When less could be more: Investigating the effects of a brief internet-based imagery cognitive bias modification intervention in depression

Mechanisms of change in digital interventions for depression: A systematic review and meta-analysis of six mediator domains

BACKGROUND

While the efficacy of digital interventions for the treatment of depression is well established, comprehensive knowledge on how therapeutic changes come about is still limited. This systematic review aimed to provide an overview of research on change mechanisms in digital interventions for depression and meta-analytically evaluate indirect effects of potential mediators.

METHODS

The databases CENTRAL, Embase, MEDLINE, and PsycINFO were systematically searched for randomized controlled trials investigating mediators of digital interventions for adults with depression. Two reviewers independently screened studies for inclusion, assessed study quality and categorized potential mediators. Indirect effects were synthesized with a two-stage structural equation modeling approach (TSSEM).

RESULTS

Overall, 25 trials (8110 participants) investigating 84 potential mediators were identified, of which attentional (8 %), self-related (6 %), biophysiological (6 %), affective (5 %), socio-cultural (2 %) and motivational (1 %) variables were the scope of this study. TSSEM revealed significant mediation effects for combined self-related variables (ab = -0.098; 95 %-CI: [-0.150, -0.051]), combined biophysiological variables (ab = -0.073; 95 %-CI: [-0.119, -0.025]) and mindfulness (ab = -0.042; 95 %-CI: [-0.080, -0.015]). Meta-analytical evaluations of the other three domains were not feasible.

LIMITATIONS

Methodological shortcomings of the included studies, the considerable heterogeneity and the small number of investigated variables within domains limit the generalizability of the results.

CONCLUSION

The findings further the understanding of potential change mechanisms in digital interventions for depression and highlight recommendations for future process research, such as the consideration of temporal precedence and experimental manipulation of potential mediators, as well as the application of network approaches.

Cognitive bias modification for perfectionism and intolerance of uncertainty: A randomized controlled trial

This study investigated the efficacy of combined cognitive bias modification (CBM) on perfectionism and intolerance of uncertainty. Fifty-four university students scoring over 70.5 on the Brief Symptom Measure were randomly assigned to experimental and placebo control groups. The CBM intervention was administered online for 4 weeks. Assessments were given at baseline, after the 4-week intervention, and 1 month post-intervention. Results showed a statistically significant decrease in two dimensions of perfectionism, concern over mistakes and parental criticism, and intolerance of uncertainty of those in the experimental group, compared to those in the control group. The findings related to the interpretation of perfectionism revealed a significant interaction effect of time and direction of sentences for the experimental group. Lastly, the experimental group's interpretation bias scores for intolerance of uncertainty showed a statistically significant increase after the intervention compared to those in the control group. The study's findings provide preliminary support for the effectiveness of CBM on perfectionism and intolerance of uncertainty.

Induced interpretation bias affects free recall and episodic memory bias in social anxiety

The combined effect of each cognitive bias, interpretation, attention, and memory bias, is known to play a causal role in the etiology and maintenance of social anxiety. However, little is known about how each type of bias (i.e., interpretation, memory bias) acts during social anxiety. The present study aimed to investigate whether experimentally induced interpretation bias using the cognitive bias modification (CBM) paradigm would influence free recall and episodic memory biases in a Korean sample. A total of 61 participants were randomly assigned to either a positive (n = 30) or negative (n = 31) CBM group. The study used CBM scenarios that were auditory-specific and focused on social anxiety symptoms. The results showed that interpretation biases could be induced, and they resulted in training congruent state mood and memory biases on both free-recall memory and autobiographical memory, which partly confirmed the combined cognitive biases hypothesis proposed by Hirsch, Clark (1).

Personalization strategies in digital mental health interventions: a systematic review and conceptual framework for depressive symptoms

Introduction

Personalization is a much-discussed approach to improve adherence and outcomes for Digital Mental Health interventions (DMHIs). Yet, major questions remain open, such as (1) what personalization is, (2) how prevalent it is in practice, and (3) what benefits it truly has.

Methods

We address this gap by performing a systematic literature review identifying all empirical studies on DMHIs targeting depressive symptoms in adults from 2015 to September 2022. The search in Pubmed, SCOPUS and Psycinfo led to the inclusion of 138 articles, describing 94 distinct DMHIs provided to an overall sample of approximately 24,300 individuals.

Results

Our investigation results in the conceptualization of personalization as purposefully designed variation between individuals in an intervention's therapeutic elements or its structure. We propose to further differentiate personalization by what is personalized (i.e., intervention content, content order, level of guidance or communication) and the underlying mechanism [i.e., user choice, provider choice, decision rules, and machine-learning (ML) based approaches]. Applying this concept, we identified personalization in 66% of the interventions for depressive symptoms, with personalized intervention content (32% of interventions) and communication with the user (30%) being particularly popular. Personalization via decision rules (48%) and user choice (36%) were the most used mechanisms, while the utilization of ML was rare (3%). Two-thirds of personalized interventions only tailored one dimension of the intervention.

