Child abuse and neglect.

Where and how does the brain code reward during social behaviour? Almost all elements of the brain’s reward circuit are modulated during social behaviour. The striatum in particular is activated by rewards in social situations. However, its role in social behaviour is still poorly understood. Here we attempt to review its participation in social behaviours of different species ranging from voles to humans. Human fMRI experiments show that the striatum is reliably active in relation to others’ rewards, to reward inequity and also while learning about social agents. Social contact and rearing conditions have long-lasting effects on behaviour, striatal anatomy and physiology in rodents and primates. The striatum also plays a critical role in pair-bond formation and maintenance in monogamous voles. We review recent findings from single neuron recordings showing that the striatum contains cells that link own reward to self or others’ actions. These signals might be used to solve the agency-credit assignment problem: the question of whose action was responsible for the reward. Activity in the striatum has been hypothesized to integrate actions with rewards. The picture that emerges from this review is that the striatum is a general-purpose subcortical region capable of integrating social information into coding of social action and reward.

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The role of the striatum in social behavior.

Corticostriatal circuits through the orbitofrontal cortex (OFC) play key roles in complex human behaviours such as evaluation, affect regulation, and reward-based decision-making. Importantly, the medial and lateral OFC circuits have functionally and anatomically distinct connectivity profiles which differentially contribute to the various aspects of goal-directed behaviour. OFC corticostriatal circuits have been consistently implicated across a wide range of psychiatric disorders, including major depressive disorder (MDD), obsessive compulsive disorder (OCD), and substance use disorders (SUDs). Furthermore, psychiatric disorders related to OFC corticostriatal dysfunction can be addressed via conventional and novel neurostimulatory techniques, including deep brain stimulation (DBS), electroconvulsive therapy (ECT), repetitive transcranial stimulation (rTMS), and transcranial direct current stimulation (tDCS). Such techniques elicit changes in OFC corticostriatal activity, resulting in changes in clinical symptomatology. Here we review the available literature regarding how disturbances in medial and lateral OFC corticostriatal functioning lead to psychiatric symptomatology in the aforementioned disorders, and how psychiatric treatments may exert their therapeutic effect by rectifying abnormal OFC corticostriatal activity. First, we review the role of OFC corticostriatal circuits in reward-guided learning, decision-making, affect regulation and reappraisal. Second, we discuss the role of OFC corticostriatal circuit dysfunction across a wide range of psychiatric disorders. Third, we review available evidence that the therapeutic mechanisms of various neuromodulation techniques may directly involve rectifying abnormal activity in medial and lateral OFC corticostriatal circuits. Finally, we examine the potential of future applications of therapeutic brain stimulation targeted at OFC circuitry; specifically, the role of OFC brain stimulation in the growing field of individually-tailored therapies and personalized medicine in psychiatry.

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Cortico-Striatal-Thalamic Loop Circuits of the Orbitofrontal Cortex: Promising Therapeutic Targets in Psychiatric Illness.

For over 35 years, research has examined frontal alpha EEG asymmetry, discussed in terms of relative left frontal activity (rLFA) in the present review, as a concurrent and prospective marker of affective processing and psychopathology. Because rLFA may index (a) neural correlates of frontal asymmetry, or (b) psychological constructs to which frontal asymmetry relates, rLFA can advance our understanding of both neural and psychological models of emotion and psychopathology. In order to improve such understanding, the specific role of rLFA in extending or challenging existing theory must be clear to researchers and readers alike. In particular, in 2004, Coan and Allen argued that examination of rLFA as a mediator or moderator may improve our theoretical understanding of rLFA. Despite being a commonly cited paper in the field, most rLFA research today still fails to acknowledge the statistical role of rLFA in the research. The aim of the present paper is to (a) convince the reader of the importance of distinguishing rLFA as a predictor, outcome, mediator, or moderator in order to conduct theory-driven research, and (b) highlight some of the major advances in rLFA literature since the review by Coan and Allen (2004) in the framework of mediators and moderators. We selected a broad range of search terms to capture relevant rLFA research and included only those studies utilizing established methods for rLFA measurement.

Frontal asymmetry as a mediator and moderator of emotion: An updated review

From ventral-medial to dorsal-lateral striatum: neural correlates of reward-guided decision-making.

A review of selected candidate endophenotypes for depression.

The current article discusses assertiveness training, a once highly popular area of investigation that has been neglected in recent years by the field of psychotherapy. A substantial body of research indicates that assertiveness is a relevant factor associated with a variety of clinical problems, populations, and contexts, and that assertiveness training is a valuable transdiagnostic intervention. Despite its demonstrated importance, research on assertiveness and assertiveness training as a stand-alone treatment within clinical psychology has diminished drastically. We review the history of assertiveness training, revisit early research evidence for assertiveness training in treating various clinical problems, discuss the current status of assertiveness training, consider issues of clinical implementation, and comment on how the variables accounting for unassertiveness map onto the NIMH RDoC funding priorities.

