How to boost positive interpretations? A meta-analysis of the effectiveness of cognitive bias modification for interpretation

A randomized controlled trial modifying insomnia-consistent interpretation bias in students

This study aimed to determine the causal role of insomnia-consistent interpretation bias within the cognitive model of insomnia, by modifying this bias in students experiencing subclinical levels of insomnia and assessing subsequent effects on sleep parameters. A sample of 128 students underwent randomization to receive either a single session of online Cognitive Bias Modification-Interpretation (CBM-I) or a sham training. Participants then tracked their pre-sleep worry and sleep parameters for seven consecutive days. Interpretation bias was assessed using an encoding-recognition task specifically designed for insomnia-related interpretation bias. The CBM-I manipulation utilized ambiguous scenarios to redirect participants away from making insomnia-related interpretations. Results revealed that CBM-I effectively decreased insomnia-consistent interpretation bias compared to the sham treatment, with interpretation bias being absent post-training in the CBM-I group. This reduction did not lead to improvements in pre-sleep worry or any sleep parameters. This study has been the first to investigate the causal role of interpretation bias on symptoms of insomnia. Although results indicated this bias to be modifiable, its causality within the cognitive model proves to be more complicated. Future research focusing on optimization of cognitive bias modifications could shed more light on the effects of biased cognitions on insomnia symptoms.

Transitioning to college: Testing cognitive bias modification for interpretations as an inoculation tool for social anxiety in college first-years

BACKGROUND AND OBJECTIVES

Reducing social anxiety development among incoming college students may improve college adjustment and mental health outcomes. This study tested whether cognitive bias modification for interpretations (CBM-I) reduces social anxiety and increases adjustment during the transition to college, and whether changes in outcomes would be mediated by changes in interpretation biases.

METHODS

Participants (N = 73) were randomly assigned to a 3-session weekly CBM-I condition or symptom tracking (ST) control condition. Multilevel models were used to estimate within-person trajectories from baseline to one week post-intervention and to test whether trajectories differed by condition.

RESULTS

Those in the CBM-I condition (vs. ST) reported higher increases in social adjustment across time. There were not significant differences between conditions for changes in social anxiety, academic adjustment, and personal adjustment. CBM-I was indirectly linked to improvements in outcome variables via more adaptive interpretation biases.

LIMITATIONS

CBM-I was administered in a laboratory setting, requiring more resources than some computerized interventions.

CONCLUSIONS

Data tentatively support CBM-I for first-year students to increase social adjustment. Further, mediation findings provide support for targeting interpretation biases to improve social anxiety and adjustment outcomes. Yet, CBM-I did not outperform ST in improving social anxiety symptoms or other areas of college adjustment, and effect sizes were small, suggesting that more work is needed to amplify the potential of CBM-I as a therapeutic tool.

An intervention study on college students' employment anxiety based on interpretation bias modification: A randomized controlled experiment

External environmental factors and internal cognitive bias affect college students' anxiety while job hunting. The current study is an intervention study on alleviating employment anxiety among college students through an Interpretation Bias Modification (IBM) computer-based intervention. A total of 79 valid participants were recruited. The Interpretation Bias Modification (IBM) group participants were required to complete employment-related IBM Internet training twice a week for three weeks. The placebo control group participants were required to complete neutral Internet training at the same frequency. The waiting list control group did not undergo any training. The groups were tested at three time points: prior to the intervention (pre-test), immediately after (post-test), and one month after the intervention (one-month follow-up). The IBM intervention group [F(2, 72) = 31.68, p < 0.001] showed greater significance in reducing employment anxiety than participants in the placebo control group [F(2, 72) = 9.83, p < 0.001] from the pre-test to one-month follow-up. There was no significant difference in employment anxiety among the waiting-list control group over time. The IBM intervention for college students can effectively decrease employment anxiety and reduce interpretation bias, which can be maintained at the one-month follow-up.

Relevance of pre-stimulus oscillatory activity for the perceived valence of emotional facial expressions

The interpretation of emotional facial expressions is crucial in everyday social interactions, and rapid processing of these expressions is necessary. Although extensive research has shed light on the mechanisms involved in facial expression processing, there is limited research on the potential role of the state of neural activity that directly precedes the occurrence of a face. Here, we investigated the potential modulatory role of pre-stimulus oscillatory activity in emotional facial expression processing. We tested emotional facial processing in two experiments, one utilizing artificial and the other natural facial expressions. The participants had to evaluate the emotional valence of the presented ambiguous facial expressions. In a univariate analysis, differences in the oscillation activity of the later rated valence of the faces were observed in both experiments, and these differences were observed even before the presentation of the facial expressions. Importantly, two different multivariate approaches directly supported the relevance of pre-stimulus oscillatory activity by exclusively using pre-stimulus oscillatory data to predict the perceived valence of the latter rated facial expression across the two experiments within as well as across subjects. The behavioral data shows the often observed negativity bias, i.e. ambiguous faces resulted in the tendency to rate them as negative. This negativity bias was related to neural activity modulations in the pre-stimulus period and also within post-stimulus processing related activity. These findings underscore the significance of pre-stimulus oscillatory activity in facial expression processing, indicating a functional role of ongoing neural states that affects the processing of facial expressions and constitute a basis for the well described negativity bias.

Probability, cost, and interpretation biases' relationships with depressive and anxious symptom severity: differential mediation by worry and repetitive negative thinking

People high in depressive or anxious symptom severity show repetitive negative thinking, including worry and rumination. They also show various cognitive phenomena, including probability, cost, and interpretation biases. Since there is conceptual overlap between these cognitive biases and repetitive negative thinking - all involve thinking about potential threats and misfortunes - we wondered whether repetitive negative thinking could account for (mediate) these cognitive biases' associations with depressive and anxious symptom severity. In three studies, conducted in two languages and cultures, cost bias and (in two studies) interpretation bias only predicted symptom severity via worry and repetitive negative thinking; this suggests these biases are actually associated with repetitive negative thinking, rather than with symptoms. In contrast, probability bias showed direct relationships with depressive (all studies) and anxious (two studies) symptom severity, suggesting its relationships with symptoms are partly independent of repetitive negative thinking. These results show the value of studying relationships among the various cognitive features of psychopathology. Furthermore, new interventions which target cognitive biases in depression or anxiety must show that they can improve upon cognitive behavioural therapy, which is already widely available, targets both repetitive negative thinking and probability bias, and is highly effective.

Clinical and psychological implications of post-traumatic stress in firefighters: a moderated network study

Firefighters are frequently exposed to trauma and may experience a unique symptom presentation of post-traumatic stress. Prior research has identified stronger associations between certain post-traumatic stress symptoms (e.g. detachment, intrusions, physiological reactivity) using network analysis. However, little is known about the effects of symptom severity and emergency work-related trauma on symptom networks. The present study probed the network structure of post-traumatic stress symptoms in trauma-exposed firefighters (N = 871) to model the dynamic interactions of psychological symptoms. We developed a network of post-traumatic stress symptoms and a network of post-traumatic stress with clinical covariates and used moderated network modelling to assess the effects of having PTSD and experiencing work-related trauma on the networks. We identified high edge correlations between several nodes (e.g. startle/hypervigilance, internal/external cue avoidance, detachment/lack of interest) and high centrality of detachment, external cue avoidance, and flashbacks. Additionally, having PTSD moderated positive network associations between risk-taking and suicidality and between distorted blame and post-traumatic cognitions. Work-related trauma moderated negative associations between appetite gain and loss and appetite loss and suicidality. Findings suggest that targeting specific symptoms of detachment, external cue avoidance, and flashbacks could allow for the development of effective trauma-informed interventions for these populations.

