The Role of Executive Function in Adolescent Adaptive Risk-Taking on the Balloon Analogue Risk Task

A scoping review on self-regulation and reward processing measured with gambling tasks: Evidence from the general youth population

Aberrant reward processing and poor self-regulation have a crucial role in the development of several adverse outcomes in youth, including mental health disorders and risky behaviours. This scoping review aims to map and summarise the evidence for links between aspects and measures of reward processing and self-regulation among children and adolescents in the general population. Specifically, it examined the direct associations between self-regulation (emotional or cognitive regulation) and reward processing. Studies were included if participants were <18 years and representative of the general population. Quantitative measures were used for self-regulation, and gambling tasks were used for reward processing. Of the eighteen studies included only two were longitudinal. Overall, the direction of the significant relationships identified depended on the gambling task used and the self-regulation aspect explored. Emotional regulation was measured with self-report questionnaires only, and was the aspect with the most significant associations. Conversely, cognitive regulation was mainly assessed with cognitive assessments, and most associations with reward processing were non-significant, particularly when the cognitive regulation aspects included planning and organisational skills. Nonetheless, there was some evidence of associations with attention, cognitive control, and overall executive functioning. More longitudinal research is needed to draw accurate conclusions on the direction of the association between self-regulation and reward processing.

The neural substrates of how model-based learning affects risk taking: Functional coupling between right cerebellum and left caudate

Higher executive control capacity allows people to appropriately evaluate risk and avoid both excessive risk aversion and excessive risk-taking. The neural mechanisms underlying this relationship between executive function and risk taking are still unknown. We used voxel-based morphometry (VBM) analysis combined with resting-state functional connectivity (rs-FC) to evaluate how one component of executive function, model-based learning, relates to risk taking. We measured individuals' use of the model-based learning system with the two-step task, and risk taking with the Balloon Analogue Risk Task. Behavioral results indicated that risk taking was positively correlated with the model-based weighting parameter ω. The VBM results showed a positive association between model-based learning and gray matter volume in the right cerebellum (RCere) and left inferior parietal lobule (LIPL). Functional connectivity results suggested that the coupling between RCere and the left caudate (LCAU) was correlated with both model-based learning and risk taking. Mediation analysis indicated that RCere-LCAU functional connectivity completely mediated the effect of model-based learning on risk taking. These results indicate that learners who favor model-based strategies also engage in more appropriate risky behaviors through interactions between reward-based learning, error-based learning and executive control subserved by a caudate, cerebellar and parietal network.

Tools for the Assessment of Risk-Taking Behavior in Older Adults with Mild Dementia: A Cross-Sectional Clinical Study

Diseases such as Alzheimer's cause an alteration of cognitive functions, which can lead to increased daily risk-taking in older adults living at home. The assessment of decision-making abilities is primarily based on clinicians' global analysis. Usual neuropsychological tests such as the MoCA (Montreal Cognitive Assessment) cover most of the cognitive domains and include mental flexibility tasks. Specific behavioral tasks for risk-taking, such as the Balloon Analogue Risk Task (BART) or the Iowa Gambling Task (IGT), have been developed to assess risk-taking behavior, particularly in the field of addictology. Our cross-sectional study aims to determine whether the MoCA global cognitive assessment could be used as a substitute for behavioral tasks in the assessment of risky behavior. In the current study, 24 patients (age: 82.1 ± 5.9) diagnosed with mild dementia completed the cognitive assessment (MoCA and executive function assessment) and two behavioral risk-taking tasks (BART, simplified version of the IGT). Results revealed no relationship between scores obtained in the MoCA and behavioral decision-making tasks. However, the two tasks assessing risk-taking behavior resulted in concordant risk profiles. In addition, patients with a high risk-taking behavior profile on the BART had better Trail Making Test (TMT) scores and thus retained mental flexibility. These findings suggest that MoCA scores are not representative of risk-taking behavioral inclinations. Thus, additional clinical tests should be used to assess risk-taking behavior in geriatric settings. Executive function measures, such as the TMT, and behavioral laboratory measures, such as the BART, are recommended for this purpose.