Discussion

We conclude that future interventions could provide even more personalized experiences and especially benefit from using ML models. Finally, empirical evidence for personalization was scarce and inconclusive, making further evidence for the benefits of personalization highly needed.

Systematic Review Registration

Identifier: CRD42022357408.

Serious Games Based on Cognitive Bias Modification and Learned Helplessness Paradigms for the Treatment of Depression: Design and Acceptability Study

BACKGROUND

Depression is a debilitating mental health disorder, with a large treatment gap. Recent years have seen a surge in digital interventions to bridge this treatment gap. Most of these interventions are based on computerized cognitive behavioral therapy. Despite the efficacy of computerized cognitive behavioral therapy-based interventions, their uptake is low and dropout rates are high. Cognitive bias modification (CBM) paradigms provide a complementary approach to digital interventions for depression. However, interventions based on CBM paradigms have been reported to be repetitive and boring.

OBJECTIVE

In this paper, we described the conceptualization, design, and acceptability of serious games based on CBM paradigms and the learned helplessness paradigm.

METHODS

We searched the literature for CBM paradigms that were shown to be effective in reducing depressive symptoms. For each of the CBM paradigms, we ideated how to create a game so that the gameplay was engaging while the active therapeutic component remained unchanged.

RESULTS

We developed 5 serious games based on the CBM paradigms and the learned helplessness paradigm. The games include various core elements of gamification, such as goals, challenges, feedback, rewards, progress, and fun. Overall, the games received positive acceptability ratings from 15 users.

CONCLUSIONS

These games may help improve the effectiveness and engagement levels of computerized interventions for depression.

Cognitive bias modification for adult's depression: A systematic review and meta-analysis

Objects

This study aimed to elucidate the effect of cognitive bias modification on depression.

Methods

This research included 10 randomized studies searching four major databases: PubMed, Embase, PsycINFO, and Cochrane Library, with a total sample size of 467. Moreover, they were examined for quality and possible publication bias.

Results

Cognitive bias modification (CBM) had statistically significant results, g = -0.64, 95% CI = [-0.97-0.32]. The interpretation of cognitive bias modification shows the highest effect size, g = -1.45, 95% CI = [-2.05-0.88]. When the training place is located in the laboratory, the training effect is significant, g = -1.11, 95% CI = [-1.62-0.61]. The difference is statistically significant when the training environment was changed to home, g = -0.28, 95% CI = [-0.51-0.05]. CBM has a statistical effect on moderate-to-severe depression, g = -0.70, 95% CI = [-1.04-0.36].

Conclusion

We found that CBM had a moderate therapeutic effect on depression, whether the setting was at home or in the lab. Especially when the interpretation of cognitive bias modification (CBM-I) was used, we got the highest effect value. Furthermore, CBM has a statistical effect on moderate-to-severe depression.

Attention and interpretation cognitive bias change: A systematic review and meta-analysis of bias modification paradigms

This systematic review and meta-analysis examines the effect of Cognitive Bias Modification for attention (CBM-A) and interpretation (CBM-I) on reducing the targeted biases and investigates moderators of each approach. PsycINFO, PsychArticles, and PubMED databases were searched for randomized-controlled studies published before March 2020 with pre- and post-CBM cognitive bias outcome measures, resulting in 91 CBM-A (n = 5914 individuals) and 70 CBM-I samples (n = 4802 individuals). Random-effects models and Hedge's g calculation showed significant medium overall effects of bias reduction with moderate to high heterogeneity (CBM-A g = 0.49 [0.36, 0.64], I² = 85.19%; CBM-I g = 0.58 [0.48, 0.68], I² = 70.92%). Effect sizes did not differ between approaches and remained significant after trim-and-fill adjustment for possible publication bias. Moderator variables were investigated with meta-regression and subgroup analyses. Participant age, symptom type, control condition and number of trials moderated CBM-A; student and clinical status moderated CBM-I effect size. Results support attention and interpretation modification in controlled laboratory and variable (online) training settings for non-clinical and clinical samples across various symptom types (anxiety, depression, substance use, eating disorders). Further empirical evidence is necessary to determine optimal sample and methodological combinations most strongly associated with adaptive behavioral outcomes.

Erfassung der Lebendigkeit mentaler Vorstellungsbilder

Zusammenfassung. Mentale Vorstellungsfähigkeit bezeichnet ein Konstrukt von enormer Bedeutung für diverse psychische Funktionen (z. B. Motivation, Emotion und Handlungssteuerung). Die Lebendigkeit gilt hierbei als ein zentrales und interindividuell variierendes Merkmal mentaler Vorstellungen. Bislang mangelt es allerdings an validierten deutschsprachigen Fragebögen zur Erfassung der Lebendigkeit. Daher wurden an einer Stichprobe von N = 300 Personen aus der Allgemeinbevölkerung (81 % Studierende) deutschsprachige Versionen des Vividness of Visual Imagery Questionnaire (VVIQ; visuelle Vorstellungen) und des Plymouth Sensory Imagery Questionnaire (PSI-Q; multisensorische Erfassung) adaptiert und validiert. Für den VVIQ und PSI-Q konnten die faktorielle (mittels Exploratory Structural Equation Modeling), konvergente und diskriminante Validität belegt werden. Es ergaben sich akzeptable bis hohe interne Konsistenzen, die Retest-Korrelationen (8 Monate) variierten je nach Subskala. Die Lebendigkeit mentaler Vorstellungen zeigte erwartungskonform negative Zusammenhänge mit Defiziten in der emotionalen Verarbeitung (Alexithymie). Insgesamt stellen die beiden Fragebögen ökonomische, reliable und valide Verfahren dar, um die Lebendigkeit mentaler Vorstellungen zu erfassen.