Assertiveness Training: A Forgotten Evidence-Based Treatment

BackgroundIndividual differences in neuroticism, extraversion, and conscientiousness are associated with, and may predict onset of, internalizing disorders. These general traits can be parsed into facets, but there is a surprising paucity of research on facet risk for internalizing disorders. We examined general traits and facets of neuroticism, extraversion, and conscientiousness in predicting first onsets of depressive and anxiety disorders.MethodsA community sample of 550 adolescent females completed general and facet-level personality measures and diagnostic interviews. Interviews were re-administered 18 months later.ResultsFirst onsets of depressive disorders were predicted by neuroticism, extraversion, and conscientiousness. Facets predicting first onset of depression included depressivity (neuroticism facet) and lower positive emotionality and sociability (extraversion facets). First onsets of generalized anxiety disorder (GAD) were predicted by neuroticism, and particularly the facet of anxiousness. First onsets of social phobia were predicted at the facet level by anxiousness. First onsets of specific phobia were predicted by neuroticism, low conscientiousness, and all neuroticism facets. In multivariate analyses, first onsets of depression were uniquely predicted by depressivity, and onsets of GAD and social phobia were uniquely predicted by anxiousness over and above the general trait of neuroticism.ConclusionsGeneral traits predict first onsets of depressive and anxiety disorders. In addition, more specific associations are evident at the facet level. Facets can refine our understanding of the links between personality and psychopathology risk, and provide finer-grained targets for personality-informed interventions.

Trait and facet-level predictors of first-onset depressive and anxiety disorders in a community sample of adolescent girls.

Depressed individuals exhibit memory biases on the self-referent encoding task (SRET), such that those with depression exhibit poorer recall of positive, and enhanced recall of negative, trait adjectives (referred to as positive and negative processing biases) However, it is unclear when SRET biases emerge, whether they are stable, and if biases predict, or are predicted by, depressive symptoms To address this, a community sample of 434 children completed the SRET and a depressive symptoms measure at ages 6 and 9 Negative and positive processing exhibited low, but significant, stability At ages 6 and 9, depressive symptoms correlated with higher negative, and lower positive, SRET processing Importantly, lower positive processing at age 6 predicted increased symptoms at age 9 However, negative processing at age 6 did not predict depressive symptoms at age 9, and depressive symptoms at age 6 did not predict SRET processing scores at age 9 This suggests that less positive processing may reflect vulner

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Stability of self-referent encoding task performance and associations with change in depressive symptoms from early to middle childhood.

The COVID-19 pandemic has had a profound impact on the lives of individuals, families, and communities around the world with constraints on multiple aspects of daily life. The purpose of the present study was to identify specific profiles of pandemic-related experiences and their relation to psychosocial functioning using the 92-item Epidemic-Pandemic Impacts Inventory (EPII). Data were collected as part of a cross-sectional, online survey of adults (18+) residing in the Northeast region of the United States (N = 652) and recruited via online advertisements. Person-centered latent class analysis (LCA) was applied to 38 pandemic-related experiences that showed a significant bivariate correlation with perceived stress. Measures of psychosocial risk were also obtained. Results revealed five unique profiles of respondents based on patterns of pandemic-related experiences. Three profiles representing about 64% of the sample were characterized by moderate to high exposure to adverse experiences during the pandemic and were more likely to screen positive for depression, anxiety, and posttraumatic stress. These profiles were differentiated by sociodemographic differences, including age, caregiving, and employment status. Two profiles differentiated by age and caregiver status represented about 36% of the sample and were characterized by relatively low exposure to adverse experiences and lower risk for psychosocial impairment. Findings support the EPII as an instrument for measuring tangible and meaningful experiences in the context of an unprecedented pandemic disaster. This research may serve to identify high-risk subpopulations toward developing public health strategies for supporting families and communities in the context of public health emergencies such as the COVID-19 pandemic.

Brandon L. Goldstein

Papers

A review of selected candidate endophenotypes for depression.

Assertiveness Training: A Forgotten Evidence-Based Treatment

Trait and facet-level predictors of first-onset depressive and anxiety disorders in a community sample of adolescent girls.

Stability of self-referent encoding task performance and associations with change in depressive symptoms from early to middle childhood.

Profiling COVID-related experiences in the United States with the Epidemic-Pandemic Impacts Inventory: Linkages to psychosocial functioning.