Improving Exposure Therapy: Rationale and Design of an International Consortium

The Exposure Therapy Consortium (ETC) was established to advance the science and practice of exposure therapy. To encourage participation from researchers and clinicians, this article describes the organizational structure and activities of the ETC. Initial research working group experiences and a proof-of-principle study underscore the potential of team science and larger-scale collaborative research in this area. Clinical working groups have begun to identify opportunities to enhance access to helpful resources for implementing exposure therapy effectively. This article discusses directions for expanding the consortium's activities and its impact on a global scale.

The future of psychological treatments: The Marburg Declaration

Although psychological treatments are broadly recognized as evidence-based interventions for various mental disorders, challenges remain. For example, a substantial proportion of patients receiving such treatments do not fully recover, and many obstacles hinder the dissemination, implementation, and training of psychological treatments. These problems require those in our field to rethink some of our basic models of mental disorders and their treatments, and question how research and practice in clinical psychology should progress. To answer these questions, a group of experts of clinical psychology convened at a Think-Tank in Marburg, Germany, in August 2022 to review the evidence and analyze barriers for current and future developments. After this event, an overview of the current state-of-the-art was drafted and suggestions for improvements and specific recommendations for research and practice were integrated. Recommendations arising from our meeting cover further improving psychological interventions through translational approaches, improving clinical research methodology, bridging the gap between more nomothetic (group-oriented) studies and idiographic (person-centered) decisions, using network approaches in addition to selecting single mechanisms to embrace the complexity of clinical reality, making use of scalable digital options for assessments and interventions, improving the training and education of future psychotherapists, and accepting the societal responsibilities that clinical psychology has in improving national and global health care. The objective of the Marburg Declaration is to stimulate a significant change regarding our understanding of mental disorders and their treatments, with the aim to trigger a new era of evidence-based psychological interventions.

The Role of Attentional Control in Mindfulness Intervention for Emotional Distress: A Randomized Controlled Trial With Longitudinal Mediation Analyses

OBJECTIVE

This study aimed to investigate whether attentional control serves as a mediator for mindfulness-based interventions for emotional distress, utilizing a randomized waitlist (WL)-controlled design.

METHODS

A total of 498 participants with high emotional distress was recruited online and randomly assigned to a 49-day online Mindfulness Intervention for Emotional Distress (MIED) group (N = 249) or a WL control group (N = 249). Levels of attentional control, anxiety and depression were assessed at baseline (T0), Week 3 (T3), Week 5 (T5) and Week 7 (postintervention, T7).

RESULTS

Linear mixed models revealed significant Group-by-Time interaction effects for attentional control (p < 0.001), anxiety (p < 0.001) and depression (p < 0.05). Latent growth curve analyses demonstrated a significant increase in attentional control and a decrease in anxiety and depression levels during the MIED programme. These changes becoming evident starting Week 3. Longitudinal mediation analyses revealed that the slope of attentional control significantly mediated the effects of the MIED programme on the slope of anxiety and depression levels. Further, attentional control level at Week 3 significantly mediates the effect of MIED programme on anxiety and depression levels at Weeks 5 and 7. Similarly, attentional control level at Week 5 significantly mediates the MIED programme's effects on anxiety and depression levels at Week 7.

CONCLUSIONS

The present trial provides evidence suggesting that mindfulness interventions may alleviate emotional distress through the enhancement of attentional control.

TRIAL REGISTRATION

Chinese Clinical Trial Registry number: ChiCTR2200064140.

Psychological flexibility and cognitive-affective processes in young adults' daily lives

Psychological flexibility plays a crucial role in how young adults adapt to their evolving cognitive and emotional landscapes. Our study investigated a core aspect of psychological flexibility in young adults: adaptive variability and maladaptive rigidity in the capacity for behavior change. We examined the interplay of these elements with cognitive-affective processes within a dynamic network, uncovering their manifestation in everyday life. Through an Ecological Momentary Assessment design, we collected intensive longitudinal data over 3 weeks from 114 young adults ages 19 to 32. Using a dynamic network approach, we assessed the temporal dynamics and individual variability in flexibility in relation to cognitive-affective processes in this sample. Rigidity exhibited the strongest directed association with other variables in the temporal network as well as highest strength centrality, demonstrating particularly strong associations to other variables in the contemporaneous network. In conclusion, the results of this study suggest that rigidity in young adults is associated with negative affect and cognitions at the same time point and the immediate future.

Vulnerabilities in social anxiety: Integrating intra- and interpersonal perspectives

What are the major vulnerabilities in people with social anxiety? What are the most promising directions for translational research pertaining to this condition? The present paper provides an integrative summary of basic and applied translational research on social anxiety, emphasizing vulnerability factors. It is divided into two subsections: intrapersonal and interpersonal. The intrapersonal section synthesizes research relating to (a) self-representations and self-referential processes; (b) emotions and their regulation; and (c) cognitive biases: attention, interpretation and judgment, and memory. The interpersonal section summarizes findings regarding the systems of (a) approach and avoidance, (b) affiliation and social rank, and their implications for interpersonal impairments. Our review suggests that the science of social anxiety and, more generally, psychopathology may be advanced by examining processes and their underlying content within broad psychological systems. Increased interaction between basic and applied researchers to diversify and elaborate different perspectives on social anxiety is necessary for progress.

Distress tolerance as a mediator of mindfulness-based intervention for anxiety and depression: Evidence from two randomized controlled trials

Objective

We aimed to investigate whether distress tolerance mediated the effects of mindfulness-based intervention (MBI) on anxiety and depression with two randomized controlled studies.

Method

In Study 1, 374 participants with at least moderate emotional distress were randomized to an intervention group (N = 174) and a waitlist control group (N = 173). Mindfulness, distress tolerance, anxiety, and depression were measured at the pre-test, week 3, week 5, and post-test. In Study 2, 170 participants with emotional disorders were randomized to an intervention group (N = 86) and a control group (N = 84). The same variables were assessed at pre-test, weekly during the intervention, and post-test.

Results

In both studies, linear mixed effect models showed that compared to the control group, mindfulness, distress tolerance, anxiety, and depression significantly improved in the intervention group. Parallel process latent growth curve models showed that changes in distress tolerance mediated the effects of the MBI on changes in anxiety and depression. Random-intercept cross-lagged panel models found that distress tolerance temporally preceded depression, but not anxiety.

Conclusions

Distress tolerance is a potential mechanism underlying MBIs. Interventions targeting distress tolerance could be embedded in MBIs to enhance the intervention effects for emotional distress.

