Article

Knowing When to Stop: The Brain Mechanisms of Chasing Losses

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  • School of Psychology
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Abstract

Continued gambling to recover previous losses ("loss-chasing") is central to pathological gambling. However, very little is known about the neural mechanisms that mediate this behavior. We used functional magnetic resonance imaging (fMRI) to examine neural activity while healthy adult participants decided to chase losses or decided to quit gambling to prevent further losses. Chasing losses was associated with increased activity in cortical areas linked to incentive-motivation and an expectation of reward. By contrast, quitting was associated with decreased activity in these areas but increased activity in areas associated with anxiety and conflict monitoring. Activity within the anterior cingulate cortex associated with the experience of chasing and then losing predicted decisions to stop chasing losses at the next opportunity. Excessive loss-chasing behavior in pathological gambling might involve a failure to appropriately balance activity within neural systems coding conflicting motivational states. Similar mechanisms might underlie the loss-of-control over appetitive behaviors in other impulse control disorders.

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... Previous research found that chasing is associated, among others, with impulsivity (Breen & Zuckerman, 1999), sensation seeking (Linnet, Røjskjaer, Nygaard, & Maher, 2006), increased activation in brain regions related to reward expectation (Campbell-Meiklejohn et al., 2008), low sensitivity to punishment (Kim & Lee, 2011), poor decision-making (Nigro, Ciccarelli, & Cosenza, 2018a), disinhibition (Nigro et al., 2018b), alexithymia (Bibby, 2016), deficit in mentalization (Nigro et al., 2019), and heightened levels of craving (Ciccarelli, Cosenza, D'Olimpio, Griffiths, & Nigro, 2019b). Importantly, recent research provided evidences that chasers and nonchasers represent two distinct subgroups of gamblers, over and above gambling severity (Ciccarelli, Cosenza, Griffiths, D'Olimpio, & Nigro,2019aNigro et al., 2018a, 2018b; see also Linnet et al., 2006). ...
... According to Campbell-Meiklejohn et al. (2008), loss chasing shows the expectancy of later positive outcomes and the decision to chase looks similar, at neural level, to a craving for a drug among addicts. As their findings suggest, "the decisions to chase are mediated by activity in systems that code positive incentive-value and powerful appetitive states and that dysfunction in these circuits mediates the excessive urge to chase reported by pathological gamblers" (p. ...
... Cosenza et al., 2019a;Hing, Russell, Tolchard, & Nower, 2016;Nigro et al., 2017;Raylu, Oei, Loo, & Tsai, 2016;Welte, Barnes, Tidwell, Hoffman, & Wieczorek, 2015; for reviews, see Delfabbro, Thomas, & Armstrong, 2018), boys reported significantly higher levels of gambling severity, alcohol consumption, and craving. In line with prior findings, chasing behavior did not vary by gender (Bibby, 2016;Campbell-Meiklejohn et al., 2008;Lister, Nower, & Wohl, 2016;O'Connor & Dickerson, 2003;Worhunsky, Potenza, & Rogers, 2017) or as a function of the experimental condition Lister et al., 2016;Nigro et al., 2018a). Rather, the results of logistic regression analysis suggested that the choice to stop or continue playing depend on both a strong, urgent desire to gamble and the anticipation of immediate positive subjective experiences from gambling, whereas chasing proneness was predicted not only by anticipation and desire to gamble, but also by alcohol consumption. ...
Article
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Chasing, or continuing to gamble to recoup losses, is a behavioral marker and a diagnostic criterion for gambling disorder. Research on chasing has focused mainly on adults, whereas the analysis of chasing behavior among adolescents has not received empirical attention in the gambling literature. The aim of the present study was to first investigate the interplay between chasing behavior, craving, temporal perspective, alcohol use, and gambling severity among Italian adolescents. Three hundred and sixty-four adolescents took part in the study. Participants completed the South Oaks Gambling Screen Revised for Adolescents (SOGS-RA), the Gambling Craving Scale (GACS), the 14-item Consideration of Future Consequences scale (CFC-14), the Alcohol Use Disorders Identification Test (AUDIT), and performed a computerized task assessing chasing behavior. Participants were randomly assigned to the control and the loss condition of the computerized task. Results indicated that the choice to continue playing, as well as chasing frequency did not vary as a function of experimental condition. Hierarchical logistic and linear regression analyses revealed that the decision to chase depended mostly on craving, whereas chasing propensity was affected by craving and alcohol misuse. Notably, gambling severity did not predict either the decision to chase, or the chasing persistence. The present study contributes important findings to the gambling literature, highlighting the role of craving alcohol use in facilitating the inability to stop within-sessions gambling among adolescents. These findings may provide evidence that nonchasers and chasers represent two different types of gamblers, and that the difference may be useful for targeting more effective therapies.
... Gambling problems are mediated by altered neuromodulation within mesolimbic reinforcement sites and altered neural responses to monetary rewards and gambling-related cues (Zack and Poulos 2004;Chase and Clark 2010;Balodis et al. 2012;Worhunsky et al. 2014). These dysfunctional brain responses may mediate the altered cognitions that promote gambling and, in vulnerable individuals, gambling problems (Campbell-Meiklejohn et al. 2008;Clark et al. 2009;Clark 2010). Current treatments include cognitive and/or behavioural therapies but also a variety of pharmacological options including SSRIs, mood stabilisers, atypical anti-psychotics and opioid antagonists (Grant et al. 2014). ...
... There have been limited previous studies of the pharmacological basis of within-session loss-chasing. Using an experimental model in which human volunteers chose between gambling to recover accumulating (notional) losses by doubling their stakes or 'quitting the chase', Campbell-Meiklejohn and colleagues (Campbell-Meiklejohn et al. 2008, 2011 demonstrated that loss-chasing involves dissociable roles for monoamine systems, with serotonin activity modulating the persistence of chasing behaviour, but dopamine and, in particular, D 2 /D 3 receptor (R) activity modulating the evaluation of losses worth chasing (Campbell-Meiklejohn et al. 2011Rogers 2011). Exploiting the foraging preference of animals to access food promptly (Bateson and Kacelnik 1995;Kacelnik and Bateson 1996), Rogers et al. (2013) using rats modelled within-session loss-chasing as choices between immediate food access versus delayed access to food rewards (timeouts) over successive bad choice outcomes. ...
... Human studies have attempted to parse components of gambling behaviours and there is evidence for the existence of dissociable neural systems and pharmacological substrates underlying, for example, the decision to chase losses or quit (Campbell-Meiklejohn et al. 2008, 2011. However, to our knowledge, there have been no explicit comparisons of the pharmacological mechanisms of initial decisions to gamble/quit and subsequent loss-chasing behaviour in either un-drugged or drug treated subjects. ...
Article
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RationaleProblematic patterns of gambling are characterised by loss of control and persistent gambling often to recover losses. However, little is known about the mechanisms that mediate initial choices to begin gambling and then continue to gamble in the face of losing outcomes.Objectives These experiments first assessed gambling and loss-chasing performance under different win/lose probabilities in C57Bl/6 mice, and then investigated the effects of antagonism of 5-HT2CR with SB242084, 5-HT1AR agonism with 8-OH-DPAT and modafinil, a putative cognitive enhancer.ResultsAs seen in humans and other species, mice demonstrated the expected patterns of behaviour as the odds for winning were altered increasing gambling and loss-chasing when winning was more likely. SB242084 decreased the likelihood to initially gamble, but had no effects on subsequent gambling choices in the face of repeated losses. In contrast, 8-OH-DPAT had no effects on choosing to gamble in the first place, but once started 8-OH-DPAT increased gambling choices in a dose-sensitive manner. Modafinil effects were different to the serotonergic drugs in both decreasing the propensity to initiate gambling and chase losses.Conclusions We present evidence for dissociable effects of systemic drug administration on different aspects of gambling behaviour. These data extend and reinforce the importance of serotonergic mechanisms in mediating discrete components of gambling behaviour. They further demonstrate the ability of modafinil to reduce gambling behaviour. Our work using a novel mouse paradigm may be of utility in modelling the complex psychological and neurobiological underpinnings of gambling problems, including the analysis of genetic and environmental factors.
... The extant literature has shown that chasing represents an important step in the development and maintenance of gambling disorder (Breen & Zuckerman, 1999;Goudriaan, Yücel, & van Holst, 2014;Lesieur, 1984; see also Corless & Dickerson, 1989;Sharpe, 2002; for a review, see Nigro, Ciccarelli, & Cosenza, 2018b), and is one of the few observable signs for disordered gambling (Gainsbury, Suhonen, & Saaststamoinen, 2014), and the only criterion of gambling addiction absent in substance use disorder (Quester & Romanczuk-Seiferth, 2015). Prior research found that chasing is associated, among others, with impulsivity (Breen & Zuckerman, 1999), sensation seeking (Linnet, Røjskjaer, Nygaard, & Maher, 2006), increased activation in brain regions related to reward expectation (Campbell-Meiklejohn et al., 2008), low sensitivity to punishment (Kim & Lee, 2011), poor decision-making (Nigro et al., 2018a), disinhibition (Nigro et al., 2018b), alexithymia (Bibby, 2016), and shortened time horizon . ...
... Given the difficulties in reproducing in the laboratory between-session chasing, as defined by Lesieur (1979) and the DSM-IV and DSM-5 criteria for disordered gambling, the few behavioral tasks devoted to assessing chasing focused on within-session chasing. With the only exception of Linnet et al. (2006), who measured episodic chasing within the Iowa Gambling Task (IGT), some authors have developed or implemented ad hoc procedures for estimating within-session chasing (Bibby, 2016;Breen & Zuckerman, 1999;Campbell-Meiklejohn et al., 2008;Lister et al., 2016;Nigro et al., 2018a;Worhunsky, Potenza, & Rogers, 2017). Although laboratory tasks have assessed chasing in quite different ways, they share the following features at least: (a) the task simulates real-life game situations in which participants are allowed to stop in any moment; (b) the game is apparently chance-based; (c) the outcomes are manipulated; (d) participants win or lose some virtual money; and (e) both the decision to chase and the number of trials played are considered variables of interest. ...
