Sleep deprivation attenuates neural responses to outcomes from risky decision-making.

Sleep loss impacts a broad range of brain and cognitive functions. However, how sleep deprivation affects risky decision-making remains inconclusive. This study used functional MRI to examine the impact of one night of total sleep deprivation (TSD) on risky decision-making behavior and the underlying brain responses in healthy adults. In this study, we analyzed data from N = 56 participants in a strictly controlled 5-day and 4-night in-laboratory study using a modified Balloon Analogue Risk Task. Participants completed two scan sessions in counter-balanced order, including one scan during rested wakefulness (RW) and another scan after one night of TSD. Results showed no differences in participants' risk-taking propensity and risk-induced activation between RW and TSD. However, participants showed significantly reduced neural activity in the anterior cingulate cortex and bilateral insula for loss outcomes, and in bilateral putamen for win outcomes during TSD compared with RW. Moreover, risk-induced activation in the insula negatively correlated with participants' risk-taking propensity during RW, while no such correlations were observed after TSD. These findings suggest that sleep loss may impact risky decision-making by attenuating neural responses to decision outcomes and impairing brain-behavior associations.

Sex differences in physiological correlates of affectively driven decision-making behavior in adult ADHD.

BACKGROUND: Sex differences in the symptomatology of adults with attention-deficit/hyperactivity disorder (ADHD) have often been overlooked when studying behavioral abnormalities. However, it is known that women exhibit considerably more stronger symptoms related to emotional competence than men. Since affective functions significantly influence the processing of risky decision-making and risk-engagement, we assume that risky behavior in ADHD is affected by sex differences. Therefore, we specifically investigated sex-specific effects on the interaction between emotionally induced changes in physiology and behavioral performance on a decision-making task. METHODS: Skin conductance responses of twenty-nine adults with ADHD (n = 16 male; n = 13 female) and thirty-three adults in the control group (n = 14 male; n = 19 female) were recorded during the performance in a modified version of the Balloon Analogue Risk Task (BART). Additional questionnaires were used to reveal insights in the self-assessment of emotional competence, risk perception, and feedback sensitivity. Emotional arousal and decision-making behavior were analyzed using linear mixed-effects models. RESULTS: Results showed different effects of sex on risk behaviors in controls and ADHD. In contrast to healthy controls, female adults with ADHD showed a significantly greater risk engagement in the BART compared to males with ADHD. This contrary sex relation was not observed in skin conductance responses and revealed a significantly different sex-dependent correlation of body response and behavioral task performance in ADHD. Comparisons with results from self-assessments furthermore indicate a reduced behavioral self-perception in women with ADHD, but not in men. CONCLUSION: In summary, we found an altered interaction between physiological activity and risky behavior in women with ADHD. Thus, the present study indicates a reduced sensitivity towards the own bodily responses in women with ADHD, which could consequently cause increased risky DM behavior in daily life. The current results suggest that more consideration needs to be given to sex-specific effects on physiological processes and behavior in adults with ADHD.

Performance on the balloon analogue risk task and anticipatory response inhibition task is associated with severity of impulse control behaviours in people with Parkinson's disease.

Dopamine agonist medication is one of the largest risk factors for development of problematic impulse control behaviours (ICBs) in people with Parkinson's disease. The present study investigated the potential of dopamine gene profiling and individual performance on impulse control tasks to explain ICB severity. Clinical, genetic and task performance data were entered into a mixed-effects linear regression model for people with Parkinson's disease taking (n = 50) or not taking (n = 25) dopamine agonist medication. Severity of ICBs was captured via the Questionnaire for Impulsive-compulsive disorders in Parkinson's disease Rating Scale. A cumulative dopamine genetic risk score (DGRS) was calculated for each participant from variance in five dopamine-regulating genes. Objective measures of impulsive action and impulsive choice were measured on the Anticipatory Response Inhibition Task and Balloon Analogue Risk Task, respectively. For participants on dopamine agonist medication, task performance reflecting greater impulsive choice (p = 0.014), and to a trend level greater impulsive action (p = 0.056), as well as a longer history of DA medication (p < 0.001) all predicted increased ICB severity. DGRS however, did not predict ICB severity (p = 0.708). No variables could explain ICB severity in the non-agonist group. Our task-derived measures of impulse control have the potential to predict ICB severity in people with Parkinson's and warrant further investigation to determine whether they can be used to monitor ICB changes over time. The DGRS appears better suited to predicting the incidence, rather than severity, of ICBs on agonist medication.