[Video-Based Online Metta-Meditation Therapy for Depression: A Pilot Trial Evaluating the Acceptability and Feasibility]

Background

In the course of the Covid-19 pandemic, it has become clear what relevance non-contact psychotherapeutic online interventions in mental health care could possibly have in the future. The present pilot study aims to test whether a Metta-based group program is also an acceptable and feasible treatment when conducted as video-based intervention. Metta meditations aim at showing unconditional benevolence and kindness to oneself and to other people.

Methods

Eight patients with depressive disorder participated in a video-based implementation of the Metta-based group program. Quality of the therapeutic relationship, the implementation of methods as well as the acceptance of the video-based therapy on the part of the participants were surveyed as target variables.

Results

Data indicated good feasibility in terms of a sustainable therapeutic relationship, the possibility of teaching meditation techniques, and the establishment of a concentrated working atmosphere. Videobased therapy met with good acceptance among the participants. Potential indications for its clinical effectiveness are evident.

Conclusion

Teaching Metta meditation in a group program for the treatment of depression can be practicably implemented in a video-based therapy and meets with good acceptance by the patients. Further studies on moderators of acceptance and efficacy of video-based therapy are needed.

A Systematic Evaluation of Machine Learning-Based Biomarkers for Major Depressive Disorder

Importance

Biological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, major depressive disorder (MDD), no informative biomarkers have been identified.

Objective

To evaluate whether machine learning (ML) can identify a multivariate biomarker for MDD.

Design, Setting, and Participants

This study used data from the Marburg-Münster Affective Disorders Cohort Study, a case-control clinical neuroimaging study. Patients with acute or lifetime MDD and healthy controls aged 18 to 65 years were recruited from primary care and the general population in Münster and Marburg, Germany, from September 11, 2014, to September 26, 2018. The Münster Neuroimaging Cohort (MNC) was used as an independent partial replication sample. Data were analyzed from April 2022 to June 2023.

Exposure

Patients with MDD and healthy controls.

Main Outcome and Measure

Diagnostic classification accuracy was quantified on an individual level using an extensive ML-based multivariate approach across a comprehensive range of neuroimaging modalities, including structural and functional magnetic resonance imaging and diffusion tensor imaging as well as a polygenic risk score for depression.

Results

Of 1801 included participants, 1162 (64.5%) were female, and the mean (SD) age was 36.1 (13.1) years. There were a total of 856 patients with MDD (47.5%) and 945 healthy controls (52.5%). The MNC replication sample included 1198 individuals (362 with MDD [30.1%] and 836 healthy controls [69.9%]). Training and testing a total of 4 million ML models, mean (SD) accuracies for diagnostic classification ranged between 48.1% (3.6%) and 62.0% (4.8%). Integrating neuroimaging modalities and stratifying individuals based on age, sex, treatment, or remission status does not enhance model performance. Findings were replicated within study sites and also observed in structural magnetic resonance imaging within MNC. Under simulated conditions of perfect reliability, performance did not significantly improve. Analyzing model errors suggests that symptom severity could be a potential focus for identifying MDD subgroups.

Conclusion and Relevance

Despite the improved predictive capability of multivariate compared with univariate neuroimaging markers, no informative individual-level MDD biomarker-even under extensive ML optimization in a large sample of diagnosed patients-could be identified.

Hype or hope? High placebo response in major depression treatment with ketamine and esketamine: a systematic review and meta-analysis

Background

Ketamine and esketamine offer a novel approach in the pharmacological treatment of major depressive disorder (MDD). This meta-analysis aimed to investigate the placebo response in double-blind, randomized controlled studies (RCTs) on patients with MDD receiving ketamine or esketamine.

Methods

For this systematic review and meta-analysis Medline (PubMed), Cochrane Central Register of Controlled Trials (CENTRAL), PsycInfo and Embase databases were systematically searched for citations published up to March 17, 2023. A total number of 5017 abstracts was identified. Quality of the included trials was assessed with the Cochrane risk-of-bias tool. The meta-analysis was performed using a restricted maximum likelihood model. This study is registered with PROSPERO, number CRD42022377591.

Results

A total number of 14 studies and 1100 participants (593 in the medication group and 507 in the placebo group) meeting the inclusion criteria were selected. We estimated the pooled effect sizes of the overall placebo (d pl = -1.85 [CI 95%: -2.9 to -0.79] and overall treatment (dtr = -2.57; [CI 95% -3.36 to -1.78]) response. The overall placebo response accounts for up to 72% of the overall treatment response. Furthermore, we performed subgroup analysis of 8 studies for the for the 7 days post-intervention timepoint. Seven days post-intervention the placebo response (d pl 7d = -1.98 [CI 95%: -3.26 to -0.69]) accounts for 66% of the treatment response (d tr 7d = - 3.01 [CI 95%, -4.28 to -1.74]).

Conclusion

Ketamine and esketamine show large antidepressant effects. However, our findings suggest that the placebo response plays a significant role in the antidepressant response and should be used for the benefit of the patients in clinical practice.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022377591.

The Human Affectome

Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic context and values, have dictated affective constructs and operationalizations. However, an assumption about the purpose of affective phenomena can guide us to a common set of metaphysical and mechanistic assumptions. In this capstone paper, we home in on a nested teleological principle for human affective phenomena in order to synthesize metaphysical and mechanistic assumptions. Under this framework, human affective phenomena can collectively be considered algorithms that either adjust based on the human comfort zone (affective concerns) or monitor those adaptive processes (affective features). This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope the Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research.

Effect of cognitive behavioural therapy and yoga for generalised anxiety disorder on sleep quality in a randomised controlled trial: the role of worry, mindfulness, and perceived stress as mediators

Sleep disturbances are present in ~65% of individuals with generalised anxiety disorder (GAD). Although both Kundalini yoga (KY) and cognitive behavioural therapy (CBT) are effective treatment options for GAD, little is known about how these treatments compare in improving sleep for GAD and what drives these changes. Accordingly, we examined the effects of CBT, KY, and stress education (SEdu; an attention control condition) on subjective sleep quality (as measured by the Pittsburgh Sleep Quality Index [PSQI] and Insomnia Severity Index [ISI]) in a randomised controlled trial of 226 adults with GAD (mean age 33.37 years; 70% female; 79% White). We hypothesised that both CBT and KY would outperform SEdu in improving sleep disturbances. Three potential mediators of sleep improvement (worry, mindfulness, perceived stress) were also examined. In line with hypotheses, PSQI and ISI scores significantly improved from pre- to post-treatment for all three treatment groups (all p < 0.001, all d > 0.97). However, contrary to predictions, sleep changes were not significantly greater for CBT or KY compared to SEdu. In mediation analyses, within-person deviations in worry, mindfulness, and stress each significantly mediated the effect of time on sleep outcomes. Degree of change in sleep attributable to worry (CBT > KY > SEdu) and perceived stress (CBT, KY > SEdu) was moderated by treatment group. Personalised medicine as well as combined treatment approaches should be studied to help reduce sleep difficulties for patients with GAD who do not respond.

