Recent Advances in Attention Bias Modification for Substance Addictions

Behavioral and neurocognitive factors distinguishing post-traumatic stress comorbidity in substance use disorders

Significant trauma histories and post-traumatic stress disorder (PTSD) are common in persons with substance use disorders (SUD) and often associate with increased SUD severity and poorer response to SUD treatment. As such, this sub-population has been associated with unique risk factors and treatment needs. Understanding the distinct etiological profile of persons with co-occurring SUD and PTSD is therefore crucial for advancing our knowledge of underlying mechanisms and the development of precision treatments. To this end, we employed supervised machine learning algorithms to interrogate the responses of 160 participants with SUD on the multidimensional NIDA Phenotyping Assessment Battery. Significant PTSD symptomatology was correctly predicted in 75% of participants (sensitivity: 80%; specificity: 72.22%) using a classification-based model based on anxiety and depressive symptoms, perseverative thinking styles, and interoceptive awareness. A regression-based machine learning model also utilized similar predictors, but failed to accurately predict severity of PTSD symptoms. These data indicate that even in a population already characterized by elevated negative affect (individuals with SUD), especially severe negative affect was predictive of PTSD symptomatology. In a follow-up analysis of a subset of 102 participants who also completed neurocognitive tasks, comorbidity status was correctly predicted in 86.67% of participants (sensitivity: 91.67%; specificity: 66.67%) based on depressive symptoms and fear-related attentional bias. However, a regression-based analysis did not identify fear-related attentional bias as a splitting factor, but instead split and categorized the sample based on indices of aggression, metacognition, distress tolerance, and interoceptive awareness. These data indicate that within a population of individuals with SUD, aberrations in tolerating and regulating aversive internal experiences may also characterize those with significant trauma histories, akin to findings in persons with anxiety without SUD. The results also highlight the need for further research on PTSD-SUD comorbidity that includes additional comparison groups (i.e., persons with only PTSD), captures additional comorbid diagnoses that may influence the PTSD-SUD relationship, examines additional types of SUDs (e.g., alcohol use disorder), and differentiates between subtypes of PTSD.

Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review

BACKGROUND

The COVID-19 pandemic has shifted mental health care delivery to digital platforms, videoconferencing, and other mobile communications. However, existing reviews of digital health interventions are narrow in scope and focus on a limited number of mental health conditions.

OBJECTIVE

To address this gap, we conducted a comprehensive systematic meta-review of the literature to assess the state of digital health interventions for the treatment of mental health conditions.

METHODS

We searched MEDLINE for secondary literature published between 2010 and 2021 on the use, efficacy, and appropriateness of digital health interventions for the delivery of mental health care.

RESULTS

Of the 3022 records identified, 466 proceeded to full-text review and 304 met the criteria for inclusion in this study. A majority (52%) of research involved the treatment of substance use disorders, 29% focused on mood, anxiety, and traumatic stress disorders, and >5% for each remaining mental health conditions. Synchronous and asynchronous communication, computerized therapy, and cognitive training appear to be effective but require further examination in understudied mental health conditions. Similarly, virtual reality, mobile apps, social media platforms, and web-based forums are novel technologies that have the potential to improve mental health but require higher quality evidence.

CONCLUSIONS

Digital health interventions offer promise in the treatment of mental health conditions. In the context of the COVID-19 pandemic, digital health interventions provide a safer alternative to face-to-face treatment. However, further research on the applications of digital interventions in understudied mental health conditions is needed. Additionally, evidence is needed on the effectiveness and appropriateness of digital health tools for patients who are marginalized and may lack access to digital health interventions.

Effect of High-Frequency Repetitive Transcranial Magnetic Stimulation on Visual Selective Attention in Male Patients With Alcohol Use Disorder After the Acute Withdrawal

Objective

To investigate the effect of high-frequency repetitive transcranial magnetic stimulation (rTMS) on attention cue reactivity in male patients with alcohol use disorder (AUD) after acute withdrawal.

Methods

A total of 90 male patients with AUD who were hospitalized were enrolled and divided into study and waiting groups by a random number table. During the study, 18 patients dropped out. After the alcohol withdrawal symptoms were eliminated, the study group received high-frequency rTMS at 10 Hz for 14 consecutive days, and the waiting group was administrated by sham rTMS. All subjects were evaluated for attention cue reactivity, impulsiveness, cognitive function by oddball paradigm, Barratt Impulsiveness Scale version II (BIS-II), and the Montreal Cognitive Assessment (MoCA) at baseline and after true or sham rTMS.

