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The COVID-19 pandemic has had a profound impact on the global economy, physical health, and mental health. This pandemic, like previous viral outbreaks, has resulted in spikes in anxiety, depression, and stress. Even though millions of individuals face the physical health consequences of infection by COVID-19, even more individuals are confronted with the mental health consequences of this pandemic. This significantly increased demand for mental health services cannot be easily met by existing mental health systems, which often rely on courses of therapy to be delivered over months. Single session interventions (SSIs) may be one important approach to meeting this increased demand, as they are treatments designed to be delivered over the course of a single meeting. SSIs have been found to be effective for a range of mental health challenges, with durable effects lasting months to years later. Here, we describe an SSI designed for the COVID-19 pandemic. This Brief Assessment-informed Skills Intervention for COVID-19 (BASIC) program draws upon therapeutic skills from existing empirically supported treatments to target common presenting complaints due to this pandemic. We discuss the process of developing and implementing this intervention, as well as explore feasibility and initial clinical insights. In short, BASIC is an easy-to-adopt intervention that is designed to be effective in a single session, making it well-suited for handling the increased demand for mental health services due to COVID-19.

OBJECTIVE: Attention bias modification training (ABMT) is purported to reduce depression by targeting and modifying an attentional bias for sadness-related stimuli. However, few tests of this hypothesis have been completed. METHOD: The current study examined whether change in attentional bias mediated a previously reported association between ABMT condition (active ABMT, sham ABMT, assessments only; N = 145) and depression symptom change among depressed adults. The pre-registered, primary measure of attention bias was a discretized eye tracking metric that quantified the proportion of trials where gaze time was greater for sad stimuli than neutral stimuli. RESULTS: Contemporaneous longitudinal simplex mediation indicated that change in attentional bias early in treatment partially mediated the effect of ABMT on depression symptoms. Specificity analyses indicated that in contrast to the eye-tracking mediator, reaction time assessments of attentional bias for sad stimuli (mean bias and trial level variability) and lapses in sustained attention did not mediate the association between ABMT and depression change. Results also suggested that mediation effects were limited to a degree by suboptimal measurement of attentional bias for sad stimuli. CONCLUSION: When effective, ABMT may improve depression in part by reducing an attentional bias for sad stimuli, particularly early on during ABMT. PUBLIC HEALTH STATEMENT: Prior work has shown that ABMT reduces depression but it is unclear why this is so. The current study confirms that ABMT works by reducing a tendency to focus attention on negative information, which in turn reduces symptoms of depression.

Background Poor attentional control, defined as difficulty focusing attention on a task or shifting attention flexibly between tasks, is a transdiagnostic construct theorized to confer risk for, and maintain, depression and anxiety. Research to date in non-clinical samples has suggested a dissociable relationship between the two factors of self-reported attentional control and psychopathology, with depression being associated with difficulties shifting and anxiety being associated with focusing. However, to our knowledge no study has tested this differential set of relationships in a clinical sample. Methods Adults (N = 493) presenting for psychiatric treatment completed measures of depressive and anxiety symptom severity and self-reported attentional control. Hierarchical linear regression and Zou's (2007) confidence interval method were used to examine the relationship between clinical symptoms and attentional control. Results Both shifting and focusing were significantly correlated with anxiety and depressive symptoms in this sample. However, focusing was more strongly associated with clinical symptomatology than shifting, which showed a weak correlation. Limitations All constructs were measured cross-sectionally by self-report questionnaires. Conclusions In contrast to studies conducted in non-clinical samples, attentional focusing appears to be more relevant than attentional shifting in a clinical sample for both depression and anxiety symptoms. These findings lend support to efforts to develop neurocognitive interventions that improve focusing. Replication of these findings, particularly in longitudinal studies, is warranted.