... Although the SOGS has been found to produce inflated pathological gambling estimates, it is still frequently used as a screen in experimental research (James et al., 2016). In this study, the SOGS was chosen to allow comparisons with previous researches on chasing (e.g., Breen & Zuckerman, 1999;Brevers et al., 2013Brevers et al., , 2014Campbell-Meiklejohn et al., 2008;Linnet et al., 2006;Nigro et al., 2018aNigro et al., , 2018b. The questionnaire is composed of 20 scored items and some unscored items. ...
Article
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Background and aims: Chasing is a behavioral marker and a diagnostic criterion for gambling disorder. Although chasing has been recognized to play a central role in gambling disorder, research on this topic is relatively scarce. This study investigated the association between chasing, alcohol consumption, and mentalization among habitual gamblers. Method: A total of 132 adults took part in the study. Participants were administered the South Oaks Gambling Screen, the Alcohol Use Disorders Identification Test, the Reflective Functioning Questionnaire, and a laboratory task assessing chasing behavior. Participants were randomly assigned to three experimental conditions (Control, Loss, and Win). To deeply investigate chasing behavior, participants were requested to indicate the reasons for stopping or continuing playing at the end of the experimental session. Results: Logistic regression analysis showed that the choice to stop or continue playing depended on experimental condition and alcohol use. Hierarchical linear regression indicated that chasing propensity was affected by experimental condition, alcohol consumption, and deficit in mentalization. The results of path analysis showed that hypermentalizing predicts chasing not only directly, but also indirectly via alcohol consumption. Conclusions: Overall, these results for the first time showed that hypermentalization plays a key role in chasing behavior over and above gambling severity. Since these findings support the idea that chasers and non-chasers are different subtypes of gamblers, clinical interventions should consider the additive role of chasing in gambling disorder.
... From a reinforcement learning perspective, where losses should yield demotivation of gambling behavior, this phenomenon cannot be so easily explained. A study by Campbell-Meiklejohn et al. [139] investigated the neural basis of loss chasing in HC subjects using fMRI. Subjects started with fictive 20,000 British Pounds. ...
... Both good and bad outcomes after chase decisions against decisions to quit (PE in general) were associated with activity in VS, putamen. Checking how negative outcomes after a chase followed by a decision to chase are different from negative outcomes after a chase followed by a decision to quit revealed increased activity in [139]. Left panel: Three different trials are displayed (from left to right). ...
... The correlation highlights the validity of the task. Reprinted from [139], Figure 1. With permission from Elsevier dACC, a known conflict monitoring area, and indicated earlier in being associated with increased propensity to quit. ...
Chapter
This chapter gives an overview on neurobehavioral findings concerning gambling disorder (GD). We classify studies into classical and computational psychiatry studies and into three categories related to different symptom clusters: loss of control, craving, and neglect of other areas in life. Studies using classical analyses are those that set into relationship measured random variables by estimating their respective means, variances, and covariances. Computational psychiatry studies and computational analyses are those that explicitly assume one or several cognitive-computational processes responsible for generating the data. Analyses could involve reinforcement learning models fit to behavioral choice data or neural network models fit to brain data. Computational psychiatry aims at taking a closer look at processes underlying psychological disorders. Note that we will also use a computational psychiatry perspective when reporting on the classical neurobiological GD studies here. This means we will review primary research articles with respect to computationally relevant processes such as cue reactivity, response inhibition, gain and loss processing, uncertainty, and delay processing as well as learning from reward and punishment.
... In both cases, according to Breen and Zuckerman [7], chasing losses can be seen as a distinct form of persistence in gambling, specifically persistence in the face of losing. In addition, it is worth noting that the DSM-5 definition of loss-chasing overlooks the phenomenon of chasing wins, which can be equally detrimental to people struggling with this disorder [8,9]. Since individuals may continue to gamble beyond their initial intentions, regardless of whether they have experienced a series of losses or wins, prolonged gambling typically results in greater financial losses over time. ...
... Because "loss-chasing frequently involves a strong appetitive component, manifested in uncontrollable urges to continue gambling or increase the size of bets placed" ( [9], p. 297), the decision to chase shares similarities with drug cravings observed in substance addicts. ...
Article
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Background Dysfunctional decision-making and intense craving represent pivotal aspects across all addictive behaviors, notably evident in gambling addiction where these factors significantly shape chasing behavior—continuing gambling to recoup losses—indicative of problematic gambling. This study explores the correlation between chasing behavior, craving, affective decision-making, decision-making styles, and gambling severity among habitual Italian gamblers. Methods One hundred and sixty-six participants from diverse gambling venues completed assessments including the South Oaks Gambling Screen (SOGS), the Iowa Gambling Task (IGT), the General Decision-Making Style (GDMS), the Gambling Craving Scale (GACS), and a computerized task to measure chasing behavior. Participants were randomly assigned to Control and Loss chasing conditions. Results Regression analyses revealed craving as a predictor of chasing behavior. Interestingly, individuals with a dependent decision-making style exhibited lower tendencies to chase. While IGT performance correlates with chasing frequency, it is not associated with the decision to continue or cease gambling. Intriguingly, gambling severity (SOGS total score) did not feature in the final models of both regression analyses. Discussion These findings emphasize the significant role of craving in driving chasing behavior. Additionally, this study introduces, for the first time, the idea that a dependent decision-making style could potentially serve as a safeguard against chasing proneness. Conclusions The study suggests a fundamental dichotomy between chasers and nonchasers among gamblers, irrespective of gambling severity. This distinction could be instrumental in tailoring more effective intervention strategies for gambling disorder treatment.
... Little is known regarding the neurobiological basis of loss-chasing. An fMRI study has shown that decision to chase or quit involves two different cortical and sub-cortical systems (Campbell-Meiklejohn et al., 2008). Another study reported that STN DBS in PD patients decreases loss-chasing behaviour first and then increases it on a second game (Rogers et al., 2011). ...
... One fMRI study carried out during loss chasing performance revealed that the ventral medial prefrontal cortex (vmPFC) and the subgenual cingulate cortex (sgACC), associated with the anticipation of positive outcomes and appetitive states, show activity when deciding to chase as compared to deciding to quit (Campbell-Meiklejohn et al. 2008). ...
Article
The subthalamic nucleus (STN) is known to play a role in the control of impulsivity of action and in impulsivity of choice under certain conditions. In order to assess its influence on decision‐making under uncertainty, we have tested here the effects of bilateral STN lesions in rats performing a probability discounting task (PDT) and a “loss‐chasing” task, both tasks assessing risky decision under uncertainty, but one in a positive context (probability to obtain a larger reward), the other in a negative context (risk for a larger loss). The PDT measures the choice between a small certain and a large uncertain reward. Conversely, in the “loss‐chasing” task, animals choose between accepting a small certain loss versus risking a larger but uncertain penalty. The results show that STN lesions reduce risk‐taking in both the PDT and the loss‐chasing task, suggesting that STN inactivation could decrease risky decision‐making whatever the nature of the outcome in an ambiguous context. Interestingly, opposite results were found in a small number of animals for which the lesions extended to the area dorsal to the STN (in the zona incerta), such that these animals increased choice of the uncertain option in the PDT. These results confirm the specificity of STN involvement in these processes and may provide explanations for some side‐effects reported in patients when STN manipulations extend to the Zona Incerta. They also support the choice of the STN as a target for the treatment of impulse control disorders in Parkinson’s Disease and in obsessive compulsive disorders.
... People learn from experience and modulate their choices according to previous decision outcomes. Individuals tend to take more risks after losses than after wins (Ayton and Fischer, 2004;Brevers et al., 2017Brevers et al., , 2017Campbell-Meiklejohn et al., 2008;Dong et al., 2014;Losecaat Vermeer et al., 2014;Tversky and Kahneman, 2016;Xue et al., 2011), a pattern resembling the Gambler's fallacy (GF). GF refers to a misconception that a certain random event is less likely to happen after a series of the same event. ...
... GF refers to a misconception that a certain random event is less likely to happen after a series of the same event. It should be noted that the pattern of increased risk-taking following losses and decreased risk-taking following wins is known as "loss chasing" (Brevers et al., 2017;Campbell-Meiklejohn et al., 2008). However, considering that continued risk taking after losses has a similar pattern to the GF and arises from the GF cognitive bias (Dong et al., 2014;Xue et al., 2011), in this study, we termed this behavioral tendency as the "GF-like behavior" (Xue et al., 2011). ...
Article
Recent studies show that people exhibit a reduced decision bias in a foreign language relative to their native language. However, the underlying mechanism remains unknown. Using functional magnetic resonance imaging (fMRI) combined with an even-probability gambling task in which gambling feedback was presented in either a native language or a foreign language after each decision, we assessed the neural correlates of language modulated behavioral changes in decision making. In both foreign and native language contexts, participants showed a behavioral pattern resembles the Gambler's fallacy that losing a gamble leads to more betting than winning a gamble. While there was no language difference in gambling, bilateral caudate and amygdala gain signals were exaggerated by foreign language in relative to native language, suggesting that foreign language enhanced neural responses to rewards. Moreover, the individual difference in foreign language-induced Gambler's fallacy-like decision bias was associated with activation in the right amygdala and ventromedial prefrontal cortex, as well as functional connectivity between right amygdala and right putamen/right posterior insula. Our results confirm that outcome processing in emotion-related regions may underlie individual differences in foreign language effects in judgment and decision making.