Psychological Treatments for Anhedonia

Anhedonia, a loss of interest or pleasure in activities, is a transdiagnostic symptom that characterizes many individuals suffering from depression and anxiety. Most psychological interventions are designed to decrease negative affect rather than increase positive affect, and are largely ineffective for reducing anhedonia. More recently, affective neuroscience has been leveraged to inform treatments for anhedonia by targeting aspects of the Positive Valence Systems, including impairments in reward anticipation, reward responsiveness, and reward learning. In this chapter, we review the efficacy of treatments and, when possible, highlight links to reward constructs. Augmented behavioral approaches and targeted cognitive interventions designed to target reward anticipation, responsiveness, and learning show preliminary efficacy in reducing anhedonia, while there is a relative lack of treatments that target positive emotion regulation and reward devaluation. In addition to developing treatments that address these targets, the field will benefit from establishing standardized measurement of anhedonia across units of analysis, mapping mechanisms of change onto aspects of reward processing, and examining anhedonia outcomes in the long-term.

Self-directed Technology-Based Therapeutic Methods for Adult Patients Receiving Mental Health Services: Systematic Review

BACKGROUND

Technological interventions used to treat illnesses and promote health are grouped under the umbrella term of digital therapeutics. The use of digital therapeutics is becoming increasingly common in mental health. Although many technologies are currently being implemented, research supporting their usability, efficacy, and risk requires further examination, especially for those interventions that can be used without support.

OBJECTIVE

This review aims to identify the evidence-based, self-directed, technology-based methods of care that can be used in adult patients after they are discharged from mental health services. The interventions reviewed are automated with no human input required (either at the patient's or at the technology's end), so the patients can implement them without any support.

METHODS

A systematic review was conducted according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PROSPERO (International Prospective Register of Systematic Reviews) guidelines in 3 databases: PubMed, Web of Science, and OVID. The inclusion criteria were self-directed, automated, and technology-based interventions related to mental health, primarily for adults, having a solid evaluation process. The interventions had to be self-directed, in that the participants could use the technology without any external guidance.

RESULTS

We identified 36 papers that met the inclusion criteria: 26 randomized controlled trials, 9 nonrandomized controlled trial quantitative studies, and 1 qualitative study. The technologies used included websites, automated text messaging, phone apps, videos, computer software, and integrated voice response. There were 22 studies focused on internet-based cognitive behavioral therapies as a therapeutic paradigm compared with the waitlist, web-based human-delivered therapy, and other interventions. Among these studies, 14 used paradigms other than the internet-based cognitive behavioral therapy. Of the 8 studies comparing guided and unguided digital care, 3 showed no differences, 3 favored guided interventions, and 2 favored unguided interventions. The research also showed that dropout rates were as high as 80%, citing potential problems with the acceptability of the suggested technologies.

CONCLUSIONS

There is limited research on the efficacy and suitability of self-directed technology-based care options for mental health. Digital technologies have the potential to bridge the gap between ambulatory care and independent living. However, these interventions may need to be developed collaboratively with the users to encourage their acceptability and to avoid high dropout rates.

Feasibility of computerised positive mental imagery training as a treatment adjunct in in-patient mental health settings: randomised controlled trial

Background

Positive affect and anhedonia are important but challenging targets for mental health treatments. Previous research indicates the potential of a computerised cognitive training paradigm involving generation of positive mental imagery, termed positive mental imagery training (PMIT), to increase positive affect and reduce anhedonia.

Aims

Our main aim was to investigate the feasibility of PMIT as a positive affect-focused, transdiagnostic adjunct to treatment as usual for patients in in-patient mental health settings.

Method

We ran an open feasibility, randomised controlled trial with three parallel arms: treatment as usual; treatment as usual plus PMIT; and treatment as usual plus an active comparator, cognitive control training. Fifty-seven patients from two different in-patient mental health treatment clinics in Germany were randomised in a 1:1:1 ratio. PMIT and cognitive control training comprised an introductory session followed by eight 15-min training sessions over 2 weeks. Clinical outcomes such as positive affect (primary outcome measure) and anhedonia were assessed at pre- and post-training, and at a further 2-week follow-up.

Results

Adherence was good and attrition was low. The patterns of results for the outcome data were not consistent with a specific effect of PMIT on positive affect, but were more consistent with a specific effect on anhedonia.