Results

1. There was no significant difference between the study and the waiting groups regarding the drinking level, cognition level, and demographic data at baseline. 2. In the oddball paradigm, both for alcohol-related and non-alcohol-related cues, the response times were significantly shorter in the study group after rTMS treatment than in the waiting-for-treatment group, either between the two groups or within the study group. There was no significant difference in the accuracy rate for alcohol-related and non-alcohol-related cues between the two groups or within the study group after rTMS intervention. 3. The total score of MoCA was significantly increased, and the total score of BIS-II was significantly decreased in the study group after rTMS treatment, either between the two groups or within the study group.

Conclusion

The results suggested that high-frequency rTMS could improve the attention bias of alcohol-related cues and impulsivity for patients with AUD.

Attentional Bias in Non-Smoking Electronic Cigarette Users: An Eye-Tracking Study

INTRODUCTION

This study examined attentional bias (AB) to e-cigarette cues among a sample of non-smoking daily e-cigarette users (n = 27), non-smoking occasional e-cigarette users (n = 32), and control participants (n = 61) who did not smoke or use e-cigarettes. The possibility that e-cigarette users develop a transference of cues to traditional cigarettes was also examined.

METHODS

AB was assessed using a free-viewing eye-gaze tracking methodology, in which participants viewed 180 pairs of images for 4 seconds (e-cigarette and neutral image, e-cigarette and smoking image, smoking and neutral image).

RESULTS

Daily and occasional e-cigarette users attended to pairs of e-cigarette and neutral images equally, whereas non-users attended to neutral images significantly more than e-cigarette images. All three groups attended to e-cigarette images significantly more than smoking images, with significantly larger biases for e-cigarette users. There were no between-group differences in attention to pairs of smoking and neutral images. A moderation analysis indicated that for occasional users but not daily users, years of vaping reduced the bias toward neutral images over smoking images.

CONCLUSIONS

Taken together, the results indicate that e-cigarette users exhibit heighted attention to e-cigarettes relative to non-users, which may have implications as to how they react to e-cigarette cues in real-world settings. AB for e-cigarettes did not transfer to traditional cigarette cues, which indicates that further research is required to identify the mechanisms involved in the migration of e-cigarettes to traditional cigarettes.

IMPLICATIONS

This study is the first attempt to examine attentional biases for e-cigarette cues among non-smoking current e-cigarette users using eye-gaze tracking. The results contribute to the growing literature on the correlates of problematic e-cigarette use and indicate that daily and occasional e-cigarette use is associated with attentional biases for e-cigarettes. The existence of attentional biases in e-cigarette users may help to explain the high rate of failure to quit e-cigarettes and provides support for the utility of attentional bias modification in the treatment of problematic e-cigarette use.

Cognitive Biases and Addictive Disorders: A Bibliometric Review

Introduction: Since the early 2000s, there have been extensive investigations into cognitive biases in addictive disorders. The advances in the field have led to the discovery that cognitive bias exists in substance disorders and could in turn be modified. To date, there have been primary studies and meta-analysis demonstrating the existence of these biases and the effectiveness of cognitive bias modification (i.e., whereby such biases are retrained). There remains a lack of understanding of how the field has progressed and the research gaps, in light of the evidences provided by these primary studies. Objectives: A bibliometric analysis of the publications to date was performed to provide a map of the work that has been done so far. This would help researchers to better understand the development of cognitive bias research, the direction of the research, and the recent trends. Methods: For the purposes of this bibliometric research, Web of Science (WOS) was used in the identification of relevant articles. To identify the relevant articles, the following search strategy was implemented, that of ((((((TS = (“cognitive bias”)) OR TS = (“attention bias”)) OR TS = (“approach bias”)) OR TS = (“avoidance bias)) OR TS = (“interpretative bias”))). Bibliometric data analysis was conducted based on the identified articles. Results: A total of 161 citations were eventually included. These citations were published between 1994 and 2022. The average number of citations per documents was 26.73. Of these 161 citations, 122 were articles, 2 were editorials, 3 were corrections to the original manuscript, 5 were reviews, and 29 were meeting abstracts. The analysis of the trend of topics has shown that researchers were focused on understanding and gaining insights into cognitive biases and potentially examining the association between cognitive biases and cravings and aggression in the early days. Over the years, there has been an evolution into examining specific unconscious biases, namely, that of attention and approach biases. In the most recent years, the investigations have been more focused on examining bias modification/retraining. Conclusions: From our knowledge, this is the first bibliometric analysis that has been undertaken to explore all the publications related to cognitive bias in the field of addiction. The insights gained from this article could inform future research.