... Theory and past research suggest that autonomously oriented gamblers are less absorbed with the results of gambling and are able to take the pleasure in gambling itself, regardless the outcomes (Chantal et al., 1994(Chantal et al., , 1995Clarke, 2004). Controlled oriented gamblers, on the other hand, are focused on winning and the rewards and prestige that come with wining suggesting they may be more likely to take risks and to chase rewards, thus increasing their tendency gamble problematically and experience harms (Breen & Zuckerman, 1999;Campbell-Meiklejohn et al., 2008;Mishra & Lalumière, 2017;Mishra et al., 2010). Finally, impersonally oriented gamblers are likely to experience strong negative affect and struggle with experiencing pleasure in life, which might lead to PG due to using gambling as a primary coping mechanism (Keough et al., 2018;Marchetti et al., 2019). ...
Article
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Gambling is common in the US, yet nearly one in three players experience gambling-related problems. Using Self-Determination Theory, this study explores how three causality orientations—autonomous, controlled, and impersonal—affect the severity of problem gambling. The study further investigates the mediating roles of nonattachment, dispositional greed, and anhedonia to illuminate how these orientations relate to problem gambling. The data from 675 participants (59% male; Mean age = 40.4 years, SD = 12.9) via Amazon's Mechanical Turk were collected following a screening procedure to identify at-risk players. Findings showed that dispositional greed mediated the impact of a controlled orientation on problem gambling severity, while anhedonia mediated the effect of impersonal orientation. Unexpectedly, nonattachment did not explain the effect of autonomous orientation on problem gambling, though a negative association was still observed. This research enhances understanding of how individual differences and causality orientations contribute to problem gambling behavior. The implications are discussed.
... Impaired behavioral adjustments following loss in gambling disorder have been well-documented. A notable phenomenon is loss chasing, 25,42,43 where gamblers amplify their betting after losses. Our results are consistent with loss-chasing, and our model captures this as a result of ignoring recent losses due to an over-reliance on slow learning. ...
Preprint
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Learning occurs across multiple timescales, with fast learning crucial for adapting to sudden environmental changes, and slow learning beneficial for extracting robust knowledge from multiple events. Here we asked if miscalibrated fast vs slow learning can lead to maladaptive decision-making in individuals with gambling disorder. Participants with problem gambling and a recreational gambling control group without any symptoms associated with problem gambling performed a probabilistic decision-making task involving reward-learning and loss-avoidance while being scanned with fMRI. Problem gamblers showed impaired reversal learning from losses compared to the control group, with excessive dependence on slow timescales and reduced reliance on fast timescales. fMRI data implicated the putamen, an area associated with habit, and medial prefrontal cortex (PFC) in slow loss-value encoding, with significantly more robust encoding in medial PFC in problem gamblers compared to controls. Problem gamblers also exhibited stronger loss prediction error encoding in the insular cortex. These findings suggest that individuals with problem gambling have an impaired ability to adjust their predictions following losses, manifested by a stronger influence of slow value learning. This impairment could contribute to the behavioral inflexibility of problem gamblers, particularly the persistence in gambling behavior typically observed in those individuals after incurring loss outcomes.
... Last, our findings of the type 2 DA neurons potentially provide insights into the neural mechanisms of psychiatric disorders in which DA is deeply involved [e.g., (56,57)]. For example, a fundamental feature of addiction is to continue to pursue a particular target despite negative consequences (57) [e.g., loss chasing in pathological gambling (58,59)]. RPE-type DA neurons may not be directly involved in the feature because they are inhibited by negative outcomes. ...
Article
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To obtain more of a particular uncertain reward, animals must learn to actively overcome the lack of reward and adjust behavior to obtain it again. The neural mechanisms underlying such coping with reward omission remain unclear. Here, we developed a task in rats to monitor active behavioral switch toward the next reward after no reward. We found that some dopamine neurons in the ventral tegmental area exhibited increased responses to unexpected reward omission and decreased responses to unexpected reward, following the opposite responses of the well-known dopamine neurons that signal reward prediction error (RPE). The dopamine increase reflected in the nucleus accumbens correlated with behavioral adjustment to actively overcome unexpected no reward. We propose that these responses signal error to actively cope with lack of expected reward. The dopamine error signal thus cooperates with the RPE signal, enabling adaptive and robust pursuit of uncertain reward to ultimately obtain more reward.
... There was a significant positive correlation between alexithymia and chasing loss. People with high levels of alexithymia tend to chase losses, and there are significant differences between alexithymia and non-alexithymia individuals in the neural structure of chasing losses (Bibby & Ross, 2017;Campbell-Meiklejohn et al., 2008). However, in the alexithymia structure, in addition to externally oriented thinking, difficulty in recognizing emotion and describing emotion were associated with loss chasing (Bagby et al., 1994). ...
... Perseveration on a PRL task has been linked to lower activity in the right vlPFC after positive and negative feedback (Ruiter et al., 2008). The vmPFC, which is active in healthy participants on monetary reward tasks such as the IGT and loss-chasing tasks, is important for tracking expected reward outcomes and reward processing (Campbell-Meiklejohn et al., 2008;Li et al., 2010). In GD, however, vmPFC activation is lower than in healthy individuals on such tasks and activity has been shown to be negatively correlated with gambling severity (Habib and Dixon, 2010;Reuter et al., 2005). ...
Thesis
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Reinforcement learning (RL) is the process by which an animal utilises its previous experience to improve outcomes of future choices by maximising reward and minimising punishment. This thesis investigates how RL processes are altered in psychiatric disorders such as major depressive disorder (MDD) and substance use disorder (SUD). The neural basis underlying RL is investigated using brain neuroimaging techniques and translational approaches in both rats and humans. Given the importance of RL and implicated cognitive impairments in psychiatric disorders such as cognitive inflexibility, this PhD thesis sets out to integrate relevant computational and neurobiological substrates, an objective that hitherto has not been widely researched. Chapter 3 presents the findings of a longitudinal study to investigate the behavioural and neural consequences of early-life maternal separation in rats as a way of simulating early life stress (ELS) in humans. The question addressed was whether early stress is necessary and sufficient for the development of stress-related behaviours relevant to depression. Animals underwent behavioural testing, including probabilistic reversal learning (PRL) to assess behavioural flexibility, and sequential fMRI to evaluate resting-state functional connectivity. Computational analyses revealed differences in reward and punishment learning rates in males arising from maternal separation (MS) and adulthood stress. In contrast, MS female rats showed differences in the 'stickiness' parameter, a latent variable aligned with a loss of flexibility and habit-like behaviour. Finally, MS females and MS males have opposite directional changes in connectivity, as females show lower functional connectivity from the amygdala to the anterior cingulate cortex, infralimbic cortex and insular cortex compared to males. The subsequent chapter uses a computational approach to investigate latent vulnerability variables in cocaine addiction. A longitudinal dataset acquired in rats was analysed, which involved behavioural phenotyping for several addiction vulnerability traits, including behavioural inflexibility, together with high-resolution MRI brain scans. It was found that future drug-related compulsivity was predicted by higher values of the stickiness parameter, reflecting an increase in perseverative responding commonly found in stimulant-dependent individuals. Structurally, a positive correlation between the volume of the anterior insular cortex and a parameter relating to how subjects explore versus exploit reward options was found. The remaining results chapters involve the analysis of three datasets collected from human participants. Chapter 5 includes data from a study involving PRL run concurrently with fMRI scanning. The participants in this study included healthy controls (HCs), as well as individuals with cocaine use disorder (CUD) and gambling disorder (GD). Contrary to previously published findings, no significant differences in alpha, beta or kappa were observed between controls and the CUD group. However, in pathological gamblers, a significant increase in side stickiness was found, showing that gamblers tend to repeat responding in the same spatial location regardless of the outcome on previous trials. Neurally, there is an altered balance in the tracking of reward and punishment expected value (EV) in GD, as well as a shifted balance in processing positive and negative punishment prediction errors (PPE) in CUD. Reward EV tracking in GD involved greater activity in the middle temporal gyrus, cingulate gyrus, precuneus cortex and amygdala, whereas during punishment EV tracking there was lower activity in the postcentral gyrus, superior parietal lobule and precuneus cortex compared to HCs. In response to positive PPEs, the frontal pole, superior frontal gyrus and cingulate gyrus showed lower activity in patients with CUD than controls, but the same group showed greater activity following negative PPEs in the superior and middle frontal gyrus. Chapter 6 includes behavioural and clinical data from samples of patients with SUD and/or MDD as well as healthy individuals. The main findings of this chapter were that patients with SUD have reduced reinforcement sensitivity and increased stimulus stickiness, as do patients diagnosed with both disorders. No evidence for an association between computationally derived variables and clinical measures (e.g., the Inventory of Depressive Symptomatology – IDS) was found. The final results chapter presents a novel behavioural task that measures a different subtype of proactive cognitive flexibility, specifically, how healthy participants make decisions in the face of uncertainty and whether they shift their response when they are given the opportunity to repeat their choice following presentation of unreliable feedback. Participants changed their response more frequently following negative than positive feedback. Significant fMRI activations in the frontal pole, anterior cingulate cortex, frontal orbital cortex, and superior frontal gyrus were found when the response was changed rather than repeated. Furthermore, stronger connectivity between the anterior insula and parts of the occipital cortex was found during repeat trials. Finally, it was shown using a multivariate pattern fMRI analysis that behavioural responses on the next trial could be successfully predicted. The results in this thesis demonstrate the importance of RL in preclinical and clinical psychiatric cohorts. The parameter kappa is identified as a key behavioural marker across species. This parameter is altered as a result of ELS in rodents and can help predict rats that show high-compulsive behaviours on cocaine self-administration paradigms. In humans, kappa is affected in individuals with GD as well as SUD. Brain regions underlying RL parameters, including kappa, in both rodents and humans are identified, particularly highlighting the involvement of the cingulate gyrus in reinforcement learning across species. The results from the reversal learning task studies are then compared with findings from the behavioural and fMRI analyses of a new flexibility task, which extend our knowledge of cognitive flexibility beyond our current understanding of this construct.