Conclusions

The results indicate feasibility and potential promise of a larger efficacy trial investigating PMIT as a treatment adjunct in in-patient mental health settings. Limitations include lack of researcher blinding, small sample size and lack of pre-specified feasibility outcomes. Anhedonia may be a more suitable primary outcome for a future larger trial.

Anhedonia in tobacco withdrawal among African-American smokers

Anhedonia-diminished interest and pleasure in response to rewards-may be a symptom of tobacco withdrawal that is understudied in priority populations. This experiment investigated the magnitude and correlates of various dimensions of anhedonia during tobacco withdrawal among African-American (AA) smokers-a population subject to health disparities. AA smokers (N = 607; ≥ 10 cigarettes/day, 37.8% female, M[SD] age = 50.0[10.6] years) completed self-report measures assessing expected pleasure from (i.e., consummatory anhedonia) and desire to engage in (i.e., anticipatory anhedonia) various types of hypothetically experienced rewards at counterbalanced 16-hr tobacco deprived and nondeprived lab visits. Other tobacco withdrawal symptom measures (e.g., craving, negative affect, hunger) were also assessed. Tobacco deprivation most robustly increased scores on a composite measure of consummatory anhedonia directed toward various reward domains (i.e., hobbies, sensory experiences, social activities; d = .32, p < .001). Deprivation modestly increased consummatory and anticipatory anhedonia directed toward sexual rewards (ds = .09-.12, ps < .02), did not significantly change anhedonia toward food rewards, and decreased anhedonia directed toward psychoactive drug rewards (i.e., increased desire for and pleasure from drugs; ds = -.21 to -.19, ps < .001). Deprivation-induced changes in anhedonia were modestly correlated with other withdrawal symptoms (average |r|s = .04-.23) and were amplified among participants with higher nicotine dependence and lower positive affect-related traits (|β|s = .10-.12, ps < .01). Some dimensions of anhedonia may be genuine expressions of acute tobacco withdrawal in AA smokers. Applying multi-dimensional anhedonia conceptualizations might advance basic knowledge and treatment of tobacco use disorder, improve smoking cessation outcomes, and address tobacco-related health disparities facing AA smokers. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

The effects of inducing self-compassion on affective and physiological recovery from a psychosocial stressor in depression

The current study was designed to extend previous research by testing whether self-compassion acts as a protective factor that facilitates faster affective and physiological recovery from stress in people with elevated depressive symptoms. Specifically, we examined the effect of experimentally induced self-compassion on positive affect, negative affect, and respiratory sinus arrhythmia (RSA) recovery from stress. Participants (N = 59) experiencing elevated depressive symptoms completed the Trier Social Stress Test (TSST), a standardized psychosocial stressor, and then were randomly assigned to either a self-compassion induction or a no-strategy control induction before resting quietly during the 30-min recovery period. During the induction period, participants in the self-compassion condition exhibited a greater increase in positive affect and a trend towards a greater decrease in negative affect than did participants in the no-strategy control condition. However, the psychological benefits of self-compassion did not continue during the post-induction recovery period. Moreover, changes in RSA levels did not differ between participants in the self-compassion and no-strategy control condition. These results suggest that, among individuals with elevated depressive symptoms, brief self-compassion inductions have short-term beneficial psychological, but not physiological, effects. As such, our findings delineate the benefits and boundaries of single-session self-compassion inductions in depression, and in doing so, inform future experimental and applied research.

Prospective mental imagery in depression: Impact on reward processing and reward-motivated behaviour

Background

Mental imagery has long been part of cognitive behavioural therapies. More recently, a resurgence of interest has emerged for prospective mental imagery, i.e. future-directed imagery-based thought, and its relation to reward processing, motivation and behaviour in the context of depression.

Method

We conducted a selective review on the role of prospective mental imagery and its impact on reward processing and reward-motivated behaviour in depression.

Results

Based on the current literature, we propose a conceptual mechanistic model of prospective mental imagery. Prospective mental imagery of engaging in positive activities can increase reward anticipation and reward motivation, which can transfer to increased engagement in reward-motivated behaviour and more experiences of reward, thereby decreasing depressive symptoms. We suggest directions for future research using multimodal assessments to measure the impact of prospective mental imagery from its basic functioning in the lab to real-world and clinical implementation.

Conclusion

Prospective mental imagery has the potential to improve treatment for depression where the aim is to increase reward-motivated behaviours. Future research should investigate how exactly and for whom prospective mental imagery works.

This review provides a selected update of the literature on prospective mental imagery.

Prospective mental imagery might decrease depression via reward processing and reward-motivated behaviours.

Suggestions for future research to investigate these hypotheses are provided.