Single session of interpretation bias modification helped to improve fear of COVID-19 and COVID-19-related post-traumatic stress symptoms

BACKGROUND

Post-traumatic stress symptoms (PTSS) are frequently observed in those who have experienced trauma events like the COVID-19 outbreak. The cognitive model of PTSS highlights the relationship between PTSS and negative interpretation bias.

OBJECTIVE

The present study aimed to modify interpretation bias and to improve PTSS as well as PTSS-related fear.

METHODS

59 participants with high PTSS levels were recruited and randomly allocated to either the interpretation modification programme (IMP) intervention group or the interpretation control condition (ICC) control group. PTSS, negative interpretation bias, fear of COVID-19, and depression and anxiety symptoms were assessed before and after training.

FINDINGS

Intention-to-treat analyses showed that compared with ICC, participants receiving IMP generated fewer negative interpretations for ambiguous scenarios, and the group-by-time interaction effect was significant. IMP also illustrated a more significant change in fear after training compared with ICC. Although no effects of training conditions were found on PTSS, the interaction of training conditions with fear reduction could predict PTSS improvement.

CONCLUSIONS

IMP could improve negative interpretations and fear related to COVID-19 and might help to ameliorate PTSS.

CLINICAL IMPLICATIONS

The role of PTSS-related emotion should be considered when exploring the effectiveness of IMP. IMP is a flexible approach that can be tailored to the specific characteristics of the traumatic event, which makes it suitable for a broader range of traumatised individuals.

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).

Social determinants of mental health during a year of the COVID-19 pandemic

Belonging is a basic human need, with social isolation signaling a threat to biological fitness. Sensitivity to ostracism varies across individuals and the lifespan, peaking in adolescence. Government-imposed restrictions upon social interactions during COVID-19 may therefore be particularly detrimental to young people and those most sensitive to ostracism. Participants (N = 2367; 89.95% female, 11-100 years) from three countries with differing levels of government restrictions (Australia, UK, and USA) were surveyed thrice at three-month intervals (May 2020 - April 2021). Young people, and those living under the tightest government restrictions, reported the worst mental health, with these inequalities in mental health remaining constant throughout the study period. Further dissection of these results revealed that young people high on social rejection sensitivity reported the most mental health problems at the final assessment. These findings help account for the greater impact of enforced social isolation on young people's mental health, and open novel avenues for intervention.

Shifting Episodic Prediction With Online Cognitive Bias Modification: A Randomized Controlled Trial

Negative future thinking pervades emotional disorders. This hybrid efficacy-effectiveness trial tested a four-session, scalable online cognitive bias modification program for training more positive episodic prediction. 958 adults (73.3% female, 86.5% White, 83.4% from United States) were randomized to positive conditions with ambiguous future scenarios that ended positively, 50/50 conditions that ended positively or negatively, or a control condition with neutral scenarios. As hypothesized (preregistration: https://osf.io/jrst6), positive training participants improved more than control participants in negative expectancy bias (d = -0.58), positive expectancy bias (d = 0.80), and self-efficacy (d = 0.29). Positive training was also superior to 50/50 training for expectancy bias and optimism (d = 0.31). Training gains attenuated yet remained by 1-month follow-up. Unexpectedly, participants across conditions improved comparably in anxiety and depression symptoms and growth mindset. Targeting a transdiagnostic process with a scalable program may improve bias and outlook; however, further validation of outcome measures is required.

The influence of outcome expectancy on interpretation bias training in social anxiety: an experimental pilot study

BACKGROUND

Cognitive bias modification for interpretation (CBM-I) trainings have shown positive effects on interpretation bias in both active interpretation bias training conditions and structurally similar control conditions. Outcome expectations have been suggested to contribute to these placebo effects. The goal of this pilot experimental study was to test the feasibility of positive expectancy induction, to gain preliminary insight into whether this has implications for the efficacy of CBM-I training, and to assess the feasibility of recruitment and the overall study design.

METHODS

Socially anxious individuals aged 18 years and older received a single session (approx. 45 min) of either CBM-I or placebo training preceded by either a positive expectancy induction or no expectancy induction. We first tested whether the expectancy induction had modified participants' expectations of training. We then explored the effects of CBM-I training and expectancy induction on interpretation bias. Finally, we assessed the feasibility of recruitment and further study procedures.

RESULTS

Due to pandemic-related difficulties, fewer participants were recruited than initially planned. Thirty-four (22 females and 12 males) participants were randomly assigned to one of four conditions (interpretation bias training + high expectancy = 10, interpretation bias training + no expectancy = 8, placebo training + high expectancy = 11, placebo training + no expectancy = 5). Participants in the positive expectancy condition had more positive expectations of the training (CBM-I or placebo) than participants in the no expectancy condition. We were unable to conduct the planned 2 × 2 × 2 analysis of interpretation bias due to the small sample size. When looking at these groups individually, we found that participants in the active training condition and participants in the high expectancy condition showed increases in positive interpretation bias and decreases in negative interpretation bias from pre- to post-training, while participants in the placebo and no expectancy conditions showed no change.

CONCLUSIONS

These findings suggest that the expectancy manipulation utilized in this study may be adopted by future studies which investigate outcome expectations as an unspecific mechanism of CBM-I. Preliminary analyses suggest that participants' expectations are likely to play a role in the effect of CBM-I training, although these effects require replication in a larger sample. Several observations about the study feasibility were made which could inform future trials.

TRIAL REGISTRATION

Retrospectively registered on the August 23, 2022, through the German Clinical Trials Register ( DRKS00029768 ).

A systematic review with meta-analysis of cognitive bias modification interventions for anger and aggression

Aggression and anger are associated with interpretation and attention biases. Such biases have become treatment targets for anger and aggressive behavior in cognitive bias modification (CBM) interventions. Several studies have evaluated the efficacy of CBM for the treatment of anger and aggressive behavior, with inconsistent results. The present study meta-analytically analyzed 29 randomized controlled trial studies (N = 2334) published in EBSCOhost and PubMed between March 2013 and March 2023 assessing the efficacy of CBM for anger and/or aggression. Included studies delivered CBMs that addressed either attention biases, interpretation biases, or both. Risk of publication bias and potential moderating effects of several participant-, treatment- and study-related factors were assessed. CBM significantly outperformed control conditions in the treatment of aggression (Hedge's G = -0.23, 95% CI [-0.35, -0.11], p < .001) and anger (Hedge's G = -0.18, 95% CI [-0.28, -0.07], p = .001) independent of treatment dose, participant demographic characteristics, and study quality, though overall effects were small. Follow-up analyses demonstrated that only CBMs targeting interpretation bias were efficacious for aggression outcomes, but not when baseline aggression was accounted for. Findings suggest that CBM demonstrates efficacy for the treatment aggressive behavior and to a lesser extent, anger.

Can mental imagery boost the effect of the positive cognitive bias modification of interpretation (CBM-I) on interpretation bias and memory bias?

BACKGROUND AND OBJECTIVES

Cognitive bias modification of interpretation (CBM-I) has been widely used and yielded mixed results. This experiment explored the unique role of mental imagery in positive CBM-I.

METHODS

60 participants (M = 23.13, SD = 1.04) were randomly assigned to a imagery-based positive CBM-I group (imagery group) and a conventional verbal-based positive CBM-I group (control group). The imagery group received additional practice in generating mental imagery and were instructed to fully focus on the imagery during the formal training. The dependent variables included interpretation bias (probe latencies and similarity ratings for recognition task), memory bias, and intrusive memory.

