A Pilot Study of an Adaptive, Idiographic, and Multi-Component Attention Bias Modification Program for Social Anxiety Disorder

Gamified Adaptive Approach Bias Modification in Individuals With Methamphetamine Use History From Communities in Sichuan: Pilot Randomized Controlled Trial

Background

Cognitive bias modification (CBM) programs have shown promise in treating psychiatric conditions, but they can be perceived as boring and repetitive. Incorporating gamified designs and adaptive algorithms in CBM training may address this issue and enhance engagement and effectiveness.

objectives

This study aims to gather preliminary data and assess the preliminary efficacy of an adaptive approach bias modification (A-ApBM) paradigm in reducing cue-induced craving in individuals with methamphetamine use history.

Methods

A randomized controlled trial with 3 arms was conducted. Individuals aged 18-60 years with methamphetamine dependence and at least 1 year of methamphetamine use were recruited from 12 community-based rehabilitation centers in Sichuan, China. Individuals with the inability to fluently operate a smartphone and the presence of mental health conditions other than methamphetamine use disorder were excluded. The A-ApBM group engaged in ApBM training using a smartphone app for 4 weeks. The A-ApBM used an adaptive algorithm to dynamically adjust the difficulty level based on individual performance. Cue-induced craving scores and relapses were assessed using a visual analogue scale at baseline, postintervention, and at week-16 follow-up.

Results

A total of 136 participants were recruited and randomized: 48 were randomized to the A-ApBM group, 48 were randomized to the static approach bias modification (S-ApBM) group, and 40 were randomized to the no-intervention control group. The A-ApBM group showed a significant reduction in cue-induced craving scores at postintervention compared with baseline (Cohen d=0.34; P<.01; 95% CI 0.03-0.54). The reduction remained significant at the week-16 follow-up (Cohen d=0.40; P=.01; 95% CI 0.18-0.57). No significant changes were observed in the S-ApBM and control groups.

Conclusions

The A-ApBM paradigm with gamified designs and dynamic difficulty adjustments may be an effective intervention for reducing cue-induced craving in individuals with methamphetamine use history. This approach improves engagement and personalization, potentially enhancing the effectiveness of CBM programs. Further research is needed to validate these findings and explore the application of A-ApBM in other psychiatric conditions.

Multiple Adaptive Attention-Bias-Modification Programs to Alter Normative Increase in the Error-Related Negativity in Adolescents

In the current article, we examined the impact of two home-delivered attentional-bias-modification (ABM) programs on a biomarker of anxiety (i.e., the error-related negativity [ERN]). The ERN is sensitivity to ABM-related changes; however, it is unclear whether ABM exerts its influence on the ERN and anxiety by increasing general attentional control or by disengaging spatial allocation of attention. In this study, we measured the ERN, anxiety, attention bias, and attention control before and after two versions of ABM training and a waitlist control group in 546 adolescents. An ABM designed to increase attention control modulated the ERN but had no impact on anxiety. An ABM designed to reduce attentional bias changed bias and self-reported anxiety in youths but had no impact on the ERN or parent-reported anxiety. These results suggest that the ERN and normative anxiety may be modified using attention training.

Refining the Analysis of Mechanism-Outcome Relationships for Anxiety Treatment: A Preliminary Investigation Using Mixed Models

Although efficacious treatments exist for anxiety disorders, issues remain regarding how best to conceptualize and measure purported change processes in clinical research. In the current study, we examined the relationship between treatment-specific (exposure therapy, attention bias modification [ABM]) as well as more general change processes with symptoms within a transdiagnostic sample using mixed models. Results indicated that slope of self-efficacy across treatment and between-session habituation across identical exposures was associated with slope of symptom change. Although slope of anxiety ratings within session was not associated with slope of symptom change, it did interact with other candidate exposure processes to predict symptoms. Purported ABM change processes were not associated with outcome. Our use of mixed models exemplifies an emerging trend in this research aimed at minimizing loss of data through aggregation, and our results highlight the utility of integrating treatment-specific as well as more general change processes in mechanistic research.