Cognitive mechanisms underlying decision making involving risk of explicit punishment in male and female rats

Individuals engage in the process of risk-based decision making on a daily basis to navigate various aspects of life. There are, however, individual differences in this form of decision making, with some individuals exhibiting preference for riskier choices (risk taking) and others exhibiting preference for safer choices (risk aversion). Recent work has shown that extremes in risk taking (e.g., excessive risk taking or risk aversion) are not only cognitive features of neuropsychiatric diseases, but may in fact predispose individuals to the development of such diseases. To better understand individual differences in risk taking, and thus the mechanisms by which they confer disease vulnerability, the current study investigated the cognitive contributions to risk taking in both males and females. Rats were first behaviorally characterized in a decision-making task involving risk of footshock punishment and then tested on a battery of cognitive behavioral assays. Individual variability in risk taking was compared with performance on these tasks. Consistent with prior work, females were more risk averse than males. With the exception of the Set-shifting Task, there were no sex differences in performance on other cognitive assays. There were, however, sex-dependent associations between risk taking and specific cognitive measures. Greater risk taking was associated with better cognitive flexibility in males whereas greater risk aversion was associated with better working memory in females. Collectively, these findings reveal that distinct cognitive mechanisms are associated with risk taking in males and females, which may account for sex differences in this form of decision making.

Reduced social risk-taking in depression

Evolutionary models of depression posit that depressed mood represents an adaptive response to unacceptably low social status, motivating the inhibition of social risk-taking in favor of submissive behaviors which reduce the likelihood of social exclusion. We tested the hypothesis of reduced social risk taking using a novel adaptation of the Balloon Analogue Risk Task (BART) in participants with major depressive disorder (MDD; n = 27) and never-depressed comparison participants (n = 35). The BART requires participants to pump up virtual balloons. The more the balloon is pumped up, the more money a participant gains on that trial. However, more pumps also increase the risk the balloon will burst such that all money is lost. Prior to performing the BART, participants took part in a team induction in small groups in order to prime social-group membership. Participants then completed two conditions of the BART: an Individual condition where they risked only their own money, and a Social condition, where they risked the money of their social group. The groups did not differ in their performance in the individual condition (Cohen's d = 0.07). However, the MDD group risked fewer pumps in the Social condition than the never-depressed group (d = 0.57). The study supports the notion of an aversion to social risk-taking in depression. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Risky decision-making strategies mediate the relationship between amygdala activity and real-world financial savings among individuals from lower income households: A pilot study

Lower financial savings among individuals experiencing adverse social determinants of health (SDoH) increases vulnerabilities during times of crisis. SDoH including low socioeconomic status (low-SES) influence cognitive abilities as well as health and life outcomes that may perpetuate poverty and disparities. Despite evidence suggesting a role for financial growth in minimizing SDoH-related disparities and vulnerabilities, neurobiological mechanisms linked with financial behavior remain to be elucidated. As such, we examined the relationships between brain activity during decision-making (DM), laboratory-based task performance, and money savings behavior. Participants (N = 24, 14 females) from low-SES households (income<$20,000/year) underwent fMRI scanning while performing the Balloon Analogue Risk Task (BART), a DM paradigm probing risky- and strategic-DM processes. Participants also completed self-report instruments characterizing relevant personality characteristics and then engaged in a community outreach financial program where amount of money saved was tracked over a 6-month period. Regarding BART-related brain activity, we observed expected activity in regions implicated in reward and emotional processing including the amygdala. Regarding brain-behavior relationships, we found that laboratory-based BART performance mediated the impact of amygdala activity on real-world behavior. That is, elevated amygdala activity was linked with BART strategic-DM which, in turn, was linked with more money saved after 6 months. In exploratory analyses, this mediation was moderated by emotion-related personality characteristics such that, only individuals reporting lower alexithymia demonstrated a relationship between amygdala activity and savings. These outcomes suggest that DM-related amygdala activity and/or emotion-related personality characteristics may provide utility as an endophenotypic marker of individual's financial savings behavior.

