Discounting Of Delayed Rewards Research Articles

Posttraumatic stress and delay discounting: a meta-analytic review.

Delay discounting-the extent to which individuals show a preference for smaller immediate rewards over larger delayed rewards-has been proposed as a transdiagnostic neurocognitive process across mental health conditions, but its examination in relation to posttraumatic stress disorder (PTSD) is comparatively recent. To assess the aggregated evidence for elevated delay discounting in relation to posttraumatic stress, we conducted a meta-analysis on existing empirical literature. Bibliographic searches identified 209 candidate articles, of which 13 articles with 14 independent effect sizes were eligible for meta-analysis, reflecting a combined sample size of N = 6897. Individual study designs included case-control (e.g. examination of differences in delay discounting between individuals with and without PTSD) and continuous association studies (e.g. relationship between posttraumatic stress symptom severity and delay discounting). In a combined analysis of all studies, the overall relationship was a small but statistically significant positive association between posttraumatic stress and delay discounting (r = .135, p < .0001). The same relationship was statistically significant for continuous association studies (r = .092, p = .027) and case-control designs (r = .179, p < .001). Evidence of publication bias was minimal. The included studies were limited in that many did not concurrently incorporate other psychiatric conditions in the analyses, leaving the specificity of the relationship to posttraumatic stress less clear. Nonetheless, these findings are broadly consistent with previous meta-analyses of delayed reward discounting in relation to other mental health conditions and provide further evidence for the transdiagnostic utility of this construct.

A cross-sectional analysis of the relationships between anxiety sensitivity and youth irritability: the mediated roles of insomnia and selective attention for threat

BackgroundIrritability is common in multiple psychiatric disorders and is hallmark of disruptive mood dysregulation disorder. Child irritability is associated with higher risk of suicide and adulthood mental health problems. However, the psychological mechanisms of irritability are understudied. This study examined the relationship between anxiety sensitivity and irritability among youth, and further explored three possible mediated factors: selective attention for threat, delayed reward discounting, and insomnia.MethodsParticipants were 1417 students (51.7% male; mean age 13.83 years, SD = 1.48) recruited from one high school in Hunan province, China. Self-report questionnaires were used to measure irritability (The Affective Reactivity Index and The Brief Irritability Test), anxiety sensitivity (The Childhood Anxiety Sensitivity Index), selective attention for threat (The Davos Assessment of Cognitive Biases Scale-attention for threat bias subscale), insomnia (The Youth Self-Rating Insomnia Scale), and delayed reward discounting (The 27-item Monetary Choice Questionnaire). Structural equation modal (SEM) was performed to examine mediated relations.ResultsAnxiety sensitivity was modestly related to irritability and insomnia (r from 0.25 to 0.54) and slightly correlated with selective attention for threat (r from 0.12 to 0.28). However, there is no significant relationship of delayed rewards discounting with anxiety sensitivity and irritability. The results of SEM showed that selective attention for threat (indirect effect estimate = 0.04) and insomnia (indirect effect estimate = 0.20) partially mediate the relationship between anxiety sensitivity and irritability, which explained 34% variation.ConclusionsAnxiety sensitivity is an important susceptibility factor for irritability. Selective attention for threat and insomnia are two mediated mechanisms to understand the relationship between anxiety sensitivity and irritability.

Associations between alcohol demand, delayed reward discounting, and high-intensity drinking in a diverse emerging adult sample.