... The dACC has been implicated in integrating and learning the risk of an action to optimize decision-making (Bush et al., 2002;Kennerley et al., 2006;Rushworth et al., 2004). The dACC showed higher activation during decisions to quit vs. to chase losses (Campbell-Meiklejohn et al., 2008), suggesting dACC's role in processing negative outcomes for behavioral adjustment. Prior studies also demonstrated co-activation of the rAI and dACC during the anticipation of an electric shock (Chua et al., 1999). ...
Article
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Reward and punishment motivate decision making and behavioral changes. Numerous studies have examined regional activities during anticipation and outcome of win and loss in the monetary incentive delay task (MIDT). However, the great majority of studies reported findings of anticipation or outcome and of win or loss alone. It remains unclear how the neural correlates share and differentiate amongst these processes. We conducted an Activation Likelihood Estimation meta-analysis of 81 studies of the MIDT (5,864 subjects), including 24 published since the most recent meta-analysis, to identify and, with conjunction and subtraction, contrast regional responses to win anticipation, loss anticipation, win outcome, and loss outcome. Win and loss anticipation engaged a shared network of bilateral anterior insula (AI), striatum, thalamus, supplementary motor area (SMA), and precentral gyrus. Win and loss outcomes did not share regional activities. Win and loss outcome each engaged higher activity in medial orbitofrontal cortex (mOFC) and dorsal anterior cingulate cortex. Bilateral striatum and right occipital cortex responded to both anticipation and outcome of win, and right AI to both phases of loss. Win anticipation vs. outcome engaged higher activity in bilateral AI, striatum, SMA and precentral gyrus and right thalamus, and lower activity in bilateral mOFC and posterior cingulate cortex as well as right inferior frontal and angular gyri. Loss anticipation relative to outcome involved higher activity in bilateral striatum and left AI. These findings collectively suggest shared and distinct regional responses during monetary wins and losses. Delineating the neural correlates of these component processes may facilitate empirical research of motivated behavior and dysfunctional approach and avoidance in psychopathology.
... Due to the lack of a neutral baseline, we cannot distinguish between these two effects here. Accordingly, two explanations (not mutually exclusive) may account for the smaller effect for highly involved gamblers: the high-involvement group may be less sensitive to wins, and/or they may be less sensitive to losses (e.g., [49,50]). Future research may utilize simulated gambling tasks that include neutral outcomes (e.g., [25]), and examine how the two effects may be related to gamblers' level of involvement. ...
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The tendency to continue or intensify gambling after losing (loss-chasing) is widely regarded as a defining feature of gambling disorder. However, loss-chasing in real gambling contexts is multifaceted, and some aspects are better understood than others. Gamblers may chase losses between multiple sessions or within a single session. Furthermore, within a session, loss-chasing can be expressed in the decision of (1) when to stop, (2) how much stake to bet, and (3) the speed of play after winning and losing. Using a large player-tracking data set (>2500 players, >10 million rounds) collected from the online commercial game Mystery Arena, we examined these three behavioral expressions of within-session loss-chasing. While the first two aspects (when to stop and how much stake to bet) have been examined previously, the current research is the first large-scale study to examine the effects of wins and losses on the speed of play in real gambling. The players were additionally assigned different involvement levels by the operator based on their gambling behavior on the operator’s own platform, which further allowed us to examine group differences in loss-chasing. We found that after winning, both the high- and low-involvement groups were less likely to stop, and increased the stake amount, thus showing win-chasing instead of loss-chasing in these two facets. After losing, both groups played more quickly though, which may reflect an urge to continue gambling (as an expression of loss-chasing). Wins and losses had a smaller influence on the speed of play for the high-involvement players, suggesting that they might have reduced sensitivity to wins and/or losses. Future work can further examine chasing in different gambling products and in people with gambling problems to assess the generalizability of these findings.
... Two participants described that they chased wins, and three participants that they continued to gamble to win back money they lost. The gambling activity itself was also described in relation to emotional events, where placing a bet was associated with excitement, winning with euphoria and a kick, and losing with anxiety and a lust for revenge; findings that are in line with a functional magnetic resonance imaging study by Campbell-Meiklejohn et al. [54]. Chasing, in particular chasing losses, has been proposed as a key symptom of GD [55], although experimental studies investigating this phenomenon seem rare [29]. ...
Article
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Background From a clinical perspective, knowledge of the psychological processes involved in maintaining gambling disorder has been lacking. This qualitative study formulated hypotheses on how gambling disorder is maintained by identifying clinically relevant behaviors at an individual level, as a means to guide the development of new cognitive behavioral interventions. Methods Six individuals from a treatment study, diagnosed with gambling disorder and with diverse symptom profiles of psychiatric comorbidity, were recruited. Participants were interviewed using an in-depth semi-structured functional interview and completed self-report measures assessing gambling behavior. Results Functional analysis was used as a theoretical framework for a thematic analysis, which yielded the following categories: 1) antecedents that may increase or decrease gambling; 2) experiences accompanying gambling; 3) control strategies; 4) consequences of gambling behavior; and 5) events terminating gambling behavior. Few differences were identified in relation to symptom profiles of psychiatric comorbidity, although some gamblers did not report experiencing abstinence when not being able to gamble. Conclusions Gambling is a secluded activity mainly triggered by access to money. Positive and negative emotions could be both antecedents and functions of gambling behavior. Avoidance-based strategies used to control gambling might result in a failure to learn to control gambling behavior. Anticipation, selective attention, and chasing could be important reinforcers, which should be addressed in new developments in cognitive behavioral treatment for gambling disorder.
... This finding has been supported by subsequent studies in verified paradigms [21,22]. Moreover, the dFMC is also involved in the suppression of cigarette cravings [23] and gambling desires [24]. However, intentional inhibition is expressed by stopping or withdrawing an action. ...
Article
Numerous findings from functional neuroimaging research suggest that overweight may be associated with alterations in reactive inhibition. However, there is a dearth of research investigating the functional connectivity that mediates intentional inhibition in overweight individuals. To explore this issue, 55 overweight and 45 normal-weight adults completed an assessment consisting of a resting-state functional magnetic resonance imaging scan, a behavioural task measuring food-specific intentional inhibition, and a 1-year longitudinal measurement of BMI change. A seed-based approach was employed to examine the group-difference of the resting-state functional connectivity (rsFC) of the medial frontal cortex (MFC) (dorsal fronto-medial cortex [dFMC], pre-supplementary motor area, and premotor cortex) regions involved in intentional inhibition. Compared with normal-weight adults, the overweight individuals exhibited higher rsFC between the MFC seeds and (i) cerebellum, (ii) postcentral gyrus, (iii) middle temporal gyrus, and (iv) posterior cingulate cortex, while lower rsFC strength were observed between MFC seeds and (i) putamen and (ii) insula. The overweight individuals with higher dFMC–cerebellum rsFC strength showed poorer performance in food-specific intentional inhibition and gained more weight a year later than those of normal-weight participants. Results suggested that altered functional connections between MFC and regions associated with reward and maladaptive eating may be key neural mechanisms of food-specific intentional inhibition in overweight status. Therefore, individuals are encouraged to make informed decisions about their health and reduce their consumption of obesogenic foods from the perspective of intentional inhibition.
... Previous studies have reported irrational behavior during gambling (i.e., chasing losses), whereby people make riskier decisions after a loss than a win, and decide to continue gambling despite considerable losses. [51][52][53] It is possible that these differences may affect the decisions or neural activity of PGs during the next decision phase. ...
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Gambling disorder and problem gambling are characterized by persistent and repetitive problematic gambling behavior. Attentional bias toward gambling-related stimuli such as casino chips, dice, roulette, etc. have been observed in problem gamblers, but it remains unclear whether stimuli in gambling tasks elicit greater attention and pupillary responses in problem gamblers. To address this issue, we administrated problem and non-problem gamblers a gambling task accompanied by eye-tracking measurements, in which the participants were required to choose one of the paired pictures to receive monetary rewards and avoid punishments. Concerning attentional allocation, problem gamblers showed a greater attentional preference for the right-hand pictures in the decision and feedback phases, and compared to non-problem gamblers, problem gamblers’ attention was particularly high around the center. Concerning pupillary dynamics, pupillary dilation in response to rewards and punishments was observed only in problem gamblers. Accordingly, asymmetrical allocation of attention by problem gamblers may reflect greater concentration on the gambling task, and pupillary dynamics in problem gamblers may reflect hypersensitivity to wins and losses.
... Two participants described that they chased wins, and three participants that they continued to gamble to win back money they lost. The gambling activity itself was also described in relation to emotional events, where placing a bet was associated with excitement, winning with euphoria and a kick, and losing with anxiety and a lust for revenge; ndings that are in line with a functional magnetic resonance imaging study by Campbell-Meiklejohn et al. (54). Chasing, in particular chasing losses, has been proposed as a key symptom of GD (55), although experimental studies investigating this phenomenon seem rare (29). ...