The effects of sound in the Balloon Analogue Risk Task.

In this study, we examined the effects of pairing sounds with positive and negative outcomes in the Balloon Analogue Risk Task (BART). A number of published studies using the BART incorporate sounds into the task, where a slot machine or cash register sound is produced when rewards are collected and a popping sound is produced when balloons pop. However, some studies do not use sound, and other studies do not specify whether sound was used. Given that sensory information contributes to the intensity of experiences, it is possible that outcome-related sounds in the BART influence risk-taking behaviors, and inconsistent use of sounds across the many BART variations may affect how results are interpreted. Therefore, the purpose of this study was to investigate the effects of sounds paired with outcomes in the BART, and whether the presence or valence of a sound would systematically alter participants' risk-taking. Across two experiments using Bayesian censored regressions, we show that sounds, regardless of the outcomes they were paired with or their valence, did not affect risk-taking in an adult, non-clinical sample. We consider the implications of these results within methodological and theoretical contexts and encourage researchers to continue dissociating the role of auditory stimuli in feedback processing and subsequent responding.

Cerebellum anatomy predicts individual risk-taking behavior and risk tolerance.

Human risk tolerance is highly idiosyncratic and individuals often show distinctive preferences when faced with similar risky situations. However, the neural underpinnings of individual differences in risk-taking remain unclear. Here we combined structural and perfusion MRI and examined the associations between brain anatomy and individual risk-taking behavior/risk tolerance in a sample of 115 healthy participants during the Balloon Analogue Risk Task, a well-established sequential risky decision paradigm. Both whole brain and region-of-interest analyses showed that the left cerebellum gray matter volume (GMV) has a strong association with individual risk-taking behavior and risk tolerance, outperforming the previously reported associations with the amygdala and right posterior parietal cortex (PPC) GMV. Left cerebellum GMV also accounted for risk tolerance and risk-taking behavior changes with aging. However, regional cerebral blood flow (CBF) provided no additional predictive power. These findings suggest a novel cerebellar anatomical contribution to individual differences in risk tolerance. Further studies are necessary to elucidate the underestimated important role of cerebellum in risk-taking.

The Implicit Sexual Risk Assessment: A Pilot Study of a Novel Behavioral Task.

Risky sexual behaviors are a significant public health concern. Laboratory experiments are necessary to identify causal determinants of risky sexual behavior. However, experiments often rely on analogue sexual risk behavior, assessed by self-reported intentions in response to a sexual scenario. Using behavioral tasks to assess risk taking may be a valuable addition to self-reported intention outcome measures. The Balloon Analogue Risk Task (BART) is a commonly used measure of general risk-taking. However, BART's associations with sexual risk-taking have been mixed. In this pilot study, we developed a task akin to the BART, the Implicit Sexual Risk Assessment (ISRA), which incorporates sexual stimuli. We hypothesized sexual arousal would increase risk taking on ISRA relative to BART. Using a within-persons experimental design, 79 participants (52% women, mean age = 19.5 (SD = 1.42)) were randomized to condition (i.e., arousal versus neutral) and completed the BART and ISRA tasks. As expected, sexual arousal was associated with increased risk-taking (i.e., adjusted pumps) on ISRA relative to BART. However, this was unexpectedly the result of decreased pumps on BART instead of increased pumps on ISRA. Neither BART nor ISRA were significantly associated with sexual risk behavior or intentions. Null findings are qualified by the fact that sexual arousal was not significantly associated with sexual risk intentions.

The influence of 'deliberate' implementation intention on medical students' risk decision task outcomes.