Theoretical models and empirical research point to negatively biased attention as a maintaining factor in depression. Although preliminary studies suggest experimentally modifying attentional biases (i.e., attentional bias modification; ABM) reduces depression symptoms and depression risk, relatively few rigorous studies with clinical samples have been completed. This clinical trial examines the impact of ABM on a sample of adults (N = 123) with elevated depression severity who also exhibit at least modest levels of negatively biased attention prior to treatment. Participants will be randomly assigned to either active ABM, placebo ABM, or an assessment-only control condition. Individuals assigned to ABM will complete 5 trainings per week (2 in-clinic, 3 brief trainings at-home) during a four-week period. Throughout this four-week period, participants will complete weekly assessments of symptom severity and putative treatment mediators measured across different levels of analysis (e.g., eye tracking, behavioral measures, and functional Magnetic Resonance Imaging). This article details the rationale and design of the clinical trial, including methodological issues that required more extensive consideration. Our findings may not only point to an easily-accessible, efficacious treatment for depression but may also provide a meaningful test of whether a theoretically important construct, negatively biased attention, maintains depression.

BackgroundThis study examined the efficacy of attention bias modification training (ABMT) for the treatment of depression.MethodsIn this randomized clinical trial, 145 adults (77% female, 62% white) with at least moderate depression severity [i.e. self-reported Quick Inventory of Depressive Symptomatology (QIDS-SR) ⩾13] and a negative attention bias were randomized to active ABMT, sham ABMT, or assessments only. The training consisted of two in-clinic and three (brief) at-home ABMT sessions per week for 4 weeks (2224 training trials total). The pre-registered primary outcome was change in QIDS-SR. Secondary outcomes were the 17-item Hamilton Depression Rating Scale (HRSD) and anhedonic depression and anxious arousal from the Mood and Anxiety Symptom Questionnaire (MASQ). Primary and secondary outcomes were administered at baseline and four weekly assessments during ABMT.ResultsIntent-to-treat analyses indicated that, relative to assessment-only, active ABMT significantly reduced QIDS-SR and HRSD scores by an additional 0.62 ± 0.23 (p = 0.008, d = −0.57) and 0.74 ± 0.31 (p = 0.021, d = −0.49) points per week. Similar results were observed for active v. sham ABMT: a greater symptom reduction of 0.44 ± 0.24 QIDS-SR (p = 0.067, d = −0.41) and 0.69 ± 0.32 HRSD (p = 0.033, d = −0.42) points per week. Sham ABMT did not significantly differ from the assessment-only condition. No significant differences were observed for the MASQ scales.ConclusionDepressed individuals with at least modest negative attentional bias benefitted from active ABMT.

Positive aspects of self-compassion (i.e., self-kindness and nonjudgmental acceptance of personal experiences) as well as negative aspects (i.e., high self-criticism and self-coldness) are strong predictors of anxiety, depression, worry, and quality of life. To date, however, relatively little is known about (a) how both aspects of self-compassion change during naturalistic treatment, (b) whether and how such changes relate to symptom improvement, and (c) which processes might explain the potential benefits of self-compassion. To address these gaps, the present study examined whether relations between changes in both aspects of self-compassion and treatment outcomes in a brief partial hospital setting for acute psychology could be explained by associated changes in repetitive negative thinking (RNT), an established maladaptive cognitive process involved in anxiety and depressive disorders. In a sample of 582 people receiving cognitive-behavioral (CBT) and dialectical behavior therapy over the course of 1–2 weeks, increases in positive aspects of self-compassion and decreases in negative aspects related to improvements in depression and anxiety. RNT mediated the relationship between decreases in negative aspects of self-compassion and improvements in anxiety and depression. However, a reverse model also showed that decreases in negative aspects of self-compassion could also explain relations between RNT and depressive symptom improvement only. These findings suggest that negative aspects of self-compassion and RNT may constitute important targets for treatment in acute settings. Future studies should investigate the impact of greater focus on self-compassion on RNT and symptom improvement using longitudinal experimental designs with multiple assessment points, examining causality and directionality.