RESULTS

(1) For the positive probe scenario, the reaction time of the two groups was shorter in the posterior five blocks than the anterior five blocks. However, the difference in latency between pre- and post- training for the imagery group was larger than that of the control group; (2) For the recognition task, the positive target statement score was significantly higher, while the negative one was significantly lower for the imagery group than that of the control group (3) The imagery group (vs. control); showed more beneficial effects on memory bias.

LIMITATIONS

The limitations consisted of the difference in time of the manipulation between the two groups, the richness of the imagery operationalization, generalizability, and the lack of pre-manipulation of interpretation bias assessments.

CONCLUSIONS

The imagery-based CBM-I led to more positive interpretation biases, less negative interpretations, and more positive memory biases, indicating that mental imagery can boost the effect of the positive CBM-I.

A double-blind phase II randomized controlled trial of an online cognitive bias modification for interpretation program with and without psychoeducation for people with chronic pain

ABSTRACT

Cognitive bias modification for interpretation (CBM-I) is an effective intervention for anxiety, but there is only a single trial in people with chronic pain. The aim of this randomized controlled trial was to test CBM-I with and without psychoeducation for people with chronic pain. We randomized 288 participants to 4 groups comprising treatment (CBM-I vs placebo) with or without psychoeducation. One hundred and eighty-three participants (64%) completed 4, 15-minute training sessions over 2 weeks. The coprimary outcomes were pain interference and pain intensity. We also measured interpretation bias, fear of movement, catastrophizing, depression, anxiety, and stress. Participants with more psychopathology at baseline were more likely to dropout, as were those allocated to psychoeducation. Intention-to-treat analyses using linear mixed models regression were conducted. Training effects of CBM-I were found on interpretation bias, but not a near-transfer task. Cognitive bias modification of interpretation improved both primary outcomes compared with placebo. For pain interference, there was also a main effect favoring psychoeducation. The CBM-I group improved significantly more than placebo for fear of movement, but not catastrophizing, depression, or anxiety. Cognitive bias modification of interpretation reduced stress but only for those who also received psychoeducation. This trial shows that CBM-I has promise in the management of pain, but there was limited evidence that psychoeducation improved the efficacy of CBM-I. Cognitive bias modification of interpretation was administered entirely remotely and is highly scalable, but future research should focus on paradigms that lead to better engagement of people with chronic pain with CBM-I.

Effects of interpretation bias modification on hostile attribution bias and reactive cyber-aggression in Chinese adolescents: a randomized controlled trial

Highly aggressive individuals tend to interpret others' motives and intentions as hostile in both offline and online social situations. The current study examined whether hostile interpretation bias can be modified to influence cyber-aggression in Chinese middle school students using an interpretation bias modification program. Gender differences and the heterogeneity of cyber-aggression were also investigated since previous studies suggest that they play important roles in determining the intervention effect. One hundred and twenty-one middle school students were randomized to receive either an eight-session interpretation bias modification task (CBM-I; n = 61) or an eight-session placebo control task (PCT; n = 60) over four weeks. Measures of hostile attribution bias and cyber-aggression were administered at baseline, post-training, and at one week follow-up. Results showed that compared to PCT, participants in CBM-I showed a significant reduction in reactive cyber-aggression. However, contrary to our expectation, there was no significant difference between the two groups in the reduction of hostile attribution bias after training. The moderated mediation analysis revealed that the effect of CBM-I on hostile attribution bias and the mediating role of hostile attribution bias in the relationship between CBM-I condition and reactive cyber-aggression was only observed among females, but not among males. These findings provide initial evidence for the potential of CBM-I in reducing hostile attribution bias and cyber-aggression. However, for male students, CBM-I might not be effective enough as expected.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12144-023-04433-3.

The effects of challenge and threat states on coping flexibility: evidence from framing and exemplar priming

BACKGROUND AND OBJECTIVES

Challenge and threat states have divergent effects on cognitive, affective, and behavioral responses. The present research used two experiments to investigate whether challenge and threat states influence coping flexibility differently.

DESIGN

Study 1 (N = 93) used loss-framed and gain-framed task instructions to elicit situation-specific threat and challenge evaluations, respectively, with a Null condition as a control. Study 2 (N = 86) used an online single-session Cognitive Bias Modification for Interpretation (CBM-I) paradigm to present participants with exemplars related to either positive or negative resolutions of stressful situations to engender a stress-is-a-challenge or stress-is-a-threat mindset, with a mixed condition as a control.

RESULTS

Loss-framed task instruction generated situation-specific threat evaluation, debilitated effective attention, and reduced positive affect, without altering coping flexibility measured in other scenarios. CBM-I engendered a stress-is-a-challenge mindset and maintained positive affect and coping flexibility, whereas the negative and mixed groups decreased coping flexibility. A stress-is-a-challenge mindset was positively associated with coping flexibility prior to and after exemplar priming.

CONCLUSIONS

Findings enrich the literature on stress coping and shed light on future practice by illustrating the different effects of framing and CBM-I on challenge/threat situation-specific evaluation and stress mindset, and the positive relation of stress-is-a-challenge mindset to coping flexibility.

Emotional bias training as a treatment for anxiety and depression: evidence from experimental medicine studies in healthy and medicated samples

BACKGROUND

Anxiety and depression are leading causes of disability worldwide, yet individuals are often unable to access appropriate treatment. There is a need to develop effective interventions that can be delivered remotely. Previous research has suggested that emotional processing biases are a potential target for intervention, and these may be altered through brief training programs.

METHODS

We report two experimental medicine studies of emotional bias training in two samples: individuals from the general population (n = 522) and individuals currently taking antidepressants to treat anxiety or depression (n = 212). Participants, recruited online, completed four sessions of EBT from their own home. Mental health and cognitive functioning outcomes were assessed at baseline, immediately post-training, and at 2-week follow-up.

RESULTS

In both studies, our intervention successfully trained participants to perceive ambiguous social information more positively. This persisted at a 2-week follow-up. There was no clear evidence that this change in emotional processing transferred to improvements in symptoms in the primary analyses. However, in both studies, there was weak evidence for improved quality of life following EBT amongst individuals with more depressive symptoms at baseline. No clear evidence of transfer effects was observed for self-reported daily stress, anhedonia or depressive symptoms. Exploratory analyses suggested that younger participants reported greater treatment gains.

CONCLUSIONS

These studies demonstrate the effectiveness of delivering a multi-session online training program to promote lasting cognitive changes. Given the inconsistent evidence for transfer effects, EBT requires further development before it can be considered as a treatment for anxiety and depression.

Effects of a Smartphone-Based, Multisession Interpretation-Bias Modification for Anxiety: Positive Intervention Effects and Low Attrition

While interpretation-bias modification (IBM) is an effective intervention for treating anxiety, it is not broadly used in clinical or daily practice. To this end, this study developed and tested a smartphone-based IBM application. We adopted the ambiguous situation paradigm as an intervention task in conjunction with robust training materials that broadly covered situations encountered in daily life. We recruited participants with high-trait anxiety and divided them into three groups: (1) positive training; (2) 50% positive-50% negative training; and (3) no-training control. The first two groups completed 28 days of smartphone-based training (IBM in positive cases), and all groups completed six rounds of assessments. The smartphone-based IBM training changed positive and negative endorsements and more specific measures of interpretation bias, thus reducing anxiety. The results also showed that changes in the number of negative interpretations played a mediating role in anxiety reduction. It is notable that the attrition rate was extremely low across the experiment. Our follow-up showed that positive gains persisted throughout the intervening period. Smartphone-based IBM can help individuals with anxiety shift negative biases, broaden their thoughts, enhance their information processing, and effectively target the clinical features of anxiety.