Implementation intention is a kind of behaviour choice strategy in which individuals adopt specific and definite behaviour patterns to achieve behavioural goals. The standard form is 'if something happens, then I will do something'. Previous studies have shown that implementation intention strategy is a fast and effective mental skill with notable advantages. However, adding the requirement of 'deliberate' to the implementation plan will increase the probability of decision adjustment to a certain extent. In this study, the classic Balloon Analogue Risk Task (BART) was selected as the evaluation index of risk decision-making, and the 'deliberate' implementation intention was adopted to explore the impact of this behavioural strategy on risk selection. The recruited medical students were divided into two groups: the implementation intention group (n = 37) and the control group (n = 34). The baseline assessment for the BART was performed by all participants, and the intensive training of 'deliberate' implementation intention to 'make as much money as possible' was conducted before the post-test decision-making after one week. The adjusted BART (adj BART) value and AvgIncome were significantly higher than those at baseline in the implementation intention group(adj BART value: baseline 12.63 ± 2.90, post-test: 14.78 ± 2.66, F = 15.978, p < 0.001, η 2 = 0.307; AvgIncome: baseline 12.43 ± 2.56, post-test 15.00 ± 2.57, F = 20.953, p < 0.001, η 2 = 0.368). The mixed-model ANOVAs showed that there was a significant interaction between test time and group (adj BART value: F = 4.859, p = 0.031, η 2 = 0.066; AvgIncome: F = 4.261, p = 0.043, η 2 = 0.058). Conclusion: The implementation of 'deliberate' intention can help medical students make more rational judgements in risk decision-making tasks, avoid over conservative behaviour and obtain more benefits.

A Bayesian method for measuring risk propensity in the Balloon Analogue Risk Task.

The Balloon Analogue Risk Task (BART) is widely-used to measure risk propensity in theoretical, clinical, and applied research. In the task, people choose either to pump a balloon to increase its value at the risk of the balloon bursting and losing all value, or to bank the current value of the balloon. Risk propensity is most commonly measured as the average number of pumps on trials for which the balloon does not burst. Burst trials are excluded because they necessarily underestimate the number of pumps people intended to make. However, their exclusion discards relevant information about people's risk propensity. A better measure of risk propensity uses the statistical method of censoring to incorporate all of the trials. We develop a new Bayesian method, based on censoring, for measuring both risk propensity and behavioral consistency in the BART. Through applications to previous data we demonstrate how the method can be extended to consider the correlation of risk propensity with external measures, and to compare differences in risk propensity between groups. We provide implementations of all of these methods in R, MATLAB, and the GUI-based statistical software JASP.

Never mind losing the pound still got the penny! The influence of trait greed on risky decision behavior in a mixed and gain only BART.

Risk proneness and the lack of loss aversion are two different reasons to show varying degrees of risk-taking in decision situations. So far, little is known about the extent to which these two processes underly the influence of trait greed, trait anxiety, and age. The present study investigated risk- taking in decision making in these trait contexts using two variants of the Balloon Analogue Risk Task (BART) in an online study: A gain only and a mixed gambling BART. This was done to separate risk proneness from loss aversion. Individuals with high trait greed showed an increased risk decision-making behavior due to an increased risk proneness and not due to a reduced loss aversion. This is partly in contrast with previous findings in other tasks assessing risk proneness and loss aversion. These differences may be caused by the changes of perception during the gain only task. No significant effects were found for trait anxiety or age concerning risk-taking in decision-making behavior. Possible explanations for the lack of influence of these constructs are skewed distributions, omitting pathologically anxious subjects in anxiety and a restricted age range. The findings suggest that a lack of loss aversion is not a driving factor to explain elevated risk-taking in decision-making behavior in persons with high trait greed, but a higher reaction to reward in predominantly rewarding contexts. Supplementary Information: The online version contains supplementary material available at 10.1007/s12144-022-03553-6.

Males with low risk-taking propensity overestimate risk under acute psychological stress.

