Joshua A. Weller

Functional Dissociations of Risk and Reward Processing in the Medial Prefrontal Cortex

Making a risky decision is a complex process that involves evaluation of both the value of the options and the associated risk level. Yet the neural processes underlying these processes have not so far been clearly identified. Using functional magnetic resonance imaging and a task that simulates risky decisions, we found that the dorsal region of the medial prefrontal cortex (MPFC) was activated whenever a risky decision was made, but the degree of this activity across subjects was negatively correlated with their risk preference. In contrast, the ventral MPFC was parametrically modulated by the received gain/loss, and the activation in this region was positively correlated with an individuals risk preference. These results extend existing neurological evidence by showing that the dorsal and ventral MPFC convey different decision signals (i.e., aversion to uncertainty vs. approach to rewarding outcomes), where the relative strengths of these signals determine behavioral decisions involving risk and uncertainty.

Development and Testing of an Abbreviated Numeracy Scale: A Rasch Analysis Approach

ABSTRACT Research has demonstrated that individual differences in numeracy may have important consequences for decision making. In the present paper, we develop a shorter, psychometrically improved measure of numeracy—the ability to understand, manipulate, and use numerical information, including probabilities. Across two large independent samples that varied widely in age and educational level, participants completed 18 items from existing numeracy measures. In Study 1, we conducted a Rasch analysis on the item pool and created an eight‐item numeracy scale that assesses a broader range of difficulty than previous scales. In Study 2, we replicated this eight‐item scale in a separate Rasch analysis using data from an independent sample. We also found that the new Rasch‐based numeracy scale, compared with previous measures, could predict decision‐making preferences obtained in past studies, supporting its predictive validity. In Study, 3, we further established the predictive validity of the Rasch‐based numeracy scale. Specifically, we examined the associations between numeracy and risk judgments, compared with previous scales. Overall, we found that the Rasch‐based scale was a better linear predictor of risk judgments than prior measures. Moreover, this study is the first to present the psychometric properties of several popular numeracy measures across a diverse sample of ages and educational level. We discuss the usefulness and the advantages of the new scale, which we feel can be used in a wide range of subject populations, allowing for a more clear understanding of how numeracy is associated with decision processes. Copyright

Neural Correlates of Adaptive Decision Making for Risky Gains and Losses

Do decisions about potential gains and potential losses require different neural structures for advantageous choices? In a lesion study, we used a new measure of adaptive decision making under risk to examine whether damage to neural structures subserving emotion affects an individuals ability to make adaptive decisions differentially for gains and losses. We found that individuals with lesions to the amygdala, an area responsible for processing emotional responses, displayed impaired decision making when considering potential gains, but not when considering potential losses. In contrast, patients with damage to the ventromedial prefrontal cortex, an area responsible for integrating cognitive and emotional information, showed deficits in both domains. We argue that this dissociation provides evidence that adaptive decision making for risks involving potential losses may be more difficult to disrupt than adaptive decision making for risks involving potential gains. This research further demonstrates the role of emotion in decision competence.

Organization and Predictive Power of General and Relationship-Specific Attachment Models: One for All, and All for One?

Given recent evidence for multiple attachment models, we examined the organization and predictive power of general and relationship-specific attachment representations in two samples using two distinct measures of attachment models. With regard to associations among relationship-specific models, peer models (romantic partner and friend) and parental models (mother and father) were more similar to each other than to any other models, and anxiety/self-model representations were more consistent across relationships than avoidance/other-model representations. With regard to links between general and specific models, romantic and friend models made the strongest and independent contributions to general models, and romantic relationship involvement moderated the importance of romantic models to general models. With regard to differential predictive power of multiple models, general, romantic partner, and mother attachment made unique contributions to well-being indicators; relationship outcomes, however, were only predicted by individuals’ corresponding relationship-specific models. Implications for the measurement and conceptualization of adult attachment are discussed.

The effects of insula damage on decision-making for risky gains and losses

Abstract Several lines of functional neuroimaging studies have attributed a role for the insula, a critical component of the brains emotional circuitry, in risky decision-making. However, very little evidence yet exists as to whether the insula is necessary for advantageous decision-making under risk, specifically decisions involving uncertain gains and losses. The present study uses a risky decision-making task with lesion patients and healthy controls to investigate the effects of focal insula damage on risk-taking to achieve gains and to avoid losses. Compared to healthy controls, insula lesion patients showed an altered decision-making pattern in domains involving both risky gains and risky losses. Specifically, insula damage was associated with insensitivity to differences in expected value between choice options. Additionally, patients made significantly fewer risky choices than healthy adults in the gain domain. In conjunction with earlier findings, these results suggest that risky decision-making is dependent on the integrity of a neural circuitry that includes several brain regions known to be critical for the experience and expression of emotions, namely the insula, amygdala, and ventromedial prefrontal cortex. However, each neural region seems to provide a distinct contribution to the overall process of decision-making.