Preprint
Full-text available
Background From a clinical perspective, knowledge of the psychological processes involved in maintaining gambling disorder has been lacking. This qualitative study formulated hypotheses on how gambling disorder is maintained by identifying clinically relevant behaviors at an individual level, as a means to guide the development of new cognitive behavioral interventions. Methods Six individuals from a treatment study, diagnosed with gambling disorder and with diverse symptom profiles of psychiatric comorbidity, were recruited. Participants were interviewed using an in-depth semi-structured functional interview and completed self-report measures assessing gambling behavior. Results Functional analysis was used as a theoretical framework for a thematic analysis, which yielded the following categories: 1) antecedents that may increase or decrease gambling; 2) experiences accompanying gambling; 3) control strategies; 4) consequences of gambling behavior; and 5) events terminating gambling behavior. Few differences were identified in relation to symptom profiles of psychiatric comorbidity, although some gamblers did not report experiencing abstinence when not being able to gamble. Conclusions Gambling is a secluded activity mainly triggered by access to money. Positive and negative emotions could be both antecedents and functions of gambling behavior. Avoidance-based strategies used to control gambling might result in a failure to learn to control gambling behavior. Anticipation, selective attention, and chasing could be important reinforcers, which should be addressed in new developments in cognitive behavioral treatment for gambling disorder.
... Previous studies (i.e., Challet-Bouju et al., 2020;Perrot et al., 2018) have operationalized chasing losses using the metric of frequent depositing (which was also used in the present study). Chasing losses has been described as an important risk factor for problem gambling in several studies (e.g., Campbell-Meiklejohn et al., 2008;Lesieur, 1979). The present study analyzed the influence of the amount lost before a mandatory play break on the propensity to deposit and wager afterwards. ...
Article
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In recent years, various novel responsible gambling (RG) tools have been implemented to aid harm-minimization. One such RG tool has been the implementation of enforced mandatory play breaks. Despite many responsible gambling operators using mandatory play breaks, only three previous studies have examined their efficacy and the findings were mixed. Therefore, the present investigation was a large-scale real-world study which was designed to see whether a 60-minute mandatory play break influenced subsequent depositing and wagering. The authors were given access to 27 days of player data prior to the introduction of a mandatory play break and 27 days of player data after the mandatory play break was introduced. The study comprised British online gamblers from Skillonnet (a European online gambling operator). Between July 23 and September 15 (2021), 2,021 players deposited at least ten times or more on a calendar day, at least once. The 2,201 players generated 2,994 corresponding events (i.e., the depositing of money at least 10 times in one day). The percentage of players who stopped depositing money as a consequence of the mandatory play break rose from 27% to 68% on the day of a play break. Moreover, the percentage of players who stopped wagering as a consequence of the mandatory play break rose from 0.1% to 45% on the day of a play break. The findings of the present study demonstrated that a 60-minute mandatory play break impacts players' depositing and wagering immediately after the play break. This means that a mandatory hour-long play break in an online casino setting appears to prevent overspending during a short period of time. The effects of a 60-minute mandatory break on the next day's behavior were inconclusive.
... Finally, the whether component controls the conscious inhibition of action generation. Here, Brass and Haggard (2007) found evidence of a distinct area in the dorsal fronto-median cortex (dFMC), located in proximity to the RCZ and preSMA, that activates in conjunction with the inhibition of actions, or self-control in gambling situations (Campbell-Meiklejohn et al., 2008). They identified further inhibitory activity in the insula, as well as the frontal cortex in general (Walsh et al., 2010). ...
Thesis
The main goal of neuroscience is to bridge the gap from “membrane” to “mind” via empirical research that elucidates the functional processes from neuron to brain, or theoretical models that frame the cognitive flow from thought to action. Yet, in spite of great, technology-enabled advances in our knowledge of basic neural mechanisms, we still struggle to understand how abstract higher-order cognitive functions such as intention formation finally give rise to goal-directed behavior. Likewise, how external stimuli may precipitate subconscious, yet purposeful action remains unclear. The reasons for these difficulties are both methodological and conceptual in nature and might, in both cases, stem from neglect to account for the multiscale organizational elements in the human brain: for instance, connectivity analyses based on functional MRI (fMRI) routinely pre-process data with an arbitrarily selected single spatial filter, thereby obscuring cortical activity at other observation scales; similarly, signal sampling for BCI applications is usually limited to single lower-order processing areas, although neuronal correlates of intention are more likely to be distributed across higher-order association regions. This doctoral thesis investigates the spatial multiscale dimension of neocortical network activity as observed via fMRI recordings and devises an integrative hierarchical model of intention formation informed by neuroscientific evidence and philosophical concepts established in the field of action theory. Multiscale, surface-constrained pre-processing of movement-related data reveals spatiotemporal features of the hemodynamic response previously unknown in spite of the ubiquitous use of fMRI as an investigative tool: the biphasic response function underlying the majority of fMRI studies in the past 20 years is called into question, as the post-stimulus response undershoot is shown as a surround effect absent from higher-order processing areas; these multiscale data sets also lend themselves to the analysis of cortical networks and the scale-dependent variability of interregional network connections, indicating a possible relation to different levels of the processing hierarchy. Finally, the current neuroscientific and philosophical theories on intention formation are contrasted with each other, and suggested to reflect two opposed, yet complementing streams of top-down and bottom-up influences that scale across time and brain regions as they become integrated in a dynamic process before resulting in intentional, goal-directed action.
... Moreover, the differences in processing losses in GD would be explained by decreased activation of the dorsal anterior cingulate cortex (BA 34) involved in chasing losses. This would lead patients with GD to an impaired cognitive control when gambling, and to a deficit in stopping chasing losses at the next gambling opportunity (Campbell-Meiklejohn et al., 2008). Additionally, studies included in our systematic review investigating cue reactivity in GD mainly reported a functional hyperactivation in the areas related to visual processing (medial occipital gyrus) and motivation (anterior cingulate cortex). ...
Article
Previous imaging studies suggested that impairments of prefrontal-striatal and limbic circuits are correlated to excessive gambling. However, the neural underpinnings of gambling disorder (GD) continue to be the topic of debate. The present study aimed to identify structural changes in GD and differentiate the specific brain activity patterns associated with decision-making and reward-processing. We performed a systematic review complemented by Activation likelihood estimation (ALE) meta-analyses on morphometric and functional studies on neural correlates of GD. The ALE meta-analysis on structural studies revealed that patients with GD showed significant cortical grey-matter thinning in the right ventrolateral and ventromedial prefrontal cortex compared to healthy subjects. The ALE meta-analyses on functional studies revealed that patients with GD showed a significant hyperactivation in the medial prefrontal cortex and in the right ventral striatum during decision-making and gain processing compared to healthy subjects. These findings suggest that GD is related to an alteration of brain mechanisms underlying top-down control and appraisal of gambling-related stimuli and provided indications to develop new interventions in clinical practice.
... In turn, the previous defeat has a positive and significant impact on subjects voting for conflict in the "50:50" treatment. This indicates loss-chasing, when individuals continue gambling to recover a loss even at the risk of doubling its size ( Campbell-Meiklejohn et al., 2008 ). ...
Article
Understanding how resource scarcity affects violent conflict over resources has been one of the central topics in economics and other social sciences for decades. Yet, we know surprisingly little about how resource scarcity affects individual behaviour that can spur inter-group conflict. To address this gap, we propose the common-pool experiment with renewable resources to study how incentives to engage in conflict change with resource depletion. Moreover, we examine how the possibility of conflict affects extraction. Each round, after harvesting, the players vote on whether to engage in conflict with the opponent group, in which they can annex a part of the opponent group's resource. The probability of winning varies between treatments. In the "50:50" treatment, to which we refer to as a baseline, the probability of winning is exogenous and equal for each party. In the "conflict-by-greed" treatment, the probability is proportional to the difference in resources between groups. Finally, in the "resource wars" treatment, the likelihood of winning depends on the number of tokens invested by each group in conflict. Experimental results show that "conflict-by-greed" promotes resource conservation. Subjects extract less resources compared to the baseline so as to increase chances of winning in war, which supports the parochial altruism hypothesis. Here, resource depletion is conducive to conflict , which distinguishes "conflict-by-greed" from other treatments. In addition, we find that "resource wars" are extremely destructive. Not only is conflict expenditure above the equilibrium, but also investing in conflict makes group members increase their extraction. As a result, the probability of resource exhaustion in the "resource wars" treatment is twice as high as in the baseline. We discuss how differences in uncertainty and the incentive structure between treatments explain these findings.
... A series of imaging and psychopharmacological studies by Rogers and colleagues used a doubleor-quits ('Martingale') task to operationalize chasing decisions more directly. Participants receive an initial loss, and then make a series of choices to either accept that loss or take a gamble to recover the loss, with a risk of doubling its value (55,56). In a proof of principle study in healthy participants, quitting decisions resulted in large cortical activation including anterior insula, dorsal anterior cingulate cortex, and parietal cortex (55), while chase decisions yielded a more focal response in ventromedial prefrontal cortex and subgenual anterior cingulate cortex, which typically represent subjective reward value. ...
Article
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Loss-chasing describes the tendency of a gambler to amplify their betting in an effort to recoup prior losses. It is widely regarded as a defining feature of disordered gambling, and a hallmark of the transition from recreational to disordered gambling. We consider the empirical evidence for this central role of loss-chasing in disordered gambling. We highlight multiple behavioural expressions of chasing, including between-session and within-session chasing. From a neurocognitive perspective, loss-chasing could arise from compromised executive functions including inhibitory control, mood-related impulsivity (urgency) and compulsivity, for which there is compelling evidence in disordered gambling. This view is contrasted with a behavioural economic perspective that emphasizes the subjective valuation of outcomes to the gambler, and may better account for nuances in gamblers’ complex response to loss, such as the significance of ‘breaking even’. Neuroimaging and psychopharmacological research on loss-chasing may help to arbitrate between these two perspectives.