Social rejection sensitivity and its role in adolescent emotional disorder symptomatology

BACKGROUND

Most emotional disorders first emerge during adolescence, a time characterized by heightened sensitivity to social information, especially social rejection. Social rejection sensitivity (SRS), then, may be a promising intervention target.

METHODS

To explore this, 357 participants (M (SD) age = 19.40 (4.18), 63% female) completed self-report measures of SRS, its proposed antecedent, perceived parenting style, its proposed behavioral correlate, negative interpretation bias, and its proposed  clinical correlate, emotional disorder symptoms. Participants additionally completed a single session of a social interpretation bias modification task, the ambiguous social scenarios task (ASST).

RESULTS

SRS was associated with perceived parental rejection, while controlling for other types of maladaptive parenting. SRS partially accounted for variance in the relationship between perceived parental rejection and emotional disorder symptomatology, as well as the relationship between negative interpretation bias and emotional disorder symptoms. Learning rates (i.e., change in reaction time across the task) on the ASST differed as a function of age and SRS, such that younger participants with higher SRS showed the slowest rate of learning. Moreover, individual differences in SRS accounted for the magnitude of change in negative interpretation bias before and after the ASST. Individuals with greater SRS showed less change in interpretation bias.

CONCLUSIONS

SRS appears strongly associated with emotional disorder symptoms in adolescents. Importantly, SRS was associated with the malleability of negative interpretation bias, which may help account for the mixed findings on the effectiveness of interpretation-bias-modification-paradigms in adolescents.

Psychological Processes Associated With Resilience in UK-Based Unpaid Caregivers During the COVID-19 Pandemic

Background

Unpaid caregivers have faced and dealt with additional challenges during the COVID-19 pandemic. Understanding the psychological processes associated with their resilience is warranted. The objective of this study was to examine the associations between resilience with mental distress, emotion regulation strategies (i.e., reappraisal and suppression) and interpretation bias in adult caregivers.

Method

Participants were living in the UK, aged 18+, and consisted of 182 unpaid caregivers of an adult aged 18+ living with a long-term health condition, and 120 non-caregivers. Data were collected in an online study during the first national UK COVID-19 lockdown (May and September 2020). Hierarchical multiple regression analyses explored whether emotion regulation strategies and interpretation bias explained unique variance in levels of resilience in caregivers whilst controlling for anxiety and depression.

Results

Compared to non-caregivers, caregivers reported higher levels of anxiety, depression, negative interpretation bias and lower levels of resilience. Emotion regulation strategies did not differ between groups. Within caregivers, greater resilience was associated with lower mood disturbance, a positive interpretation bias, and greater use of cognitive reappraisal and lower use of suppression strategies to regulate emotions. Emotion regulation and interpretation bias together predicted an additional 15% of variance in current levels of resilience.

Conclusion

Our findings indicate that psychological mechanisms such as emotion regulation strategies, particularly reappraisal, and interpretation bias are associated with resilience in caregivers. Although preliminary, our findings speak to exciting clinical possibilities that could form the target of interventions to improve resilience and lower mental distress in unpaid caregivers.

A Pilot Feasibility Open Trial of an Interpretation Bias Intervention for Parents of Anxious Children

Interpretation bias is a transdiagnostic mechanism underlying anxiety. Theoretical models highlight the role of parental interpretation bias in predicting and maintaining child anxiety. However, very few studies have examined parent interpretation bias as a treatment target. The current pilot study tested the feasibility and acceptability of an interpretation bias intervention delivered by a smartphone app, called HabitWorks, in parents of anxious children who self-reported at least mild symptoms of anxiety and negative interpretation bias. Parents of anxious youth (ages 8 to 16) were recruited from the waitlists of three child anxiety clinics. They were asked to complete interpretation modification exercises via the HabitWorks app 3 times per week for 1 month. Participants completed assessments at pre- and post-intervention and 1-month follow-up to assess changes in interpretation bias, anxiety symptoms, and overall perceptions of HabitWorks. Participants (N=14) (Mage=44.36; 14.29% men, 85.71% women) completed an average of 13.29 exercises out of the 12 prescribed. Acceptability ratings were high. Interpretation bias, as measured by an assessment version of the intervention exercise, significantly improved from pre- to posttreatment, and these improvements were maintained at the 1-month follow-up. Anxiety symptoms significantly improved from the "mild" severity range to the "none to minimal" range. In this pilot feasibility study in parents of anxious youth, HabitWorks was a feasible and acceptable low-intensity intervention. These preliminary results support a future controlled trial of HabitWorks for parents. Future studies are also needed to test whether targeting interpretation bias in parents has downstream effects on maladaptive parent behaviors and ultimately, child interpretation bias and anxiety.

A Single-Session Online Cognitive Bias Modification of Interpretations Modified for Adults With Anxiety and Depressive Symptoms

Anxiety and depression are common, co-occurring, and costly mental health disorders. Cognitive bias modification aims to modify biases to reduce associated symptoms. Few studies have targeted multiple biases associated with both anxiety and depression, and those that have lacked a control condition. This study piloted a single-session online cognitive bias modification (known as CBM-IA) designed to target two biases associated with anxiety and depression-interpretation bias and attribution style-in adults with varying levels of anxiety and depressive symptoms. Participants (18-26 years) with at least mild levels of anxiety/stress and depressive symptoms on the DASS-21 were randomly allocated to an intervention (n = 23) or a control (n = 22) condition. The training consisted of a single-session online CBM-IA to encourage positive interpretations and a positive attribution style. Interpretation bias, attribution style, anxious and depressive mood states, and anxiety, stress and depressive symptoms improved at posttraining and at follow-up, irrespective of condition. Changes in interpretation bias from pre- to posttraining were significantly associated with changes in anxious mood state. CBM-IA, as implemented in this single-session pilot study, did not significantly reduce targeted biases and symptoms compared to a control condition. This adds to the mixed evidence on the efficacy of single-session CBM-I for altering biases and symptoms.

Gamification of cognitive bias modification for interpretations in anxiety increases training engagement and enjoyment

BACKGROUND AND OBJECTIVES

Interpretation bias plays a crucial role in anxiety. To test the causal role and potential clinical benefits, training procedures were developed to experimentally change interpretation bias. However, these procedures are monotonous and plain, which could negatively affect motivation and adherence. The aim of this study was to make the interpretation training more engaging and enjoyable, without compromising its effectiveness, through gamification.

METHODS

The training was gamified by including extrinsically and intrinsically motivating elements such as points, scores, time-pressure, fun and adaptive elements (training at an individually challenging level). A 2 (Type: Gamified vs. Standard) x 2 (Training Valence: Positive vs. Placebo) between-subjects design was used with random allocation of 79 above-average anxious individuals. Post-training, we assessed the liking and recommendation of the training task, interpretation bias (Recognition task and the Scrambled Sentence Task) and anxiety.

RESULTS

Participants experienced the gamified training tasks as more engaging and enjoyable than the standard tasks, although it was not recommend more to fellow-students. Both positive training conditions (gamified and standard) were successful in eliciting a positive interpretation bias when assessed with the Recognition task, while only the standard positive training impacted on interpretations when assessed with the Scrambled Sentence Task. No differential effects were observed on anxiety.

LIMITATIONS

The study involved only a single-session training and participants were selected for high trait (and not social) anxiety.

