Struggling toward reward: Recent experience of anhedonia interacts with motivation to predict reward pursuit in the face of a stressful manipulation

Trajectories of Anhedonia Symptoms after Traumatic Injury

Anhedonia describes the inability or difficulty of experiencing or seeking pleasure. Previous research has demonstrated a relationship between posttraumatic stress disorder (PTSD) or experiencing trauma and anhedonia symptoms; however, little to no work has been done to understand the evolution of anhedonia symptoms after trauma. We aimed to identify anhedonia trajectories following traumatic injury. One hundred ninety-five participants were recruited from the emergency department of a Level-1 Trauma Center after experiencing a traumatic injury. To measure anhedonia symptoms, participants completed the Snaith-Hamilton Pleasure Scale (SHAPS) at 2-weeks, 3-months, and 6-months post-injury. Using latent class mixture modeling, we ran a trajectory analysis with three timepoints of SHAPS scores and compared mental and physical health outcomes across trajectories. Most of the sample fell in the resilient trajectory (85%), while the remainder were in a remitting trajectory (7%) where symptoms decreased over time, and a delayed (6%) trajectory where symptoms did not emerge until 3-months after injury. In the resilient trajectory, there was consistently low levels of PTSD, pain, depression, and anxiety relative to the other trajectories. In the delayed trajectory, depression and PTSD were chronically elevated and pain levels were consistent but mild. In the remitting trajectory, PTSD and depression symptoms decreased over time. Identified anhedonia trajectories mirrored trajectories commonly reported for PTSD symptoms after injury. Evaluating anhedonia trajectories and how they relate to mental health outcomes may inform targeted interventions for traumatic injury patients.

Are effort-based decision-making tasks worth the effort?-A study on the associations between effort-based decision-making tasks and self-report measures

OBJECTIVES

Amotivation is a common symptom in various mental disorders, including psychotic or depressive disorders. Effort-based decision-making (EBDM)-tasks quantifying amotivation at a behavioral level have been on the rise. Task performance has been shown to differentiate patient groups from healthy controls. However, findings on indicators of construct validity, such as the correlations between different tasks and between tasks and self-reported/observer-rated amotivation in clinical and healthy samples have been inconclusive.

METHODS

In a representative community sample (N = 90), we tested the construct validity of the Deck Choice Task, the Expenditure for Rewards Task and the Balloon Task. We calculated correlations between the EBDM-tasks and between the EBDM-tasks and self-reported amotivation, apathy, anticipatory pleasure, and BIS/BAS.

RESULTS

Correlations between tasks were low to moderate (0.198 ≤ r ≤ 0.358), with the Balloon Task showing the largest correlations with the other tasks, but no significant correlations between any EBDM-task and the self-report measures.

CONCLUSION

Although different EBDM-tasks are conceptualized to measure the same construct, a large part of what each task measures could not be accounted for by the other tasks. Moreover, the tasks did not appear to substantially capture what was measured in established self-report instruments for amotivation in our sample, which could be interpreted as questioning the construct validity of EBDM-tasks.

A Network Analysis of the Association Between Depressive Symptoms and Patient Activation Among Those With Elevated Cardiovascular Risk

Background

Network analysis provides a new method for conceptualizing interconnections among psychological and behavioral constructs.

Objective

We used network analysis to investigate the complex associations between depressive symptoms and patient activation dimensions among patients at elevated risk of cardiovascular disease.

Methods

This secondary analysis included 200 patients seen in primary care clinics. Depressive symptoms were assessed using the 21-item Beck Depression Inventory. Patient activation was measured using the 13-item Patient Activation Measure. Glasso networks were constructed to identify symptoms/traits that bridge depressive symptoms and patient activation and those that are central within the network.

Results

"Self-dislike" and "confidence to maintain lifestyle changes during times of stress" were identified as important bridge pathways. In addition, depressive symptoms such as "punishment feelings," "loss of satisfaction," "self-dislike," and "loss of interest in people" were central in the depressive symptom-patient activation network, meaning that they were most strongly connected to all other symptoms.

Conclusions

Bridge pathways identified in the network may be reasonable targets for clinical intervention aimed at disrupting the association between depressive symptoms and patient activation. Further research is warranted to assess whether targeting interventions to these central symptoms may help resolve other symptoms within the network.

Developmental Trajectories of Anhedonia in Preclinical Models

This chapter discusses how the complex concept of anhedonia can be operationalized and studied in preclinical models. It provides information about the development of anhedonia in the context of early-life adversity, and the power of preclinical models to tease out the diverse molecular, epigenetic, and network mechanisms that are responsible for anhedonia-like behaviors.Specifically, we first discuss the term anhedonia, reviewing the conceptual components underlying reward-related behaviors and distinguish anhedonia pertaining to deficits in motivational versus consummatory behaviors. We then describe the repertoire of experimental approaches employed to study anhedonia-like behaviors in preclinical models, and the progressive refinement over the past decade of both experimental instruments (e.g., chemogenetics, optogenetics) and conceptual constructs (salience, valence, conflict). We follow with an overview of the state of current knowledge of brain circuits, nodes, and projections that execute distinct aspects of hedonic-like behaviors, as well as neurotransmitters, modulators, and receptors involved in the generation of anhedonia-like behaviors. Finally, we discuss the special case of anhedonia that arises following early-life adversity as an eloquent example enabling the study of causality, mechanisms, and sex dependence of anhedonia.Together, this chapter highlights the power, potential, and limitations of using preclinical models to advance our understanding of the origin and mechanisms of anhedonia and to discover potential targets for its prevention and mitigation.