... In our own work, we did not observe any systematic change in confidence on feedback streaks, but when the response was switched to a monetary bet, participants responded to losing streaks by increasing their bet size (Studer et al. 2015). This was interpreted as loss chasing, an attempt to recoup accumulating debts by increasing one's bet, which is itself a clinical hallmark of disordered gambling (Campbell-Meiklejohn et al. 2008;Temcheff et al. 2016). A study by Ball (2012) described subsets of participants who increased their bet size on losing streaks (either linearly or curvi-linearly), while others responded with increased wagering to winning streaks. ...
Article
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Rationale Gambling and alcohol use are recreational behaviours that share substantial commonalities at a phenomenological, clinical and neurobiological level. Past studies have shown that alcohol can have a disinhibiting effect on gambling behaviour, in terms of bet size and persistence. Objectives This study was conducted in order to characterise how alcohol affects biases in judgment and decision-making that occur during gambling, with a focus on sequential decision-making including the gambler’s fallacy. Methods Sequential biases were elicited via a roulette-based gambling task. Using a standard between-groups alcohol challenge procedure, male participants played the roulette task 20 min after receiving an alcoholic (0.8 g/kg; n = 22) or placebo (n = 16) beverage. The task measured colour choice decisions (red/black) and bet size, in response to varying lengths of colour runs and winning/losing feedback streaks. Results Across both groups, a number of established sequential biases were observed. On colour choice, there was an effect of run length in line with the gambler’s fallacy, which further varied by previous feedback (wins vs losses). Bet size increased with feedback streaks, especially for losing streaks. Compared to placebo, the alcohol group placed higher bets following losses compared to wins. Conclusions Increased bet size after losses following alcohol consumption may reflect increased loss chasing that may amplify gambling harms. Our results do not fit a simple pattern of enhanced gambling distortions or reward sensitivity, but help contextualise the effects of alcohol on gambling to research on decision-making biases.
... One approach to reducing problem gambling may be to attempt to emphasize losses. This may be difficult to accomplish, however, especially given the human tendency to chase losses (Campbell-Meiklejohn, Woolrich, Passingham, & Rogers, 2008), the tendency to risk more on trying to recoup losses than to obtain gains (prospect theory; Kahneman & Tversky, 1979). ...
Article
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When humans engage in commercial gambling, they are making suboptimal choices because the return is typically less than the investment. Pigeons and rats too show suboptimal choice, for example, when pigeons choose between one alternative that 20% of the time provides them with a signal for 100% reinforcement and a second alternative that provides them with a signal for 50% reinforcement. The pigeons’ strong preference for the suboptimal choice is controlled primarily by the value of the signal that predicts reinforcement (a win), rather than how often it occurs (the probability of a win or a loss). A second mechanism, positive contrast between reinforcement expected and obtained, also appears to play a role. Suboptimal choice appears to be related to impulsivity and is correlated with the degree to which reinforcers are discounted by delays. Motivation also plays a role as pigeons on a more restricted diet choose more suboptimally than pigeons on a less restricted diet. In addition, pigeons that spent some time in an enriched environment choose less suboptimally than unenriched pigeons. Research conducted with this animal model of gambling may have implications for the treatment of problem gambling behavior by humans.
... Enhancing the subjective probability of recouping one's losses by perceiving such an outcome as controllable (and/or perceiving further losses as avoidable) would undermine the negative somatic states which would otherwise arise following a losing outcome. Consistent with this suggestion, decisions to quit are associated with increased AI and IPS activity compared with decisions to chase losses (Campbell-Meiklejohn, Woolrich, Passingham, & Rogers, 2008). Manipulation of reward probabilities, which in an evolutionary environment may be effective in invigorating risk-taking behaviour which could have advantageous consequences, may, in a modern gambling situation, lead to a destructive cycle of mounting losses. ...
Article
In this paper I postulate that the processing of concepts which are deemed controllable is rooted in neurological machinery located in the posterior parietal cortex specialised for the processing of objects which are immediately actionable because they are within reach. This is demonstrated with reference to the near‐miss effect in gambling behaviour, where it is argued that the configurative proximity of the near‐miss outcome to the win outcome creates the impression that the win outcome is ‘almost within reach' or controllable. The perceived realisability of the desired outcome increases subjective reward probability and the associated expected action value, which impacts decision‐making and behaviour. When extended to substance addiction, this novel hypothesis adds fresh insight into understanding the motivational effects associated with cue‐exposure and opportunity for drug‐taking. Moreover, by postulating that a perception of control can be generated to minimise unpleasant affective states, it can also reconcile contrasting models of decision‐making and provide a neurological explanation for the efficacy of mindfulness‐based techniques in treating addictions. With reference to the previously‐hypothesised link between the self and control, these ideas can provide an explanation for the increased subjective value of self‐associated concepts in the ‘endowment effect', as well as a neurological correlate for the concept of the ‘narrative self'. This paper therefore provides an innovative and unifying perspective for the study and treatment of behavioural and substance addictions as well as contributing to our neurological understanding of philosophical approaches to the self. This article is protected by copyright. All rights reserved.
... Tanaka et al. [69] also reported an increasing deactivation in VMPFC in proportion to the amount of goal-based processing during an instrumental reinforcement learning task. fMRI studies of self-control in dieting [70] or addiction [71] have also reported deactivations in this region when implementing a top-down strategy to inhibit prepotent responses. Furthermore, functional connectivity between VMPFC and DLPFC has been reported in other studies [72][73][74]. ...
Article
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Reinforcement learning studies in rodents and primates demonstrate that goal-directed and habitual choice behaviors are mediated through different fronto-striatal systems, but the evidence is less clear in humans. In this study, functional magnetic resonance imaging (fMRI) data were collected whilst participants (n = 20) performed a conditional associative learning task in which blocks of novel conditional stimuli (CS) required a deliberate choice, and blocks of familiar CS required an intuitive choice. Using standard subtraction analysis for fMRI event-related designs, activation shifted from the dorso-fronto-parietal network, which involves dorsolateral prefrontal cortex (DLPFC) for deliberate choice of novel CS, to ventro-medial frontal (VMPFC) and anterior cingulate cortex for intuitive choice of familiar CS. Supporting this finding, psycho-physiological interaction (PPI) analysis, using the peak active areas within the PFC for novel and familiar CS as seed regions, showed functional coupling between caudate and DLPFC when processing novel CS and VMPFC when processing familiar CS. These findings demonstrate separable systems for deliberate and intuitive processing, which is in keeping with rodent and primate reinforcement learning studies, although in humans they operate in a dynamic, possibly synergistic, manner particularly at the level of the striatum.
... Despite its importance in the development of problem gambling, the role of chasing has been largely neglected empirically, apart from a few studies that have observed the existence of a relationship between chasing and irrational beliefs (Campbell-Meiklejohn, Woolrich, Passingham, & Rogers, 2008;Griffiths & Whitty, 2010), impulsivity (e.g., Breen & Zuckerman, 1999), lack of emotional competence (Bibby, 2016), dysfunctional personality traits (Kim & Lee, 2011;Nigro, Ciccarelli, & Cosenza, 2018a), dissociation (Yakovenko, 2017), the motivation to win money (Campbell-Meiklejohn et al., 2012;Gainsbury, Suhonen, & Saastamoinen, 2014;Lister, Nower, & Wohl, 2016), decision-making impairments (Nigro, Ciccarelli, & Cosenza, 2018b), and increasing stake size (Parke, Harris, Parke, & Goddard, 2016). ...
Article
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Background and aims: Chasing refers to continued gambling in an attempt to recoup previous losses and is one of the diagnostic criteria for gambling disorder. However, research on the topic is still in its infancy. This study investigated whether chasing behavior mediates the relationship between time perspective and gambling severity. Methods: Non-problem gamblers (N = 26) and problem gamblers (N = 66) with the same demographic features (age and gender) were compared on the Consideration of Future Consequences and a computerized task assessing chasing. The Italian South Oaks Gambling Screen was used to discriminate participants in terms of gambling severity. Results: Significant correlations were found relating to gambling severity, chasing, and time perspective. More specifically, the results showed that problem gamblers reported more chasing and a foreshortened time horizon. Chasers, compared to non-chasers, were found to be more oriented to the present. Regression analysis showed that male gender, present-oriented time perspective, and chasing were good predictors of gambling severity. Finally, to clarify if present orientation was on the path from chasing to gambling severity or if chasing was the mediator of the impact of present orientation on gambling severity, a path analysis was performed. The results indicated that present orientation had a direct effect on gambling severity and mediated the relationship between chasing and gambling involvement. Conclusion: The findings support the exacerbating role of chasing in gambling disorder and for the first time show the relationship of time perspective, chasing, and gambling severity among adults.
... As a condition, a gambling disorder is associated with destroyed careers, broken marriages, financial ruin (Blaszczynski & Nower, 2002), and increased risk of suicide (Newman & Thompson, 2003) . In comparison to the recreational gambler, the pathological gambler displays a different array of behaviors, such as "loss-chasing" (Campbell-Meiklejohn, Woolrich, Passingham, & Rogers, 2008), repeated unsuccessful efforts to stop gambling and frequent lies (Denis, Fats eas, & Auriacombe, 2012). At the same time, gambling serves as a troublefree exciting recreational activity for millions of people and as an industry, provides employment and tax revenues, generating economic contributions that benefit the community (Mawhinney, 2006). ...