The definition of treatment resistance in anxiety disorders: a Delphi method-based consensus guideline

Anxiety disorders are very prevalent and often persistent mental disorders, with a considerable rate of treatment resistance which requires regulatory clinical trials of innovative therapeutic interventions. However, an explicit definition of treatment-resistant anxiety disorders (TR-AD) informing such trials is currently lacking. We used a Delphi method-based consensus approach to provide internationally agreed, consistent and clinically useful operational criteria for TR-AD in adults. Following a summary of the current state of knowledge based on international guidelines and an available systematic review, a survey of free-text responses to a 29-item questionnaire on relevant aspects of TR-AD, and an online consensus meeting, a panel of 36 multidisciplinary international experts and stakeholders voted anonymously on written statements in three survey rounds. Consensus was defined as ≥75% of the panel agreeing with a statement. The panel agreed on a set of 14 recommendations for the definition of TR-AD, providing detailed operational criteria for resistance to pharmacological and/or psychotherapeutic treatment, as well as a potential staging model. The panel also evaluated further aspects regarding epidemiological subgroups, comorbidities and biographical factors, the terminology of TR-AD vs. "difficult-to-treat" anxiety disorders, preferences and attitudes of persons with these disorders, and future research directions. This Delphi method-based consensus on operational criteria for TR-AD is expected to serve as a systematic, consistent and practical clinical guideline to aid in designing future mechanistic studies and facilitate clinical trials for regulatory purposes. This effort could ultimately lead to the development of more effective evidence-based stepped-care treatment algorithms for patients with anxiety disorders.

The Relationship Between Psychological Inflexibility and Well-Being in Adults: A Meta-Analysis of the Acceptance and Action Questionnaire

Psychological inflexibility is defined as the rigid responding to stimuli (e.g., unpleasant thoughts and feelings) that interferes with well-being and valued actions. It is the treatment target in acceptance and commitment therapy (ACT). Despite the centrality of the link between inflexibility and well-being to ACT theory, an empirical review clarifying the nature of this relationship has not been conducted. As such, the current meta-analysis examined the meta-correlation between psychological inflexibility, measured by the Acceptance and Action Questionnaire (AAQ) and its variants, and well-being. A systematic review yielded 151 studies, including 25 versions of the AAQ and 43 well-being measures. Consistent with ACT theory, higher psychological inflexibility was associated with worse well-being (r = -.47, 95% CI[-.49, -.45]). In addition, sample diagnosis, type of AAQ, and type of well-being measure significantly moderated this relationship. Overall, our findings support the hypothesized link between psychological inflexibility and worse well-being. Limitations include reliance on cross-sectional data, precluding causal interpretation.

Do We Need a Novel Framework for Classifying Psychopathology? A Discussion Paper

Introduction

The ICD-11 and DSM-5 are the leading systems for the classification of mental disorders, and their relevance for clinical work and research, as well as their impact for policy making and legal questions, has increased considerably. In recent years, other frameworks have been proposed to supplement or even replace the ICD and the DSM, raising many questions regarding clinical utility, scientific relevance, and, at the core, how best to conceptualize mental disorders.

Method

As examples of the new approaches that have emerged, here we introduce the Hierarchical Taxonomy of Psychopathology (HiTOP), the Research Domain Criteria (RDoC), systems and network approaches, process-based approaches, as well as a new approach to the classification of personality disorders.

Results and Discussion

We highlight main distinctions between these classification frameworks, largely related to different priorities and goals, and discuss areas of overlap and potential compatibility. Synergies among these systems may provide promising new avenues for research and clinical practice.

What good are positive emotions for treatment? A replication test of whether trait positive emotionality predicts response to exposure therapy for social anxiety disorder

BACKGROUND

Positive valence emotions serve functions that may facilitate response to exposure therapy - they encourage approach behavior, diminish perceived threat reactivity, and enhance assimilation of new information in memory. Few studies have examined whether positive emotions predict exposure therapy success and extant findings are mixed.

METHODS

We conducted a secondary analysis of an exposure therapy trial for social anxiety disorder to test the hypothesis that patients endorsing higher trait positive emotions at baseline would display the greatest treatment response. N = 152 participants enrolled in a randomized controlled trial of d-cycloserine augmentation completed five sessions of group exposure therapy. Pre-treatment positive emotionality was assessed using the NEO Five-Factor Inventory. Social anxiety symptoms were assessed throughout treatment by blinded evaluators using the Liebowitz Social Anxiety Scale.

RESULTS

Accounting for baseline symptom severity, multilevel growth curve models revealed that patients with higher pre-treatment positive emotionality displayed faster social anxiety symptom reductions and lower scores at 3-month follow-up. This predictive effect remained significant after controlling for baseline depression and extraversion (without the positive emotionality facet).

CONCLUSIONS

These findings add to emerging evidence suggesting that explicitly targeting and enhancing positive emotions during exposure to perceived threat may improve treatment outcomes for anxiety and fear-based disorders.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT02066792https://clinicaltrials.gov/ct2/show/NCT02066792.

The Idionomic Future of Cognitive Behavioral Therapy: What Stands Out From Criticisms of ACT Development

The present special section critical of Acceptance and Commitment Therapy or Training (ACT in either case) and its basis in psychological flexibility, relational frame theory, functional contextualism, and contextual behavioral science (CBS) contains both worthwhile criticisms and fundamental misunderstandings. Noting the important historical role that behavior analysis has played in the cognitive behavioral therapy (CBT) tradition, we argue that CBS as a modern face of behavior analytic thinking has a potentially important positive role to play in CBT going forward. We clarify functional contextualism and its link to ethical behavior, attempting to clear up misunderstandings that could seriously undermine genuine scientific conversations. We then examine the limits of using syndromes and protocols as a basis for further developing models and methods; the role of measurement and processes of change in driving progress toward more personalized interventions; how pragmatically useful concepts can help basic science inform practice; how both small- and large-scale studies can contribute to scientific progress; and how all these strands can be pulled together to benefit humanity. In each area, we argue that further progress will require major modifications in our traditional approaches to such areas as psychometrics, the conduct of randomized trials, the analysis of findings using traditional normative statistics, and the use of data from diverse cultures and marginalized populations. There have been multiple generational shifts in our field's history, and a similar shift appears to be taking place once again.

