Current theories suggest individuals with methamphetamine use disorder (iMUDs) have difficulty considering long-term outcomes in decision-making, which could contribute to risk of relapse. Aversive interoceptive states (e.g., stress, withdrawal) are also known to increase this risk. The present study analyzed computational mechanisms of planning in iMUDs, and examined the potential impact of an aversive interoceptive state induction. A group of 40 iMUDs and 49 healthy participants completed two runs of a multi-step planning task, with and without an anxiogenic breathing resistance manipulation. Computational modeling revealed that iMUDs had selective difficulty identifying the best overall plan when this required enduring negative short-term outcomes - a mechanism referred to as aversive pruning. Increases in reported craving before and after the induction also predicted greater aversive pruning in iMUDs. These results highlight aversive pruning deficits as a novel mechanism that could promote poor choice in recovering iMUDs and create vulnerability to relapse.

Elevated anxiety and uncertainty avoidance are known to exacerbate maladaptive choice in individuals with affective disorders. However, the differential roles of state vs. trait anxiety remain unclear, and underlying computational mechanisms have not been thoroughly characterized. In the present study, we investigated how a somatic (interoceptive) state anxiety induction influences learning and decision-making under uncertainty in individuals with clinically significant levels of trait anxiety. A sample of 58 healthy comparisons (HCs) and 61 individuals with affective disorders displaying elevated anxiety symptoms (iADs; i.e., anxiety and/or depression) completed a previously validated explore-exploit decision task, with and without an added breathing resistance manipulation designed to induce state anxiety. Computational modeling revealed a significant group-by-condition interaction, such that information-seeking (i.e., directed exploration) in HCs was reduced by the anxiety induction (Cohen’s d = 0.47, p = 0.013), while no change was observed in iADs. The iADs also showed slower learning rates than HCs across conditions (Cohen’s d = 0.52, p = 0.003), suggesting their uncertainty decreased more slowly over time. These findings highlight a complex interplay between trait anxiety and state anxiety. Specifically, state anxiety may attenuate reflection on uncertainty in healthy individuals, while familiarity with anxious states in those with high trait anxiety may create an insensitivity to this effect.

Methamphetamine use disorder (MUD) is associated with substantially reduced quality of life. Yet, decisions to use persist, due in part to avoidance of anticipated withdrawal states. However, the specific cognitive mechanisms underlying this decision process, and possible modulatory effects of aversive states, remain unclear. Here, 56 individuals with MUD and 58 healthy comparisons (HCs) performed a decision task, both with and without an aversive interoceptive state induction. Computational modeling measured the tendency to test beliefs about uncertain outcomes (directed exploration) and the ability to update beliefs in response to outcomes (learning rates). Compared to HCs, the MUD group exhibited less directed exploration and slower learning rates, but these differences were not affected by the aversive state induction. Follow-up analyses further suggested that reduced exploration in those with MUD was best explained by greater avoidance of uncertainty on the task, and that trait differences in cognitive reflectiveness might account for these differences in task behavior. These results suggest state-independent computational mechanisms whereby individuals with MUD may have difficulties in testing beliefs about the tolerability of abstinence and in adjusting behavior in response to consequences of continued use.

Previous research shows depression and anxiety are negatively correlated with subjective well-being. Additionally, there is evidence psychological resilience positively influences well-being. The present study explored whether the relationship between depression/anxiety and subjective well-being might also be moderated by aspects of psychological resilience - such that depression and anxiety do not reduce well-being to the same extent in individuals high in psychological resilience traits. Participants from an exploratory sample (N = 236, Mage = 23.49) and confirmatory sample (N = 196, Mage = 24.99) completed self-report measures of depression, anxiety, well-being, resilience, and hardiness (i.e., CDRISC and DRS-15). As expected, results showed strong negative correlations between anxiety/depression and both well-being and resilience/hardiness, as well as positive correlations between well-being and resilience/hardiness. A significant interaction was also present between both resilience/hardiness and depression/anxiety in predicting well-being in the first sample. Results partially replicated in the confirmatory sample (i.e., for hardiness but not resilience). These findings add to prior work by highlighting hardiness (as measured by the DRS-15), one aspect of psychological resilience, as an important protective factor in mental health. Namely, results suggest individuals with symptoms of affective disorders may remain capable of living subjectively fulfilling lives if they possess traits of psychological resilience such as hardiness.

Previous work suggests that interoception – the capacity to detect and interpret internal states of the body – may be disrupted in affective disorders. A related body of work suggests that reduced understanding of how interoceptive sensations relate to emotions (alexithymia) is also linked to these disorders. One route by which these deficits could maintain affective symptoms is poor emotion regulation – as perception and regulation of internal states share bidirectional links. However, depression and anxiety symptoms are highly co-morbid, and it remains unclear whether one or both are primarily affected. In this study, we sought to replicate prior results suggesting emotion dysregulation mediates the relationship between interoception/alexithymia and depressive symptoms, and to further determine whether co-morbid anxiety plays an additional, or alternative, explanatory role. Participants in two consecutive, non-clinical samples (Sample 1: N = 445, Mage=23.68; Sample 2: N = 196, Mage=24.99) completed measures of interoception (MAIA), alexithymia (TAS-20), emotion dysregulation (DERS), depression (BDI-II), and anxiety (STAI). Results in both samples confirmed that emotion dysregulation mediated the relationship between interoception and depressive symptoms and found a similar relationship with trait anxiety. When accounting for co-morbidity, anxiety – and not depression – appeared to best explain previous findings for interoception. In contrast, results suggested that depression – and not anxiety – explained prior links to alexithymia. These results may help guide interpretation of prior results when considering the high comorbidity in depression and anxiety symptoms and suggest unique treatment targets for each. Future research should examine these measures in clinical samples and with longitudinal data that can better disentangle the directional nature of these relationships.