Article
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Gambling is a field that harbors both harmless recreational activities and pathological varieties that may be considered an addictive disorder. It is also a field that deserves special interest from a learning theoretical perspective, since pathological gambling represents both a pure behavioral addiction involving no ingestion of substances and behavior that exhibits extreme resistance to extinction. As the field of applied psychology of learning, or behavior analysis, espouses a bottom-up approach, the basis of understanding begins in basic research on behavioral principles. This article provides a narrative review of the field of laboratory experiments conducted to disentangle the learning processes of gambling behavior. The purpose of this review is to give an overview of learning principles in gambling that has been demonstrated under lab conditions and that may be of importance in the development of clinical applications when gambling has become a problem. Several processes, like the importance of delay and probability discounting, reinforcement without actual winning, and rule governed behavior have been experimentally verified. The common denominator appears to be that they impede extinction. Other areas, especially Pavlovian conditioning, are scarce in the literature. Our recommendations for the future would be to study Pavlovian and instrumental conditioning in interaction. Treatment programs should profit from strategies that serve to enhance extinction learning. We also conclude that online gambling should provide a promising environment for controlled research on how to limit excessive gambling, provided that the gambling companies are interested in that.
... Nadir kumar oynayanlarda bilişsel çarpıtmalar nadiren bulunurken, bazı araştırmalar bu çarpıklıkların PKO'lı bireylerde şiddetlendiğini ve sık rastlandığını göstermiştir (89,90). Sağlıklı kontrollerde, ventromedial Prefrontal Korteks (vmPFC) ve dorsal anterior singulat kortekste (DACC) aktivite "kayıpları kovalamayı" seçmekle ilişkili bulunmuştur (91). Farklı bir çalışmada, sık kumar oynayan ve PKO bireyler sağlıklı kontroller ile karşılaştırılmış ve kayıp-takip koşullarında karar vermenin düzenlenmesi ile ilgili olan frontal kortikal bölgelerde ve DACC aktivitenin azaldığı saptanmıştır (89). ...
Article
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Psychopathologically, the concept of addiction in the terminology of psychiatry has gained a different perspective as a result of behavioral research under the influence of behavioral approaches. Neuroimaging, processing of neurobiological data has contributed to this change in the last 10 years, as the data on comorbidity, inheritance, tolerance, withdrawal symptoms and treatment outcomes among addictions show similarities. Gambling addiction was also affected by this change and new perspectives on the etiology, diagnostic criteria and treatment were developed. With the recently published Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5), gambling addiction was included in the category of addictions and under the heading "Non-substance related disorder" in the category "Drug-Related and Addictive Disorders". This new point of view is likely to be gambling addiction, perhaps leading to the fact that behavioral addictions such as internet use, playing video games, eating and shopping can be evaluated within the context of addiction, and will develop a new perspective on behavioral addictions. The aim of this article is to review gambling disorder within the axis of DSM-5 and assess it from the viewpoint of diagnosis, epidemiology, etiology, comorbidity and treatment.
... In the long run, this illusion could contribute to 'loss chasing' in pathological gambling, where individuals continue gambling to recover previous losses (Clark et al., 2013). Cognitive distortions typical in gambling have been associated with recruitment of the reward circuitry (Campbell-Meiklejohn et al., 2008;Clark et al., 2009;Xue et al., 2011). It has been found that individuals with pathological gambling tend to show increased illusion of control in associative learning task where the probability of a desired outcome is pseudorandomly determined independent from the actions taken (Orgaz et al., 2013). ...
Article
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Perceived control can be broadly defined as the belief in one’s ability to exert control over situations or events. It has long been known that perceived control is a major contributor toward mental and physical health as well as a strong predictor of achievements in life. However, one issue that limits a mechanistic understanding of perceived control is the heterogeneity of how the term is defined in models in psychology and neuroscience, and used in experimental settings across a wide spectrum of studies. Here, we propose a framework for studying perceived control by integrating the ideas from traditionally separate work on perceived control. Specifically, we discuss key properties of perceived control from a reward-based framework, including choice opportunity, instrumental contingency, and success/reward rate. We argue that these separate reward-related processes are integral to fostering an enhanced perception of control and influencing an individual’s behavior and well-being. We draw on select studies to elucidate how these reward-related elements are implicated separately and collectively in the investigation of perceived control. We highlight the role of dopamine within corticostriatal pathways shared by reward-related processes and perceived control. Finally, through the lens of this reward-based framework of perceived control, we consider the implications of perceived control in clinical deficits and how these insights could help us better understand psychopathology and treatment options.
... Chasing to recoup losses is the most commonly reported diagnostic criteria for problem gambling, observed in 84.1% of disordered gamblers (Toce-Gerstein et al., 2003). Chasing behavior appears to be correlated with higher levels of impulsivity and has been found to be associated with increased activity in brain areas linked to expectation of reward and incentive motivation (Breen & Zuckerman, 1999;Campbell-Meiklejohn et al., 2008). It is perhaps for this reason that near misses have been shown to play an important role in chasing behavior in both human and animal studies (Côté, Caron, Aubert, Desrochers, & Ladouceur, 2003;Peters, Hunt, & Harper, 2010). ...
Article
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Chasing” behavior, whereby individuals, driven by a desire to break even, continue a risky activity (RA) despite incurring large losses, is a commonly observed phenomenon. We examine whether the desire to break even plays a wider role in decisions to stop engaging in financially motivated RA in a naturalistic setting. We test hypotheses, motivated by this research question, using a large data set: 707,152 transactions of 5,379 individual financial market spread traders between September 2004 and April 2013. The results indicate strong effects of changes in wealth around the break‐even point on the decision to cease an RA. An important mediating factor was the individual's historical long‐term performance. Those with a more profitable trading history were less affected by a fall in cash balance below the break‐even point compared to those who had been less profitable. We observe that break‐even points play an important role in the decision of nonpathological risk takers to stop RAs. It is possible, therefore, that these nonpathological cognitive processes, when occurring in extrema, may result in pathological gambling behavior such as “chasing.” Our data set focuses on RAs in financial markets and, consequently, we discuss the implications for institutions and regulators in the effective management of risk taking in markets. We also suggest that there may be a need to consider carefully the nature and role of “break‐even points” associated with a broader range of nonfinancially‐focused risk‐taking activities, such as smoking and substance abuse.
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BANERJEE, Nilosmita., CHEN, Zhang., CLARK Luke., NOËL Xavier. Behavioural expressions of loss-chasing in gambling: A systematic scoping review NEUROSCI BIOBEHAV REV 152(1) XXX-XXX, 2023. - Loss-chasing, the tendency to continue and/or intensify gambling following losses, is a key clinical symptom in gambling disorder and a central feature endorsed by at-risk problem gamblers. Despite its centrality, loss-chasing has been often operationalised across distinct behavioural expressions. The current systematic scoping review aimed to map the heterogeneous operationalisations of loss-chasing in the literature. The reviewed studies defined loss-chasing either between-sessions (n=39) or within-sessions (n=38), as a long-recognised distinction. For both categories, further behavioural expressions could be distinguished. Between-session loss-chasing was captured by endorsing an item 'returning another day/time to recoup losses', or behaviourally as the interval between successive sessions, or as increasing stakes in the next session. Within-session loss-chasing was defined as continuing and/or intensifying gambling either by increased risk-taking, stake size, or speed of play. Additionally, much heterogeneity was observed in gambling contexts examined, the exact definition of loss, and the potential delineation of win-chasing. Open questions and future directions are discussed. Overall, this paper severs as a first step towards more conceptual clarity of loss-chasing.
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Loss-chasing, the tendency to continue and/or intensify gambling following losses, is a key clinical symptom in gambling disorder and a central feature in problem gambling, endorsed by at-risk problem gamblers. Despite its centrality, the extant literature has often operationalised loss-chasing across distinct behavioural expressions. The current systematic scoping review aimed to map the heterogeneous operationalisations of loss-chasing in the literature. The reviewed studies defined loss-chasing either between-sessions (n=39) or within-sessions (n=38), as a long-recognised distinction. For both categories, further behavioural expressions could be distinguished. Between-session loss-chasing was captured by endorsing an item ‘returning another day/time to recoup losses’, or behaviourally as the interval between successive sessions, or as increasing stakes on the next visit. Within-session loss-chasing was defined as continuing to gamble, and/or intensifying betting either by increased risk-taking, stake size, or speed of play. Additionally, much heterogeneity was observed in gambling contexts examined, the exact definition of loss, and the potential delineation of win-chasing. Open questions and future directions are discussed. Overall, this paper severs as a first step towards more conceptual clarity of loss-chasing.
Chapter
In recent years, strategy researchers have sought to combine behavioural theories with traditional economic views of the firm. As the behavioural trend continues, insights from behavioural neuroscience will play an increasing role in strategic management. Powell (2011) coined the term ‘neurostrategy’ to describe research at the intersection of strategic management and behavioural neuroscience. He argued that properly designed research projects in neurostrategy can help researchers to validate strategy constructs, measure variables, test theories and generate new research ideas. He also noted that neurostrategy brings new challenges – for example, interdisciplinary collaborations can be time-consuming and costly, and brain processes are not always the appropriate unit of analysis in strategic management. On balance, neurostrategy can contribute to strategic management if strategy researchers work closely with neuroscientists on targeted research problems for which brain imaging, neuropharmacology and other neuroscientific methods can provide behavioural insights.
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To obtain more of a particular uncertain reward, animals must learn to actively overcome the lack of reward and adjust behaviour to obtain it again. The neural mechanisms underlying such coping with reward omission remain unclear. Here we developed a task in rats to monitor active behavioural switch toward the next reward after no-reward. We discovered that some dopamine neurons in the ventral tegmental area exhibited increased responses to unexpected reward omission and decreased responses to unexpected reward, following the opposite responses of the well-known dopamine neurons that signal reward prediction error (RPE). The dopamine increase reflected in the nucleus accumbens correlated with behavioural adjustment to actively overcome unexpected no-reward. We propose that these responses signal error to actively cope with lack of expected reward. The dopamine error signal thus cooperates with the RPE signal, enabling adaptive and robust pursuit of uncertain reward to ultimately obtain more reward.
