Individual differences in decision making competence revealed by multivariate fMRI.

While an extensive literature in decision neuroscience has elucidated the neurobiological foundations of decision making, prior research has focused primarily on group-level effects in a sample population. Due to the presence of inherent differences between individuals' cognitive abilities, it is also important to examine the neural correlates of decision making that explain interindividual variability in cognitive performance. This study therefore investigated how individual differences in decision making competence, as measured by the Adult Decision Making Competence (A-DMC) battery, are related to functional brain connectivity patterns derived from resting-state fMRI data in a sample of 304 healthy participants. We examined connectome-wide associations, identifying regions within frontal, parietal, temporal, and occipital cortex that demonstrated significant associations with decision making competence. We then assessed whether the functional interactions between brain regions sensitive to decision making competence and seven intrinsic connectivity networks (ICNs) were predictive of specific facets of decision making assessed by subtests of the A-DMC battery. Our findings suggest that individual differences in specific facets of decision making competence are mediated by ICNs that support executive, social, and perceptual processes, and motivate an integrative framework for understanding the neural basis of individual differences in decision making competence.

Motivated explanation.

Although motivation is a well-established field of study in its own right, and has been fruitfully studied in connection with attribution theory and belief formation under the heading of "motivated thinking," its powerful and pervasive influence on specifically explanatory processes is less well explored. Where one has a strong motivation to understand some event correctly, one is thereby motivated to adhere as best one can to normative or "epistemic" criteria for correct or accurate explanation, even if one does not consciously formulate or apply such criteria. By contrast, many of our motivations to explain introduce bias into the processes involved in generating, evaluating, or giving explanations. Non-epistemic explanatory motivations, or following Kunda's usage, "directional" motivations, include self-justification, resolution of cognitive dissonance, deliberate deception, teaching, and many more. Some of these motivations lead to the relaxation or violation of epistemic norms; others enhance epistemic motivation, so that one engages in more careful and thorough generational and evaluative processes. We propose that "real life" explanatory processes are often constrained by multiple goals, epistemic and directional, where these goals may mutually reinforce one another or may conflict, and where our explanations emerge as a matter of weighing and satisfying those goals. We review emerging evidence from psychology and neuroscience to support this framework and to elucidate the central role of motivation in human thought and explanation.

Lesion Mapping the Four-Factor Structure of Emotional Intelligence.

Emotional intelligence (EI) refers to an individual's ability to process and respond to emotions, including recognizing the expression of emotions in others, using emotions to enhance thought and decision making, and regulating emotions to drive effective behaviors. Despite their importance for goal-directed social behavior, little is known about the neural mechanisms underlying specific facets of EI. Here, we report findings from a study investigating the neural bases of these specific components for EI in a sample of 130 combat veterans with penetrating traumatic brain injury. We examined the neural mechanisms underlying experiential (perceiving and using emotional information) and strategic (understanding and managing emotions) facets of EI. Factor scores were submitted to voxel-based lesion symptom mapping to elucidate their neural substrates. The results indicate that two facets of EI (perceiving and managing emotions) engage common and distinctive neural systems, with shared dependence on the social knowledge network, and selective engagement of the orbitofrontal and parietal cortex for strategic aspects of emotional information processing. The observed pattern of findings suggests that sub-facets of experiential and strategic EI can be characterized as separable but related processes that depend upon a core network of brain structures within frontal, temporal and parietal cortex.

Understanding and treating comorbid anxiety disorders in substance users: review and future directions.

Anxiety disorders commonly occur among those with substance use disorders. This article reviews the literature describing the prevalence and patterns of this comorbidity in epidemiological and clinical samples and theoretical models explaining this comorbidity, and reviews the effects of anxiety disorders on substance use outcomes and data from clinical trials that target comorbid anxiety disorders to examine the effects of treating anxiety disorders on substance use outcomes. Next, this review outlines evidence-based pharmacological and psychological treatments for anxiety disorders and provides treatment recommendations for those treating this comorbid population. Finally, a discussion of treatment-delivery issues is presented to address the important issues that arise when treating anxiety disorders in typical addictions-treatment settings.

Treatment of comorbid substance use and anxiety disorders: a case study.

This case study of combined anxiety with both alcohol and benzodiazepine dependence illustrates key issues in presentation, differential diagnosis and management. The case is discussed from a biopsychosocial perspective with each of the discussants focusing on their particular area of experience and expertise, then the treatment package is presented in an integrated fashion. Of particular interest is how social anxiety disorder may become a significant barrier to engagement and retention, and thus outcome in persons presenting for addiction treatment, and how a treatment plan for such patients can be built.