              one’s losses)
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                                         10. relies on others to provide money to relieve a desperate financial situat ion
                                             caused by gambling
                                     Reprinted with permission from the Diagnostic and Statistical Manual of Mental
                                     Disorders, Fourth Edition, Text Revision (Copyright 2000). American Psychiatric
                                     Association
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                                         6.   After losing money gambling, often returns another day to get even (“chasing”
                                              one’s losses).
                                     Specify if:
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                                         Episodic: Meeting diagnostic criteria at more than one time point, with symptoms
                                         subsiding between periods of gambling disorder for at least several months.
Specify if:
                                         In early remission: After full criteria for gambling disorder were previously met,
                                         none of the criteria for gambling disorder have been met for at least 3 months but for
                                         less than 12 months.
                                         In sustained remission: After full criteria for gambling disorder were previously
                                         met, none of the criteria for gambling disorder have been met during a period of 12
                                         months or longer.
                                     Note: Although some behavioral conditions that do not involve ingestion of substances
                                     have similarities to substance-related disorders, only one disorder – gambling disorder –
                                     sufficient data to be included in this section.
                                     Reprinted with permission from the Diagnostic and Statistical Manual of Mental
                                     Disorders, Fifth Edition, (Copyright 2013). American Psychiatric Association
                                        Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                      Page 20
                                                                              Highlights
                                      Debate exists regarding the extent to which blunted or exaggerated reward
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                                      Seemingly conflicting data exist for a role for dopamine in gambling disorder and its
                                      related cognitive processes.
                                     Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.
                           Potenza                                                                                      Page 21
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                                     Figure 1.
                                     Schematic Diagram Relating Biological Measures to Cognitions and Behaviors in Gambling
                                     Disorder. A diagram linking the domains of “Neurochemical Systems” and “Brain Regions
                                     and Circuits” to “Cognitions” which then influence the domain of “Excessive Gambling
                                     Behaviors” is presented. Salient representative factors within each domain are presented.
                                     Each domain has potential as targets for possible prevention and treatment interventions.
Trends Cogn Sci. Author manuscript; available in PMC 2015 August 01.