Emoji-based Attention Bias Modification Training for Depressive Young Adults

NCT ID: NCT05415306

Last Updated: 2022-06-13

Basic Information

• Recruitment Status: UNKNOWN
• Clinical Phase: NA
• Total Enrollment: 120 participants
• Study Classification: INTERVENTIONAL
• Study Start Date: 2022-07-31
• Study Completion Date: 2024-09-30

Brief Summary

Globally, the rates of young adults and college students reporting symptoms of depression have been rising over the past decade. There are major obstacles being faced in mental healthcare that prevents many individuals from receiving sufficient and quality mental healthcare services. Current treatments for depression are not able to target the underlying factors causing the disorder. In addition, individuals with depressive symptoms face issues with accessibility and social stigma. Hence, there has been increasing interest in behavioural and cognitive mental health interventions with the potential for remote applications. This study aims to evaluate the feasibility and acceptability of using an emoji-based attention bias modification training paradigm on depressive symptom severity compared with a deep breathing practice protocol, a sham training protocol and a control group. It is expected that participants who undergo the attention bias modification training and deep breathing training paradigms will have reduced depressive symptom scores, changes in attention bias indices, and changes in event-related potential component measures compared to participants who did not undergo the interventions.

Detailed Description

Depression is a common mental health disorder and is a major cause of disability worldwide. Despite the wide range of treatments currently available, many individuals with depression do not acquire treatment for the disorder. Some patients are concerned about possible negative effects of antidepressants, although there is also a high rate of discontinuation among patients on antidepressant regimens. Relapse is a common occurrence, where at least 50% of the patients who recover from the first episode of depression will experience at least one more depressive episode. The consistent preference for psychological treatments over medication gives particular relevance to research aimed at developing suitable behavioral and psychological treatments for depression.

Digital mental health interventions could potentially improve access to mental health services and help overcome the stigma associated with seeking traditional mental health services. Vulnerable young people, especially individuals in rural or low-resource areas and marginalized communities face unequal access to mental health services. In contrast, there is an unprecedented surge in access to digital technology platforms and mobile devices among young adults worldwide. The mental healthcare access gap can be addressed by the opportunities provided by digital technology to provide better care for youth and young adults. The young adult demographic is a critical target group because it is the group with the highest incidence and prevalence of mood disorders. Many people often find it challenging to communicate about mental health issues, but if left unresolved, these issues can lead to deterioration of mental well-being.

A growing majority of young adults have access to mobile devices and the Internet. Meta-analyses of computerized and Internet-based treatments for depression found that they significantly reduced depressive symptoms compared to control groups. However, some methodological limitations were reported by the analyses, such as lack of follow-up testing, skewed post-intervention data, and lack of participant feedback. A review by Lamb et al. (2019) on the efficacy and practicality of remote psychotherapy for depression and anxiety disorders, reported that interventions that were administered over the telephone, through video-conferencing, or online were generally effective. Remote psychotherapy was reported to improve accessibility and convenience, especially for individuals living in rural and remote areas or individuals with limited mobility.

The dot-probe paradigm is a behavioral task widely employed to measure attention and perception biases. The task can be adapted in different ways to accommodate the investigation of various conditions such as generalized anxiety disorders, eating disorders, and substance use disorders. In the dot-probe task, two stimuli appear on a screen simultaneously in two separate spatial locations. One of the stimuli has an emotional valence, while the other is neutral. The stimuli then are removed, and a dot-probe appears in one of the locations where the stimuli were previously displayed. The subject's response times are recorded and a faster response to the probe when it appears in the previous location of a threatening stimulus is interpreted as vigilance for threat, indicating attentional bias.

Individuals suffering from emotional disorders exhibit negative attentional biases. Notably, this negative attention bias can also be present in non-depressed individuals with high risk of developing depression, as well as individuals who have recovered from episodes of depression. In general, studies on healthy adults show that the prefrontal cortex plays a role in response inhibition, specifically the right inferior frontal cortex region. When presented with competing stimuli, certain responses need to be inhibited in order to make a decision. In the case of attention biases, the lateral prefrontal cortex contributes by modulating responses to emotional information. Deficits in response inhibition result in a bias towards certain emotional information.