Changes in Drug-Related Implicit Associations during Substance Use Disorder Treatment: The Role of the Therapeutic Context

BACKGROUND

Implicit cognition has been linked to relapse in substance use disorder (SUD). Studies on attentional bias have found different outcomes related to the therapeutic context, finding an association with relapse in inpatients but not in outpatients. There are no similar studies that use associations in semantic memory as a measure of implicit cognition.

OBJECTIVES

(i) to analyze the relationship between a measure of associations in semantic memory and relapse in inpatients and outpatients; (ii) to compare the evolution of these associations between inpatients and outpatients after 3 months of treatment.

METHODS

Eighty nine outpatients and 94 inpatients with SUD for cocaine and alcohol participated in this study. We employed a longitudinal design with a baseline evaluation and follow-up after three months, using the Word Association Task for Drug Use Disorder (WAT-DUD).

RESULTS

The choice of drug-related words predicted relapse in cocaine (odds ratio = 1.97, z = 2.01, p = .045) and alcohol-cocaine (odds ratio = 2.39, z = 2.55, p = .011) use. Follow-up at 3 months revealed a reduction in the choice of drug-related words in inpatients (Z = 2.031, p = .042).

CONCLUSIONS

A greater choice of drug-associated words in the presence of ambiguous images was related to relapse in inpatients but not in outpatients. The inpatients group showed a reduction in the semantic association with drugs during the first three months of treatment.

Exploratory Study: A Modification Training Method of Attentional Bias Toward Safety

BACKGROUND

The high sensitivity of individuals toward safety information in production activities, that is, attentional bias toward safety (ABS), can positively predict safe behaviors. It has become a hot topic in current organizational safety behavior research. However, there is no literature on its modification method.

METHODS

Based on the modified dot-probe task, we designed a modification training method of ABS. The training method required subjects to respond to the location of detection points that presented after safety stimulus and neutral stimulus pictures. Subjects' attentional bias values of safety and neutral pictures were measured during the experiment. Twenty-one students were selected and divided into a control group and training group to gain comparable results.

RESULTS

A novel training method was developed in this study to promote the efficacy of safety stimulus by activating ABS of the subjects. Moreover, repeated trainings and preacquired relative knowledge can enhance this effect.

CONCLUSION

This study develops an experimental approach to evaluate the effectiveness of safety education and safety training, and also provides a new research idea for accident prevention.

Modulation of Methamphetamine-Related Attention Bias by Intermittent Theta-Burst Stimulation on Left Dorsolateral Prefrontal Cortex

Background

Previous studies have identified the treatment effect of repetitive transcranial magnetic stimulation (rTMS) on cravings of patients with methamphetamine use disorder (MUD). However, the mechanism underlying the treatment effect remains largely unknown. A potential candidate mechanism could be that rTMS over the dorsolateral prefrontal cortex (DLPFC) modulates the attention bias to methamphetamine-related cues. The purpose of this study is therefore to determine the modulation of rTMS on methamphetamine-related attention bias and the corresponding electrophysiological changes.

Methods

Forty-nine patients with severe MUD were included for analysis. The subjects were randomized to receive the active intermittent theta-burst stimulation (iTBS) or sham iTBS targeting DLPFC for 20 sessions. Participants performed the Addiction Stroop Task before and after the treatment while being recorded by a 64-channel electroencephalogram. Baseline characteristics were collected through the Addiction Severity Index.

Results

Post-treatment evaluations showed a reduced error rate in discriminating the color of methamphetamine words in the active iTBS group compared with the sham iTBS group. Following rTMS treatment, we found the significant time-by-group effect for the N1 amplitude (methamphetamine words > neutral words) and P3 latency (methamphetamine words > neutral words). The change of N1 amplitude was positively correlated with cravings in the active group. Moreover, reduced power of neural oscillation in the beta band, manifesting at frontal central areas, was also found in the active group.

Conclusion

This study suggests that attention bias and the beta oscillation during the attentional processing of methamphetamine words in patients with MUD could be modulated by iTBS applied to left DLPFC.