Anhedonia and the Relationship Between Other Depressive Symptoms and Aggressive Behavior

Depression has been linked to multiple forms of aggressive behavior in college students; however, it is unclear which aspects of depression explain this connection. Anhedonia, defined as the loss of interest and/or pleasure in previously enjoyed activities, may provide unique information about relationships between depression and aggression. Using cross-sectional data from two independent samples of college students (N = 747 and N = 736 for Study 1 and Study 2, respectively), we examined whether anhedonia helped explain the relationship between broader depressive symptoms and different forms of aggressive and antisocial behavior. Anhedonia accounted for variance in both self-directed aggression and antisocial behavior independent of gender, hostility, anger, other depressive symptoms, and cognitive distortions (Study 2). In addition, there were significant indirect effects of depressive symptoms on self-directed aggression (Studies 1 and 2) and antisocial behavior (Study 2) via anhedonia. Hypotheses involving other-directed aggression received mixed support, with anhedonia atemporally associated with other-directed aggression independent of broader depressive symptoms in Study 1, but not in Study 2. The current findings suggest that anhedonia is an important individual difference that helps explain the relationship between depression and aggressive and antisocial acts and that anhedonia may be differentially associated with various types of aggressive and antisocial behavior.

Informing the Sustainable Pursuit of Happiness

Although most people want to be happy, the pursuit of happiness involves an overwhelming number of choices and great uncertainty about the consequences. Many of these choices have significant implications for sustainability, which are rarely considered. Here, we present an optimality model that maximizes subjective happiness, which can eventually account for sustainability outcomes. Our model identifies the optimal use of time or energy to maximize happiness. Such models tell people how to invest in domains of happiness (e.g., work vs. leisure) and how to choose activities within domains (e.g., playing a computer game vs. playing a board game). We illustrate this optimization approach with data from an online survey, in which people (n = 87) either recalled or imagined their happiness during common activities. People reported decelerating happiness over time, but the rate of deceleration differed among activities. On average, people imagined spending more time on each activity than would be needed to maximize happiness, suggesting that an optimality model has value for guiding decisions. We then discuss how such models can address sustainability challenges associated with overinvesting (e.g., excessive CO2 emissions). To optimize happiness and explore its implications for sustainability over long periods, models can incorporate psychological processes that alter the potential for happiness and demographic processes that make lifespan uncertain. In cases where less objective approaches have failed, a quantitative theory may improve opportunities for happiness, while meeting sustainability outcomes.

Depression and self-care in older adults with multiple chronic conditions: A multivariate analysis

AIMS

To investigate the relationship between depression and self-care behaviours in older individuals with multimorbidity.

DESIGN

Cross-sectional study. Data were collected between April 2017 - June 2019.

METHODS

Patients were enrolled from community and outpatient settings and included if they were ≥65 years, affected by heart failure, diabetes mellitus or chronic obstructive pulmonary disease and at least another chronic condition. They were excluded if they had dementia and/or cancer. Patient Health Questionnaire-9 was used to measure depression and Self-Care of Chronic Illness Inventory was used to measure self-care maintenance, monitoring, and management. The relationship between depression and self-care was evaluated by performing two sets of univariate analyses, followed by multivariate and step-down analyses. The second set was performed to control for the number of chronic conditions, age, and cognitive function.

RESULTS

The sample (N = 366) was mostly female (54.2%), with a mean age of 76.4 years. Most participants (65.6%) had mild to very severe depressive symptoms. Preliminary analysis indicated a significant negative association between depression and self-care maintenance and monitoring and a significant negative association between depression and multivariate self-care. Step-down analysis showed that self-care maintenance was the only dimension negatively associated with depression, even after controlling for the number of chronic conditions, age, and cognitive function.

CONCLUSION

In multimorbid populations, depression is more likely to be associated with self-care maintenance than the other self-care dimensions. Therefore, self-care maintenance behaviours (e.g., physical activity and medication adherence) should be prioritized in assessment and focused on when developing interventions targeting depressed older adults with multimorbidity.

IMPACT

The results of this study may help guide clinical practice. In patients with depressive symptoms, self-care maintenance behaviours should be assessed first, as a potential first indicator of poor self-care.