The high-intensity drinking threshold (HID; 8+/10+ drinks for women/men) is more strongly associated with significant alcohol-related health consequences than the more common heavy episodic drinking threshold (HED; 4+/5+ drinks for women/men). Behavioral economic measures of alcohol reward value (demand) and delayed reward discounting (DRD) have shown associations with other alcohol-related risk behaviors and may contribute to efforts to identify individuals who are at risk for HID from the larger subgroup of at-risk drinkers who engage in HED. Logistic regression analyses tested if alcohol demand and DRD were associated with HID in a sample of 477 emerging adults who reported recent heavy drinking. Receiver operating curve (ROC) analyses were conducted to test these variables' ability to classify HID group membership and to select an optimal cutoff score. In logistic regression analyses controlling for typical weekly drinking, demographics, and other variables associated with HID, participants reporting higher demand intensity (amount of alcohol purchased when price is zero; Adjusted Odds Ratio (AOR) = 20.27, 95% CI [5.71, 71.91]) and lower demand elasticity (sensitivity of alcohol consumption to increases in cost; AOR = .29, 95% CI [.11, 72]) were more likely to report HID relative to HED. Omax (maximum alcohol expenditure) and DRD were associated with HID in bivariate, but not in multivariate models. The ROC analysis provided support for an intensity cutoff of 7.5 or higher. These findings suggest that brief alcohol demand curve measures, in particular demand intensity and elasticity, may have utility in identifying individuals who are at risk for HID. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Incorporating socioeconomic status into studies on delay discounting and health via subjective financial status: An initial validation in tobacco use.

Delayed reward discounting (DRD) refers to the extent to which an individual devalues a reward based on its delay in time and has been linked to a wide variety of health behaviors. Because it is commonly measured using monetary rewards, income is typically used as a covariate to adjust for a person's socioeconomic status. Standard financial income measures have several limitations, such as not incorporating pertinent considerations like cost of living or number of financial dependents. This study examined a novel subjective financial status measure that uses a simple omnibus self-attribution as an alternative strategy. The novel measure was examined in the context of tobacco involvement and compared with a traditional objective measure in two samples, one comprising 1,430 community-recruited adults (Mage = 38.9, 58.3% female) and the other comprising 852 adult daily smokers (Mage = 31.1, 38% female). Associations between DRD, subjective and objective income measures, and cigarette dependence were explored using correlational analyses, equivalence testing, and hierarchical linear regressions. Correlations revealed subjective income was robustly positively correlated with traditional income (rs = .52-.56) and had stronger associations with DRD and cigarette dependence compared to traditional income. Equivalence testing and multiple hierarchical regressions found subjective income to be statistically equivalent or superior to the traditional income measure. These findings provide initial support for the utility of this novel subjective income measurement to account for economic status in research on DRD and health. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

A machine learning-derived neuroanatomical pattern predicts delayed reward discounting in the Human Connectome Project Young Adult sample.

Delayed reward discounting (DRD) is defined as the extent to which person favors smaller rewards that are immediately available over larger rewards available in the future. Higher levels of DRD have been identified in individuals with a wide range of clinical disorders. Although there have been studies adopting larger samples and using only gray matter volume to characterize the neuroanatomical correlates of DRD, it is still unclear whether previously identified relationships are generalizable (out-of-sample) and how cortical thickness and cortical surface area contribute to DRD. In this study, using the Human Connectome Project Young Adult dataset (N=1038), a machine learning cross-validated elastic net regression approach was used to characterize the neuroanatomical pattern of structural magnetic resonance imaging variables associated with DRD. The results revealed a multi-region neuroanatomical pattern predicted DRD and this was robust in a held-out test set (morphometry-only R2 = 3.34%, morphometry + demographics R2 =6.96%). The neuroanatomical pattern included regions implicated in the default mode network, executive control network, and salience network. The relationship of these regions with DRD was further supported by univariate linear mixed effects modeling results, in which many of the regions identified as part of this pattern showed significant univariate associations with DRD. Taken together, these findings provide evidence that a machine learning-derived neuroanatomical pattern encompassing various theoretically relevant brain networks produces robustly predicts DRD in a large sample of healthy young adults.

Contextual decision-making and alcohol use disorder criteria: Delayed reward, delayed loss, and probabilistic reward discounting.

