Individuals with Panic Disorder (PD) often have impaired insight, which can impede their willingness to seek treatment. Cognitive processes, including metacognitive beliefs, cognitive flexibility, and jumping to conclusions (JTC) may influence the degree of insight. By understanding the relationship between insight and these cognitive factors in PD, we can better identify individuals with such vulnerabilities to improve their insight. The aim of this study is to examine the relationships between metacognition, cognitive flexibility, and JTC with clinical and cognitive insight at pretreatment. We investigate the association among those factors’ changes and changes in insight over treatment. Eighty-three patients diagnosed with PD received internet-based cognitive behavior therapy. Analyses revealed that metacognition was related to both clinical and cognitive insight, and cognitive flexibility was related to clinical insight at pre-treatment. Greater changes in metacognition were correlated with greater changes in clinical insight. Also, greater changes in cognitive flexibility were related to greater changes in cognitive insight. The current study extends previous studies suggesting potential relationships among insight, metacognition, and cognitive flexibility in PD. Determining the role of cognitive concepts in relation to insight may lead to new avenues for improving insight and can have implications for engagement and treatment-seeking behaviors.

Background and objectives

Rumination involves fixating on negative content, is associated with biases in inhibitory control, and typically worsens negative mood. In contrast, distraction attempts to engage attentional control and downregulate negative mood. To date studies have not dissociated the detrimental effects of rumination from beneficial effects of distraction on individuals’ ability to inhibit irrelevant negative information. Moreover, research has not examined the possible pathways connecting rumination and distraction, negative mood and inhibitory control.

Methods

To bridge these gaps, we report two studies that assess the effect of induced rumination versus distraction on inhibitory control among high ruminators.

Results

In Study 1 distraction improved inhibition of negative content, whereas induced rumination impaired inhibition of negative content. Study 2 replicated Study 1 and demonstrated that the effect of distraction on inhibition of negative content was mediated by changes in negative mood.

Limitations

Our studies are limited by small sample sizes and lack of measurement of possible long-term effects.

Conclusions

Our findings provide preliminary evidence for an effect of mood on inhibition and not vice versa, among high ruminators. We discuss theoretical and clinical implications of these findings.

Objective:

This study examined the contribution of the temporal dynamics of two cognitive control mechanisms—inhibitory control (IC) and working memory (WM)—to emotion dysregulation (ED) in attention-deficit/hyperactivity disorder (ADHD) in ecological settings.

Method:

One hundred twenty-two participants (age 18–33 years; 60 with ADHD) reported their ED at baseline, followed by a 5-day ecological momentary assessment (EMA) study, with short behavioral IC and WM tasks performed five times/day.

Results:

For IC, mean and lability of performance over EMA significantly accounted for differences in ED but not baseline performance. For WM, both baseline and mean of EMA, but not EMA lability, accounted for ED variance. ADHD status further contributed to the explained variance of ED.

Conclusions:

Our results support the contribution of dynamic IC processes to ED in ADHD, in addition to WM performance level, and highlight the importance of dynamic and ecological investigation of different cognitive control components.

Background

Bipolar disorder (BD) is associated with marked functional impairments along with increased rate of suicide. Although there is ample evidence for the involvement of inflammatory processes and microglia activation in the pathophysiology of BD, the mechanisms that regulate these cells in BD patients, and particularly the role of microglia checkpoints, is still unclear.

Methods

Immunohistochemical analyses of hippocampal sections from post-mortem brains of 15 BD patients and 12 control subjects were used to assess microglia density, by staining the microglia-specific receptor P2RY12, and microglia activation, by staining the activation marker MHC II. Given recent findings on the involvement of LAG3, which interacts with MHC II and serves as a negative microglia checkpoint, in depression and electroconvulsive therapy, we assessed the levels of LAG3 expression and their correlations with microglia density and activation.

Results

There were no overall differences between BD patients and controls, but BD patients who committed suicide (N = 9) displayed a significant elevation in the overall microglia density and the density of MHC II-labeled microglia (but not other MHC II-labeled cells), compared with no suicide BD patients (N = 6) and controls. Furthermore, the percent of microglia expressing LAG3 was significantly reduced only in suicidal BD patients, with significant negative correlations between microglial LAG3 expression levels and the density of microglia, in general, and activated microglia, in particular.

Conclusion

Suicidal BD patients exhibit microglia activation, which is possibly mediated by reduced LAG3 checkpoint expression, suggesting that anti-microglial therapeutics, including LAG3 modulators, may be beneficial for this subgroup of patients.

Altruistic giving is investigated using the Andreoni–Miller (2002) dictator game with 3778 participants in three populations — Chinese from Beijing and Singapore and Jews from Israel. We replicate the Andreoni–Vesterlund (2001) finding that women are more equality-focused than men. Additionally, participants from China are more generous than those from Singapore or Israel.