Affective biases and their interaction with other reward-related deficits in rodent models of psychiatric disorders

Major depressive disorder (MDD) is one of the leading global causes of disability. Symptoms of MDD can vary person to person, and current treatments often fail to alleviate the poor quality of life that patients experience. One of the two core diagnostic criteria for MDD is the loss of interest in previously pleasurable activities, which suggests a link between the disease aetiology and reward processing. Cognitive impairments are also common in patients with MDD, and more recently, emotional processing deficits known as affective biases have been recognised as a key feature of the disorder. Studies in animals have found similar affective biases related to reward. In this review we consider these affective biases in the context of other reward-related deficits and examine how affective biases associated with learning and memory may interact with the wider behavioural symptoms seen in MDD. We discuss recent developments in how analogues of affective biases and other aspects of reward processing can be assessed in rodents, as well as how these behaviours are influenced in models of MDD. We subsequently discuss evidence for the neurobiological mechanisms contributing to one or more reward-related deficits in preclinical models of MDD, identified using these behavioural assays. We consider how the relationships between these selective behavioural assays and the neurobiological mechanisms for affective bias and reward processing could be used to identify potential treatment strategies.

Conceptualizing anhedonias and implications for depression treatments

Anhedonia has been implicated as a core symptom of depression and schizophrenia, and studying anhedonia has yielded a wide array of important findings aiding the understanding and identification of psychological disorders. However, anhedonia is a complex and multifaceted construct; indeed, the term anhedonia has been defined in psychological and psychiatric research as many different concepts, a number of which are theoretically and methodologically independent of one another. In this review alone, we discuss research that separates social aspects of anhedonia from the physical contexts of anhedonia, with the former emphasizing interpersonal relationships as important to anhedonic symptoms, and the latter emphasizing biological and brain-related impairment as potential causes of chronic anhedonia states. We highlight research that distinguishes between interest in (wanting) or experience of (liking) potential pleasure as definitions of anhedonia and also disambiguate methodologically and theoretically distinct ways of assessing 1) trait-level dispositional tendencies, 2) state-level cross-sectional assessments, and 3) symptom-based recent changes from baseline, all of which have been used to indicate anhedonia. Lastly, we describe cutting-edge translations of basic anhedonia research into treatment and discuss how different conceptualizations of anhedonia, guided by recent theoretical and methodological advances, have begun to usher in a science of anhedonia that is consistent with increasingly personalized assessment and treatment. We conclude with a note for future research, emphasizing that continued application of theoretically based operationalizations of anhedonia and sound design are paramount to continue the recent progress toward meaningful and specific use of the anhedonia construct in clinical research.

Predicting Predischarge Anhedonia Among Inpatients With Schizophrenia and Schizoaffective Disorders: A Large-scale Analysis

This study sought to evaluate predischarge anhedonia level and its predictors in 125 inpatients with schizophrenia and schizoaffective disorders. Consecutively admitted inpatients were assessed before discharge from the hospital using the Specific Loss of Interest and Pleasure Scale (SLIPS) and a battery of measures for clinical and psychosocial variables. When symptoms, distress, and social anhedonia scores were controlled, the SLIPS score inversely correlated with self-constructs, social support, quality of life, recovery, and unmet needs. Using two cutoff points of the data set of SLIPS, we identified three groups: 19 (15.2%) patients reported "no loss of pleasure"; 46 (36.8%), "some loss of pleasure"; and 60 (48.0%), "marked diminishment of pleasure." The SLIPS score is predicted by sensitivity, unmet needs, deficient interpersonal pleasure, poor quality of life, and friend support. The study underlines the importance of assessing anhedonia and related psychosocial factors in patients with serious mental illness.

Examining components of emotion regulation in relation to sleep problems and suicide risk

BACKGROUND

Sleep has emerged as an important factor in elevated risk for suicide and suicidal behaviors; however, the mechanisms accounting for this relationship are poorly understood. Emotion regulation is a well-established correlate of self-injurious behaviors; however, the broad construct has recently been shown to provide limited predictive utility. More nuanced investigations into the processes involved in emotion regulation may address this gap. This study sought to examine the mediating role of emotion regulation between sleep disturbances and suicide risk, as well as to evaluate a moderated mediation model in which down- and up-regulation of emotions would moderate this mediation.

METHODS

Participants were 972 adults recruited from a crowdsourcing website (Amazon's Mechanical Turk) who completed self-report questionnaires regarding nightmares, suicide risk, and emotion regulation.

RESULTS

Emotion regulation mediated the direct effect of nightmares on suicide risk and suicide attempts. Downregulation of negative affect moderated the mediation of nightmares on suicide risk more clearly than upregulation of positive affect, and neither component of emotion regulation exhibited moderated mediation in the suicide attempt model.

LIMITATIONS

Generalizability of our findings from an online community sample will need to be established with replication in other samples. Additionally, we used cross-sectional measures in our mediation models.

CONCLUSIONS

Downregulation of negative emotions may be particularly salient in relation to the severity of suicide risk and, as a result, relative deficits in this area should be considered when making risk determinations.