Multi-session online interpretation bias training for anxiety in a community sample

The present study assessed target engagement, preliminary efficacy, and feasibility as primary outcomes of a free multi-session online cognitive bias modification of interpretation (CBM-I) intervention for anxiety in a large community sample. High trait anxious participants (N = 807) were randomly assigned to a CBM-I condition: 1) Positive training (90% positive-10% negative); 2) 50% positive-50% negative training; or 3) no-training control. Further, half of each CBM-I condition was randomized to either an anxious imagery prime or a neutral imagery prime. Due to attrition, results from six out of eight sessions were analyzed using structural equation modeling of latent growth curves. Results for the intent-to-treat sample indicate that for target engagement, consistent with predictions, decreases in negative interpretations over time were significantly greater among those receiving positive CBM-I training compared to no-training or 50-50 training, and vice-versa for increases in positive interpretations. For intervention efficacy, the decrease in anxiety symptoms over time was significantly greater among those receiving positive CBM-I training compared to no-training. Interaction effects with imagery prime were more variable with a general pattern of stronger results for those completing the anxious imagery prime. Findings indicate that online CBM-I positive training is feasible and shows some promising results, although attrition rates were very high for later training sessions.

Digital Health Interventions in Prevention, Relapse, and Therapy of Mild and Moderate Depression: Scoping Review

BACKGROUND

Depression is a major cause for disability worldwide, and digital health interventions are expected to be an augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need for mapping the technological landscape and its benefits for users.

OBJECTIVE

The purpose of this scoping review was to give an overview of the digital health interventions used for depression. The main goal of this review was to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users.

METHODS

A scoping review was conducted to provide a comprehensive overview of the field of digital health interventions for the treatment of depression. PubMed, PSYNDEX, and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last 10 years, which were examined using the inclusion and exclusion criteria. To conduct the review, we used Rayyan, a freely available web tool.

RESULTS

In total, 65 studies were included in the qualitative synthesis. After categorizing the studies into the areas of prevention, early detection, therapy, and relapse prevention, we found dominant numbers of studies in the area of therapy (n=52). There was only one study for prevention, 5 studies for early detection, and 7 studies for relapse prevention. The most dominant therapy approaches were cognitive behavioral therapy, acceptance and commitment therapy, and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavioral therapy was applied. Cognitive behavioral therapy as the most dominant form was often provided through web-based systems. Combined interventions consisting of web-based and smartphone-based approaches are increasingly found.

CONCLUSIONS

Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be difficult to determine which approaches are suitable. Cognitive behavioral therapy through digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

Intranasal oxytocin increases state anhedonia following imagery training of positive social outcomes in individuals lower in extraversion, trust-altruism, and openness to experience

Psychological disorders such as major depressive disorder are characterised by interpersonal difficulties and anhedonia. A cognitive mechanism proposed to contribute to the maintenance of these problems is a diminished ability to generate positive mental imagery, especially regarding social interactions. The current study examined whether the effects of social imagery training on social activity and anhedonia could be enhanced with the addition of intranasal oxytocin, and whether these effects might be augmented in persons with a high propensity to engage socially (i.e., high extraversion). University students (N = 111) were randomised to self-administer intranasal oxytocin or placebo, followed by a single session of positive social or non-social imagery training that required participants to imagine 64 positive scenarios occurring in either a social or non-social context, respectively. There were no main effects of imagery type and drug, and no interaction effect on anhedonia and social activity, measured respectively via self-report and a behavioural task. Individuals low in extraversion, trust-altruism, and openness to experience reported significantly more anhedonia after receiving oxytocin relative to placebo, but only following imagery training of positive social outcomes. Results highlight the negative consequences of increasing oxytocin bioavailability after priming social contact in more withdrawn individuals.

Mediators and mechanisms of change in internet- and mobile-based interventions for depression: A systematic review

The efficacy of Internet- and mobile-based interventions (IMIs) for depression in adults is well established. Yet, comprehensive knowledge on the mediators responsible for therapeutic change in these interventions is pending. Therefore, we conducted the first systematic review on mediators in IMIs for depression, investigating mechanisms of change in interventions with different theoretical backgrounds and delivery modes (PROSPERO CRD42019130301). Two independent reviewers screened references from five databases (i.e., Cochrane Library, Embase, MEDLINE/PubMed, PsycINFO and ICTRP), selected studies for inclusion and extracted data from eligible studies. We included 26 RCTs on mediators in IMIs for depression (6820 participants), rated their risk of bias and adherence to methodological quality criteria for psychotherapy process research. Primary studies examined 64 mediators, with cognitive variables (e.g., perceived control, rumination or interpretation bias) being the largest group of both examined (m = 28) and significant mediators (m = 22); followed by a range of other mediators, including mindfulness, acceptance and behavioral activation. Our findings might contribute to the empirically-informed advancement of interventions and mental health care practices, enabling optimized treatment outcomes for patients with depression. Furthermore, we discuss implications for future research and provide methodological recommendations for forthcoming mediation studies with more pertinent designs, allowing for inferences with higher causal specificity.