Alcohol use disorder (AUD) is an etiologically heterogeneous psychiatric disorder defined by a collection of commonly observed co-occurring symptoms. It is useful to contextualize AUD within theoretical frameworks to identify potential prevention, intervention, and treatment approaches that target personalized mechanisms of behavior change. One theoretical framework, behavioral economics, suggests that AUD is a temporally extended pattern of cost/benefit analyses favoring drinking decisions. The distribution of costs and benefits across choice outcomes is often unequally distributed over time and has different probabilities of receipt, such that delay and probability become critical variables. The present study examines the relations between different forms of economic discounting (delayed reward, delayed cost, and probabilistic reward) and individual symptoms of AUD to inform etiological models. Participants (N = 732; 41% female, 4.2% Black, 88.1% White, 8% Hispanic) completed an online survey with measures of AUD symptoms and economic discounting. We examined relations between economic discounting and AUD symptoms with zero-order correlations, in separate models (factor models), and in models controlling for an AUD factor (factor-controlled models). Delayed reward discounting was positively associated with the give up AUD criteria across all three levels of analysis. Probability discounting was associated with social/interpersonal problems across two out of three sets of analyses. Consistent with the broad discounting literature, effect sizes were small (range = -.15 to .13). These results support the idea that AUD criteria are etiologically distinct, resulting in varying AUD profiles between persons that are differentially associated with behavioral economic discounting. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Supplemental Material for Associations Between Alcohol Demand, Delayed Reward Discounting, and High-Intensity Drinking in a Diverse Emerging Adult Sample

Supplemental Material for Associations Between Alcohol Demand, Delayed Reward Discounting, and High-Intensity Drinking in a Diverse Emerging Adult Sample

One-year predictions of delayed reward discounting in the adolescent brain cognitive development study.

Delayed reward discounting (DRD) refers to the extent to which an individual devalues a reward based on a temporal delay and is known to be elevated in individuals with substance use disorders and many mental illnesses. DRD has been linked previously with both features of brain structure and function, as well as various behavioral, psychological, and life-history factors. However, there has been little work on the neurobiological and behavioral antecedents of DRD in childhood. This is an important question, as understanding the antecedents of DRD can provide signs of mechanisms in the development of psychopathology. The present study used baseline data from the Adolescent Brain Cognitive Development Study (N = 4,042) to build machine learning models to predict DRD at the first follow-up visit, 1 year later. In separate machine learning models, we tested elastic net regression, random forest regression, light gradient boosting regression, and support vector regression. In five-fold cross-validation on the training set, models using an array of questionnaire/task variables were able to predict DRD, with these findings generalizing to a held-out (i.e., "lockbox") test set of 20% of the sample. Key predictive variables were neuropsychological test performance at baseline, socioeconomic status, screen media activity, psychopathology, parenting, and personality. However, models using magnetic resonance imaging (MRI)-derived brain variables did not reliably predict DRD in either the cross-validation or held-out test set. These results suggest a combination of questionnaire/task variables as antecedents of excessive DRD in late childhood, which may presage the development of problematic substance use in adolescence. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Episodic future thinking as a brief alcohol intervention for heavy drinking college students: A pilot feasibility study.

Episodic future thinking (EFT), an exercise that involves cognitive simulation of future events, has demonstrated proximal effects on alcohol demand and delayed reward discounting (DRD). However, few studies have investigated EFT's potential to reduce alcohol use and increase positive behaviors outside of the laboratory. This study is the first to pilot an academic goal-relevant EFT (A-EFT) intervention for heavy drinking college students. The primary goals were to evaluate the feasibility and acceptability of A-EFT in this population. A secondary goal was to evaluate between- and within-condition changes from baseline to post-intervention and 1-month assessments. Participants were 45 undergraduates (73% women, 53% White, 27% Black) who reported at least two past-month heavy drinking episodes (4/5 drinks for women/men). Participants were randomized to a brief in-person A-EFT intervention or to a vivid memory task (VMT) control. In support of feasibility and acceptability, recruitment and retention rates were over 80% and participants rated the A-EFT intervention as enjoyable, personally relevant, and interesting. In support of initial efficacy, participants assigned to A-EFT increased the amount of time spent studying compared to controls (d = 1.16) at 1-month assessment. Participants in the A-EFT group reported moderate effect size reductions in alcohol consumption, and a similar size increase in protective drinking strategies. Demand intensity decreased moderately at post-intervention for participants in the A-EFT condition but there was little change in DRD. The current study provides support for the feasibility and acceptability of an academic goal-relevant EFT intervention and for further research to establish treatment efficacy. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Neuroanatomical foundations of delayed reward discounting decision making II: Evaluation of sulcal morphology and fractal dimensionality