A biphasic relational approach to the evolution of human consciousness: Un enfoque relacional bifásico para la evolución de la conciencia humana

Background/objective

Human consciousness is arguably unique, and its features are hard to explain. Continuous and discrete accounts of consciousness are commonly viewed as incompatible, but both have limitations. Continuous accounts cannot readily account for what appears to be unique about human consciousness; discrete accounts have a hard time explaining how human consciousness could have evolved. The present position paper shows how both continuous and discontinuously elements can be combined.

Method

A biphasic model is constructed by unifying complex systems theory, the evolution of symbolic reasoning as a relational extension of human cooperation, and evolutionary science. The application of this approach to modern views of consciousness is then explored.

Results

Our analysis suggests that human consciousness may be viewed as a discontinuous event, that emerged from continuous foundations. This biphasic account contains processes that can be targeted clinically. For example, developmentally delayed children with problems in consciousness may be helped by targeting the processes the present account suggests are important at different levels of complexity.

Conclusions

This biphasic relational approach fits with the evolutionary record and with data on human cognitive development. It may be useful in guiding clinical intervention.

Distress tolerance as a mechanism of mindfulness for depression and anxiety: Cross-sectional and diary evidence

Background

Both trait and state mindfulness are associated with less depression and anxiety, but the mechanisms remain unknown. Distress tolerance, an important transdiagnostic factor of emotional disorders, may mediate the relationship between mindfulness and depression/anxiety.

Method

Study 1 examined the mediation model at the between-person level in a large cross-sectional sample (n = 905). In Study 2, a daily diary study (n = 110) was conducted to examine within-person changes. Participants were invited to complete daily diaries measuring daily mindfulness, distress tolerance, depression and anxiety for 14 consecutive days.

Results

In Study 1, results of simple mediation analyses indicated that distress tolerance mediated the relationship between mindfulness and depression/anxiety at the between-person level. In Study 2, results of multilevel mediation analyses indicated that, in both the concurrent model and time-lagged model, daily distress tolerance mediated the effects of daily mindfulness on daily depression/anxiety at both the within- and between-person level.

Conclusions

Distress tolerance is a mechanism underlying the relationship between mindfulness and depression/anxiety. Individuals with high or fluctuating depression and anxiety may benefit from short-term or long-term mindfulness training to increase distress tolerance.

Comparing Kundalini Yoga, cognitive behavioral therapy, and stress education for generalized anxiety disorder: Anxiety and depression symptom outcomes

Increasingly, individuals with anxiety disorders are seeking mind-body interventions (e.g., yoga), but their effectiveness is unclear. This report summarizes seven additional, secondary outcomes measuring anxiety and depression symptoms from a study of 226 adults with generalized anxiety disorder who were randomized to 12-week Kundalini Yoga, Cognitive-Behavior Therapy (CBT) or stress education (control). At post-treatment, participants receiving CBT displayed significantly lower symptom severity, compared to those in the control group, on 6 of the 7 measures. Participants who received Yoga (vs. those in the control group) displayed lower symptom severity on 3 of the 7 measures. No significant differences were detected between participants receiving CBT vs those receiving Yoga. At the 6-month follow-up, participants from the CBT continued to display lower symptoms than the control group.

Formalizing psychological interventions through network control theory

Despite the growing deployment of network representation to comprehend psychological phenomena, the question of whether and how networks can effectively describe the effects of psychological interventions remains elusive. Network control theory, the engineering study of networked interventions, has recently emerged as a viable methodology to characterize and guide interventions. However, there is a scarcity of empirical studies testing the extent to which it can be useful within a psychological context. In this paper, we investigate a representative psychological intervention experiment, use network control theory to model the intervention and predict its effect. Using this data, we showed that: (1) the observed psychological effect, in terms of sensitivity and specificity, relates to the regional network control theoretic metrics (average and modal controllability), (2) the size of change following intervention negatively correlates with a whole-network topology that quantifies the "ease" of change as described by control theory (control energy), and (3) responses after intervention can be predicted based on formal results from control theory. These insights assert that network control theory has significant potential as a tool for investigating psychological interventions. Drawing on this specific example and the overarching framework of network control theory, we further elaborate on the conceptualization of psychological interventions, methodological considerations, and future directions in this burgeoning field.

Using pre-treatment de novo threat conditioning outcomes to predict treatment response to DCS augmentation of exposure-based CBT

BACKGROUND

Over a decade and a half of research has resulted in inconsistent evidence for the efficacy of d-cycloserine (DCS), a partial glutamatergic N-methyl-D-aspartate agonist, for augmenting exposure-based cognitive behavioral therapy (CBT) for anxiety- and fear-based disorders. These variable findings have motivated the search for moderators of DCS augmentation efficacy.

METHODS

In this secondary analysis of a previous randomized clinical trial, we evaluated the value of de novo threat conditioning outcomes-degree of threat acquisition, extinction, and extinction retention-for predicting treatment response to exposure-based CBT for social anxiety disorder, applied with and without DCS augmentation in a sample of 59 outpatients.

RESULTS

We found that average differential skin conductance response (SCR) during extinction and extinction retention significantly moderated the prediction of clinical response to DCS: participants with poorer extinction and extinction retention showed relatively improved treatment response with DCS. No such effects were found for expectancy ratings, consistent with accounts of DCS selectively aiding lower-order but not higher-order extinction learning.

CONCLUSIONS

These findings provide support for extinction and extinction retention outcomes from threat conditioning as potential pre-treatment biomarkers for DCS augmentation benefits. Independent of DCS augmentation, the current study did not support threat conditioning outcomes as useful for predicting response to exposure-based CBT.

Effect of psychotherapy for adult depression on self-esteem: A systematic review and meta-analysis

BACKGROUND

There is emerging evidence to suggest that Cognitive Behavioral Therapy for depression may have a secondary effect on self-esteem, but less is known about non-CBT based interventions. To examine this, we had two main aims; (1) to meta-analyze psychotherapy effects on (i) depression and (ii) self-esteem, and (2) to investigate the relationship between reductions in depression symptoms and improvements in self-esteem.

DESIGN

A systematic review and meta-analysis.