A systematic review of event-related potentials as outcome measures of attention bias modification

Attention bias modification (ABM) was initially developed with the goal of reducing attentional bias to threat-and subsequently anxious symptoms-in individuals with heightened anxiety. Although controversial, ABM appears to be generally effective in achieving this goal. Yet, the primary outcome measure of ABM (i.e., the reaction time-based differences score) has poor reliability and temporal resolution, which limits the inferences that can be drawn. In contrast, event-related potentials (ERPs) have superior reliability as well as temporal resolution and may therefore be better outcome measures of ABM. In this review, I systematically assess the research using ERPs as outcome measures in ABM protocols. I focus on the extent to which the ERPs modified by ABM represent earlier or later stages of information processing. In addition, I explore the extent to which ABM produces near and/or far transfer of learning effects on ERP measures. The reviewed literature suggests that ERPs are promising outcome measures of ABM. ABM modulates the effects of affective stimuli on posterior visually evoked ERPs (i.e., P1) as well as ERPs at anterior electrodes (i.e., P2, N2, and ERN). Based on the state of the field, several directions for future research are identified.

A Literature Review of Attentional Biases amongst Individuals with Substance Dependency: Individual Differences and Modulating Factors

Introduction: Advances in experimental psychology have led to a better understanding of automatic, unconscious processes, referred to as attentional biases. Despite the growing evidence from meta-analytical studies, we still do not understand why some individuals have a greater magnitude of these biases, and why others have none. There has been little focus on elucidating individual differences and task parameters that affect the overall magnitude of the biases. In this opinion piece, we will attempt to identify these. We will then discuss both the research and clinical implications. Methods and Analysis: To identify the factors that modulated the magnitude of attentional biases across all the substance disorders (i.e., opioid use, cannabis use, and stimulant-use disorders), we performed a search using the bibliographic databases PubMed and MEDLINE. The search terminologies “attention bias” or “cognitive bias” or “approach bias” or “avoidance bias” were used when we looked for relevant articles. Results: It was evident from the published literature that several individual differences and factors modulated the magnitude of baseline biases. Across opioid, cannabis, and stimulant-use disorders, the most common individual differences identified were the severity of the dependence and the quantity of substance used. For both opioid and cannabis disorders the timing of stimulus presentation influenced the detection of attentional bias; it appeared that short stimulus timing was better able to detect attentional bias. Other identified individual differences included subjective craving and impulsiveness. The results highlight several research and clinical implications. Conclusions: The discovery of these individual differences and factors of the task paradigm that affect the magnitude of attentional biases will help in the future conceptualization of attention-bias-modification intervention.

Cognitive Bias Modification for Addictive Disorders: Emerging Knowledge and Persistent Gaps

The advances in experimental psychology have led to the discovery of unconscious, automatic biases (attentional and approach biases) that account for the lapse and relapses amongst individuals with addictive disorders. To date, there has been extensive investigation into the assessment and modification of attention biases amongst individuals with the highly prevalent substance use disorders. Alternative modalities, such as technology, has also been evaluated for the delivery of these interventions. Given this, the specific objectives of this perspective article are in highlighting the emerging knowledge that has accrued over the last three years, and in addressing several of the research gaps in the previous article. Firstly, this perspective article will examine the evidence for biases and bias modification amongst the highly prevalent substance use disorders. This article will also examine how such bias modification has been utilized clinically. Secondly, this perspective article will also examine how technology has been applied to these bias modification interventions. Thirdly, this article will also examine the literature to highlight the biological underpinnings following bias modification. Fourthly, this article also examines the limitations of existing bias modification paradigms and methods taken to better these conventional interventions. The article concludes with highlighting the outstanding gaps in the current knowledge. To date, there remains mixed evidence for the modification of attention biases; and there are a paucity of studies examining the effectiveness of mobile delivery of bias intervention. Only one study has considered patients’ perspective in the development of an intervention. There remained several gaps in the knowledge, which future research could address.