Inducing positive involuntary mental imagery in everyday life: an experimental investigation

Positive involuntary mental imagery occurs frequently in daily life but evidence as to its functions and importance is largely indirect. The current study investigated a method to induce positive involuntary imagery in daily life, which would allow direct testing of its impact. An unselected student sample (N = 80) completed a single session of a positive imagery cognitive bias modification (CBM) paradigm, which involved listening to and imagining brief positive imagery scripts. Participants then recorded any involuntary memories of the imagined training scenarios in a three-day diary before returning to the lab for a follow-up assessment. Participants were randomised to imagine the scenarios in either an emotionally involved or emotionally detached manner, providing a test of the role of emotion in the subsequent experience of involuntary memories. Participants reported experiencing involuntary memories of the training scenarios in their daily life, but the number recorded did not differ between the experimental conditions. Exploratory analyses suggested that more vivid imagery and recall testing were associated with a greater number of involuntary memories. The study highlights the potential of the imagery CBM paradigm to further our understanding of the functions and potential importance of positive involuntary mental imagery in daily life.

Impact of imagery-enhanced interpretation training on offline and online interpretations in worry

Worry and rumination are forms of repetitive negative thinking (RNT) that are maintained by negative interpretations and a predominance of abstract, verbal thinking. Hence, facilitating more positive interpretations and imagery-based thinking in combination may reduce RNT. Study 1 administered interpretation training with and without enhanced imagery, and an active control condition (designed not to change interpretations), in individuals with high levels of RNT (worry and/or rumination). Combining interpretation training with sustained imagery resulted in the highest levels of positive interpretation bias using an offline test of interpretation bias (when individuals have time to reflect). Study 2 investigated whether imagery-enhanced interpretation training influences online interpretations when ambiguous information is first encountered, indexed by reaction times and amplitude of the N400 event-related potential, as well as enhances offline positive interpretations in high worriers. It also examined whether imagery-enhanced interpretation training reduces negative thought intrusions associated with worry. Both online (reaction time) and offline interpretations were more positive following imagery-enhanced interpretation training, and negative thoughts were reduced, compared to the active control. However, no differences emerged on neurophysiological markers during the online task. Hence, brief interpretation training encompassing sustained imagery modifies online and offline interpretations, but further training may be required to impact upon neurophysiological measures.

Web-Based Cognitive Bias Modification Interventions for Psychiatric Disorders: Scoping Review

BACKGROUND

Cognitive biases refer to automatic attentional or interpretational tendencies, which result in individuals with addictive disorders to automatically attend to substance-related stimuli and those with anxiety disorders to attend to threatening stimuli. To date, several studies have examined the efficacy of cognitive bias modification, and meta-analytical studies have synthesized the evidence for overall efficacy. The clinical utility of cognitive bias modification interventions has previously been limited to the confines of a laboratory, but recent advances in Web technologies can change this.

OBJECTIVE

This scoping review aimed to determine the scope of Web-based cognitive bias interventions and highlight their effectiveness.

METHODS

Databases (PubMed and MEDLINE, EMBASE, PsycINFO, ScienceDirect, and Cochrane Central) were searched from inception to December 5, 2017. The following search terminologies were used: ("attention bias" OR "cognitive bias" OR "approach bias" OR "avoidance bias" OR "interpretative bias") AND ("Internet" OR "Web" OR "Online"). The methods for this scoping review are based on the previously published protocol. For the synthesis of the evidence, a narrative synthesis was undertaken, as a meta-analysis was not appropriate, given the lack of reported effect sizes and the heterogeneity in the outcomes reported.

RESULTS

Of the 2674 unique articles identified, we identified 22 randomized controlled studies that met our inclusion criteria: alcohol use disorder (n=2), tobacco use disorder (n=2), depressive disorder (n=3), anxiety and depressive symptoms in adolescents (n=3), obsessive-compulsive disorder (OCD; n=2), social anxiety disorder (n=9), and anxiety disorder (n=1). The sample sizes of these studies ranged from 16 to 434 participants. There is preliminary evidence to suggest that Web-based interventions could reduce biases among adolescents with heightened symptoms of anxiety and depression and among individuals with OCD.

CONCLUSIONS

This is the first scoping review that mapped out the scope of cognitive bias modification interventions for psychiatric disorders. Web-based interventions have been applied predominantly for social anxiety and addictive disorders. Larger cohorts must be used in future studies to better determine the effectiveness of Web-based cognitive bias interventions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/10427.

Translating CBM-I Into Real-World Settings: Augmenting a CBT-Based Psychiatric Hospital Program