Mood and anxiety disorders involve recurring, maladaptive patterns of distinct emotions and moods. Here, we argue that understanding these maladaptive patterns first requires understanding how emotions and moods guide adaptive behavior. We thus review recent progress in computational accounts of emotion that aims to explain the adaptive role of distinct emotions and mood. We then highlight how this emerging approach could be used to explain maladaptive emotions in various psychopathologies. In particular, we identify three computational factors that may be responsible for excessive emotions and moods of different types: self-intensifying affective biases, misestimations of predictability, and misestimations of controllability. Finally, we outline how the psychopathological roles of these factors can be tested, and how they may be used to improve psychotherapeutic and psychopharmacological interventions.

In contrast to perceptual tasks, which enable concurrent processing of many stimuli, working memory (WM) tasks have a very small capacity, limiting cognitive skills. Training on WM tasks often yields substantial improvement, suggesting that training might increase the general WM capacity. To understand the underlying processes, we trained a test group with a newly designed tone manipulation WM task and a control group with a challenging perceptual task of pitch pattern discrimination. Functional magnetic resonance imaging (fMRI) scans confirmed that pretraining, manipulation was associated with a dorsal fronto-parietal WM network, while pitch comparison was associated with activation of ventral auditory regions. Training induced improvement in each group, which was limited to the trained task. Analyzing the behavior of the group trained with tone manipulation revealed that participants learned to replace active manipulation with a perceptual verification of the position of a single salient tone in the sequence presented as a tentative reply. Posttraining fMRI scans revealed modifications in ventral activation of both groups. Successful WMtrained participants learned to utilize auditory regions for the trained task. These observations suggest that the huge task-specific enhancement of WM capacity stems from a task-specific switch to perceptual routines, implemented in perceptual regions.

Social scientists have increasingly applied insights from descriptive research to develop psychological interventions aimed at improving intergroup relations. These interventions have achieved marked success in lab and field studies—reducing prejudicial attitudes and affective polarization, fostering support for conciliatory social policies, and promoting peace-building behaviors. At the same time, intergroup conflict continues to rage in part because individuals often lack motivation to engage with these promising interventions. So far, much time and effort has been devoted to designing effective intervention content that produces psychological change, but less attention has been paid to this “motivational challenge.” We take a step toward addressing this imbalance by developing a conceptual framework of methods by which social scientists can deliver the core content of their intergroup interventions to an unmotivated target audience. Along with (a) directly motivating targets by getting them on board with the intervention’s ultimate aim, researchers can deliver the core intervention content by (b) tapping into other psychological motivations of the target audience, (c) embedding the core content in other attractive features of the intervention unrelated to the conflict, or (d) bypass motivational barriers entirely by delivering the intervention outside of targets’ conscious awareness. We define each method and use illustrative examples to organize them into a conceptual framework, before concluding with implications and future directions.

Objective: Intrusive thoughts are characterized by a sense of intrusiveness of foreign entry into cognition. While not always consisting of negative content, intrusive thoughts are almost solely investigated in that context. Involuntary Musical Imagery (INMI) offers a promising alternative, as it is a type of involuntary cognition that can be used to evaluate intrusiveness without negative content. Methos: In Study 1, 200 participants completed self-report questionnaires to assess several aspects of intrusiveness: meta-awareness, control, repetitiveness, frequency, and subjective experience of INMI. In Study 2, 203 participants completed self-report questionnaires to explore the clinical characteristics (depression, stress, anxiety, and rumination) which might mediate the connection between INMI frequency and INMI negative experience. Results: Study 1 revealed, through exploratory factor analysis, that intrusiveness shares variance with the negative experience of INMI but not with INMI frequency. In study 2, ruminative thinking was found to mediate the relationship between frequent INMI and negative experience of INMI. Conclusion: These results suggest that INMI might be used to investigate intrusiveness in the lab without the potential confound of negative emotions. In addition, the results suggest that neither the content nor the frequency of intrusive thoughts can solely explain why these thoughts are aversive to some but not others. Ruminative style might be the missing link to explain how and why these intrusive thoughts become aversive and obsessive. In other words, we suggest that the cause for intrusiveness lies not in the thought or repetitiveness, but in the thinker.

A central goal of computational psychiatry is to identify systematic relations between transdiagnostic dimensions of psychiatric symptomatology and the latent learning and decision-making computations that inform individuals' thoughts, feelings, and choices. The vast majority of psychiatric disorders emerge prior to adulthood, yet little work has extended these computational approaches to study the development of psychopathology. Here, we lay out a roadmap for future studies implementing this approach by developing empirically and theoretically informed hypotheses about how developmental changes in model-based control of action and Pavlovian learning processes may modulate vulnerability to anxiety and addiction. We highlight how insights from studies leveraging computational approaches to characterize the normative developmental trajectories of clinically relevant learning and decision-making processes may suggest promising avenues for future developmental computational psychiatry research.