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Decision-making under risk is crucial for everyday life. Nevertheless, despite a large effort to identify the nature of decision-making under risk, the neural mechanisms underlying the selection of safe or risky choices remain unclear. To address this issue, the author conducted activation likelihood estimation meta-analyses of 59 functional magnetic resonance imaging studies (1,916 participants; age range, 11.2-70 years; 791 activation foci; 106 experimental contrasts). Results showed that common brain regions, including the lateral prefrontal cortex (LPFC), insula, and middle portion of dorsal anterior cingulate cortex (mid-dACC), subserved both safe and risky choices. While safe choices engaged the left mid-dACC more, risky choices engaged the left insula more along with the additional recruitment of the dorsal striatum (putamen, pallidum, caudate), representing distinctions between safe and risky choices. For age effects, adolescents compared with adults were associated more with the right LPFC when selecting safe choices and associated more with the left insula and bilateral dorsal striatum (putamen, pallidum, caudate) when selecting risky choices. Adults compared with adolescents were associated more with the right mid-dACC when selecting risky choices. These findings can be interpreted by drawing on the major developmental theories of decision-making under risk, such as dual-systems model (cognitive control and emotional arousal) and a different theory emphasizing changes in cognitive strategies with development. Although brain activations across tasks in decision processes were identified, along with developmental differences, future ALE analyses should distinguish task factors more cleanly to make firmer conclusions, including distinguishing gain versus loss and risk versus reward.
Thesis
This study consists of two separate studies. In the first study, the Turkish adaptation of the Beliefs About Emotions Questionnaire (BAEQ; Manser et al., 2012) was carried out. A total of 436 Turkish university students between the ages of 18-29 (M = 23.5, SD = 3.19) participated in the study. The findings showed that the data set confirmed the factor structure suggested for BAEQ with some modifications, and that the 37-item scale is a valid and reliable measurement tool that can be used by emotion regulation researchers and mental health professionals in Turkey. In the second study, a structural equation model was tested in order to better understand the relationships between trait/dispositional mindfulness, beliefs about emotions, adaptive and maladaptive emotion regulation strategies, and negative and positive mental health. A total of 608 Turkish university students between the ages of 18-29 (M = 23.14, SD = 2.89) participated in the study. The findings revealed that the indirect effect of trait/dispositional mindfulness on adaptive and maladaptive emotion regulation strategies as well as on positive and negative mental health through beliefs about emotions and the indirect effect of beliefs about emotions on negative and positive mental health through maladaptive and adaptive emotion regulation strategies were statistically significant. The present findings are discussed in accordance with the relevant literature.
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Gambling disorder and problem gambling are characterized by persistent and repetitive problematic gambling behavior. Attentional bias toward gambling-related stimuli such as casino chips, dice, roulette, etc. have been observed in problem gamblers (PGs), but it remains unclear whether stimuli in gambling tasks elicit greater attention and pupillary responses in PGs. To address this issue, we administrated PGs and non-problem gamblers (NPGs) a gambling task accompanied by eye-tracking measurements, in which the participants were required to choose one of the paired pictures to receive monetary rewards and avoid punishments. Concerning attentional allocation, PG showed a greater attentional preference for the right-hand pictures in the decision and feedback phases, and compared to NPGs, PGs’ attention was narrower and more focused on the left-hand pictures in the decision phase. Concerning pupillary dynamics indicative of noradrenergic locus coeruleus activity, pupillary dilation in response to rewards and punishments was observed only in PGs. Studies of unilateral spatial neglect have proposed that asymmetric attention is induced by hemispheric imbalance. Accordingly, asymmetrical allocation of attention by PGs may reflect hemispheric imbalance, and pupillary dynamics may reflect sensitivity to wins and losses.
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This chapter first reviews cognitive decision making in adolescents and adults with and without autism spectrum disorders (ASD) with a focus on executive function in scenarios such as gambling tasks. A second focus is on emotional decision making in adolescents and adults with and without ASD. Alexithymia and interoception have been found to have an important impact on emotional decision making. The third focus is on moral decision making and individual differences in adolescents with ASD and adolescents with alexithymia and psychopathy. Finally, a support program for enhancement of decision making in adolescents and adults with ASD is proposed.
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Many individuals with intellectual and developmental disabilities (IDD) or a diagnosis on the autism spectrum will experience anxiety. Research examining anxiety in these populations has provided understanding of how it presents and how it can be measured more accurately in these individuals. Less is known, however, about the impact that anxiety can have on cognitive tasks or issues. Within neurotypical individuals, anxiety has been shown to impact decision making, both by increasing the likelihood of a “jump-to-conclusion” style of reasoning and also by influencing perceptions of relative risk. The impact of anxiety on the decision making of individuals with IDD or those on the autism spectrum is less well understood. In this chapter we describe the limited research in this area. We then use this to hypothesise about the potential impact it may have across the decision-making process. Given the high prevalence of anxiety (and other mental health challenges) in those with IDD and/or autism, there is a clear need for more work in this area. With this additional knowledge we will be better placed to understand whether anxiety has a positive, negative or neutral effect on decision making in these populations. This knowledge can then be used to support decision making and also reduce any possible negative effects of anxiety on this process.
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Chasing, or continuing to gamble to recoup previous losses, is a behavioral marker and a diagnostic criterion for gambling disorder. Even though chasing has been recognized to play a central role in gambling disorder, research on chasing is still relatively scarce. This study first empirically investigated the interplay between cognitive distortions related to gambling, temporal perspective, and chasing behavior in a sample of habitual gamblers. Two hundred and fifty-five adults took part in the study. Participants completed the South Oaks Gambling Screen (SOGS), the Gambling Related Cognitions Scale (GRCS), the 14-item Consideration of Future Consequences scale (CFC-14), and performed a computerized task assessing chasing behavior. Participants were randomly assigned to three experimental conditions (Control, Loss, and Win). Hierarchical logistic regression analysis showed that the decision to chase depended on scores on the CFC-14 Immediate scale and the GRCS dimensions Gambling Expectancies and Interpretative Bias. Hierarchical linear regression analysis indicated that, chasing frequency was affected by Loss condition, distortions related to gambling expectancies and predictive control, as well as by myopia for the future. Interestingly, the results of path analysis clearly indicated that some cognitions related to gambling predict chasing frequency not only directly, but also indirectly via shortened time horizon. Notably, gambling severity did not predict either the decision to chase, or the chasing persistence. These findings provide further evidence that nonchasers and chasers seem to belong to two quite distinct subtypes of gamblers. Such a difference could be useful for targeting more effective intervention strategies in gambling disorder treatment.
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Obiettivo del presente lavoro è fornire un’analisi della letteratura circa la multifattorialità eziologica, la complessità fenomenologica, comportamentale e di comorbilità del disturbo da gioco d’azzardo. Come verrà evidenziato, questo disturbo è la risultante dell’intreccio di più variabili: genetiche, bio-temperamentali, psicologico-cognitive, socio-ambientali; e come tale osservato da molteplici prospettive, qui di seguito analizzate, con una attenzione particolare verso l’indagine neurobiologica. Tale prospettiva, come vedremo, osserva e analizza le mutazioni a livello neurotrasmettitoriale che si verificano per mezzo della plasticità neuronale e a livello epigenetico, a causa del comporta-mento di gioco reiterato nel tempo.
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Human decisions are susceptible to biases, but establishing causal roles of brain areas has proved to be difficult. Here we studied decision biases in 17 people with unilateral medial prefrontal cortex damage and a rare patient with bilateral ventromedial prefrontal cortex (vmPFC) lesions. Participants learned to choose which of two options was most likely to win, and then bet money on the outcome. Thus, good performance required not only selecting the best option, but also the amount to bet. Healthy people were biased by their previous bet, as well as by the unchosen option’s value. Unilateral medial prefrontal lesions reduced these biases, leading to more rational decisions. Bilateral vmPFC lesions resulted in more strategic betting, again with less bias from the previous trial, paradoxically improving performance overall. Together, the results suggest that vmPFC normally imposes contextual biases, which in healthy people may actually be suboptimal in some situations.
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Chasing is a central feature of gambling disorder and refers to the attempt by individuals to recover financial losses by continuing to gamble. Although several efforts have been made to individuate the factors involved in the complex phenomenon of chasing, little is known regarding its association with delay discounting and craving, both considered important in the development and maintenance of gambling disorder. In the present study, the interplay between chasing, delay discounting, and craving (while controlling for gambling severity) was investigated. The sample comprised 128 adult gamblers aged between 18 and 67 years and consisted of non-problem gamblers (n = 58), problem gamblers (n = 18), and pathological gamblers (n = 52) based on the South Oaks Gambling Screen (SOGS) scores. Participants were administered the Monetary Choice Questionnaire (MCQ) and the Gambling Craving Scale (GACS), as well as completing the ChasIT, a computerized task assessing chasing behavior. Participants were randomly assigned to the control and the loss condition of the ChasIT. Results showed that pathological gamblers were more likely to chase and reported more severe chasing persistence. Regression analyses indicated that heightened levels of craving and the inability to tolerate delay in gratification, along with gambling severity, predicted both the decision to chase and chasing persistence. The present study contributes important findings to the gambling literature, highlighting the role of craving and delay discounting in facilitating the inability to stop within-sessions gambling. These findings may provide evidence that chasers and non-chasers represent two different types of gamblers, and that the difference may be useful for targeting more effective therapies.
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