Neural evidence of face processing in social anxiety disorder: A systematic review with meta-analysis

Numerous previous studies have used event-related potentials (ERPs) to examine facial processing deficits in individuals with social anxiety disorder (SAD). However, researchers still need to determine whether the deficits are general or specific and what the dominant factors are behind different cognitive stages. Meta-analysis was performed to quantitatively identify face processing deficits in individuals with SAD. Ninety-seven results in 27 publications involving 1032 subjects were calculated using Hedges' g. The results suggest that the face itself elicits enlarged P1 amplitudes, threat-related facial expressions induce larger P2 amplitudes, and negative facial expressions lead to enhanced P3/LPP amplitudes in SAD individuals compared with controls. That is, there is face perception attentional bias in the early phase (P1), threat attentional bias in the mid-term phase (P2), and negative emotion attentional bias in the late phase (P3/LPP), which can be summarized into a three-phase SAD face processing deficit model. These findings provide an essential theoretical basis for cognitive behavioral therapy and have significant application value for the initial screening, intervention, and treatment of social anxiety.

Time course of attentional bias in social anxiety: Evidence from visuocortical dynamics

Threat-related attentional bias is thought to have a causal influence on the etiology of social anxiety. However, there is uncertainty on whether attention dwells on or diverts away from threats, and the measurements typically utilized to explore attentional bias cannot continuously quantify changes in attention. Here, we used steady-state visual evoked potentials (ssVEPs) as a continuous neurophysiological measure of visual attentional processing to examine the time course of attentional bias in social anxiety. Participants with high (n = 18) and low (n = 18) social anxiety passively viewed two faces flickering at 15 and 20 Hz frequency to evoke ssVEPs, and completed Attentional Control Scale. The results showed that angry faces, as compared to happy and neutral faces, elicited larger ssVEP amplitudes for the time window of 180-500 ms after facial stimuli onset only in the high socially anxious individuals, and the effect extended to the next two periods of 500-1000 ms and 1000-1500 ms. The ssVEP amplitudes differed most when individuals with high social anxiety viewed angry-neutral expression combinations. Additionally, attentional control was negatively correlated with social anxiety and threat-related attentional bias. The results suggested that individuals with social anxiety initially oriented attention toward the threat and subsequently exhibited difficulty in disengaging attention from it, possibly due to impaired attentional control.

Fearful Temperament and the Risk for Child and Adolescent Anxiety: The Role of Attention Biases and Effortful Control

Fearful temperament represents one of the most robust predictors of child and adolescent anxiety; however, not all children with fearful temperament unvaryingly develop anxiety. Diverse processes resulting from the interplay between automatic processing (i.e., attention bias) and controlled processing (i.e., effortful control) drive the trajectories toward more adaptive or maladaptive directions. In this review, we examine the associations between fearful temperament, attention bias, and anxiety, as well as the moderating effect of effortful control. Based on the reviewed literature, we propose a two-mechanism developmental model of attention bias that underlies the association between fearful temperament and anxiety. We propose that the sub-components of effortful control (i.e., attentional control and inhibitory control) play different roles depending on individuals' temperaments, initial automatic biases, and goal priorities. Our model may help resolve some of the mixed findings and conflicts in the current literature. It may also advance our knowledge regarding the cognitive mechanisms linking fearful temperament and anxiety, as well as facilitate the continuing efforts in identifying and intervening with children who are at risk. Finally, we conclude the review with a discussion on the existing limitations and then propose questions for future research.

Individualized Web-Based Attention Training With Evidence-Based Counseling to Address HIV Treatment Adherence and Psychological Distress: Exploratory Cohort Study

BACKGROUND

The prevalence of mood, trauma, and stressor-related disorders is disproportionately higher among people living with HIV than among individuals without the virus. Poor adherence to HIV treatment and heightened psychological distress have been linked to symptoms associated with these disorders.

OBJECTIVE

The objective of this exploratory pilot study was to develop and implement an intervention that combined individualized web-based attention training with evidence-based counseling to promote HIV treatment adherence and reduce psychological distress among people living with HIV. The study targeted African American and Latino young men who have sex with men, two population groups in the US that continue to experience disparities in HIV treatment outcomes.

METHODS

Study participants with elevated symptoms of depression and suboptimal adherence to antiretroviral therapy were recruited primarily through referrals from Los Angeles health and social service providers as well as postings on social media. Participants enrolled in the 4-week intervention received weekly counseling for adherence and daily access to web-based attention training via their personal mobile devices or computers.

RESULTS

Of the 14 participants who began the intervention, 12 (86%) completed all sessions and study procedures. Using a pretest-posttest design, findings indicate significant improvements in adherence, depressive symptoms, and attention processing. Overall, the proportion of participants reporting low adherence to antiretroviral therapy declined from 42% at baseline to 25% at intervention completion (P=.02, phi=0.68). Mean depressive symptoms measured by the 9 item Patient Health Questionnaire (PHQ-9) showed a substantial reduction of 36% (P=.002, Cohen d=1.2). In addition, participants' attentional processing speeds for all types of stimuli pairings presented during attention training improved significantly (P=.01 and P=.02) and were accompanied by large effect sizes ranging from 0.78 to 1.0.