Delayed reward discounting (DRD) is a form of decision-making reflecting valuation of smaller immediate rewards versus larger delayed rewards, and high DRD has been linked to several health behaviors, including substance use disorders, attention-deficit/hyperactivity disorder, and obesity. Elucidating the underlying neuroanatomical factors may offer important insights into the etiology of these conditions. We used structural MRI scans of 1038 Human Connectome Project participants (Mage = 28.86, 54.7% female) to explore two novel measures of neuroanatomy related to DRD: 1) sulcal morphology (SM; depth and width) and 2) fractal dimensionality (FD), or cortical morphometric complexity, of parcellated cortical and subcortical regions. To ascertain unique contributions to DRD preferences, indicators that displayed significant partial correlations with DRD after family-wise error correction were entered into iterative mixed-effect models guided by the association magnitude. When considering only SM indicators, the depth of the right inferior and width of the left central sulci were uniquely associated with DRD preferences. When considering only FD indicators, the FD of the left middle temporal gyrus, right lateral orbitofrontal cortex, and left lateral occipital and entorhinal cortices uniquely contributed DRD. When considering SM and FD indicators simultaneously, the right inferior frontal sulcus depth and left central sulcus width; and the FD of the left middle temporal gyrus, lateral occipital cortex and entorhinal cortex were uniquely associated with DRD. These results implicate SM and FD as features of the brain that underlie variation in the DRD decision-making phenotype and as promising candidates for understanding DRD as a biobehavioral disease process.

Changes in Loss Sensitivity During Treatment in Concurrent Disorders Inpatients: A Computational Model Approach to Assessing Risky Decision-Making.

BackgroundRecent studies have employed computational modeling to characterize deficits in aspects of decision-making not otherwise detected using traditional behavioral task outcomes. While prospect utility-based modeling has shown to differentiate decision-making patterns between users of different drugs, its relevance in the context of treatment has yet to be examined. This study investigated model-based decision-making as it relates to treatment outcome in inpatients with co-occurring mental health and substance use disorders.Methods50 patients (Mage = 38.5, SD = 11.4; 16F) completed the Cambridge Gambling Task (CGT) within 2 weeks of admission (baseline) and 6 months into treatment (follow-up), and 50 controls (Mage = 31.9, SD = 10.0; 25F) completed CGT under a single outpatient session. We evaluated 4 traditional CGT outputs and 5 decisional processes derived from the Cumulative Model. Psychiatric diagnoses and discharge data were retrieved from patient health records.ResultsGroups were similar in age, sex, and premorbid IQ. Differences in years of education were included as covariates across all group comparisons. All patients had ≥1 mental health diagnosis, with 80% having >1 substance use disorder. On the CGT, patients showed greater Deliberation Time and Delay Aversion than controls. Estimated model parameters revealed higher Delayed Reward Discounting, and lower Probability Distortion and Loss Sensitivity in patients relative to controls. From baseline to follow-up, patients (n = 24) showed a decrease in model-derived Loss Sensitivity and Color Choice Bias. Lastly, poorer Quality of Decision-Making and Choice Consistency, and greater Color Choice Bias independently predicted higher likelihood of treatment dropout, while none were significant in relation to treatment length of stay.ConclusionThis is the first study to assess a computational model of decision-making in the context of treatment for concurrent disorders. Patients were more impulsive and slower to deliberate choice than controls. While both traditional and computational outcomes predicted treatment adherence in patients, findings suggest computational methods are able to capture treatment-sensitive aspects of decision-making not accessible via traditional methods. Further research is needed to confirm findings as well as investigate the relationship between model-based decision-making and post-treatment outcomes.

Behavioral economic analysis of topiramate pharmacotherapy for alcohol: a placebo-controlled investigation of effects on alcohol reinforcing value and delayed reward discounting.