Cognitive bias modification for interpretation (CBM-I) is an appealing augmentation to cognitive-behavioral therapy (CBT) because it targets cognitive bias efficiently via computerized training. Few studies have tested the combination of CBM-I and CBT, and none have translated lab-based CBM-I protocols to an acute psychiatric setting. The present study describes the development and implementation of CBM-I as an augmentation to a CBT-based partial hospital. We developed a transdiagnostic CBM-I based on the word-sentence association paradigm (WSAP), which reinforces individuals for endorsing benign interpretations and rejecting negative interpretations of ambiguous sentences. Over two iterations of development, we randomly assigned patients (N = 127; M age = 34.21; 58% female, 40% male, 2% nonbinary) to either CBM-I or a control group (Phase 1: neutral WSAP task; Phase 2: treatment as usual). CBM-I comprised daily sessions (10 minutes) completed during program hours, and number of sessions varied naturalistically according to patient length of stay. Primary outcomes included feasibility, acceptability, and target engagement (interpretation bias). CBM-I was feasible and acceptable to acute psychiatric patients, and successfully shifted interpretation for novel stimuli. Patient feedback suggested that participants viewed CBM-I as bolstering their primary CBT-based care. Exploratory analyses examining clinical benefit revealed a small between-group effect on anxiety severity (d = 0.378), but no group differences on depression outcomes (d = 0.008). Findings indicate that CBM-I is a feasible and acceptable augmentation to CBT-based partial hospital care. Future studies are warranted to determine who is most likely to benefit from this low-intensity approach.

Predictors of Symptom Outcome in Interpretation Bias Modification for Dysphoria

Interpretation Bias Modification (IBM) interventions have been effective in reducing negative interpretation biases theorized to underlie depressive psychopathology. Although these programs have been highlighted as potential short-term interventions for depression, mixed evidence has been found for their effects on depressive symptoms. There is a need to examine attitudes towards training as well as individual difference factors that may impact symptom outcomes for IBM depression interventions. Seventy-two dysphoric young adults were randomly assigned to receive either an IBM targeting negative interpretation bias in personal evaluations or interpersonal situations or a healthy video control (HVC) condition. Compared to those who received HVC, participants in the IBM condition reported lower negative interpretation bias at posttreatment. No differences between conditions were found for symptom outcomes. Greater perceived treatment credibility and expectancy were associated with better treatment outcomes for both the IBM and HVC groups. Within the IBM group, a greater tendency toward assimilation with treatment scenarios was significantly associated with better treatment outcomes for both depressive and anger symptoms. This effect was unique from treatment credibility and expectancy. Pretreatment psychological reactance did not predict treatment response for either condition. Implications and future research directions are discussed.

Computerized positive mental imagery training versus cognitive control training versus treatment as usual in inpatient mental health settings: study protocol for a randomized controlled feasibility trial

Background

Enhancing the capacity to experience positive affect could help improve recovery across a range of areas of mental health. Experimental psychopathology research indicates that a computerized cognitive training paradigm involving generation of positive mental imagery can increase state positive affect, and more recent clinical studies have suggested that this training could be used as an adjunct treatment module to target symptoms related to positive affect deficits, specifically anhedonia. The current study investigates the feasibility of adding a positive mental imagery computerized training module to treatment for patients in inpatient mental health settings, with a focus on increasing positive affect and reducing anhedonia. The positive mental imagery training (PMIT) is added to treatment as usual (TAU) in the inpatient setting, and compared to TAU alone, or TAU plus an alternative cognitive training module not hypothesized to increase positive affect, cognitive control training (CCT).

Methods

The study is a feasibility randomized controlled trial with three parallel arms. Up to 90 patients admitted to inpatient mental health treatment clinics in Germany will be randomized to PMIT + TAU, CCT + TAU, or TAU on a 1:1:1 ratio. PMIT or CCT consist of an introductory session followed by up to 8 full training sessions over 2 weeks. All three arms (including TAU) include regular completion of mood measures over the 2-week period. Outcome measures are completed pre and post this 2-week training/monitoring period, and at 2-week follow-up. Data will be presented in the form of both raw means and standardized effect sizes, with 95% confidence intervals, for both intention-to-treat and per-protocol samples.

Discussion

The study will inform feasibility of conducting a fully powered randomized controlled trial investigating the addition of the positive mental imagery training as a treatment adjunct to inpatient treatments for mental health, including potential refinement of study procedures, inclusion/exclusion criteria, and preliminary indications of the likely range of effect sizes.

Trial registration

clinicaltrials.gov, NCT02958228 (date registered: 4 November 2016).

Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps

Background

Automatic processes, such as attentional biases or interpretative biases, have been purported to be responsible for several psychiatric disorders. Recent reviews have highlighted that cognitive biases may be modifiable. Advances in eHealth and mHealth have been harnessed for the delivery of cognitive bias modification. While several studies have evaluated mHealth-based bias modification intervention, no review, to our knowledge, has synthesized the evidence for it. In addition, no review has looked at commercial apps and their functionalities and methods of bias modification. A review is essential in determining whether scientifically validated apps are available commercially and the proportion of commercial apps that have been evaluated scientifically.

Objective

The objective of this review was primarily to determine the proportion of attention or cognitive bias modification apps that have been evaluated scientifically and secondarily to determine whether the scientifically evaluated apps were commercially available. We also sought to identify commercially available bias modification apps and determine the functionalities of these apps, the methods used for attention or cognitive bias modification, and whether these apps had been evaluated scientifically.