METHODS

Following the PRISMA guidelines, we conducted a meta-analysis of randomized control trials of psychotherapy for adult depression, which included a self-esteem outcome at post-treatment. Nineteen studies with a total of 3423 participants met the inclusion criteria. For each comparison between psychotherapy and a control condition, we calculated Hedges' g both for depression and self-esteem and pooled them in two separate meta-analyses. Furthermore, meta-regression was used to explore the association between the effect of psychotherapy for depression and its effect on self-esteem.

RESULTS

The effects on depression were large and significant (Hedges' g = -0.95; [95 % CI: -1.27, -0.63]). We found evidence of smaller, albeit still moderate, effects on self-esteem (Hedges'g = 0.63; [95 % CI:0.32, 0.93]), with sustained effects at 6-12 months (Hedges'g = 0.70; [95 % CI: -0.03, 1.43]). We also found a strong inverse association between the effects of psychotherapy for depression and self-esteem (β = -0.60, p < 0.001).

LIMITATIONS

Heterogeneity was very high (I² = 97 %), and out of 19 trials, only 6 trials were rated as having a low risk of bias.

CONCLUSIONS

The results suggest that psychotherapy for depression may improve self-esteem to a moderate degree.

The potential mediating role of anxiety sensitivity in the impact of mindfulness training on anxiety and depression severity and impairment: A randomized controlled trial

The benefits of mindfulness-based interventions to alleviate anxiety and depression have been supported by many studies. Given the effectiveness of mindfulness-based interventions on anxiety and depression, the underlying mechanisms need to be explored. Using a randomized waitlist-controlled design, this study investigated whether anxiety sensitivity was a potential mechanism for the impact of mindfulness training on anxiety and depression. Participants with high psychological distress were randomly assigned to an eight-week mindfulness intervention (N = 35) or a wait-list control group (N = 34). Before and after the intervention or corresponding waitlist period, participants completed measures of anxiety and depression severity and impairment and anxiety sensitivity. Separate mixed ANOVA demonstrated significant group (intervention vs. control group) × time (pre- vs. post-test) interactions for anxiety sensitivity and overall anxiety severity and impairment and marginally significant interaction for overall depression severity and impairment. Moreover, simple mediation models showed that reductions of anxiety sensitivity from pre- to post-test mediated the impact of mindfulness training on changes in anxiety and depression severity and impairment. The findings suggest that anxiety sensitivity is a potential mechanism underlying the effect of mindfulness training on anxiety and depression, which provides a new perspective for the study of processes of change of mindfulness-based interventions.

Efficacy of Cognitive Behavioral Therapy for Anxiety-Related Disorders: A Meta-Analysis of Recent Literature

PURPOSE OF REVIEW

Effective treatment of anxiety-related disorders is crucial, considering the prevalence of such disorders and their association with poor psychosocial functioning. To evaluate the most recent evidence on the efficacy of cognitive behavioral therapy (CBT) for anxiety-related disorders in adults, we conducted a meta-analysis of randomized placebo-controlled trials published since 2017.

RECENT FINDINGS

Ten studies with a total of 1250 participants met the inclusion criteria. Seven of these studies examined PTSD. The findings demonstrated small placebo-controlled effects of CBT on target disorder symptoms (Hedges' g = 0.24, p < 0.05) and depression (Hedges' g = 0.15, p = n.s). When examining only PTSD studies, effects were reduced (Hedges' g = 0.14, p < 0.05). Heterogeneity in most analyses was very low, and no publication bias was found. Effect sizes from placebo-controlled trials from the past 5 years appear to be smaller than those in prior meta-analyses. The findings are largely driven by research on PTSD, with few placebo-controlled trials of other anxiety-related disorders published since 2017.

Enhanced Mental Reinstatement of Exposure to Improve Extinction Generalization: A Study on Claustrophobia and MRI Fear

Fear of enclosed spaces prevents many people from receiving magnetic resonance imaging (MRI) scans. Although exposure therapy can effectively treat such fears, reductions in fear during exposure often do not generalize beyond the context in which they took place. This study tested a strategy designed to increase generalization, which involved revisiting the memory of a prior exposure to enhance retrieval of extinction learning. Forty-five participants with claustrophobia that included fear of MRI scans underwent a series of exposures lying inside a narrow cabinet. One week later, participants were randomly assigned to enhanced mental reinstatement (EMR) or control procedures. Prior to entering a mock MRI scanner, EMR participants recalled the memory of exposure training and listened to an audio recording of themselves describing what they learned, whereas control participants recalled a neutral memory. Compared to the control condition, EMR led to significantly reduced heart rate reactivity in the mock MRI scanner, but not self-reported fear or avoidance. There were no differences between conditions in claustrophobia symptoms or MRI fear at 1-month follow-up. Results suggest some benefits of mental reinstatement for improving generalization of gains following exposure training for claustrophobia, with measures of subjective fear and physiological arousal showing discordant outcomes.

A generative adversarial model of intrusive imagery in the human brain

The mechanisms underlying the subjective experiences of mental disorders remain poorly understood. This is partly due to long-standing over-emphasis on behavioral and physiological symptoms and a de-emphasis of the patient's subjective experiences when searching for treatments. Here, we provide a new perspective on the subjective experience of mental disorders based on findings in neuroscience and artificial intelligence (AI). Specifically, we propose the subjective experience that occurs in visual imagination depends on mechanisms similar to generative adversarial networks that have recently been developed in AI. The basic idea is that a generator network fabricates a prediction of the world, and a discriminator network determines whether it is likely real or not. Given that similar adversarial interactions occur in the two major visual pathways of perception in people, we explored whether we could leverage this AI-inspired approach to better understand the intrusive imagery experiences of patients suffering from mental illnesses such as post-traumatic stress disorder (PTSD) and acute stress disorder. In our model, a nonconscious visual pathway generates predictions of the environment that influence the parallel but interacting conscious pathway. We propose that in some patients, an imbalance in these adversarial interactions leads to an overrepresentation of disturbing content relative to current reality, and results in debilitating flashbacks. By situating the subjective experience of intrusive visual imagery in the adversarial interaction of these visual pathways, we propose testable hypotheses on novel mechanisms and clinical applications for controlling and possibly preventing symptoms resulting from intrusive imagery.