Challenges When Evaluating Cognitive Bias Modification Interventions for Substance Use Disorder

In recent years, advances in experimental psychology have led to a better understanding in automatic, unconscious processes, referred to as attentional and approach biases amongst individuals with substance use disorders. Attentional biases refer to the relatively automatic tendencies for attention to be preferentially allocated towards substance-related cues. Whereas, approach bias refers to the relatively automatic behavioral tendencies of individuals to reach out to substance-related cues in their natural environment. While, several reviews confirm the existence of these biases, and the effectiveness of bias modification, the conduct of cognitive bias modification amongst substance-using individuals is not without its challenges. One of these is that cognitive biases, both attentional and approach biases, are not universally present; and several individual differences factors modulate the magnitude of the biases. Another challenge that investigators faced in their conduct of cognitive bias modification relates to the selection of the appropriate task for bias assessment and modification. Other challenges intrinsic to cognitive bias modification intervention relates to that of participant attrition, much like conventional psychotherapies. Negative findings, of the absence of biases at baseline, or the lack of effectiveness of bias modification have been reported in studies of cognitive bias modification. All these challenges could have an impact on bias assessment and modification. In this perspective paper, we will explore the literature surrounding each of these challenges and discuss potential measures that could be undertaken to mitigate these clinical and research challenges.

Emotional Bias Modification in Youths with Attention Deficit Hyperactivity Disorder (ADHD): New Research Vista

Whilst cognitive bias modification was initially used in the treatment of anxiety disorders, it is also currently being used for the treatment of other psychopathologies. In fact, cognitive bias modification has been especially well-investigated amongst children and adolescents. A recent review suggests some evidence for the modification of interpretative biases amongst children with neurodevelopment disorders. There have since been other studies reporting of the existence of other cognitive biases, such as emotional biases, amongst individuals with attention deficit hyperactivity disorder (ADHD). This perspective article will discuss the epidemiology of ADHD and the nature of emotional biases that are present amongst individuals with ADHD. This perspective article also reviewed some of the studies that have assessed and modified emotional biases in individuals with ADHD. A total of three studies have been identified from the published literature that provide evidence for targeting emotional biases amongst individuals with ADHD. These studies provide us with preliminary evidence for the effectiveness of modifying emotional biases and how it could help in ameliorating symptoms related to emotional dysregulation. There needs to be future research in this area with further evidence supporting the effectiveness of modifying emotional biases. It is also crucial for future research to determine which of these tools is best at detecting such biases, and which of these tools are versatile enough and non-invasive that they could safely be implemented for both research and clinical needs.

Psychopathic Disorder Subtypes Based on Temperament and Character Differences

The concept of psychopathy has shifted from people who commit crimes to those with a particular personality and deviant behaviors. Although antisocial personality disorder is associated with psychopathy, it also seems common in individuals with narcissistic personality traits. Psychopathy may be the expression of earlier, persistent patterns of individual characteristics as personality. The psychobiological model of personality can be useful for determining whether the expression of psychopathy differs in accordance with personality dimensions and specific personality disorders. The aim was to compare temperament and character dimensions between individuals with psychopathy with comorbid predominant antisocial or narcissistic personality traits and control subjects and to determine which dimensions distinguish these groups. Control subjects (n = 80) and individuals with psychopathy (n = 80) were assessed using the Psychopathy Checklist-Reviewed, the Structured Clinical Interview for DSM-IV Axis II disorders and the Temperament and Character Inventory-Revised. Reward dependence and Self-Directedness distinguish psychopathic individuals with predominant narcissistic personality traits whereas Novelty Seeking and Self-Transcendence characterize those with antisocial personality traits. Individuals with antisocial or narcissistic psychopathy could be identified by their temperament and character traits. The expression of psychopathy differed in accordance with biologically based, environmentally shaped personality traits.

Making Sense of Negative Findings from Mobile Attention Bias Modification Interventions for Individuals with Addictive Disorders: Quantitative Feasibility Study

Background

Advances in experimental psychology have led to a better understanding of unconscious, automatic processes that result in individuals relapsing into their substance-using habits. While some reviews have demonstrated the effectiveness of bias retraining of these unconscious biases, there have been other reviews that have highlighted that bias retraining is not always effective. Other studies have revealed there was no baseline biases among some participants. An examination of mobile bias retraining interventions has also revealed mixed results, with some reporting effectiveness and others null findings. A recent feasibility and acceptability study, done by the authors, revealed that 53% of participants have had no baseline biases and 21% of those with positive baseline biases did not have a positive change in magnitude following intervention.

Objective

The aim of this paper was to explore potential variables (demographic and clinical) that could account for the negative baseline biases in the prior feasibility and acceptability study, and to discuss some of the factors that could account for the absence of baseline biases. We also explored potential reasons for why there was no reduction in the magnitude of attentional biases among individuals with baseline biases.