CONCLUSIONS

Our findings support the feasibility of web-based attention training combined with counseling to improve antiretroviral therapy adherence among patients with psychological distress. Future research should include a larger sample, a control group, and longer-term follow-up.

Randomized Controlled Trial Testing Mobile-Based Attention-Bias Modification for Posttraumatic Stress Using Personalized Word Stimuli

Although behavioral therapies are effective for posttraumatic stress disorder (PTSD), access for patients is limited. Attention-bias modification (ABM), a cognitive-training intervention designed to reduce attention bias for threat, can be broadly disseminated using technology. We remotely tested an ABM mobile app for PTSD. Participants (N = 689) were randomly assigned to personalized ABM, nonpersonalized ABM, or placebo training. ABM was a modified dot-probe paradigm delivered daily for 12 sessions. Personalized ABM included words selected using a recommender algorithm. Placebo included only neutral words. Primary outcomes (PTSD and anxiety) and secondary outcomes (depression and PTSD clusters) were collected at baseline, after training, and at 5-week-follow-up. Mechanisms assessed during treatment were attention bias and self-reported threat sensitivity. No group differences emerged on outcomes or attention bias. Nonpersonalized ABM showed greater declines in self-reported threat sensitivity than placebo (p = .044). This study constitutes the largest mobile-based trial of ABM to date. Findings do not support the effectiveness of mobile ABM for PTSD.

Heterogeneity of the Anxiety-Related Attention Bias: A Review and Working Model for Future Research

The anxiety-related attention bias (AB) has been studied for several decades as a clinically-relevant output of the dynamic and complex threat detection-response system. Despite research enthusiasm for the construct of AB, current theories and measurement approaches cannot adequately account for the growing body of mixed, contradictory, and null findings. Drawing on clinical, neuroscience, and animal models, we argue that the apparent complexity and contradictions in the empirical literature can be attributed to the field's failure to clearly conceptualize AB heterogeneity and the dearth of studies in AB that consider additional cognitive mechanisms in anxiety, particularly disruptions in threat-safety discrimination and cognitive control. We review existing research and propose a working model of AB heterogeneity positing that AB may be best conceptualized as multiple subtypes of dysregulated processing of and attention to threat anchored in individual differences in threat-safety discrimination and cognitive control. We review evidence for this working model and discuss how it can be used to advance knowledge of AB mechanisms and inform personalized prevention and intervention approaches.

Efficacy of Attention Bias Training for Child Anxiety Disorders: A Randomized Controlled Trial

A growing evidence base supports attention bias modification (ABM) as a novel intervention for anxiety. However, research has been largely conducted with adults and analogue samples, leaving the impact of ABM for child anxiety be fully elucidated. Thus, we conducted a double-blind, randomized controlled trial testing ABM efficacy versus an attention control condition (CC) in 31 children diagnosed with anxiety disorder. Youth were assigned to 4 weeks of ABM where attention was trained away from threat, or a sham CC in which no bias training occurred. Findings indicate that significantly more youth in the ABM versus CC group were considered treatment responders post training. The ABM versus CC group also demonstrated a greater decrease in anxiety severity, with this difference being marginally significant. Findings lend support for the potential of ABM in reducing youth anxiety. Further work regarding mechanisms of action is warranted to advance ABM research.

Personalizing Affective Stimuli Using a Recommender Algorithm: An Example with Threatening Words for Trauma Exposed Populations

Experimental paradigms used in affective and clinical science often use stimuli such as images, scenarios, videos, or words to elicit emotional responses in study participants. Choosing appropriate stimuli that are highly evocative is essential to the study of emotional processes in both healthy and clinical populations. Selecting one set of stimuli that will be relevant for all subjects can be challenging because not every person responds the same way to a given stimulus. Machine learning can facilitate the personalization of such stimuli. The current study applied a novel statistical approach called a recommender algorithm to the selection of highly threatening words for a trauma-exposed population (N = 837). Participants rated 513 threatening words, and we trained a user-user collaborative filtering recommender algorithm. The algorithm uses similarities between individuals to predict ratings for unrated words. We compared threat ratings for algorithm-based word selection to a random word set, a word set previously used in research, and trauma-specific word sets. Algorithm-selected personalized words were more threatening compared to non-personalized words with large effects (ds = 2.10-2.92). Recommender algorithms can automate the personalization of stimuli from a large pool of possible stimuli to maximize emotional reactivity in research paradigms. These methods also hold potential for the personalization of behavioral treatments administered remotely where a provider is not available to tailor an intervention to the individual. The word personalization algorithm is available for use online (https://threat-word-predictor.herokuapp.com/).