Methods

To identify apps in the published literature, we searched PubMed, MEDLINE, PsycINFO, and Scopus for studies published from 2000 to April 17, 2018. The search terms used were “attention bias” OR “cognitive bias” AND “smartphone” OR “smartphone application” OR “smartphone app” OR “mobile phones” OR “mobile application” OR mobile app” OR “personal digital assistant.” To identify commercial apps, we conducted a manual cross-sectional search between September 15 and 25, 2017 in the Apple iTunes and Google Play app stores. The search terms used to identify the apps were “attention bias” and “cognitive bias.” We also conducted a manual search on the apps with published evaluations.

Results

The effectiveness of bias modification was reported in 7 of 8 trials that we identified in the published literature. Only 1 of the 8 previously evaluated apps was commercially available. The 17 commercial apps we identified tended to use either an attention visual search or gamified task. Only 1 commercial app had been evaluated in the published literature.

Conclusions

This is perhaps the first review to synthesize the evidence for published mHealth attention bias apps. Our review demonstrated that evidence for mHealth attention bias apps is inconclusive, and quite a few commercial apps have not been validated scientifically.

Modification of Hostile Interpretation Bias in Depression: A Randomized Controlled Trial

Interpretation Bias Modification (IBM) is gaining attention in the literature as an intervention that alters cognitive biases and reduces associated symptoms. Forty, primarily college-aged, non-treatment-seeking adults with major depressive disorder (MDD) were randomly assigned to receive either IBM targeting hostile interpretation bias (IBM-H) or a healthy video control (HVC) condition. Compared to those in HVC, participants in IBM-H reported more benign interpretations and fewer hostile interpretations at posttreatment. No difference in depressive interpretation bias was found between groups at posttreatment. IBM-H led to improved anger control at posttreatment and follow-up compared to HVC, though no effects of condition were found on trait anger or depressive symptoms. The IBM-H group perceived their treatment as less credible than the HVC group. For individuals with high expectancy of treatment success, IBM-H led to lower posttreatment depressive symptoms compared to HVC, while findings trended in the opposite direction for those with low expectancy of success. Overall, these preliminary findings point to boundary conditions for the efficacy of IBM protocols for anger and depression and potential improvements to be made to future IBM protocols.

Cognitive bias modification for facial interpretation: a randomized controlled trial of transfer to self-report and cognitive measures in a healthy sample

Cognitive bias modification is a potential low-intensity intervention for mood disorders, but previous studies have shown mixed success. This study explored whether facial interpretation bias modification (FIBM), a similar paradigm designed to shift emotional interpretation (and/or perception) of faces would transfer to: (i) self-reported symptoms and (ii) a battery of cognitive tasks. In a preregistered, double-blind randomized controlled trial, healthy participants received eight online sessions of FIBM (N = 52) or eight sham sessions (N = 52). While we replicate that FIBM successfully shifts ambiguous facial expression interpretation in the intervention group, this failed to transfer to the majority of self-report or cognitive measures. There was, however, weak, inconclusive evidence of transfer to a self-report measure of stress, a cognitive measure of anhedonia, and evidence that results were moderated by trait anxiety (whereby transference was greatest in those with higher baseline symptoms). We discuss the need for work in both larger and clinical samples, while urging caution that these FIBM training effects may not transfer to clinically relevant domains.

Brightening the Day With Flashes of Positive Mental Imagery: A Case Study of an Individual With Depression

This article presents a case example of an individual with current major depression engaging in a positive mental imagery intervention, specifically a computerized cognitive training paradigm involving repeated practice in generating positive imagery in response to ambiguous scenarios. The patient's reported experience of the intervention suggests the potential of the positive imagery intervention to "brighten" everyday life via promoting involuntary "flashes" of positive mental imagery in situations related to the scenarios, with associated beneficial effects on positive affect, future expectations, and behavior. Enhancing this aspect of the training-i.e., involuntary positive imagery in contexts where it is adaptive-may hold particular promise for reducing anhedonic symptoms of depression. Developing simple computerized interventions to increase the experience of positive mental imagery in everyday life could therefore provide a useful addition to the drive to improve treatment outcomes.

Engaging in an experiential processing mode increases positive emotional response during recall of pleasant autobiographical memories

It is important to identify effective emotion regulation strategies to increase positive emotion experience in the general population and in clinical conditions characterized by anhedonia. There are indications that engaging in experiential processing (direct awareness of sensory and bodily experience) bolsters positive emotion experience but this has not been extensively tested during memory recall. To further test this notion, 99 community participants recalled two positive autobiographical memories. Prior to the second recall, participants either underwent an experiential, analytical, or distraction induction (n = 33 per condition). Subjective happiness and sadness ratings and heart rate variability (HRV) response were measured during each recall. Greater spontaneous use of experiential processing during the first memory was associated with greater happiness experience, but was unrelated to HRV and sadness experience. Inducing experiential processing increased happiness experience relative to both the analytical and distraction conditions (but had no impact on sadness experience). There was a significant difference in HRV between conditions. The experiential condition led to a trend-significant increase, and the other conditions a non-significant decrease, in HRV from the first to the second memory. These results suggest that engaging in experiential processing is an effective way to up-regulate positive emotion experience during positive memory recall.