Neural signatures of heterogeneity in risk-taking and strategic consistency

People display a high degree of heterogeneity in risk-taking behaviour, but this heterogeneity remains poorly understood. Here, we use a neural trait approach to examine if task-independent, brain-based differences can help uncover the sources of heterogeneity in risky decision-making. We extend prior research in two key ways. First, we disentangled risk-taking and strategic consistency using novel measures afforded by the Balloon Analogue Risk Task. Second, we applied a personality neuroscience framework to explore why personality traits are typically only weakly related to risk-taking behaviour. We regressed participants' (N = 104) source localized resting-state electroencephalographic activity on risk-taking and strategic consistency. Results revealed that higher levels of resting-state delta-band current density (reflecting reduced cortical activation) in the left dorsal anterior cingulate cortex and the left dorsolateral prefrontal cortex were associated with increased risk-taking and decreased strategic consistency, respectively. These results suggest that heterogeneity in risk-taking behaviour is associated with neural dispositions related to sensitivity to the risk of loss, whereas heterogeneity in strategic consistency is associated with neural dispositions related to strategic decision-making. Finally, extraversion, neuroticism, openness, and self-control were broadly associated with both of the identified neural traits, which in turn mediated indirect associations between personality traits and behavioural measures. These results provide an explanation for the weak direct relationships between personality traits and risk-taking behaviour, supporting a personality neuroscience framework of traits and decision-making.

Is the impact of high reward sensitivity and poor cognitive control on adolescent risk-taking more visible in rewarding conditions?

Adolescents are expected to take more risks than adults. The presented study was designed to determine whether adolescent risk-taking results from high reward sensitivity and poor cognitive control. In particular, we aimed to examine whether the impact of these variables is more visible in rewarding than non-rewarding conditions. Ninety adolescents (aged 13–16) and 95 young adults (aged 20–28) took part in the study. We used a driving task in rewarded and non-rewarded conditions to measure risk-taking. We also used tasks measuring reward sensitivity, cognitive control and impulsivity. Additionally we used self-report measures of reward sensitivity, self-control and everyday risk-taking to see whether the effects observed for self-reports mimic the effects observed for behavioral tasks. We found that the higher the reward sensitivity, the more adolescents (but not adults) risk in the rewarded condition of a driving task. We found no impact of cognitive control or impulsivity on risk-taking, regardless of age and condition. At the self-report level, we found that the higher the reward sensitivity and the poorer the self-control, the more both adolescents and adults displayed everyday risk-taking behavior.

Predictors of Positive and Negative Risk-Taking in Adolescents and Young Adults: Similarities and Differences

Although the risk-taking can potentially result in positive and negative outcomes, most of the researchers focused on its negative, not positive manifestations. Recently, Duell and Steinberg proposed a framework that clarifies the features of positive risk-taking. Research comparing positive and negative risk-taking increased and new measures have been developed. The presented study was designed to examine how the construct of positive risk-taking differs or overlaps with its opposite, negative risk-taking, and whether both are predicted by the same or different factors. Two hundred fifty eight (258) adolescents and young adults (aged 16-29) participated in the study. We tested self-reported sensitivity to reward and punishment, self-control, tolerance to ambiguity, trait anxiety, and gender as possible predictors of positive and negative risk-taking. We also referred both types of risk-taking to domain-specific risk-taking. We found that positive risk-taking is driven by sensitivity to reward and tolerance to ambiguity, and occurs especially in the social domain. Negative risk-taking is driven by gender, sensitivity to reward and (low) sensitivity to punishment, and occurs in all domains except social. Results indicate that positive risk-taking is chosen for exploration and personal growth by people who look for rewards in the social world and is done in a socially accepted way. Negative risk-taking is chosen by people who are not discouraged by severe negative effects and look for rewards outside existing norms.

Why Do We Take Risks? Perception of the Situation and Risk Proneness Predict Domain-Specific Risk Taking

Risk taking (RT) is a component of the decision-making process in situations that involve uncertainty and in which the probability of each outcome - rewards and/or negative consequences - is already known. The influence of cognitive and emotional processes in decision making may affect how risky situations are addressed. First, inaccurate assessments of situations may constitute a perceptual bias in decision making, which might influence RT. Second, there seems to be consensus that a proneness bias exists, known as risk proneness, which can be defined as the propensity to be attracted to potentially risky activities. In the present study, we take the approach that risk perception and risk proneness affect RT behaviours. The study hypothesises that locus of control, emotion regulation, and executive control act as perceptual biases in RT, and that personality, sensation seeking, and impulsivity traits act as proneness biases in RT. The results suggest that locus of control, emotion regulation and executive control influence certain domains of RT, while personality influences in all domains except the recreational, and sensation seeking and impulsivity are involved in all domains of RT. The results of the study constitute a foundation upon which to build in this research area and can contribute to the increased understanding of human behaviour in risky situations.