CONCLUSIONS

The gamified training was evaluated more positively by the participants, while maintaining the effectiveness of eliciting positive interpretations when assessed with the Recognition task. This suggests that gamification might be a promising new approach.

A Randomized Test of Interpretation Bias Modification for Perfectionism Versus Guided Visualization Relaxation Among High Perfectionistic Undergraduate Students

Clinical perfectionism contributes to the onset and maintenance of multiple psychological concerns. We conducted a randomized, longitudinal test of the efficacy of a web-based intervention for perfectionism (specifically, cognitive bias modification, interpretation retraining; CBM-I), compared to an active treatment comparison condition (specifically, guided visualization relaxation training) for reducing perfectionism and related psychopathology. College students (N = 167) with elevated perfectionism were randomized to one of the two study conditions and were asked to complete their assigned intervention twice weekly for 4 weeks. Participants completed measures of perfectionism and psychological symptoms at baseline, 2 weeks (midway through the intervention period), 4 weeks (at the conclusion of the intervention period), and 8 weeks (1 month follow-up). CBM-I was rated as acceptable overall, though relaxation training was rated slightly more favorably. CBM-I outperformed relaxation training on improving perfectionism-relevant interpretation biases (i.e., increasing nonperfectionistic interpretations and decreasing perfectionistic interpretations), though with small effect sizes and inconsistency across study timepoints. Self-reported perfectionism showed small decreases across time in both intervention conditions. Support was found for a key hypothesized mechanism of CBM-I, such that randomization to CBM-I had a longitudinal, indirect effect on decreasing psychopathology symptom scores through improving perfectionism-relevant interpretation biases. However, in light of small effect sizes, the present study failed to provide compelling evidence that CBM-I for perfectionism contributes meaningfully to the treatment of perfectionism.

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.

A systematic review of the literature on interpretation bias and its physiological correlates

An important, yet under-explored area of interpretation bias research concerns the examination of potential physiological correlates and sequalae of this bias. Developing a better understanding of the physiological processes that underpin interpretation biases will extend current theoretical frameworks underlying interpretation bias, as well as optimising the efficacy of cognitive bias modification for interpretation (CBM-I) interventions aimed at improving symptoms of emotional disorders. To this end, systematic searches were conducted across the Web of Science, PsycInfo and Pubmed databases to identify physiological markers of interpretation bias. In addition, grey literature database searches were conducted to compliment peer-reviewed research and to counter publication bias. From a combined initial total of 898 records, 15 studies were included in qualitative synthesis (1 of which obtained from the grey literature). Eligible studies were assessed using a quality assessment tool adapted from the Quality Checklist for Healthcare Intervention Studies. The searches revealed seven psychophysiological markers of interpretation bias, namely event-related potentials, heart rate and heart rate variability, respiratory sinus arrythmia, skin conductance response, pupillometry, and electromyography. The respective theoretical and practical implications of the research are discussed, followed by recommendations for future research.

Changing Metacognitive Appraisal Bias in High-Worriers Through Reappraisal Training

Background and Objectives

Worry-related negative metacognitive beliefs about worrying maintain and predict pathological worry. For the current proof-of-principle study, we developed a computerized cognitive bias modification based—reappraisal training (RT), to modify the appraisal of negative metacognitive beliefs in a high-worrying sample. A functional and dysfunctional RT were pitted against each other to investigate whether appraisals of one’s thinking and coping changed following training. Moreover, training effects on the number of negative thoughts and interpretations of the worry content were examined.

Methods

Participants (N = 81) were trained to adopt a functional (disconfirmation of negative metacognitive beliefs) or dysfunctional (confirmation of negative metacognitive beliefs) appraisal style using a series of vignettes that had to be completed in line with the intended training direction. Changes in negative thoughts from pre- to post-RT were assessed with a behavioral state worry task, and transfer to interpretations with an open-ended stem sentence task.

Results

Findings support the use of the RT to alter a metacognitive appraisal bias, as participants receiving the functional RT reported fewer negative appraisals of one’s thinking and coping than participants in the dysfunctional RT group. Number of negative thoughts and interpretations were not directly affected by training.

Limitations

This study employed an analog sample and future research should replicate findings in a clinical sample for which negative metacognitions are more relevant.

Conclusions

These findings highlight the potential of metacognitive RT for future translational studies with (clinical) samples characterized by repetitive negative thinking and/or negative metacognitive beliefs.

Feasibility and Acceptability of Cognitive Bias Modification for Interpretation as an Adjunctive Treatment for OCD and Related Disorders: A Pilot Randomized Controlled Trial

Cognitive models implicate interpretation bias in the development and maintenance of obsessive compulsive and related disorders (OCRDs), and research supports Cognitive Bias Modification for Interpretation (CBM-I) in targeting this mechanism. However, prior studies in OCRDs have been limited to nonclinical populations, adolescents, and adults in a laboratory setting. This study evaluated the feasibility and acceptability of CBM-I as an adjunctive intervention during intensive/residential treatment (IRT) for adults with OCRDs. We modified a lab-based CBM-I training for adults seeking IRT for OCRDs, and conducted a feasibility trial (N = 4) and subsequent pilot RCT; participants (N = 31) were randomized to receive CBM-I or psychoeducation. Benchmarks were met for feasibility, acceptability, and target engagement. From pre- to post-intervention, the CBM-I group showed a large effect for change in interpretation bias (d = .90), whereas this effect was trivial (d = .06) for psychoeducation. This was the first study to evaluate CBM-I in naturalistic treatment for adults seeking IRT for OCRDs. Findings support the feasibility and acceptability of CBM-I in this novel sample and setting. A larger scale RCT is needed to determine whether CBM-I can enhance OCRD treatment response.

Development of a gamified cognitive training app “Social Brain Train” to enhance adolescent mental health: a participatory design study protocol

Background: Adolescence is a sensitive period for the onset of mental health disorders. Effective, easy-to-disseminate, scalable prevention and early interventions are urgently needed. Affective control has been proposed as a potential target mechanism. Training affective control has been shown to reduce mental health symptoms and improve emotion regulation. However, uptake and adherence to such training by adolescents has been low. Thus, the current study aims to receive end user (i.e., adolescents) feedback on a prototype of a novel app-based gamified affective control training program, the Social Brain Train. Methods: The proposed study aims to recruit participants aged 13-16 years old (N = 20) to provide user feedback on the Social Brain Train app. The first group of participants (n = 5) will complete an online questionnaire assessing demographics, symptoms of depression and anxiety, social rejection sensitivity and attitudes toward the malleability of cognition and mental health. They will complete two tasks assessing cognitive capacity and interpretation bias. Participants will be then be invited to an online group workshop, where they will be introduced to the app. They will train on the app for three days, and following app usage, participants will complete the aforementioned measures again, as well as provide ratings on app content, and complete a semi-structured interview to obtain in-depth user feedback, which will be used to inform modifications to the app. Following these modifications, a second group of participants (n = 15) will follow the same procedure, except they will train on the app for 14 days. Feedback from both groups of participants will be used to inform the final design. Conclusions: By including young people in the design of the Social Brain Train app, the proposed study will help us to develop a novel mental health intervention that young people find engaging, acceptable, and easy-to-use

A Randomized Controlled Trial of Computerized Interpretation Bias Training for Disruptive Mood Dysregulation Disorder: A Fast-Fail Study

OBJECTIVE

To examine targeted, mechanism-based interventions is the next generation of treatment innovation. Biased threat labeling of ambiguous face emotions (interpretation bias) is a potential behavioral treatment target for anger, aggression, and irritability. Changing biases in face-emotion labeling may improve irritability-related outcomes. Here, we report the first randomized, double-blind, placebo-controlled targeted trial of interpretation bias training (IBT) in youths with chronic, severe irritability.