Pharmacotherapies are an important clinical strategy for treating alcohol use disorder and an understanding of their functional mechanisms can inform optimal use. Behavioral economics provides a translational platform that may advance our understanding of the motivational impacts of pharmacotherapies. This secondary analysis study examined the effect of topiramate, a promising pharmacotherapy for treating alcohol use disorder, on two behavioral economic domains, the reinforcing value of alcohol (alcohol demand and alcohol-specific monetary expenditures) and delayed reward discounting (preference for smaller immediate rewards over larger delayed rewards). A double-blind randomized placebo-controlled study (n = 99) was conducted with non-treatment seeking heavy drinkers, comparing topiramate (target dose of 200mg/day titrated for 3weeks and remained at the target dose for 2weeks) to matched placebo. We found that compared to placebo, topiramate reduced the reinforcing value of alcohol, as shown by a reduction in two alcohol demand indices (intensity and Omax), money spent per week on alcohol and an almost a 50% increase in days without expenditures on alcohol from baseline. Directionally consistent patterns were also present for breakpoint and elasticity (ps = .08). No significant effects were found for delayed reward discounting. This study provides evidence that topiramate reduces alcohol's reinforcing value as measured by alcohol demand and alcohol expenditure. More broadly, these findings support the utility of behavioral economics for understanding how medications reduce alcohol use.

The effect of working memory capacity and training on intertemporal decision making in children from low-socioeconomic-status families

Individuals differ in their tendency to discount delayed rewards. Low socioeconomic status (SES) has been found to be associated with strong delayed reward discounting (DRD), which in turn contributes to risky decision making and adverse behaviors. However, research on possible cognitive mediators of the negative association between SES and DRD, and on effects of cognitive training in low-SES adolescents, is largely lacking. In examining Chinese adolescents (aged 11–15 years; N = 207), Study 1 assessed which aspect of working memory (WM)—simple maintenance, simple manipulation, or updating—serves as mediator, which proved to be WM updating. Based on this outcome, in Study 2 Chinese adolescents (aged 12–14 years; N = 73) with low family SES were assigned to a WM updating training condition or a control condition. All participants performed DRD and WM tasks before and after treatment. The trained adolescents showed positive training effects on DRD, and this effect was specifically correlated with beneficial training effects on performance on a WM updating transfer task. These results support the role of WM updating in DRD and might inform training programs to promote more favorable decision making in low-SES adolescents.

Tailored Cigarette Warning Messages: How Individualized Loss Aversion and Delay Discounting Rates Can Influence Perceived Message Effectiveness.

Current text-only cigarette warning labels (long-term, loss-framed messages) may not motivate positive changes in smoking behavior. The current project was a cross-sectional study examining the effects of tailored cigarette warnings on perceived message effectiveness (PME) in adult smokers (n = 512) conducted using Amazon Mechanical Turk (M-Turk) in January–February 2020. Participants were an average age of 40.7 (SD = 11.6), with the majority of the sample being female (62.2%) and White (88.9%). Participants reported smoking an average of 14.6 cigarettes/day (SD = 9.2) with an average FTND score of 4.6 (SD = 2.2). Participants were asked to complete a tobacco use history questionnaire, and mixed gambles and delay discounting tasks before random assignment to one of five message groups. The groups were based on a 2 (gain versus loss framing) ×2 (short-term versus long-term framing) between-subject design; a fifth group served as the control group. All experimental messages reported higher PME scores than the control (p values < 0.001, Cohen’s d = 1.88–2.48). Participants with shallower delayed reward discounting and lower loss aversion rates reported higher total PME scores, p values < 0.05. Our findings also suggest that loss aversion rates vary widely among smokers and that individuals are more responsive to messages congruent with their behavioral economic profile. Specifically, smokers who viewed messages congruent with their loss aversion and delay discounting rates reported higher PME scores than those who viewed incongruent messages (p = 0.04, Cohen’s d = 0.24). These preliminary findings suggest that anti-smoking campaigns may best impact smokers by tailoring messages based on individual loss aversion and delay discounting rates versus a one-size-fits-all approach.