Neural processes in antecedent anxiety modulate risk-taking behavior

Though real-world decisions are often made in the shadow of economic uncertainties, work problems, relationship troubles, existential angst, etc., the neural processes involved in this common experience remain poorly understood. Here, we randomly assigned participants (N = 97) to either a poignant experience of forecasted economic anxiety or a no-anxiety control condition. Using electroencephalography (EEG), we then examined how source-localized, anxiety-specific neural activation modulated risky decision making and strategic behavior in the Balloon Analogue Risk Task (BART). Previous research demonstrates opposing effects of anxiety on risk-taking, leading to contrasting predictions. On the one hand, activity in the dorsomedial PFC/anterior cingulate cortex (ACC) and anterior insula, brain regions linked with anxiety and sensitivity to risk, should mediate the effect of economic anxiety on increased risk-averse decision-making. On the other hand, activation in the ventromedial PFC, a brain region important in emotion regulation and subjective valuation in decision-making, should mediate the effect of economic anxiety on increased risky decision-making. Results revealed evidence related to both predictions. Additionally, anxiety-specific activation in the dmPFC/ACC and the anterior insula were associated with disrupted learning across the task. These results shed light on the neurobiology of antecedent anxiety and risk-taking and provide potential insight into understanding how real-world anxieties can impact decision-making processes.

Feedback-Related Brain Potentials Indicate the Influence of Craving on Decision-Making in Patients with Alcohol Use Disorder: An Experimental Study

INTRODUCTION

Alcohol craving is a key symptom of alcohol use disorder (AUD) and a significant cause of poor treatment outcome and frequent relapse. Craving is supposed to impair executive functions by modulating reward salience and decision-making.

OBJECTIVE

The present study sought to clarify this modulation by scrutinizing reward feedback processing in an experimental decision-making task, which was accomplished by AUD patients in 2 conditions, in the context of induced alcohol craving and in neutral context.

METHODS

AUD inpatients (N = 40) accomplished the Balloon Analog Risk Task, while their EEG was monitored; counterbalanced across conditions, the tasks were preceded either by craving induction by means of imagery and olfactory alcohol cues, or by neutral cues. Decision choice and variability, and event-related potentials (ERPs) prior to (stimulus-preceding negativity [SPN]) and following (P2a) reward feedback upon decisions, and the outcome-related feedback-related negativity (FRN) were compared between conditions and between patients, who experienced high craving upon alcohol cues (N = 18) and those who did not (N = 22).

RESULTS

Upon craving induction (vs. neutral condition), high-craving AUD patients showed less adjustment of decision choice to preceding reward experience and more variable decisions than low-craving AUD patients, together with accentuated reward-associated ERP (SPN and P2a), while outcome-related FRN was not modified by craving.

CONCLUSIONS

Results support orientation to reward in AUD patients, particularly amplified upon experienced craving, which may interfere with (feedback-guided) decision-making even in alcohol-unrelated context. Craving-accentuated ERP indices suggest neuroadaptive changes of cognitive-motivational states upon chronic alcohol abuse. Together with altered reward-related expectancies, this has to be considered in intervention and relapse prevention.

Executive Functions in Late Adolescence and Early Adulthood and Their Relationship with Risk-Taking Behavior

Executive functions (EF) continue developing throughout adolescence, with immaturity in EF theorized to underlie risk-taking. 129 older adolescents and young adults (aged 17 to 22 years) were assessed using a battery of cool and hot EF tasks, and a behavioral measure of risk-taking propensity. Minimal age-related differences in EF performance were evident, confirming they were largely functionally mature by mid-adolescence. Inconsistent with the predictions of imbalance models of adolescent development, weaker EF was not associated with greater risk-taking propensity. The findings suggest that during later adolescence and early adulthood, not all forms of risk-taking are associated with EF.

Chronic versus recent expressive suppression burdens are differentially associated with cognitive performance among older adults

Introduction: Expressive suppression (ES; suppression of affective behavior) has been shown to have a deleterious impact on subsequently administered tests of executive functions (EF), threatening validity, and reliability of EF assessment. Past research has shown that recent ES (i.e., across 24 hours prior to testing) and chronic ES (i.e., across 2 weeks prior to testing) have differential impact on test performance. The present study compared the association of chronic vs. recent ES with speed vs. accuracy of performance on tests of EF and tests of lower-order processes.

METHOD

Participants were 255 community-dwelling older adults aged 60 and older. Participants completed timed subtests of the Delis-Kaplan Executive Function System and the Burden of State Emotion Regulation Questionnaire.