Socioemotional skills, such as the ability to recognize, understand, and regulate the emotions of self and others, are associated with both physical and emotional health. The present study tested the effectiveness of a recently validated online training program for increasing these emotional skills in adults. In this study, 448 participants (323 female) were randomly assigned to complete this training program or a placebo control program. Among those who completed the training program or placebo (N = 326), the training program led to improved scores post-training on measures of interoceptive and emotional awareness, mindfulness, emotion recognition, and emotion regulation strategies (e.g., reduced emotion suppression and greater impulse control) relative to placebo. In a smaller group of participants who also completed a 6-month follow-up visit (N = 94), sustained improvements were observed on several measures in those who completed the training program, while the placebo group instead showed decreased performance. This suggested a potentially protective effect against emotional challenges associated with the COVID-19 pandemic occurring during this time. These results suggest that this online training program shows promise in improving emotional skills relevant to adaptive social and emotional functioning, and that it might be useful as an intervention within at-risk populations and those with emotional disorders associated with reduced application of these skills.

Early adversity has been consistently linked to mental health outcomes, but the underlying pathways remain unclear. One previous study found an association between early adversity and trait emotional awareness (EA), which has itself been linked to health outcomes, but links to mental health were not explicitly examined. The aim of the current study was to test the hypothesis that the association between early adversity and health can be partially accounted for by differences in EA within a large student sample (n = 196). Participants completed measures of early adversity, EA, and current emotional functioning (i.e., depression, anxiety, somatization, positive/negative affect). Bayesian analyses found the most evidence for models with an interaction between sex and early adversity in predicting emotional functioning-revealing the expected negative relationship between early adversity and EA in females, but a positive relationship in males. Early adversity, but not EA, was associated with depression, anxiety, and implicit negative affect. Only explicit positive affect was associated with both early adversity and EA, and EA partially mediated the negative association between early adversity and positive affect. These results provide limited support for EA as a mediating pathway for the effects of early adversity on mental health.

Emotional awareness (EA) is thought to facilitate psychological health by aiding emotion regulation in oneself and garnering social support from others. This study tested these potential relationships within a one-year longitudinal study of 460 women (age 23-91 years, mean 56.4 years) recently diagnosed with breast cancer (i.e., within four months). The women completed measures of emotional awareness, social support, social stress, affective symptoms, and well-being. Linear models tested EA as a moderator of social support and stress on affective symptoms and well-being. In those with higher EA, low social support was associated with greater depression and lower optimism. There was some evidence that higher EA predicted greater depression at baseline but lower depression at nine-month follow-up. These results support the idea that EA increases sensitivity to available social support and facilitates emotional adjustment over time, suggesting that assessment of EA could help guide clinicians in identifying those at greatest risk of adverse mental health outcomes in this population.

Prior computational modeling work examining decision-making under uncertainty in a transdiagnostic psychiatric sample identified five parameters that account for variability in learning and decision processes. While previous work has focused on clinical group differences in these parameters, it remains unclear how they relate to dimensional measures at other levels of description.

Anxiety and depression are often associated with strong beliefs that entering specific situations will lead to aversive outcomes - even when these situations are objectively safe and avoiding them reduces well-being. A possible mechanism underlying this maladaptive avoidance behavior is a failure to reflect on: (1) appropriate levels of uncertainty about the situation, and (2) how this uncertainty could be reduced by seeking further information (i.e., exploration). To test this hypothesis, we asked a community sample of 416 individuals to complete measures of reflective cognition, exploration, and symptoms of anxiety and depression. Consistent with our hypotheses, we found significant associations between each of these measures in expected directions (i.e., positive relationships between reflective cognition and strategic information-seeking behavior or "directed exploration", and negative relationships between these measures and anxiety/depression symptoms). Further analyses suggested that the relationship between directed exploration and depression/anxiety was due in part to an ambiguity aversion promoting exploration in conditions where information-seeking was not beneficial (as opposed to only being due to under-exploration when more information would aid future choices). In contrast, reflectiveness was associated with greater exploration in appropriate settings and separately accounted for differences in reaction times, decision noise, and choice accuracy in expected directions. These results shed light on the mechanisms underlying information-seeking behavior and how they may contribute to symptoms of emotional disorders. They also highlight the potential clinical relevance of individual differences in reflectiveness and exploration and should motivate future research on their possible contributions to vulnerability and/or maintenance of affective disorders.

It is unclear at present whether psychopathic tendencies are associated with lower or higher levels of emotional awareness (EA). Given that psychopathy includes a proficiency for manipulating others, one might expect an elevated ability to identify and use information about others' emotions. On the other hand, empathic deficits in psychopathy could arise from reduced emotional awareness. Further, heterogeneity in psychopathy may also play a role, wherein 'secondary' psychopathy is associated with early adversity and high negative affect, while 'primary' psychopathy is not. In this paper, we tested the relationship between EA and psychopathic tendencies in 177 undergraduate students (40 males) who completed the levels of emotional awareness scale (LEAS), the triarchic psychopathy measure (TPM), the affective (empathy-related) subscales of the interpersonal reactivity index (IRI), and two measures of early adversity: the childhood experiences of care and abuse questionnaire (CECA) and the childhood trauma questionnaire (CTQ). We found that lower LEAS scores were associated with higher TPM and lower IRI empathy scores, but these relationships were primarily present in those with early adversity and high negative affect. This suggests that lower EA may be selectively associated with higher levels of secondary psychopathy, while those with higher levels of primary psychopathy remain capable of higher EA.