Delayed reward discounting and increased risk for suicide attempts among U.S. adults with probable PTSD

BackgroundPTSD is an established risk factor for suicide attempts and suicide death, but the mechanisms underlying this association remain unknown. The present study examined associations among delayed reward discounting—the balance between smaller immediate available rewards versus larger delayed rewards—self-reported PTSD symptoms, and recent suicide attempts among individuals reporting suicide ideation within the past year. MethodsA cross-sectional survey of U.S. adults completed the Primary Care PTSD Screen for DSM-5, the 21-item Monetary Choice Questionnaire, and the Self-Injurious Thoughts and Behaviors Interview-Revised. Analyses of variance and multinomial regression models were used to test associations among variables. ResultsAmong participants reporting suicide ideation within the past year, discount rates were significantly higher among those reporting more PTSD symptoms and a past-year suicide attempt, suggesting these participants expressed a preference for immediately available rewards. ConclusionsChoice behavior among individuals reporting many PTSD symptoms and a recent suicide attempt is influenced to a greater degree by immediately available rewards. Sensitivity to immediate rewards at the expense of larger delayed rewards may reflect a vulnerability for suicidal behavior among individuals screening positive for PTSD.

Delayed Reward Discounting as a Prognostic Factor for Smoking Cessation Treatment Outcome: A Systematic Review

Abstract Introduction While large proportions of smokers attempt to quit, rates of relapse remain high and identification of valid prognostic markers is of high priority. Delayed reward discounting (DRD) is a behavioral economic index of impulsivity that has been associated with smoking cessation, albeit inconsistently. This systematic review sought to synthesize the empirical findings on DRD as a predictor of smoking cessation treatment outcome, to critically appraise the quality of the literature, and to propose directions for future research. Aims and Methods A total of 734 articles were identified, yielding k = 14 studies that met the eligibility criteria. The Quality in Prognosis Studies (QUIPS) tool was used to assess methodological quality of the included studies. Results Individual study methods were highly heterogeneous, including substantial variation in research design, DRD task, clinical subpopulation, and treatment format. The predominant finding was that steeper DRD (higher impulsivity) was associated with significantly worse smoking cessation outcomes (10/14 studies). Negative results tended to be in pregnant and adolescent subpopulations. The QUIPS results suggested low risk of bias across studies; 11/14 studies were rated as low risk of bias for 5/6 QUIPS domains. Conclusions This review revealed consistent low-bias evidence for impulsive DRD as a negative prognostic predictor of smoking cessation treatment outcome in adults. However, methodological heterogeneity was high, precluding meta-analysis and formal tests of small study bias. The prospects of targeting impulsive DRD as a potentially modifiable risk factor or providing targeted treatment for smokers exhibiting high levels of discounting are discussed. Implications These findings indicate consistent evidence for DRD as a negative prognostic factor for smoking cessation outcome in adults. As such, DRD may be a useful as a novel treatment target or for identifying high-risk populations requiring more intensive treatment.

Discounting of delayed monetary and cannabis rewards in a crowdsourced sample of adults.

Excessive delayed reward discounting (DD) is observed across many addictive disorders. However, research on DD among cannabis users is limited, with even less research on discounting of cannabis rewards. This study examined monetary and cannabis reward discounting among cannabis and noncannabis users. A large sample of adults (N = 2,857) recruited from an online crowdsourcing platform was assessed on demographics and DD of monetary ($10, $100) and cannabis (10 g) rewards. Analyses of variance were used to evaluate magnitude and commodity effects. Hierarchical multiple regression models were run to assess whether cannabis use frequency was associated with discounting rates for monetary and cannabis rewards. A magnitude effect was found for the monetary rewards where $10 was discounted more steeply compared to $100 (p < .0001). A commodity effect was found where discounting was higher for the 10g cannabis reward compared to monetary rewards (ps < .05). Regression models controlling for demographics and other substance use indicated severity of cannabis problems significantly predicted discounting of $100 (β = .045, p < .05) and 10 g of cannabis (β = .088, p < .05). Cannabis use frequency was not significantly associated with any DD measures after controlling for other substance use (ps > .05). These results suggest the association between cannabis use and DD is complex and generally small in magnitude. This study adds to the literature on DD and cannabis use and suggests the need for further studies to determine the extent to which cannabis use impacts DD, both chronically and acutely. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The Effectiveness of Delayed Discounting Model of Mindfulness-Based Cognitive Therapy on Delayed Reward Discounting, Impulsivity and Sensation Seeking in Individuals with Substance Use Disorders