METHOD

Patients with current disruptive mood dysregulation disorder (DMDD; N = 44) were randomly assigned to complete 4 sessions of active (n = 22) or sham (n = 22) computerized IBT training within a 1-week period. The first and last trainings were completed onsite, and 2 trainings were completed at home. We examined the effects of active IBT on labeling bias, primary outcome measures of irritability, and secondary outcome measures of anxiety, depression, and functional impairment. Follow-up assessments were completed immediately after the intervention as well as 1 and 2 weeks later.

RESULTS

We found that active IBT engaged the behavioral target in the active relative to the sham condition, as shown by a significant shift toward labeling ambiguous faces as happy. However, there was no consistent clinical improvement in active IBT relative to the sham condition either immediately after or 2 weeks after training in either the primary or secondary outcome measures.

CONCLUSION

Although this randomized controlled trial of IBT in youths with DMDD engaged the proposed behavioral target, there was no statistically significant improvement on clinical outcome. Identifying and changing behavioral targets is a first step in novel treatment development; these results have broader implications for target-based intervention development.

CLINICAL TRIAL REGISTRATION INFORMATION

Psychological Treatments for Youth With Severe Irritability; https://clinicaltrials.gov/; NCT02531893.

Disentangling the mediating role of modifying interpretation bias on emotional distress using a novel cognitive bias modification program

BACKGROUND

Negative interpretation bias is a potential risk factor for emotional disorders. In this study, we tested a clinically inspired 4-session online Cognitive Bias Modification-Interpretation (CBM-I_Clin) program to modify negative interpretation biases.

METHODS

We randomized one hundred and twenty-one volunteer young adults (Mean age = 21.6 years, SD = 3.5; 85 % women) with varying levels of emotional distress to either an experimental or waitlist control group. Mediation analyses were used to disentangle the associations between the intervention, changes in interpretation biases (assessed by both a self-report and an experimental task), and changes in measures of cognitive vulnerability and symptoms of depression and anxiety.

RESULTS

The results showed that the CBM-I_Clin could change negative interpretation biases. Also, it had a direct effect on the change in negative memory bias, an indirect effect on the change in depression symptoms via the change in interpretation bias, and both direct and indirect effects on the change in self-reported dysfunctional attitudes.

LIMITATIONS

The study included a non-clinical sample of participants and it did not control for some potential confounding factors (e.g., attentional disorders). Furthermore, participants' engagement during the sessions at home was not supervised.

CONCLUSIONS

The CBM-I_Clin is a potential tool to prevent and intervene in emotional disorders in young adults and could complement other traditional CBM procedures or clinical interventions.

Negative bias in interpretation and facial expression recognition in late life depression: A case control study

OBJECTIVES

While cognitive bias in younger adults with depression has been extensively researched, there have been relatively few investigations of the presence of cognitive bias in late life depression (LLD). This exploratory study aimed to ascertain whether negative cognitive bias exists across a range of cognitive domains in participants with LLD.

METHODS/DESIGN

Participants were 19 patients with LLD and 19 matched non-depressed older adults. Participants completed standardised tests to assess bias in facial expression recognition, attention, recall of adjectives and interpretation.

RESULTS

LLD participants were slower to identify surprised faces, and more likely to create negative statements in the interpretation task. There was no evidence of negative bias in memory or attention, but participants with LLD performed more poorly on the recall task.

CONCLUSIONS

This study provides new evidence of negative bias in interpretation in LLD, but the findings are not consistent with a global cognitive bias Further work is needed to investigate cognitive bias in LLD. It may be that interventions which target negative interpretation biases, such as cognitive bias modification, could be helpful in treating LLD.

Adapting cognitive bias modification to train healthy prospection

Prospection, the mental simulation of future events, has been theoretically linked to physical and mental health. Prior studies have found that prospection is malleable; however, no research to our knowledge has tested whether a scalable intervention explicitly targeting the simulation of positive future outcomes can lead to more generalized positive prospection, and enhance positive outlook and reduce distress. The current study tested a novel, web-based cognitive bias modification for interpretation (CBM-I) program designed to shift prospective bias towards more positive (as opposed to negative) representations of future outcomes among 172 participants selected for having a relatively negative baseline expectancy bias. Results showed that following CBM-I, participants in active training conditions exhibited more positive expectations about the future, and increased self-efficacy and growth mindset. Also, optimism increased and depression and anxiety symptoms decreased following active training, but this also occurred for the control condition. Analyses did not suggest that changes in positive expectations mediated changes in positive outlook outcomes. Results suggest that an online prospection intervention can lead to more positive expectations about future events and improve positive outlook, though open questions remain about what accounts for the training effects.

'Relearning how to think': A brief online intervention to modify biased interpretations in emotional disorders-study protocol for a randomised controlled trial

Background

Cognitive biases play an important role in the development and maintenance of emotional disorders, such as depression and anxiety. Novel procedures, known as Cognitive Bias Modification (CBM), aim to reduce these dysfunctional information processing modes. This study develops a brief clinically based online intervention programme to modify biased interpretations in depression and anxiety (CBM-I_Clin), overcoming some methodological issues that have been addressed in previous literature.

Methods

Volunteer participants will be recruited via social media and posters at the university. They will be randomly assigned to an experimental group or a waiting list control group. Both groups will complete two assessment sessions (before and after the intervention) consisting of questionnaires measuring cognitive and emotional variables as well as experimental tasks measuring cognitive biases (i.e. attention, memory, and interpretation). After the first assessment session, only participants in the experimental group will receive a link to follow the four CBM-I_Clin sessions at home. All participants will receive, via email, follow-up questionnaires 2 weeks and 3 months after the second assessment.

Discussion

This study will test the 'Relearning how to think', an online programme potentially beneficial to modify cognitive biases in emotional disorders. Several limitations of previous CBM procedures are addressed, and the impact of the programme both on objective cognitive bias tasks and clinical symptoms will be explored.

Trial registration

ClinicalTrials.gov NCT03987477. Prospectively registered on June 17, 2019

Efficacy of the Chinese version interpretation bias modification training in an unselected sample: A randomized trial

Training individuals to interpret ambiguous information in positive ways might be an effective method of reducing social anxiety. However, little research had been carried out in Chinese samples, and the effect of interpretation training on other processes such as attentional bias also remained unclear. This study examined the effect of interpretation bias modification program (IMP) on interpretation bias, social anxiety and attentional bias, and the possible mediation effects. 51 healthy adults were randomly assigned to either a 5-session IMP training that guided them to endorse benign interpretation in ambiguous scenarios or an interpretation control condition (ICC). Self-reported measures of social anxiety symptoms, attentional bias and interpretation bias were evaluated before and after training. Results showed that compared to control group, IMP group generated more positive interpretations and less negative interpretations after training (F(1,49) = 7.65, p<0.01, ηp2 = 0.14; F(1,49) = 14.60, p<0.01, ηp2 = 0.23respectively). IMP yielded greater interpretation bias reduction (F(1,49) = 12.84, p<0.01, ηp2 = 0.21) and social anxiety reduction (F(1,49) = 21.39, p<0.01, ηp2 = 0.30) than ICC, but change in attentional bias was not significant between IMP and the control group. Change in interpretation bias did not show a significant mediation effect in the relationship between training condition and social anxiety reduction. This study provided preliminary evidence for the efficacy of the Chinese version of IMP training. Possible methodological issues and interpretations underlying the findings were discussed. This study was registered in Chinese Clinical Trial Registry (www.chitr.org.cn), a WHO approved registry. The title of registration trial was "A Study on the efficiency of cognitive bias and attentional bias training on fear and phobia" and the registration number was ChiCTR2100045670.