Attentional dysfunction is commonly found in depressed individuals in the form of impairment on measures of selective attention as well as attentional biases for negative information. Although a relationship between nonvalenced and valenced aspects of attention has been suggested based on theory, functional neuroanatomy, and studies in other populations, this relationship has not been explicitly explored in depressed individuals. A total of 91 individuals who were currently depressed, formerly depressed, or never depressed completed tasks assessing neuropsychological functioning and attentional bias. Depression status was associated with decreased selective attention (but not set shifting) and stronger attention biases. Selective attention was also found to mediate the relationship between group status and attentional bias, but only in currently depressed individuals. These findings suggest depression is associated with specific impairments in attention and moreover that impairments in nonvalenced aspects of attention are associated with attentional bias to valenced stimuli in currently depressed individuals.

Background: Individual differences in reward-related processes, such as reward responsivity and approach motivation, appear to play a role in the nature and course of depression. Prior work suggests that cognitive biases for valenced information may contribute to these reward processes. Yet there is little work examining how biased attention, processing, and memory for positively- and negatively-valenced information may be associated with reward-related processes in samples with depression symptoms. Methods: We used a data-driven, machine-learning (elastic net) approach to identify the best predictors of self-reported reward-related processes using multiple tasks of attention, processing, and memory for valenced information measured across behavioral, eye tracking, psychophysiological, and computational modeling approaches (N = 202). Participants were adults (ages 18 - 35) who ranged in depression symptom severity from mild to severe. Results: Models predicted between 5.0-12.2% and 9.7-28.0% of held-out test sample variance in approach motivation and reward responsivity, respectively. Low self-referential processing of positively-valenced information was the most robust, albeit modest, predictor of low approach motivation and reward responsivity. Conclusions: Self-referential processing of positive information is the strongest predictor of reward responsivity and approach motivation in a sample ranging from mild to severe depression symptom severity. Experiments are now needed to clarify the causal relationship between self-referential processing of positively-valenced information and reward processes in depression.

Objective Studies have reported associations between cognitive behavioral therapy (CBT) skill use and symptom improvement in depressed outpatient samples. However, little is known regarding the temporal relationship between different subsets of therapeutic skills and symptom change among relatively severely depressed patients receiving treatment in psychiatric hospital settings. Method Adult patients with major depression (N = 173) receiving combined psychotherapeutic and pharmacological treatment at a psychiatric hospital completed repeated assessments of traditional CBT skills, DBT skills and psychological flexibility, as well as depressive and anxiety symptoms. Results Results indicated that only use of behavioral activation (BA) strategies significantly predicted depressive symptom improvement in this sample; whereas DBT skills and psychological flexibility predicted anxiety symptom change. In addition, a baseline symptom severity X BA strategies interaction emerged indicating that those patients with higher pretreatment depression severity exhibited the strongest association between use of BA strategies and depressive symptom improvement. Conclusions Findings suggest the importance of emphasizing the acquisition and regular use of BA strategies with severely depressed patients in short-term psychiatric settings. In contrast, an emphasis on the development of DBT skills and the cultivation of psychological flexibility may prove beneficial for the amelioration of anxiety symptoms.

Objective Despite the effectiveness of cognitive behavioral therapy (CBT) for depression, a significant number of patients do not respond. Data examining predictors of treatment response in settings in which CBT is delivered naturalistically are lacking. Method Treatment outcome data collected at a CBT-based partial hospital (n = 956) were used to examine predictors of two types of treatment response: (a) a reliable and clinically significant change in depressive symptoms and (b) a self-rating of “very much” or “much” improved. In multiple logistic regression models, we examined predictors of response in the total sample and separately for patients with a primary diagnosis of major depressive disorder (MDD) versus patients with other primary diagnoses. Results In the total sample, higher treatment outcome expectations and fewer past hospitalizations predicted clinically significant improvement in depression symptoms, and higher treatment expectations and ethnoracial minority background predicted global improvement. In patients with primary MDD, higher treatment outcome expectations and being referred from the community (vs. inpatient hospitalization) predicted better depression response, and higher treatment outcome expectations predicted global improvement. In patients with other primary diagnoses, higher treatment outcome expectations and fewer borderline personality disorder traits predicted depression reduction, and higher treatment outcome expectations, less relationship difficulty, and female gender predicted global improvement. Conclusions Results are generally consistent with data from randomized controlled trials on longer term outpatient CBT. Interventions that increase treatment expectancy and modifications to better target men may enhance treatment outcome. Future research should include objective outcome measures and examine mechanisms underlying treatment response.