The Effectiveness of Delayed Discounting Model of Mindfulness-Based Cognitive Therapy on Delayed Reward Discounting, Impulsivity and Sensation Seeking in Individuals with Substance Use Disorders

Adverse Parenting Is Indirectly Linked to Delayed Reward Discounting via Blunted RSA Reactivity: the Protective Role of a Shift-and-Persist Coping Strategy

Exposure to adverse parenting experiences, either from being reared under conditions of threat or deprivation, is a major source of chronic stress that is linked to youths’ dysregulated stress responses and impulsive decision-making. Many youth, however, adapt well and develop optimal decision-making despite the experience of adversity. Research has shown that the use of cognitive strategies to cope with stress, such as accepting and adapting to an acute stressor (i.e., shifting) and effortfully pursuing future goals (i.e., persisting), can mitigate the influence of adverse parenting experiences on impulsive decision-making and risk behaviors. However, scarce research examines the role of shift-and-persist in mitigating the neurobiological mechanisms underlying the effects of adverse parenting on youths’ decision-making. The current study investigated whether shift-and-persist strategy can buffer the indirect link between adverse parenting and youths’ impulsive decision-making via dysregulated stress reactivity gauged by blunted respiratory sinus arrhythmia (RSA) reactivity. Data were obtained from a longitudinal sample of mostly minority (75.2% African American) low-SES preadolescents and their primary caregivers (N = 101). The youths’ decision-making was indexed by an assessment of delayed reward discounting (DRD). Results indicated that the threat dimension of adverse parenting was significantly linked to youths’ blunted RSA reactivity. Further, employing a shift-and-persist coping strategy significantly mitigated the indirect effect of threatening parenting behaviors on youths’ impulsive DRD via blunted RSA reactivity. Findings from the current study can inform prevention and intervention programs that aim to promote the development of resilience among youth who experience adverse and threatening rearing environments.

Cocaine-related alterations in fronto-parietal gray matter volume correlate with trait and behavioral impulsivity

BackgroundChronic cocaine use is associated with structural brain abnormalities within prefrontal regions implicated in impulsivity. Despite high levels of impulsivity among persons who use cocaine, it is not known how reductions in gray matter volume (GMV) may relate to trait and behavioral measures of impulsivity. MethodsThe sample included 39 active cocaine users (COC+) and 40 controls with no history of cocaine use (COC−). Participants had a brain scan on a 3 T MRI machine and completed out-of-scanner measures of trait impulsivity and delayed reward discounting. Whole-brain voxel-based morphometry was used to compare GMV between COC+ and COC−. Within regions that differed between groups, voxelwise correlations were conducted to examine the relationship between GMV and impulsivity. ResultsIn a whole-brain analysis, COC+ had broad reductions in GMV compared to COC− in bilateral frontal, parietal, occipital, and cerebellar regions. Lower GMV correlated with trait impulsivity in lateral prefrontal regions and with delayed reward discounting in medial prefrontal regions, while lower GMV correlated with both measures in the posterior parietal cortex. COC+ demonstrated significantly higher impulsivity than COC− on all measures, but the nature of the correlation with GMV was similar in both groups. ConclusionsReflecting the multi-faceted nature of impulsivity, these results show that trait and behavioral measures of impulsivity map differentially onto altered brain morphology. While the brain-behavior patterns were similar in COC+ and COC−, suggesting that impulsivity varies on a continuous spectrum, cocaine-related abnormalities in frontal-parietal brain systems may contribute to heightened impulsivity.