Arousing research has investigated stressed individuals' decision biases, but whether and how stress and individual traits interact to impact the underlying decision-making process is unknown. Here, we aim to explore the effect of acute stress on the interaction between the objective level of risk and subjective risk preference (i.e. risk-taking propensity). Eighty-three healthy males participated in the study. We adopted the Trier Social Stress Test (TSST) to induce acute psychological stress and categorized participants into the high or low risk-taking propensity (HRP/LRP) group according to their traits in daily life. The Balloon Analogue Risk Task (BART) was applied to measure their feedback processing in a risky decision task, while behavioral indexes and EEG signals were recorded. The results showed that stressful participants pumped fewer times than the controls, especially for the LRP under stress, indicating that they were more willing to avoid taking risks. Compared with the stressed HRP group, the stressed LRP showed higher salivary cortisol responses and a more positive FRN following positive feedback in higher risk levels. It implies that acute psychological stress leads the LRP to overestimate the risk probability and become more cautious in the sequential processing of risk. These findings highlight the role of the feedback process and individual traits in risky decision-making under stress.

The scaled target learning model: Revisiting learning in the balloon analogue risk task.

The Balloon Analogue Risk Task (BART) is a sequential decision making paradigm that assesses risk-taking behavior. Several computational models have been proposed for the BART that characterize risk-taking propensity. An aspect of task performance that has proven challenging to model is the learning that develops from experiencing wins and losses across trials, which has the potential to provide further insight into risky decision making. We developed the Scaled Target Learning (STL) model for this purpose. STL describes learning as adjustments to an individual's strategy in reaction to outcomes in the task, with the size of adjustments reflecting an individual's sensitivity to wins and losses. STL is shown to be sensitive to the learning elicited by experimental manipulations. In addition, the model matches or bests the performance of three competing models in traditional model comparison tests (e.g., parameter recovery performance, predictive accuracy, sensitivity to risk-taking propensity). Findings are discussed in the context of the learning process involved in the task. By characterizing the extent to which people are willing to adapt their strategies based on past experience, STL is a step toward a complete depiction of the psychological processes underlying sequential risk-taking behavior.

Altered risky decision making in patients with early non-affective psychosis.

Abnormal risky decision making may represent an important factor contributing to functional impairment in psychotic disorders. Previous research revealed impaired decision making under risk in patients with chronic schizophrenia. However, risky decision making is under-studied in the early course of illness. We examined risky decision making in 33 patients with early non-affective psychosis and 32 demographically matched controls, using two well-validated experimental paradigms, balloon analogue risk task (BART) and Risky-Gains task (RGT), which modeled and assessed actual risk-taking behaviors in deliberative and time-pressured decision-making situations, respectively. Our results showed that patients exhibited suboptimal decision making on the BART and were more risk averse than controls by having fewer average balloon pumps in non-burst trials, lower explosion rate and lower total points gained. On the RGT, patients also behaved more conservatively than controls, with lower overall rate in choosing the risky option. Intriguingly, patients performed comparably to controls in adjusting risk-taking pattern following punished trials, suggesting relatively preserved sensitivity to punishment in early psychosis. Risk-taking measures showed no significant correlations with any symptom dimensions, impulsivity traits, cognitive functions or antipsychotic treatment after correcting for multiple comparisons. This study is the first to investigate risk-taking propensity in early psychosis based on BART/RGT performance, and consistently indicate that patients with early psychosis displayed altered risky decision making with increased risk aversion relative to healthy participants. Further investigation is warranted to clarify the longitudinal course of aberrant risky decision making and its relationship with functional outcome in early psychosis.

Test-retest reliability of brain responses to risk-taking during the balloon analogue risk task.