A process-based approach to cognitive behavioral therapy: A theory-based case illustration

Despite the significant contribution of cognitive-behavioral therapy to effective treatment options for specific syndromes, treatment progress has been stagnating, with response rates plateauing over the past several years. This stagnation has led clinical researchers to call for an approach that instead focuses on processes of change and the individual in their particular context. Process-based therapy (PBT) is a general approach representing a model of models, grounded in evolution science, with an emphasis on idiographic methods, network models of case conceptualization, and enhancing wellbeing. In this paper, we describe the theory underlying PBT and present a case study for how to apply PBT tools and principles to deliver process-informed and person-centered evidence-based treatment. In addition, we discuss lessons learned from our case and provide suggestions for future considerations when implementing PBT in clinical settings.

Temporal and contemporaneous network structures of affect and physical activity in emotional disorders

BACKGROUND

High negative affect, low positive affect, and limited physical activity figure prominently in psychopathology, but little is known about the interrelatedness of affect and physical activity in emotional disorders.

METHODS

We combined ecological momentary assessment data with a network approach to examine the dynamic relations among positive affect, negative affect, and smartphone-based estimates of physical activity in 34 participants with anxiety and depressive disorders over a 2-week period.

RESULTS

In the contemporaneous networks, the positive affect nodes exhibited greater overall strength centrality than negative affect nodes. The temporal networks indicated that the negative affect node 'sadness' exhibited the greatest out-strength centrality. Furthermore, physical activity was unconnected to the affect nodes in either the temporal or contemporaneous networks.

CONCLUSIONS

Whereas positive affect plays a greater role in the contemporaneous experience of emotions, negative affect contributes more so to future affective states.

Impact of preference for yoga or cognitive behavioral therapy in patients with generalized anxiety disorder on treatment outcomes and engagement

There is some, but inconsistent, evidence to suggest that matching patient treatment preference enhances treatment engagement and outcome. The current study examined differential preferences and factors associated with treatment preference for 12-week group cognitive behavioral therapy (CBT), yoga, or stress education in 226 adults with generalized anxiety disorder (GAD; 70% female, Mean age = 33 ± 13.5). In a subsample of 165 patients who reported an intervention preference and were randomized to yoga or CBT, we further examined whether match to preferred intervention improved the primary treatment outcome (responder status on Clinical Global Impressions Scale) and engagement (dropout, homework compliance). Preferences for CBT (44%) and yoga (40%) were similar among patients. Women tended to prefer yoga (OR = 2.75, p = .01) and CBT preference was associated with higher baseline perceived stress (OR = 0.92, p = .04) and self-consciousness meta-cognitions (OR = 0.90, p = .02). Among those not matched to their preference, treatment response was higher for those receiving CBT than yoga (OR = 11.73, p = .013); there were no group differences for those matched to their treatment preference. In yoga, those who received their preference were more likely to drop than those who did not (OR = 3.02, 95% CI = [1.20, 7.58], p = .037). This was not the case for CBT (OR = 0.37, 95% CI = [0.13, 1.03], p = .076). Preference match did not predict homework compliance. Overall, results suggest that treatment preference may be important to consider to optimize outcome and engagement; however, it may vary by treatment modality. Future research incorporating preference, especially with yoga for anxiety, is aligned with personalized medicine. TRIAL REGISTRATION: clinicaltrials.gov: NCT01912287; https://clinicaltrials.gov/ct2/show/NCT01912287.

Interpersonal emotion regulation questionnaire: psychometric properties of the Italian version and associations with psychopathology

The emerging field of interpersonal emotion regulation (IER) is drawing attention to forms of emotion regulation which involve communication and social interaction as part of the regulation process. The availability of instruments to measure IER in different languages represents significant promise for future work in this field. The goal of the present study was to validate an Italian adaptation of a self-report instrument for the assessment of IER, the Interpersonal Emotion Regulation Questionnaire (IERQ; Hofmann et al., 2016). In an Italian sample (N=448), exploratory and confirmatory factor analyses confirmed the original structure comprising four factors (Enhancing Positive Affect, Perspective Taking, Soothing and Social Modelling). Correlations with other measures of emotion regulation showed good convergent validity of the questionnaire.

Effectiveness and mechanism of a 4-week online self-help mindfulness intervention among individuals with emotional distress during COVID-19 in China

Background

Many people suffered from emotional distress especially during the COVID-19 pandemic. In order to alleviate emotional distress, more accessible psychological intervention programs, such as online intervention programs, are needed. The study aimed to investigate the efficacy and the potential mechanism of a 4-week, online, self-help mindfulness-based intervention to manage emotional distress during the COVID-19 pandemic between February 3 and May 20, 2020.

Methods

A total of 302 individuals with high emotional distress completed a self-help mindfulness course, which lasted 30–60 min per day for 28 consecutive days. Participants who registered in the program later were included in the analyses as the control group (n = 315). Levels of mindfulness, perceived stress, emotional distress, anxiety and depression were assessed at baseline(T1), week 1(T2), week 2(T3), week 3(T4) and week 4(T5).

Results

Significant Group by Time interaction effects were found on mindfulness, perceived stress, emotional distress, anxiety and depression (p < 0.001). Compared to the control group, the intervention group had a greater increase in changes of all outcome variables (p < 0.001). Random intercept cross-lagged analyses showed that compared with control group, mindfulness at T2 and T4 negatively predicted stress at T3 and T5, and mindfulness at T2 and T4 negatively predicted depression at T3 and T5 while depression at T3 predicted mindfulness at T4 in the mindfulness group.

Conclusions

The results suggest that a 4-week self-help online mindfulness intervention improved mindfulness and reduced stress, emotional distress, anxiety and depression symptoms. Compared to the control group, changes in mindfulness preceded changes in stress, and mindfulness and depression reciprocally influenced each other during the intervention.

Trial registration Chinese Clinical Trial Registry: ChiCTR2000034539. Registered 9 July 2020—Retrospectively registered, http://www.chictr.org.cn/edit.aspx?pid=55721&htm=4.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40359-022-00831-7.

Putting the "mental" back in "mental disorders": a perspective from research on fear and anxiety

Mental health problems often involve clusters of symptoms that include subjective (conscious) experiences as well as behavioral and/or physiological responses. Because the bodily responses are readily measured objectively, these have come to be emphasized when developing treatments and assessing their effectiveness. On the other hand, the subjective experience of the patient reported during a clinical interview is often viewed as a weak correlate of psychopathology. To the extent that subjective symptoms are related to the underlying problem, it is often assumed that they will be taken care of if the more objective behavioral and physiological symptoms are properly treated. Decades of research on anxiety disorders, however, show that behavioral and physiological symptoms do not correlate as strongly with subjective experiences as is typically assumed. Further, the treatments developed using more objective symptoms as a marker of psychopathology have mostly been disappointing in effectiveness. Given that "mental" disorders are named for, and defined by, their subjective mental qualities, it is perhaps not surprising, in retrospect, that treatments that have sidelined mental qualities have not been especially effective. These negative attitudes about subjective experience took root in psychiatry and allied fields decades ago when there were few avenues for scientifically studying subjective experience. Today, however, cognitive neuroscience research on consciousness is thriving, and offers a viable and novel scientific approach that could help achieve a deeper understanding of mental disorders and their treatment.