Emotion-in-Motion, a Novel Approach for the Modification of Attentional Bias: An Experimental Proof-of-Concept Study

Background

Individuals with heightened anxiety vulnerability tend to preferentially attend to emotionally negative information, with evidence suggesting that this attentional bias makes a causal contribution to anxiety vulnerability. Recent years have seen an increase in the use of attentional bias modification (ABM) procedures to modify patterns of attentional bias; however, often this change in bias is not successfully achieved.

Objective

This study presents a novel ABM procedure, Emotion-in-Motion, requiring individuals to engage in patterns of attentional scanning and tracking within a gamified, complex, and dynamic environment. We aimed to examine the capacity of this novel procedure, as compared with the traditional probe-based ABM procedure, to produce a change in attentional bias and result in a change in anxiety vulnerability.

Methods

We administered either an attend-positive or attend-negative version of our novel ABM task or the conventional probe-based ABM task to undergraduate students (N=110). Subsequently, participants underwent an anagram stressor task, with state anxiety assessed before and following this stressor.

Results

Although the conventional ABM task failed to induce differential patterns of attentional bias or affect anxiety vulnerability, the Emotion-in-Motion training did induce a greater attentional bias to negative faces in the attend-negative training condition than in the attend-positive training condition (P=.003, Cohen d=0.87) and led to a greater increase in stressor-induced state anxiety faces in the attend-negative training condition than in the attend-positive training condition (P=.03, Cohen d=0.60).

Conclusions

Our novel, gamified Emotion-in-Motion ABM task appears more effective in modifying patterns of attentional bias and anxiety vulnerability. Candidate mechanisms contributing to these findings are discussed, including the increased stimulus complexity, dynamic nature of the stimulus presentation, and enriched performance feedback.

Attentional Bias Modification for Social Anxiety Disorder: What do Patients Think and Why does it Matter?

BACKGROUND

In the past decade, a great deal of research has examined the efficacy and mechanisms of attentional bias modification (ABM), a computerized cognitive training intervention for anxiety and other disorders. However, little research has examined how anxious patients perceive ABM, and it is unclear to what extent perceptions of ABM influence outcome.

AIMS

To examine patient perceptions of ABM across two studies, using a mixed methods approach.

METHOD

In the first study, participants completed a traditional ABM program and received a hand-out with minimal information about the purpose of the task. In the second study, participants completed an adaptive ABM program and were provided with more extensive rationale and instructions for changing attentional biases.

RESULTS

A number of themes emerged from qualitative data related to perceived symptom changes and mechanisms of action, acceptability, early perceptions of the program, barriers/facilitators to engagement, and responses to adaptive features. Moreover, quantitative data suggested that patients' perceptions of the program predicted symptom reduction as well as change in attentional bias.

CONCLUSIONS

Our quantitative data suggest that it may be possible to quickly and inexpensively identify some patients who may benefit from current ABM programs, although our qualitative data suggest that ABM needs major modifications before it will be an acceptable and credible treatment more broadly. Although the current study was limited by sample size and design features of the parent trials from which these data originated, our findings may be useful for guiding hypotheses in future studies examining patient perceptions towards ABM.

Insula activation is modulated by attention shifting in social anxiety disorder

Social anxiety disorder (SAD) is characterized by exaggerated reactivity to social threat, often documented by biased attention to threatening information, and increased activation in brain regions involved in salience/threat processing. Attention training has been developed to ameliorate the attention bias documented in individuals with SAD, with mixed results. We investigated patterns of brain activation underlying acute attention modulation in 41 participants (29 with SAD and 12 health controls). We then investigated how brain activation changed over time in both groups in response to a 4-session attention training protocol (toward threat, away from threat, no-training control). Results revealed diminished pre-training deactivation in the insula in SAD participants during attention modulation. SAD participants also demonstrated an increase in insula deactivation over time, suggestive of an improvement in attention modulation of emotion, and this was associated with a decrease in symptom severity. Attention training did not, itself, lead to clinical improvement, though there was a trend level effect of training toward threat on increased insula deactivation over time. While deficits in attentional control and emotion modulation are documented in individuals with SAD, current attention training protocols are not robustly effective in ameliorating aberrant functioning. Pursuit of training protocols that have more robust impacts on the relevant neural circuitry may have some value.