BACKGROUND: Impulsivity in response to negative mood (negative urgency) and positive mood (positive urgency) is common in psychiatric disorders. The aims of this study were to test if urgency predicts treatment response during partial hospitalization in a transdiagnostic sample, and if urgency is malleable over the course of brief treatment. METHOD: Participants (N = 348, 55% female, M age = 32.9) were patients presenting to a CBT-based partial hospitalization program. Urgency and a range of symptoms were assessed with self-report measures during treatment. RESULTS: Higher negative urgency scores predicted worse outcome for depression and anxiety symptoms. Negative urgency (p < .001, Cohen’s d(z) = .61) and positive urgency (p < .001, Cohen’s d(z) = .39) significantly decreased during treatment. DISCUSSION: Findings suggest that participants report decreases in urgency during brief partial hospitalization treatment. Higher negative urgency predicted poorer treatment response for symptoms of depression and anxiety, demonstrating the need for novel treatments for urgency.

Neuropsychological deficits have been associated with major depression (MD) and persist in some individuals even after symptom remission. However, it is unclear if the deficits are a consequence of MD or are pre-existing and reflect MD vulnerability. We addressed this issue by studying 117 twins from monozygotic (MZ) pairs discordant for lifetime history of DSM-III-R defined MD and 41 twins from MZ pairs in which neither twin had experienced MD. Our assessment included a structured clinical interview and measures from the WMS-III and WAIS-III. The “unaffected” twins from discordant pairs showed the same pattern of performance as their affected cotwins on measures of attention, working memory, verbal memory, and visuo-spatial processing. Compared to twins from pairs with no MD history, twins in discordant pairs had lower performance in the domains of attention, memory, visuo-spatial processing, and general knowledge. However, after adjusting for sex and age, the groups differed only on attention and general knowledge. The similar performance of twins in pairs discordant for MD suggests that familial risk for MD has a greater influence on neuropsychological functioning than individual MD history. Findings of impairment in individuals euthymic for MD are more consistent with pre-existing deficits than scarring effects of MD.

Although research on depression and memory has been widespread and varied, examining depression as a factor related to impairment of recall generally as well as a factor associated with facilitated recall of negative information, few previous studies have sought to examine both phenomena in the same experimental framework. In this study, we used an Articulated Thoughts in Simulated Situations (ATSS) paradigm as a vehicle for testing recall along with a standardized memory test in order to investigate what factors may play a role in the relationship between depression and memory. ATSS scenarios of negative, neutral and positive valencewere presented to 67 subjects for response and subsequent recall alongwith thememory battery, with rumination, depression severity and gender examined as potentially important factors. Of the 67 subjects, 19 were depressed (CES-D>16). There were no demographics differences displayed among the depressed and non-depressed groups, nor between males and females. Depressed individuals displayed no differences in recall on the variety of valenced (recall of valenced ATSS scenarios) and non-valenced (Rivermead Behavioral Memory Test) memory measures compared to non-depressed participants (ns). Gender and rumination did not provide any significant additional associationwithmemory performancewhen added into the canonical regression equation. These findings add to the body of mixed results regarding how depression affects memory, highlighting the need for more fine grained examination of potential moderators of the relationship between depression and memory.