Toward a Unified Framework for Positive Psychology Interventions: Evidence-Based Processes of Change in Coaching, Prevention, and Training

Since 2000, research within positive psychology has exploded, as reflected in dozens of meta-analyses of different interventions and targeted processes, including strength spotting, positive affect, meaning in life, mindfulness, gratitude, hope, and passion. Frequently, researchers treat positive psychology processes of change as distinct from each other and unrelated to processes in clinical psychology. This paper presents a comprehensive framework for positive psychology processes that crosses theoretical orientation, links coherently to clinical psychology and its more dominantly "negative" processes, and supports practitioners in their efforts to personalize positive psychological interventions. We argue that a multi-dimensional and multi-level extended evolutionary approach can organize effective processes of change in psychosocial interventions, by focusing interventions on context-appropriate variation, selection, and retention of processes, arranged in terms of key biopsychosocial dimensions across psychological, biophysiological, and sociocultural levels of analysis. We review widely studied positive psychology constructs and programs and show how this evolutionary approach can readily accommodate them and provide a common language and framework for improving human and community flourishing. We conclude that Interventions should start with the person, not the protocol.

Reward-Related Neural Circuitry in Depressed and Anxious Adolescents: A Human Connectome Project

OBJECTIVE

Although depression and anxiety often have distinct etiologies, they frequently co-occur in adolescence. Recent initiatives have underscored the importance of developing new ways of classifying mental illness based on underlying neural dimensions that cut across traditional diagnostic boundaries. Accordingly, the aim of the study was to clarify reward-related neural circuitry that may characterize depressed-anxious youth.

METHOD

The Boston Adolescent Neuroimaging of Depression and Anxiety Human Connectome Project tested group differences regarding subcortical volume and nucleus accumbens activation during an incentive processing task among 14- to 17-year-old adolescents presenting with a primary depressive and/or anxiety disorder (n = 129) or no lifetime history of mental disorders (n = 64). In addition, multimodal modeling examined predictors of depression and anxiety symptom change over a 6-month follow-up period.

RESULTS

Our findings highlighted considerable convergence. Relative to healthy youth, depressed-anxious adolescents exhibited reduced nucleus accumbens volume and activation following reward receipt. These findings remained when removing all medicated participants (∼59% of depressed-anxious youth). Subgroup analyses comparing anxious-only, depressed-anxious, and healthy youth also were largely consistent. Multimodal modeling showed that only structural alterations predicted depressive symptoms over time.

CONCLUSION

Multimodal findings highlight alterations within nucleus accumbens structure and function that characterize depressed-anxious adolescents. In the current hypothesis-driven analyses, however, only reduced nucleus accumbens volume predicted depressive symptoms over time. An important next step will be to clarify why structural alterations have an impact on reward-related processes and associated symptoms.

Affective Styles and their Association with Anxiety and Depression in a Japanese Clinical Sample

Affective styles are assumed to play an important role in maintaining negative affect, including anxiety and depression. However, little is known about the longitudinal relationship between affective styles and symptoms. Therefore, we conducted a longitudinal study to examine the influence of affective styles, assessed using the Affective Style Questionnaire, on anxiety and depression among clinical populations in Japan. Using an online survey, 1,521 participants (406 with major depressive disorder; 479 with one or more anxiety disorders; 636 with both) answered the Affective Style Questionnaire and measures of emotion regulation, anxiety, and depression symptoms. Data were collected twice over two months. Confirmatory factor analyses replicated the same four-factor structure found in a previous sample of Japanese university students. Hierarchical regression analyses revealed that the affective styles had a slightly greater effect on anxiety symptoms but not on depression compared to other common emotion regulation strategies, such as suppression and reappraisal measured by the ERQ. Limitations of this study were that it used online surveys, in which, participants' diagnostic statuses were based on unverifiable self-reports. In conclusion, the association of affective styles with anxiety and depression among the clinical populations was prospectively confirmed. Further study is needed to examine the association considering the combination or profiles of affective styles among different emotional disorders.

ENIGMA-anxiety working group: Rationale for and organization of large-scale neuroimaging studies of anxiety disorders

Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA-Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA-Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA-Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders.

Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data

The development of scanners with ultra-high gradient strength, spearheaded by the Human Connectome Project, has led to dramatic improvements in the spatial, angular, and diffusion resolution that is feasible for in vivo diffusion MRI acquisitions. The improved quality of the data can be exploited to achieve higher accuracy in the inference of both microstructural and macrostructural anatomy. However, such high-quality data can only be acquired on a handful of Connectom MRI scanners worldwide, while remaining prohibitive in clinical settings because of the constraints imposed by hardware and scanning time. In this study, we first update the classical protocols for tractography-based, manual annotation of major white-matter pathways, to adapt them to the much greater volume and variability of the streamlines that can be produced from today’s state-of-the-art diffusion MRI data. We then use these protocols to annotate 42 major pathways manually in data from a Connectom scanner. Finally, we show that, when we use these manually annotated pathways as training data for global probabilistic tractography with anatomical neighborhood priors, we can perform highly accurate, automated reconstruction of the same pathways in much lower-quality, more widely available diffusion MRI data. The outcomes of this work include both a new, comprehensive atlas of WM pathways from Connectom data, and an updated version of our tractography toolbox, TRActs Constrained by UnderLying Anatomy (TRACULA), which is trained on data from this atlas. Both the atlas and TRACULA are distributed publicly as part of FreeSurfer. We present the first comprehensive comparison of TRACULA to the more conventional, multi-region-of-interest approach to automated tractography, and the first demonstration of training TRACULA on high-quality, Connectom data to benefit studies that use more modest acquisition protocols.

Metta-Based Therapy for Chronic Depression: a Wait List Control Trial

Objectives

Current treatments for chronic depression have focused on reducing interpersonal problems and negative affect, but paid little attention to promoting prosocial motivation and positive affect. Following this treatment focus, the objective of the present study was to examine whether the combination of metta (Loving Kindness) group meditation and subsequent tailored individual therapy focusing on kindness towards oneself and others (metta-based therapy, MBT) shows greater improvements in depressive symptoms than a wait list control group in patients with chronic depression.