Neurocognitive mechanisms underlying improvement of prosocial responses by a novel implicit compassion promotion task

Compassion is closely associated with prosocial behavior. Although there is growing interest in developing strategies that cultivate compassion, most available strategies rely on effortful reflective processes. Furthermore, few studies have investigated neurocognitive mechanisms underlying compassion-dependent improvement of prosocial responses. We devised a novel implicit compassion promotion task that operates based on association learning and examined its prosocial effects in two independent experiments. In Experiment 1, healthy adults were assigned to either the compassion or control group. For the intervention task, the compassion group completed word fragments that were consistently related to compassionate responses toward others; in contrast, the control group completed word fragments related to emotionally neutral responses toward others. Following the intervention task, we measured attentional biases to fearful, sad, and happy faces. Prosocial responses were assessed using two measures of helping: the pen-drop test and the helping intentions rating test. In Experiment 2, independent groups of healthy adults completed the same intervention tasks used in Experiment 1. Inside a functional MRI scanner, participants rated empathic care and distress based on either distressful or neutral video clips. Outside the scanner, we assessed the degree of helping intentions toward the victims depicted in the distressful clips. The results of Experiment 1 showed that the compassion promotion task reduced attentional vigilance to fearful faces, which in turn mediated a compassion promotion task-dependent increase in helping intentions. In Experiment 2, relative to the control group, the compassion group showed reduced empathic distress and increased activity in the medial orbitofrontal cortex in response to others' suffering. Furthermore, increased functional connectivity of the medial orbitofrontal and inferior parietal cortex, predicted by reduced empathic distress, explained the increase in helping intentions. These results suggest the potential of implicit compassion promotion intervention to modulate compassion-related and prosocial responses as well as highlight the brain activation and connectivity related to these responses, contributing to our understanding of the neurocognitive mechanisms underlying compassion-dependent prosocial improvement.

Using Neuroscience to Augment Behavioral Interventions for Depression

Depression is both prevalent and costly, and many individuals do not adequately respond to existing psychopharmacological and behavioral interventions. The current article describes the use of neuroscience in augmenting behavioral interventions for depression in two primary areas: anhedonia and cognitive deficits/biases. Neuroscience research has increased our understanding of the neural bases of reward processing and regulation of positive affect, and anhedonia among depressed samples can be related to deficits in each of these domains. Treatments that specifically target reward processing and regulation of positive affect in order to reduce anhedonia represent a recent advance in the field. Depression is also associated with aberrant processes relating to working memory, autobiographical memory, attentional bias, and interpretive bias. Neuroscience findings have increasingly been leveraged to augment the efficacy of cognitive-training and bias-modification interventions in these domains. The use of neuroscience to inform the development and augmentation of behavioral interventions for depression is a promising avenue of continued research.

Personalized cognitive training: Protocol for individual-level meta-analysis implementing machine learning methods

Accumulating evidence suggests that cognitive training may enhance well-being. Yet, mixed findings imply that individual differences and training characteristics may interact to moderate training efficacy. To investigate this possibility, the current paper describes a protocol for a data-driven individual-level meta-analysis study aimed at developing personalized cognitive training. To facilitate comprehensive analysis, this protocol proposes criteria for data search, selection and pre-processing along with the rationale for each decision. Twenty-two cognitive training datasets comprising 1544 participants were collected. The datasets incorporated diverse training methods, all aimed at improving well-being. These training regimes differed in training characteristics such as targeted domain (e.g., working memory, attentional bias, interpretation bias, inhibitory control) and training duration, while participants differed in diagnostic status, age and sex. The planned analyses incorporate machine learning algorithms designed to identify which individuals will be most responsive to cognitive training in general and to discern which methods may be a better fit for certain individuals.

Neural correlates of cognitive bias modification for interpretation

The effectiveness of cognitive bias modification for interpretation (CBM-I), a treatment method employed to reduce social anxiety (SA), has been examined. However, the neural correlates of CBM-I remain unclear, and we aimed to elucidate brain activities during intervention and activity changes associated with CBM-I effectiveness in a pre–post intervention comparison. Healthy participants divided into two groups (CBM, control) were scanned before, during and after intervention using functional magnetic resonance imaging. Ambiguous social situations followed by positive outcomes were repeatedly imagined by the CBM group during intervention, while half of the outcomes in the control group were negative. Whole-brain analysis revealed that activation of the somatomotor and somatosensory areas, occipital lobe, fusiform gyrus and thalamus during intervention was significantly greater in the CBM than in the control group. Furthermore, altered activities in the somatomotor and somatosensory areas, occipital lobe and posterior cingulate gyrus during interpreting ambiguous social situations showed a significant group × change in SA interaction. Our result suggests that when facing ambiguous social situations, positive imagery instilled by CBM-I is recalled, and interpretations are modified to contain social reward. These findings may help to suggest an alternative manner of enhancing CBM-I effectiveness from a cognitive-neuroscience perspective.

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.

Effects of cognitive bias modification for interpretation on hostile interpretation bias and self-reported aggression in juvenile delinquents

BACKGROUND/OBJECTIVE

The social information processing model holds that aggressive behavior is closely related to the hostile interpretation of ambiguous social cues, suggesting the possibility that an intervention that reduces hostile interpretations could reduce aggression. This study in Mainland China evaluated the remediating effects of cognitive bias modification for interpretation (CBM-I) on the hostile interpretation bias and self-reported aggressive behaviors of male juvenile delinquents, taking into account initial hostile interpretation bias as a possible moderator of the intervention effect.

METHOD

Fifty-six male juvenile delinquents aged 16-18 were recruited and randomly assigned to the CBM-I group (n = 28) or the Waiting-List group (n = 28). Interpretation bias and self-reported aggressive behavior were assessed at pre-test and post-test.

RESULTS

The positive interpretations of participants in the CBM-I group were significantly increased compared with participants in the Waiting-List group. The intervention effect of CBM-I on self-reported physical aggression was significant only for juvenile delinquents with high pre-test hostile interpretation bias.

CONCLUSIONS

CBM-I can significantly improve the positive interpretation bias of juvenile delinquents, and reduce the self-reported physical aggression for some male juvenile delinquents. The results have implications for providing low-cost and high-efficiency intervention for juvenile delinquents' self-reported aggression behavior.

Examining the effectiveness of cognitive bias modification for perfectionism in exploration of the mediating and moderating effects of body dissatisfaction and self-efficacy

The relationship between perfectionism, body dissatisfaction, and self-efficacy is unclear. This study attempted to distinguish the relationship between different dimensions of perfectionism and to examine how they relate to body dissatisfaction and self-efficacy. Experiment 1 examined the effectiveness of two types of Cognitive Bias Modification for Interpretation (CBM-I) techniques in the induction of perfectionism. Experiment 2 explored the mediation and moderation effects of perfectionism facets, body dissatisfaction, and self-efficacy in the induction of perfectionism. Participants were randomly assigned to one of the four CBM-I conditions and completed self-report measures of trait and state perfectionism, body dissatisfaction, self-efficacy, as well as a behavioural task that assessed perfectionistic behaviours before and after the CBM-I induction. The results indicated no significant differences in perfectionism between the experimental groups and the control groups following the perfectionism induction. Using baseline participant characteristics, body dissatisfaction was found to mediate socially-prescribed perfectionism and self-efficacy. Self-oriented perfectionism moderated the association between body dissatisfaction and self-efficacy. State perfectionism may not be influenced by a single session (30 trials) of CBM-I training. Treatment targeting body dissatisfaction may enhance self-efficacy in socially-prescribed perfectionists. Further, interventions that decrease self-oriented perfectionism may reduce body dissatisfaction while increasing self-efficacy.