A common application of the dot-probe task is in attention bias modification (ABM), an experimental procedure for treatment of depression, with the intention of supplementing cognitive behavioural therapy (CBT) or as a treatment on its own. Besides treating emotional disorders, attention bias modification interventions are also being used to treat eating disorders, alcohol dependency, and social phobias. ABM procedures modify attention biases in emotional disorders, resulting in subjects learning to deploy their attention toward the more positive stimuli. A computerized attention bias modification intervention for depression involves repeatedly redirecting the attention of the subject away from emotionally relevant threat cues, and towards neutral (non-threatening) stimuli. The effects of the attention bias training are assessed by examining the motivational outcomes on the subjects (i.e. depressive assessment scores). Studies examining the effects of ABM on depressive symptoms generally found reduced symptoms where the attentional biases were successfully modified.

Deep breathing is another promising approach to cognitive-behavioral interventions for mood disorders. Deep breathing exercises are known to decrease heart rate and stimulate parasympathetic relaxation. There are observable physical changes associated with breathing relaxation, such as reduced metabolism, muscle tension, brain activity and skin resistance. These effects are associated with lowered anxiety and depression, better quality of sleep, and enhanced concentration. This has led to a growing body of work regarding the use of deep breathing techniques to combat mental health symptoms associated with various physical and mental disorders. Deep breathing exercises have been employed in research on chronic cardiovascular disease, post-traumatic stress disorder (PTSD), pain management, depression, and anxiety.

In most deep breathing studies, the duration and frequency of the breathing patterns are notably different across different studies. In a study on the effect of deep breathing duration on depressive symptoms by Cheng et al. (2019), it was found that deep breathing for 5, 7 and 9 minutes produced higher activation of the parasympathetic nervous system compared to the control group. However, only deep breathing durations of 7 or 9 minutes produced significantly lower self-report depressive scores, with the 9-minute group achieving a larger effect size than the 7-minute group. As for breathing frequency, a rate of 6 breaths per minute has been extensively practiced in numerous studies as it has been found to result in significant differences in heart rate variability measures compared to other rates and natural breathing rates.

Attention bias modification paradigms and deep breathing exercises have potential as both standalone treatments for mood disorders and complementary regimens to pharmacotherapy. A meta-analysis has found that while psychotherapy and medication are both efficacious in improving depressive symptom severity, a combination of both provides significantly better outcomes for patients. The development of interventions such as attention bias modification and deep breathing training would contribute towards creating highly accessible tools for management and alleviation of depression symptoms. When administered in combination with other psychotherapy and antidepressant treatments, these remote interventions could improve the quality of the mental healthcare experience for patients and healthcare professionals.

Conditions

Depressive Symptoms; Mood Disorders

Study Design

• Allocation Method: RANDOMIZED
• Intervention Model: PARALLEL
• Primary Study Purpose: TREATMENT
• Blinding Strategy: SINGLE

Study Groups

Attention Bias Modification Training

Participants randomized to the ABMT group will undergo active attention bias modification training. The emoji-based ABMT protocol will be adapted from the attention bias modification task from Browning et al., 2012. The stimuli used during the task are pictures of emoji displaying emotional expressions that have valences that are either positive, neutral, or negative. The positive, negative and neutral emojis will be chosen from the outcome of a preliminary rating questionnaire.

Group Type: EXPERIMENTAL

Attention Bias Modification

Intervention Type: BEHAVIORAL

Attention bias modification (ABM) is a procedure for treatment of depression, with the intention of supplementing cognitive behavioural therapy (CBT) or as a treatment on its own. ABM procedures modify attention biases in emotional disorders, resulting in subjects learning to deploy their attention toward the more positive stimuli (Jonassen et al., 2018). A computerized attention bias modification intervention for depression involves repeatedly redirecting the attention of the subject away from emotionally relevant threat cues, and towards neutral (non-threatening) stimuli (Amir et al., 2009). The location of the probe will replace the relatively positive stimulus in the pair with 100% probability.

