Subjective valuation and asymmetrical motivational systems: implications of scope insensitivity for decision making

Studies using the Iowa Gambling Task have revealed individual differences in performance on the task. In this study, we tested the hypothesis that approach and avoidance motivations influence decision making through the process of subjective valuation. We examined the implications of a high sensitivity to gains or losses from two perspectives which we labeled scalar multiplication and valuation by feeling. Using two versions of the Iowa Gambling Task, we find evidence supporting the view that asymmetry in the systems regulating approach and avoidance leads to systematic biases that translate to differences in performance. Specifically, we find that high sensitivity in the Behavioral Activation System (BAS) translates to valuation by feeling and insensitivity to scope in the domain of gains, while high sensitivity in the Behavioral Inhibition System (BIS) translates to valuation by feeling and insensitivity to scope in the domain of losses. The basis for these findings is discussed. Copyright © 2007 John Wiley & Sons, Ltd.     

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 individual's 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.     

Learning and memory deficits in mice lacking protease activated receptor-1

The roles of serine proteases and protease activated receptors have been extensively studied in coagulation, wound healing, inflammation, and neurodegeneration. More recently, serine proteases have been suggested to influence synaptic plasticity. In this context, we examined the role of protease activated receptor 1 (PAR1), which is activated following proteolytic cleavage by thrombin and plasmin, in emotionally motivated learning. We were particularly interested in PAR1 because its activation enhances the function of NMDA receptors, which are required for some forms of synaptic plasticity. We examined several baseline behavioral measures, including locomotor activity, expression of anxiety-like behavior, motor task acquisition, nociceptive responses, and startle responses in C57Bl/6 mice in which the PAR1 receptor has been genetically deleted. In addition, we evaluated learning and memory in these mice using two memory tasks, passive avoidance and cued fear-conditioning. Whereas locomotion, pain response, startle, and measures of baseline anxiety were largely unaffected by PAR1 removal, PAR1-/- animals showed significant deficits in a passive avoidance task and in cued fear conditioning. These data suggest that PAR1 may play an important role in emotionally motivated learning.     

Pilot Mindfulness Intervention for Children Born with Esophageal Atresia and Their Parents

A pilot mindfulness home intervention was conducted for 6 weeks among 8–12-year-old children born with esophageal atresia and their parents. Participants were randomly assigned to a waiting list control (WLC) group (n?=?8) and an experimental group (n?=?12). When all participants had completed the mindfulness-based program, data were pooled and treated for the entire sample (n?=?19). Self-assessment measures included the Mindful Attention Awareness Scale for Adolescents (MAAS-A), the Child and Adolescent Mindfulness Measure (CAMM), the modified Spielberger State-Trait Anxiety Inventory—Child (STAI-C), the Children’s Depression Inventory (CDI), and the Cognitive Emotion Regulation Questionnaire Kids version (CERQ-k). Parental assessment measures included the modified STAI-C. The results underlined the program’s feasibility and acceptability. Clinical effects of the mindfulness-based program were observed. Self-assessed data for children who had practiced mindfulness compared to the WLC group showed increased mindfulness and decreased depression. Reduced anxiety was found in all groups. Positive affect tended to improve from pre-test to post-test in children who had practiced mindfulness compared to the WLC group. Parental assessments showed significant improvement in positive affect and decreases in anxiety and negative affect in the intervention group compared to the WLC group. Cognitive emotion regulation strategies were also affected by the mindfulness-based program. Rumination scores significantly decreased from pre-test to post-test in the intervention group. This preliminary study suggests that regular mindfulness practice presents a promising approach to reducing the burden of this neonatal malformation.     

The Oldest Typology of Argumentation Schemes

The Rhetoric to Alexander (about 340 B.C.) contains a list of proofs (pisteis) and other types of argumentation which may be seen as the oldest surviving typology of argumentation schemes (avant la lettre). In the present article this typology is derived and compared with modern proposals. The conclusion is that the oldest typology is surprisingly similar to the most recent classifications.     

Know thyself: Metacognitive networks and measures of consciousness

Subjective measures of awareness rest on the assumption that conscious knowledge is knowledge that participants know they possess. Post-Decision Wagering (PDW), recently proposed as a new measure of awareness, requires participants to place a high or a low wager on their decisions. Whereas advantageous wagering indicates awareness of the knowledge on which the decisions are based, cases in which participants fail to optimize their wagers suggest performance without awareness. Here, we hypothesize that wagering and other subjective measures of awareness reflect metacognitive capacities subtended by self-developed metarepresentations that inform an agent about its own internal states. To support this idea, we present three simulations in which neural networks learn to wager on their own responses. The simulations illustrate essential properties that are required for such metarepresentations to influence PDW as a measure of awareness. Results demonstrate a good fit to human data. We discuss the implications of this modeling work for our understanding of consciousness and its measures.     

Sequential learning models for the Wisconsin card sort task: Assessing processes in substance dependent individuals

The Wisconsin card sort task (WCST) is a commonly used neuropsychological test of executive or frontal lobe functioning. Traditional behavioral measures from the task (e.g., perseverative errors) distinguish healthy controls from clinical populations, but such measures can be difficult to interpret. In an attempt to supplement traditional measures, we developed and tested a family of sequential learning models that allowed for estimation of processes at the individual subject level in the WCST. Testing the model with substance dependent individuals and healthy controls, the model parameters significantly predicted group membership, even when controlling for traditional behavioral measures from the task. Substance dependence was associated with (a) slower attention shifting following punished trials and (b) reduced decision consistency. Results suggest that model parameters may offer both incremental content validity and incremental predictive validity.     

An Internet-Based Compassion-Focused Intervention for Increased Self-Criticism: A Randomized Controlled Trial

Increased levels of self-criticism and a lack of self-compassion have been associated with the development and maintenance of a range of psychological disorders. In the current study, we tested the efficacy of an online version of a compassion-focused intervention, mindfulness-based compassionate living (MBCL), with guidance on request. A total of 122 self-referred participants with increased levels of self-criticism were randomly assigned to care as usual (CAU) or the intervention group (CAU + online intervention). Primary endpoints were self-reported depressive, anxiety and distress symptoms (DASS-21) and self-compassion (SCS) at 8 weeks. Secondary endpoints were self-criticism, mindfulness, satisfaction with life, fear of self-compassion, self-esteem, and existential shame. At posttreatment, the intervention group showed significant changes with medium to large effect sizes compared to the control group regarding primary outcomes (Cohen’s d: 0.79 [DASS] and -1.21 [SCS]) and secondary outcomes (Cohen’s ds: between 0.40 and 0.94 in favor of the intervention group). The effects in the intervention group were maintained at 6-months postrandomization. Adherence measures (number of completed modules, self-reported number of completed exercises per week) predicted postintervention scores for self-compassion but not for depressive, anxiety, and distress symptoms in the intervention group. The current study shows the efficacy of an online intervention with a transdiagnostic intervention target on a broad range of measures, including depressive and anxiety symptoms and self-compassion.