Do individual differences in Iowa Gambling Task performance predict adaptive decision making for risky gains and losses

We relate performance on the Iowa Gambling Task (IGT), a widely used, but complex, neuropsychological task of executive function in which mixed outcomes (gains and losses) are experienced together, to performance on a relatively simpler descriptive task, the Cups task, which isolates adaptive decision making for achieving gains and avoiding losses. We found that poor IGT performance was associated with suboptimal decision making on Cups, especially for risky losses, suggesting that losses are weighted more than gains in the IGT. These findings were significant beyond several notable gender differences in which men outperformed women. Implications for the neuropsychological study of risk are discussed.

Poor Decision Making Among Older Adults Is Related to Elevated Levels of Neuroticism

BackgroundA well-studied index of reasoning and decision making is the Iowa Gambling Task (IGT). The IGT possesses many features important to medical decision making, such as weighing risks and benefits, dealing with unknown outcomes, and making decisions under uncertainty.PurposeThere exists a great deal of individual variability on the IGT, particularly among older adults, and the present study examines the role of personality in IGT performance. We explored which of the five-factor model of personality traits were predictive of decision-making performance, after controlling for relevant demographic variables.MethodsOne hundred and fifty-two healthy cognitively intact adults (aged 26–85) were individually administered the IGT and the NEO Five-Factory Inventory.ResultsIn the older adults, but not the younger, higher NEO neuroticism was associated with poorer IGT performance.ConclusionsOur findings are discussed in the context of how stress may impact cognitive performance and cause dysfunction of neural systems in the brain important for decision making.

A neuropsychological approach to understanding risk-taking for potential gains and losses

Affective neuroscience has helped guide research and theory development in judgment and decision-making by revealing the role of emotional processes in choice behavior, especially when risk is involved. Evidence is emerging that qualitatively and quantitatively different processes may be involved in risky decision-making for gains and losses. We start by reviewing behavioral work by Kahneman and Tversky (1979) and others, which shows that risk-taking differs for potential gains and potential losses. We then turn to the literature in decision neuroscience to support the gain versus loss distinction. Relying in part on data from a new task that separates risky decision-making for gains and losses, we test a neural model that assigns unique mechanisms for risky decision-making involving potential losses. Included are studies using patients with lesions to brain areas specified as important in the model and studies with healthy individuals whose brains are scanned to reveal activation in these and other areas during risky decision-making. In some cases, there is evidence that gains and losses are processed in different regions of the brain, while in other cases the same region appears to process risk in a different manner for gains and losses. At a more general level, we provide strong support for the notion that decisions involving risk-taking for gains and decisions involving risk-taking for losses represent different psychological processes. At a deeper level, we present mounting evidence that different neural structures play different roles in guiding risky choices in these different domains. Some structures are differentially activated by risky gains and risky losses while others respond uniquely in one domain or the other. Taken together, these studies support a clear functional dissociation between risk-taking for gains and risk-taking for losses, and further dissociation at the neural level.

Possession Attachment Predicts Cell Phone Use While Driving

OBJECTIVE Distracted driving has become an important public health concern. However, little is known about the predictors of this health-risking behavior. One overlooked risk factor for distracted driving is the perceived attachment that one feels toward his or her phone. Prior research has suggested that individuals develop bonds toward objects, and qualitative research suggests that the bond between young drivers and their phones can be strong. It follows that individuals who perceive a strong attachment to their phone would be more likely to use it, even when driving. METHOD In a nationally representative sample of young drivers (17-28 years), participants (n = 1,006) completed a survey about driving behaviors and phone use. Risk perception surrounding cell phone use while driving and perceived attachment to ones phone were assessed by administering factor-analytically derived scales that were created as part of a larger project. RESULTS Attachment toward ones phone predicted the proportion of trips in which a participant reported using their cell phone while driving, beyond that accounted for by risk perception and overall phone use. Further, attachment predicted self-reported distracted driving behaviors, such as the use of social media while driving. CONCLUSIONS Attachment to ones phone may be an important but overlooked risk factor for the engagement of potentially health-risking driving behaviors. Understanding that phone attachment may adversely affect driving behaviors has the potential to inform prevention and intervention efforts designed to reduce distracted driving behaviors, especially in young drivers.

Decision-Making Deficits Among Maltreated Children

Although maltreated children involved with child welfare services are known to exhibit elevated levels of health-risking behaviors, little is known about their decision-making processes leading to such tendencies. Research findings suggest that maltreated children exhibit developmental delays in neurocognitive and emotional regulation systems that could adversely impact their abilities to make decisions under conditions of risk. Whereas prior researchers have examined risky decision making as a global construct, maltreated children’s decision making was examined in two contexts in the present study: potential gains and potential losses. Comparing maltreated children (n = 25) and a nonmaltreated community group (n = 112), it was found that the maltreated children showed decision-making impairments for both domains: This impairment was especially prominent in the loss domain. The maltreated children took excessive risks and were insensitive to changes in expected value. Follow-up analyses revealed that these differences were primarily associated with insensitivity to changes in outcome magnitude for the risky option. Finally, response latency analyses indicated that the maltreated children were slower to make choices, reinforcing underlying differences in decision processes between groups. These results have implications for basic and translational science.