Methods

Participants who were in the rehabilitation phase of their treatment were invited to participate. During the study they had to complete a set of baseline questionnaires, and on each day that they were on the ward they had to complete an attention bias assessment and modification task and rate their cravings using a visual analogue scale. Attention bias was deemed to be present if individuals had a positive score.

Results

In our study, 53% (16/30) of individuals did not present with baseline attentional biases, and among those with positive baseline biases a total of 21% (3/14) of participants did not have a reduction in the overall magnitude of attentional biases. Chi-square analyses undertaken to compare the demographic characteristics of participants with and without baseline biases did not reveal any significant findings. However, with respect to clinical characteristics, those who had positive baseline biases had experimented with more substances.

Conclusions

Our study is one of the first to have explored negative findings in attention bias modification interventions for individuals with addictive disorders. We postulate that several factors could account for the absence of baseline biases and there being no changes following bias retraining. Future research ought to take into consideration these factors.

Codesigning a mobile gamified attention bias modification intervention: research protocol

INTRODUCTION

Advances in experimental psychology has highlighted the need to modify underlying automatic cognitive biases, such as attentional biases. While prior research has documented the effectiveness of cognitive bias modification, such interventions tend to be highly repetitive and individuals lack motivation to train over time. Participatory action research methods have been more widely applied in psychiatry to help design interventions that are of relevant to key stakeholders and end users. This study aimed to involve both healthcare professionals and patients in the joint codesign of a gamified mobile attention bias modification intervention.

METHODS AND ANALYSIS

The participatory design research method adopted is that of a use-oriented design approach, in the form of a future workshop. 20 participants, comprising 10 healthcare professionals, 5 inpatients and 5 outpatients will be recruited to participate in three separate codesign workshops. In the first phase of the workshop, the participants share their critique of an attention bias modification intervention. In the second phase of the workshop, participants are asked to brainstorm features. The participants are also shown gamification approaches and are asked to consider if gaming elements could enhance the existing application. In the last phase, the participants are asked to sketch a new prototype.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the National Healthcare Group's Domain Specific Research Board (approval number 2018/01363). The findings arising from this study will be disseminated by means of conferences and publications.

Co-designing a Mobile Gamified Attention Bias Modification Intervention for Substance Use Disorders: Participatory Research Study

Background

Advances in experimental psychology have highlighted the need to modify underlying automatic cognitive biases, such as attentional biases. The effectiveness of bias modification has been well studied for substance use disorders. With recent advances in technology, it is now possible to work outside the laboratory with Web-based and mobile-based attention bias interventions. Gamification technologies might also help diminish the repetitiveness of the task and increase the intrinsic motivation to train. The inconsistent findings of the impact of gaming on the effectiveness of mobile interventions call for further work to better understand the needs of patients (users) and health care professionals.

Objective

The aim of this study was to involve patients, together with health care professionals, in the design of a gamified mobile attention bias modification intervention for substance use disorders.

Methods

The participatory design research method adopted is that of a user-oriented design approach in the form of a future workshop. In the first phase of the workshop, participants shared their critique of an attention bias modification intervention. In the second phase of the workshop, participants were asked to brainstorm features. Participants were also shown gamification approaches and asked to consider if gaming elements could enhance the existing app. In the last phase, participants were asked to sketch a new prototype.

Results

Three co-design workshops were conducted with health care professionals, inpatients, and outpatients. There were 20 participants, consisting of 10 health care professionals and 10 patients. When asked to identify the limitations in the existing app, common issues identified were those of the design, visual probe task, and the included images. Outpatients were also concerned with the safety of administration of the intervention. In the brainstorming sessions, health care professionals made recommendations as to how the stimulus, the mechanism of responding, and the presentation of the scores could be enhanced. Inpatient participants recommended the addition of functionalities, such as information on the harms associated with the substance use, and for there to be enhancements in the design, images, and task. Outpatient participants perceived a need to improve the images and presentation of the results and recommended the inclusion of gaming features. There were differences in opinion on the inclusion of gaming features, as only health care professionals endorsed their inclusion. In the last phase of the workshop, participants were tasked with the conceptualization of prototypes, and the commonality in the design was for a gradual shortening of the interval for stimulus/image presentation.

Conclusions

The results from this research will guide the development of an app that meets the specific needs of patients and is still based on a pre-existing validated task paradigm.  