Sham Training

Participants in the sham control group will receive a sham version of the ABMT task. This condition is identical to the active ABM condition except for the location of the probe, which replaces the positive, negative, and neutral stimuli with equal probability. This control procedure is not expected to modify any underlying biases present.

Group Type: SHAM_COMPARATOR

Sham Training

Intervention Type: BEHAVIORAL

This condition is identical to the Attention Bias Modification condition with the except of the location of the probe, which replaces the positive, negative, and neutral stimuli with equal probability. This control procedure is not expected to modify any underlying biases present.

Deep-breathing training

The protocol for the deep breathing practice will be adapted from the procedure outlined in (Cheng et al., 2019). Participants randomized to the deep breathing group will undergo mindful deep breathing practice. Participants will be required to follow an instructional video and perform mindful deep breathing. The video guide will be sent to each participant in the deep breathing group, and they will be instructed to perform the exercise once a day at any time of their choice for the 14-day period.

Group Type: ACTIVE_COMPARATOR

Deep-breathing training

Intervention Type: BEHAVIORAL

In most deep breathing studies, participants are required to alter their breathing pattern to a specific frequency for a specific duration of time. In the present study, participants will be required to perform deep-breathing at a rate of 6 breaths per minute for 9 minutes.

No-intervention control

Participants in the no-intervention control group will not be required to undergo any intervention.

Group Type: NO_INTERVENTION

No interventions assigned to this group

Interventions

Attention Bias Modification

Attention bias modification (ABM) is a procedure for treatment of depression, with the intention of supplementing cognitive behavioural therapy (CBT) or as a treatment on its own. ABM procedures modify attention biases in emotional disorders, resulting in subjects learning to deploy their attention toward the more positive stimuli (Jonassen et al., 2018). A computerized attention bias modification intervention for depression involves repeatedly redirecting the attention of the subject away from emotionally relevant threat cues, and towards neutral (non-threatening) stimuli (Amir et al., 2009). The location of the probe will replace the relatively positive stimulus in the pair with 100% probability.

Intervention Type: BEHAVIORAL

Deep-breathing training

In most deep breathing studies, participants are required to alter their breathing pattern to a specific frequency for a specific duration of time. In the present study, participants will be required to perform deep-breathing at a rate of 6 breaths per minute for 9 minutes.

Intervention Type: BEHAVIORAL

Sham Training

This condition is identical to the Attention Bias Modification condition with the except of the location of the probe, which replaces the positive, negative, and neutral stimuli with equal probability. This control procedure is not expected to modify any underlying biases present.

Intervention Type: BEHAVIORAL

Eligibility Criteria

Inclusion Criteria

• Aged between 18 and 30 years old
• Give informed consent

Exclusion Criteria

• Past or present diagnosis of other major psychiatric disorders (e.g., suicidality, substance dependence, psychosis)
• Recently started psychotropic or medical prescriptions within the previous two weeks
• Visual impairments that cannot be corrected with contact lenses or glasses

• Minimum Eligible Age: 18 Years
• Maximum Eligible Age: 30 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Universiti Tunku Abdul Rahman

OTHER

Sponsor Role: lead

Responsible Party

Poh Foong Lee, PhD

Assistant Professor

Responsibility Role: PRINCIPAL_INVESTIGATOR

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Related Links

https://projects.iq.harvard.edu/files/crcs/files/ai4sg_2020_paper_30.pdf

Progressing Social Good by Reducing Mental Health Care Inequality with Persuasive Technology

https://www.who.int/news-room/fact-sheets/detail/mental-disorders

WHO Mental Disorders Fact Sheet

Other Identifiers

FRGS/1/2021/SKK06/UTAR/02/4

Identifier Type: -

Identifier Source: org_study_id