HabitWorks: Development of a CBM-I Smartphone App to Augment and Extend Acute Treatment

The month following discharge from acute psychiatric care is associated with increased risk of relapse, rehospitalization, and suicide. Effective and accessible interventions tailored to this critical transition are urgently needed. Cognitive bias modification for interpretation (CBM-I) is a low-intensity intervention that targets interpretation bias, a transdiagnostic process implicated in the development and maintenance of emotional disorders. We describe the development of a CBM-I smartphone app called HabitWorks as an augmentation to acute care that extends through the high-risk month postdischarge. We first obtained input from various stakeholders, including adults who had completed partial hospital treatment (patient advisory board), providers, CBM experts, and clinic program directors. We then iteratively tested versions of the app, incorporating feedback over three waves of users. Participants were recruited from a partial hospital program and completed CBM-I sessions via the HabitWorks app while attending the hospital program and during the month postdischarge. In this Stage 1A treatment development work, we obtained preliminary data regarding feasibility and acceptability, adherence during acute care, and target engagement. Pilot data met our a priori benchmarks. While adherence during acute treatment was good, it decreased during the postacute period. Qualitative feedback was generally positive and revealed themes of usability and helpfulness of app features. Participants varied in their perception of skill generalization to real-life situations. The feasibility and acceptability data suggest that a controlled trial of HabitWorks is warranted.

Interpretation Bias Across Body Dysmorphic, Social Anxiety and Generalized Anxiety Disorder—A Multilevel, Diffusion Model Account

Background

Interpretation biases are suggested to be transdiagnostic phenomena, but have rarely been compared across different disorders and current concerns.

Methods

We investigated explicit, decision-based, and more implicit, reaction time-based interpretation bias in individuals with body dysmorphic disorder (BDD; N = 29), social anxiety disorder (SAD; N = 36), generalized anxiety disorder (GAD; N = 22), and non-clinical controls (NC; N = 32), using an adapted Word Sentence Association Paradigm (WSAP).

Results

Results indicated that interpretation bias occurred transdiagnostically, while content-specific bias patterns varied meaningfully across groups. BDD and SAD shared explicit and, more inconsistently, implicit interpretation biases for appearance-related and social situations. The GAD group exhibited an explicit and implicit negative interpretation bias for general situations, and an additional implicit lack of positive bias. Mechanistic Wiener diffusion model analyses revealed that interpretation bias patterns were mainly driven by speeded information uptake, potentially mirroring disorder-specific associative memory organization.

Conclusions

These findings have important implications for understanding interpretation biases as both etiological and treatment factors.

Acceptability and Co-Development of an Online Cognitive Bias Modification Intervention for Emerging Adults With Hazardous Alcohol Use and Social Anxiety: A Mixed Methods Study

BACKGROUND

Approach bias modification (ApBM) and interpretation bias modification (IBM) are two promising adjunct treatments for alcohol use and social anxiety, respectively. However, the acceptability of combining ApBM and IBM into one program for people who experience both of these disorders is unknown. The present study describes the codevelopment of a new, hybrid ApBM + IBM program and provides insight into the perceptions of acceptability from service providers and emerging adults.

METHODS

Service providers (n = 14) and emerging adults aged 18 to 25 years with lived experience of hazardous alcohol use and heightened social anxiety (n = 15) were recruited via online advertisements and through existing networks. All participants were shown a beta version of the program and asked to complete qualitative and quantitative questions to ascertain feedback on the program's acceptability and suggestions for improvement.

RESULTS

Themes emerged relating to the ApBM + IBM program's quality and usefulness, appropriateness, motivation and engagement, and potential clinical value. The program was well received and deemed acceptable for the target age group. It was rated particularly highly with regard to the overall quality and ease of use. Emerging adults had fewer suggestions for how the intervention might be revised; however, there were suggestions from both groups regarding the need for a compelling rationale at the outset of treatment and a suggestion to include a motivational interviewing and psychoeducational-based module prior to the first training session, to increase user buy-in and engagement.

CONCLUSIONS

The current findings reflect positively on the acceptability of a hybrid ApBM + IBM for emerging adults with co-occurring hazardous alcohol use and social anxiety. Service providers and emerging adults identified a number of ways to improve the design and implementation of the program, which will likely improve adherence to, and outcomes of, the intervention when added as an adjunct to treatment as usual.

Cognitive bias modification to prevent depression (COPE): results of a randomised controlled trial

BACKGROUND

Although efficacious treatments for major depression are available, efficacy is suboptimal and recurrence is common. Effective preventive strategies could reduce disability associated with the disorder, but current options are limited. Cognitive bias modification (CBM) is a novel and safe intervention that attenuates biases associated with depression. This study investigated whether the delivery of a CBM programme designed to attenuate negative cognitive biases over a period of 1 year would decrease the incidence of major depression among adults with subthreshold symptoms of depression.

METHODS

Randomised double-blind controlled trial delivered an active CBM intervention or a control intervention over 52 weeks. Two hundred and two community-dwelling adults who reported subthreshold levels of depression were randomised (100 intervention, 102 control). The primary outcome of interest was the incidence of major depressive episode assessed at 11, 27 and 52 weeks. Secondary outcomes included onset of clinically significant symptoms of depression, change in severity of depression symptoms and change in cognitive biases.

RESULTS

Adherence to the interventions was modest though did not differ between conditions. Incidence of major depressive episodes was low. Conditions did not differ in the incidence of major depressive episodes. Likewise, conditions did not differ in the incidence of clinically significant levels of depression, change in the severity of depression symptoms or change in cognitive biases.

CONCLUSIONS

Active CBM intervention did not decrease the incidence of major depressive episodes as compared to a control intervention. However, adherence to the intervention programme was modest and the programme failed to modify the expected mechanism of action.

A Critical Review of Studies Assessing Interpretation Bias Towards Social Stimuli in People With Eating Disorders and the Development and Pilot Testing of Novel Stimuli for a Cognitive Bias Modification Training

People with eating disorders display a negative interpretation bias towards ambiguous social stimuli. This bias may be particularly relevant to young people with the illness due to the developmental salience of social acceptance and rejection. The overall aim of this study was to systematically develop and validate stimuli for a cognitive bias modification training to reduce a social rejection-related negative interpretation bias in young people with eating disorders. A mixed-methods design was used to achieve this aim. A review of the literature was conducted using EMBASE, MEDLINE, PsycINFO, Web of Science, and PubMed. Six studies were included in the review. Focus groups were held with patients with eating disorders, carers and healthcare professionals. Content analysis was used to identify key themes from the qualitative data. Based on these themes, a total of 339 scenarios were generated by the researchers. Salient themes identified from the focus group data included virtual rejection/exclusion, rejection associated with an aspect of the eating disorder, rejection triggered by ambiguous/benign comments or behaviors of others and rejection perceived when confiding in others. Patients rated these scenarios in terms of their age-relevance and emotional salience and 301 scenarios were included in the final stimulus set. These materials may be used by researchers conducting future experimental research into the potential benefits of interpretation bias training for young people with eating disorders.