Methods

Forty-eight patients with DSM-5 persistent depressive disorder were randomly assigned to MBT or a wait list control condition. Outcome was assessed after group meditation, after subsequent individual therapy, and at 6-month follow-up. The primary outcome measure was an independent blind rating of depressive symptoms at post-test. Secondary outcome included changes in self-reported depression, behavioral activation, rumination, social functioning, mindfulness, compassion, and clinician-rated emotion regulation.

Results

Mixed-design analyses showed significant differences between MBT and WLC in changes from pre- to post-test in clinician-rated and self-rated depression, behavioral activation, rumination, social functioning, mindfulness, and emotion regulation. Most of the changes occurred during group meditation and were associated with large effect sizes. Improvements were maintained at 6-month follow-up.

Conclusions

The results provide preliminary support for the effectiveness of MBT in treating chronic depression.

Trial Registration

ISRCTN, ISRCTN97264476.

Sleep quality and outcome of exposure therapy in adults with social anxiety disorder

INTRODUCTION

Poor sleep is prevalent among individuals with social anxiety disorder (SAD) and may negatively affect exposure therapy outcomes. Poor sleep may impair memory and learning, and thus compromise fear extinction learning thought to take place in exposure therapy. We examined poor sleep as a predictor of exposure therapy outcomes for SAD and the moderating role of d-cycloserine (DCS) on this relationship.

METHODS

Participants were 152 individuals with a primary diagnosis of SAD. As part of a randomized clinical trial evaluating the efficacy of DCS for enhancing the effects of exposure therapy, they completed self-report baseline measure of sleep quality, and self-report sleep diaries assessing sleep duration (total sleep time [TST]) and sleep quality the nights before and after treatment sessions.

RESULTS

Poorer baseline sleep quality was significantly associated with slower improvement over time and worse symptom outcomes at the end of treatment and follow-up after controlling for baseline symptoms of depression and social anxiety. Greater TST the night before treatment predicted lower SAD symptoms at the next session, after controlling for symptoms at the previous session. There was no relation between prior or subsequent night sleep quality on symptoms at the next session. No associations were moderated by DCS.

CONCLUSIONS

We replicated and extended findings indicating that poor sleep quality is associated with poorer exposure therapy outcomes for SAD. Assessing for sleep difficulties before treatment initiation and incorporating sleep interventions into treatment may enhance exposure therapy outcomes for SAD.

Therapist Interventions and Skills as Predictors of Dropout in Outpatient Psychotherapy

The current study employed machine learning to investigate whether the inclusion of observer-rated therapist interventions and skills in early sessions of psychotherapy improved dropout prediction beyond intake assessments. Patients were treated by postgraduate clinicians at a university outpatient clinic. Psychometric instruments were assessed at intake and therapeutic interventions and skills in the third session were routinely rated by independent observers. After variable preselection, an elastic net algorithm was used to build two dropout prediction models, one including and one excluding observer-rated session variables. The best model included observer-rated variables and was significantly superior to the model including intake variables only. Alongside intake variables, two observer-rated variables significantly predicted dropout: therapist use of feedback and summaries and treatment difficulty. Although not retained in the final prediction model, the observer-rated use of cognitive techniques was also significantly correlated with dropout. Observer ratings of therapist interventions and skills in early sessions of psychotherapy improve predictors of dropout from psychotherapy beyond intake variables alone. Future research could work toward personalizing dropout predictions to the specific dyad, thereby improving their validity and aiding therapists to recognize and react to increased dropout risk.

Distinct and interacting impacts of trait anxiety and a state anxiety manipulation on attentional switching

BACKGROUND AND OBJECTIVES

According to the Attentional Control Theory, individuals with high levels of anxiety often shift their attention inefficiently due to increased effort to meet task demands. However, literature on the effects of anxiety on shifting performance is discrepant. This study examined the impacts of trait and state anxiety on attentional shifting and whether worry or depression explained variance in shifting.

DESIGN AND METHODS

One-hundred thirty-eight undergraduate psychology students were randomized to the Trier Social Stress Test (TSST) or control TSST. Subjects completed measures of state/trait anxiety, worry, and depression and a computerized attention task. Statistical analyses included linear mixed modelling (LMM), t-tests, and ANOVAs.

RESULTS

Results revealed significant effects of state and trait anxiety and worry, but not depression. Type (location/direction) and presentation (switch/repeat) of trials also affected response times. Trait anxiety significantly related to trial presentation but did not interact with trial type. State anxiety did not significantly relate to either trial index. State and trait anxiety significantly impacted overall response time. Results revealed variations in cognitive flexibility, but no interactions between state and trait anxiety in predicting task switching.

CONCLUSION

These findings are discussed in the context of Attentional Control Theory and relevant empirical research.

"Third-wave" cognitive and behavioral therapies and the emergence of a process-based approach to intervention in psychiatry

For decades, cognitive and behavioral therapies (CBTs) have been tested in randomized controlled trials for specific psychiatric syndromes that were assumed to represent expressions of latent diseases. Although these protocols were more effective as compared to psychological control conditions, placebo treatments, and even active pharmacotherapies, further advancement in efficacy and dissemination has been inhibited by a failure to focus on processes of change. This picture appears now to be evolving, due both to a collapse of the idea that mental disorders can be classified into distinct, discrete categories, and to the more central attention given to processes of change in newer, so-called "third-wave" CBTs. Here we review the context for this historic progress and evaluate the impact of these newer methods and models, not as protocols for treating syndromes, but as ways of targeting an expanded range of processes of change. Five key features of "third-wave" therapies are underlined: a focus on context and function; the view that new models and methods should build on other strands of CBT; a focus on broad and flexible repertoires vs. an approach to signs and symptoms; applying processes to the clinician, not just the client; and expanding into more complex issues historically more characteristic of humanistic, existential, analytic, or system-oriented approaches. We argue that these newer methods can be considered in the context of an idiographic approach to process-based functional analysis. Psychological processes of change can be organized into six dimensions: cognition, affect, attention, self, motivation and overt behavior. Several important processes of change combine two or more of these dimensions. Tailoring intervention strategies to target the appropriate processes in a given individual would be a major advance in psychiatry and an important step toward precision mental health care.

The Impact of COVID-19 on mental health

COVID-19 Special Issue Commentary.