A Smartphone Attention Bias Intervention for Individuals With Addictive Disorders: Protocol for a Feasibility Study

Background

Substance use disorders are highly prevalent globally. Relapse rates following conventional psychological interventions for substance use disorders remain high. Recent reviews have highlighted attentional and approach or avoidance biases to be responsible for multiple relapses. Other studies have reported the efficacy of interventions to modify biases. With advances in technologies, there are now mobile versions of conventional bias modification interventions. However, to date, no study has evaluated bias modification in a substance-using, non-Western sample. Existing evaluations of mobile technologies for the delivery of bias interventions are also limited to alcohol or tobacco use disorders.

Objective

This study aims to examine the feasibility of mobile-based attention bias modification intervention among treatment-seeking individuals with substance use and alcohol use disorders.

Methods

This is a feasibility study, in which inpatients who are in their rehabilitation phase of clinical management will be recruited. On each day that they are in the study, they will be required to complete a craving visual analogue scale and undertake both a visual probe-based assessment and and modification task in a smartphone app . Reaction time data will be collated for the computation of baseline attentional biases and to determine whether there is a reduction of attentional bias across the interventions. Feasibility will be determined by the number of participants recruited and participants’ adherence to the planned interventions up until the completion of their rehabilitation program and by the ability of the app in detecting baseline biases and changes in biases. Acceptability of the intervention will be assessed by a short questionnaire of users’ perceptions of the intervention. Statistical analyses will be performed using SPSS version 22.0, while qualitative analysis of the perspectives will be performed using NVivo version 10.0.

Results

This study was approved by the National Healthcare Group Domain Specific Research Board, with approval number (2018/00316). Results will be disseminated by means of conferences and publications.Currently, we are in the process of recruitment for this study.

Conclusions

To the best of our knowledge, this is the first study to evaluate the feasibility and acceptability of a mobile attention bias modification intervention for individuals with substance use disorders. The data pertaining to the feasibility and acceptability are undoubtedly crucial because they imply the potential use of mobile technologies in retraining attentional biases among inpatients admitted for medical-assisted detoxification and rehabilitation. Participants’ feedback pertaining to the ease of use, interactivity, and motivation to continue using the app is crucial because it will determine whether a codesign approach might be warranted to design an app that is acceptable for participants and that participants themselves would be motivated to use.

International Registered Report Identifier (IRRID)

PRR1-10.2196/11822

Component Model of Addiction Treatment: A Pragmatic Transdiagnostic Treatment Model of Behavioral and Substance Addictions

Behavioral addictions such as gambling, video games, sex, and shopping share many clinical features with substance use addictions including etiology, course, and neurobiology. Yet, the treatment of behavioral and substance use addictions tends to be separated. However, we argue that a more effective and efficient treatment approach is to conceptualize behavioral and substance use addictions as different expressions of a common underlying disorder and, in treatment, to address the underlying mechanisms common to both. To this end, the article presents a developing transdiagnostic treatment model of addictions that targets underlying similarities between behavioral and substance use addictions, called the component model of addiction treatment (CMAT). The CMAT is transdiagnostic in that it can be used in the treatment of both behavioral and substance use addictions. It is pragmatic in that it targets component vulnerabilities, which are enduring, yet malleable, individual psychological, cognitive, and neurobiological characteristics that are common to all addictive disorders and have been demonstrated to be modifiable. A working model of CMAT is presented, including proposed component vulnerabilities: lack of motivation, urgency, maladaptive expectancies, deficits in self-control, deficits in social support, and compulsivity, as well as their potential intervention possibilities. Future directions and potential implications of the CMAT are discussed.

Grief and Avoidant Death Attitudes Combine to Predict the Fading Affect Bias

The fading affect bias (FAB) occurs when unpleasant affect fades faster than pleasant affect. To detect mechanisms that influence the FAB in the context of death, we measured neuroticism, depression, anxiety, negative religious coping, death attitudes, and complicated grief as potential predictors of FAB for unpleasant/death and pleasant events at 2 points in time. The FAB was robust across older and newer events, which supported the mobilization-minimization hypothesis. Unexpectedly, complicated grief positively predicted FAB, and death avoidant attitudes moderated this relation, such that the Initial Event Affect by Grief interaction was only significant at the highest 3 quintiles of death avoidant attitudes. These results were likely due to moderate grief ratings, which were, along with avoidant death attitudes, related to healthy outcomes in past research. These results implicate complicated grief and death avoidant attitudes as resiliency mechanisms that are mobilized during bereavement to minimize its unpleasant effects.