RESULTS

Hierarchical linear regressions examined the contributions of chronic vs. recent ES to test performance. Recent ES was related to scores of both speed and accuracy on EF tests. The association between recent ES and EF errors held beyond covariates (i.e., chronic ES, demographics, depression, and general cognitive status). In contrast, the association between recent ES and EF speed was fully explained by EF error scores. Chronic ES was associated only with speed of performance and only on lower-order tasks, but this relationship did not survive correction for cognitive, psychiatric, and demographic factors.

CONCLUSIONS

Recent ES appears to be a risk factor for EF lapses. Chronic ES, while related to performance speed, seems to also relate to several other cognitive, psychiatric, and demographic factors, which themselves explain slower information processing.

Risk‐Taking Patterns of Children, Associated Cognitive Weaknesses, and Prevention of Negative Outcomes

Objective

Accidents, drug use, and unsafe sex associated with greater propensity for risk‐taking are leading causes of illness and death among adolescents. This study aimed to help identify and further characterize children with maladaptive risk‐taking to improve primary prevention interventions.

Methods

Two scores from the Bubblegum Analog Risk‐Taking Task for Children (BART‐C), total points and average inflations of unpopped bubbles, were used in a cluster analysis to identify distinct patterns of risk‐taking among 6,267 kindergarten through eighth‐grade children. Clusters were compared with the Flanker Test of Focused Attention, the Go/No‐Go test of inhibition, and the List Sorting Working Memory Test.

Results

Both BART‐C scores made significant (p<0.001) contributions in defining three clusters of children: reckless, risk avoidant, and adaptive risk‐taking. Clusters differed significantly on Flanker Test measures of incongruent accuracy (p=0.004) and reaction time (p<0.001), Go/No‐Go inhibition (p=0.001), and List Sorting Working Memory Test scores (p<0.001). The reckless cluster had lower Flanker accuracy and Go/No‐Go inhibition than did the other groups and lower working memory than the adaptive risk‐taking group. Compared with adaptive risk‐takers, the risk‐avoidant group was slower (p<0.001), showed a nonsignificant trend toward greater accuracy on the Flanker test, and had lower working memory scores (p<0.001).

Conclusions

The BART‐C defined two maladaptive risk‐taking clusters: reckless and risk avoidant. Significant differences in cognitive function between these groups and the adaptive risk‐taking group provides external validation of and further characterizes the clusters. Early intervention may prevent future health‐compromising behaviors among reckless children and may promote fuller learning and development among risk‐avoidant children.

Risk‐taking is a part of adaptive human development but may evolve to maladaptive risk‐taking with detrimental effects on future health and well‐being.

Distinct patterns of maladaptive risk‐taking (i.e., recklessness and risk‐avoidance) are significantly associated with cognitive weaknesses.

Identifying children with different maladaptive risk‐taking behaviors and cognitive weaknesses can help primary prevention programs reduce risk‐associated behaviors with negative health consequences.

Insensitivity to loss predicts apathy in huntington's disease

BACKGROUND

Apathy is a deficit in goal-directed behavior that significantly affects quality of life and function. It is common in Huntington's disease and other disorders affecting corticostriatal pathways. Deficits in processing of reward, altered effort, and executive dysfunction are associated with apathy in other disorders, but the cognitive processes leading to apathy in Huntington's disease remain largely unknown. A previously reported deficit in learning from losses in Huntington's disease raises the possibility of a hitherto unrecognized mechanism leading to apathy. This study's objective was to delineate the cognitive processes associated with apathy in HD.

METHODS

We tested 51 Huntington's disease participants and 26 controls on a battery of novel and established measures to assess the contribution to apathy in Huntington's disease of executive function, reward value, reward-effort calculations, instrumental learning, and response to reward and loss.

RESULTS

Huntington's disase participants had deficits in instrumental learning with impaired response to loss, but no evidence to suggest altered reward-related behavior or effort. We also saw an executive dysfunction contribution to apathy in Huntington's disease.

DISCUSSION

We report the novel finding that apathy in Huntington's disease is associated with blunted responses to losses and impaired instrumental learning. This association is consistent with the known early degeneration of the indirect pathway and amygdala involvement in apathy in Huntington's disease, but is previously unreported in any disorder. In keeping with the comparative preservation of the ventral striatum and orbitofrontal cortex in Huntington's disease, reward valuation and reward-effort calculations did not contribute to apathy. © 2019 International Parkinson and Movement Disorder Society.