The Balloon Analogue Risk Task (BART) provides a reliable and ecologically valid model for the assessment of individual risk-taking propensity and is frequently used in neuroimaging and developmental research. Although the test-retest reliability of risk-taking behavior during the BART is well established, the reliability of brain activation patterns in response to risk-taking during the BART remains elusive. In this study, we used functional magnetic resonance imaging (fMRI) and evaluated the test-retest reliability of brain responses in 34 healthy adults during a modified BART by calculating the intraclass correlation coefficients (ICC) and Dice's similarity coefficients (DSC). Analyses revealed that risk-induced brain activation patterns showed good test-retest reliability (median ICC â€‹= â€‹0.62) and moderate to high spatial consistency, while brain activation patterns associated with win or loss outcomes only had poor to fair reliability (median ICC â€‹= â€‹0.33 for win and 0.42 for loss). These findings have important implications for future utility of the BART in fMRI to examine brain responses to risk-taking and decision-making.

High sensation seeking is associated with behavioral and neural insensitivity to increased negative outcomes during decision-making under uncertainty.

High-level sensation seeking (HSS) has been linked to a range of risky and unhealthy behavior; however, the neural mechanisms underlying such linkage remain unclear. In the present study, we used event-related potential (ERP) with a Balloon Analogue Risk Task (BART) to investigate how sensation seeking modulates brain responses to sequential decision-making with variable reward/loss outcome magnitudes. Behavior data showed that decision-making behavior was significantly affected by the large compared with the small magnitude of monetary outcome in the BART for individuals with low-level sensation seeking (LSS), but not for individuals with HSS. Similarly, HSS individuals displayed no changes in feedback-related negativity (FRN) in response to negative outcomes from decision-making with large or small reward/loss magnitudes, whereas LSS individuals showed greater FRN in response to decision-making with large loss magnitude than those with small loss magnitude. In addition, FRN amplitude differences correlated with decision-making behavior changes from small to large outcome magnitude for LSS, while such correlation was not observed for HSS. These findings suggest that a high-level of sensation seeking is associated with behavioral and neural insensitivity to increased negative outcome during decision-making under uncertainty, which may lead to greater risky behavior in these individuals when facing potential loss.

Variations on the balloon analogue risk task: A censored regression analysis.

In the present project, we reexamined the balloon analogue risk task (BART) by evaluating three variations on the task: one that does not require pumping, one that controls for trial duration, and another that withholds feedback on popping until the end of each trial. To accurately assess the censored data produced by the BART, performance was compared across these variations using Bayesian analysis with censored regression. The first experiment compared a task that required pumping to one that did not, and revealed that the tendency to respond earlier than is optimal does not reflect an avoidance of effort. The second experiment included a condition in which the duration of each trial was held constant by continuing to automatically inflate a balloon to its maximum size after a cash-in response; feedback on the pop time was withheld until the end of each trial. This condition revealed that the tendency to respond earlier is not driven by a desire to finish the task quickly by cashing in early, but the results also strongly suggested that the immediate experience of popping created a greater aversion to risk (although this condition difference was inconsequential by the end of the experiment). The article concludes by considering the implications of these results for cognitive neuroscience approaches to understanding performance on the BART.

Predicting risk decisions in a modified Balloon Analogue Risk Task: Conventional and single-trial ERP analyses.

Event-related potential (ERP) has the potential to reveal the temporal neurophysiological dynamics of risk decision-making, but this potential has not been fully explored in previous studies. When predicting risk decision with ERPs, most studies focus on between-trial analysis that reflects feedback learning, while within-trial analysis that could directly link option assessment with behavioral output has been largely ignored. Suitable task design is crucial for applying within-trial prediction. In this study, we used a modified version of the classic Balloon Analogue Risk Task (BART). In each trial of the task, participants made multiple rounds of decisions between a risky option (pump up the balloon) and a safe option (cash out). Behavioral results show that as the level of economic risk increased, participants were less willing to make a risky decision and also needed a longer response time to do so. In general, the ERP results showed distinct characteristics compared with previous findings based on between-trial prediction, particularly about the role of the P1 component. Specifically, both the P1 (amplitude and latency) and P3 (amplitude) components evoked by current outcomes predicted subsequent decisions. We suggest that these findings indicate the importance of selective attention (indexed by the P1) and motivational functions (indexed by the P3), which may help clarify the cognitive mechanism of risk decision-making. The theoretical significance of these findings is discussed.

Genetic Contribution to Variation in Risk Taking: A Functional MRI Twin Study of the Balloon Analogue Risk Task.

Excessive risk-taking behaviors have been implicated as a potential endophenotype for substance use disorders and psychopathological gambling. However, the genetic and environmental influences on risk taking and the risk-related brain activations remain unclear. This study investigated the heritability of risk taking and the genetic influence on individual variation in risk-related brain activation. The Balloon Analogue Risk Task was used to assess individuals' risk-taking behavior. In a sample of 244 pairs of young adult twins, we found that there was a moderate heritability (41%) of risk taking. Using voxel-level analysis, we found a moderate genetic influence on risk-related brain activation. We also found a moderate genetic correlation between risk-taking behavior and risk-related brain activation in the left insula, right striatum, and right superior parietal lobule in the active-choice condition. The present study provides important evidence for the genetic correlation between risk-taking behavior and risk-related brain activation.

Linking cognitive abilities with the propensity for risk-taking: the balloon analogue risk task.

There is great interest about the individual differences that influence the ability of dealing with risky decisions. In this light, an intriguing question is whether decision-making during risk is related to other cognitive abilities, especially executive functions. To investigate, in healthy subjects, the existence of a possible correlation between risk-taking and cognitive abilities, the balloon analogue risk task (BART) has been exploited to assess risk-taking propensity and the random number generation (RNG), to investigate cognitive functions. The risk-taking propensity is significantly correlated with the Cycling factor, a feature of RNG performance specifically related to the ability of updating and monitoring information. In particular, an excessive activity of monitoring (expressed by lower values of Cycling factor) is related to a more risk-averse behavior. An overlapping between the circuits involved in both RNG and BART, centered on the dorsolateral prefrontal cortex, could be the possible neurophysiological substrate for this correlation. This study suggests a relevant contribution of executive functions in risk-taking behavior. This could have relevant implications in neuroeconomics and neuropsychiatry of addiction and pathological gambling.

Self-regulation predicts risk-taking through people's time horizon.

In the context of decision-making research, people's regulatory orientation mode (i.e., assessment and locomotion modes) has been included among the most prominent individual difference variables, which may potentially account for choice behaviour. Thus, the main objective of our experiment was to investigate the relations between habitual use of regulatory mode and risk-taking through people's time horizon. Risk-taking was appraised using a behavioural measure (i.e., BART) 1 month following evaluation of habitual use of regulatory mode. The findings revealed a significant negative association between the assessment mode and risk-taking through individual differences in time horizon.

Computational Modeling Interpretation Underlying Elevated Risk-Taking Propensity in the Dynamic Risky Investment Process of Non-Labor Income.

Introduction: Money source influences risk-taking behaviors. Although studies consistently indicated that individuals demonstrate a higher propensity to make risky investments when utilizing non-labor income as opposed to labor income, explanations as to why non-labor income leads to continuously blowing money into risky investments are scarce. Methods: The current study leverages a computational modeling approach to compare the differences in the dynamic risk investment process among individuals endowed with income from different sources (ie, non-labor income vs labor income) to understand the shaping force of higher risk-taking propensity in individuals with non-labor income. A total of 103 participants were recruited and completed the Balloon Analogue Risk Task (BART) with an equal monetary endowment, either as a token for completion of survey questionnaires (representing labor income) or as a prize from a lucky draw game (representing non-labor income). Results: We found that individuals endowed with non-labor income made more risky investments in BART compared to those with labor income. With computational modeling, we further identified two key differences in the dynamic risk investment processes between individuals endowed with labor and those with non-labor income. Specifically, individuals endowed with non-labor income had a higher preset expectation for risk-taking and displayed desensitization towards losses during risk investments, in contrast to individuals with labor income. Discussion: This study contributed to a better understanding of the psychological mechanisms of why individuals make more risk-taking behaviors with non-labor income, namely higher preset expectations of risk-taking and desensitization towards losses. Future research could validate these findings across diverse samples with varying backgrounds and adopt different manipulations of labor and non-labor income to enhance the external validity of our study.