What is attention bias variability? Examining the potential roles of attention control and response time variability in its relationship with anxiety

Attentional Processes in Pain: The Importance of Context and Attentional Alignment

The attentional bias literature has consistently failed to take context into account. We developed a novel paradigm in immersive virtual reality (VR) with pain stimuli where it would be adaptive or nonadaptive to attend to the stimuli. Participants had to indicate the location of the stimuli. Seventy participants were recruited. The VR-attention task assessed overall attentional bias (the tendency to prioritize pain compared with nonpain stimuli) and attentional alignment (the tendency to attend to pain more in adaptive than nonadaptive situations). Pain tolerance and threshold were measured using electrocutaneous stimulation and thermal pain. We conducted 2 (context: adaptive vs nonadaptive) × 2 (congruence: congruent vs incongruent) Analysis of Covariance, controlling for threat. Participants responded to pain probes more quickly in adaptive than nonadaptive contexts. There was an overall bias away from pain-related stimuli (avoidance) in reaction time to the target. There was also an interaction where avoidance was greater in nonadaptive contexts, indicative of attentional alignment. For gaze behavior, both attentional alignment and attentional bias were observed for latency to first fixation on the target, such that participants showed vigilance for pain particularly in the adaptive context. Attentional alignment was correlated with threshold and tolerance from electrocutaneous stimulation but not thermal pain. In conclusion, we found overall attentional biases indicating vigilance (latency to first fixation) and avoidance (response to target). We also found that participants evidenced a pattern of attention favoring adaptive over nonadaptive contexts (attentional alignment). It was attentional alignment, but not overall attentional bias, that predicted pain tolerance and threshold. PERSPECTIVE: The study explored attentional processes in pain through a novel paradigm designed in VR. The results found that positive attentional alignment, or the tendency to attend to pain more in adaptive contexts rather than nonadaptive contexts, predicted pain outcomes.

Beyond the modified dot-probe task: A meta-analysis of the efficacy of alternate attention bias modification tasks across domains

Attention biases towards disease-relevant cues have been implicated in numerous disorders and health conditions, such as anxiety, cancer, drug-use disorders, and chronic pain. Attention bias modification (ABM) has shown that changing attention biases can change related emotional processes. ABM most commonly uses a modified dot-probe task, which has received increasing criticism regarding its reliability and inconsistent findings. The purpose of the present review was thus to systematically review and meta-analyse alternative tasks used in ABM research. We sought to examine whether alternative tasks significantly changed attention biases and emotional outcomes, and critically examined whether relevant sample, task and intervention characteristics moderated each of these effect sizes. Seventy-four (completer n = 15,294) study level comparisons were included in the meta-analysis. Overall, alternative ABM designs had a medium effect on changing biases (g = 0.488), and a small, but significant effect on improving clinical outcomes (g = 0.117). We found this effect to be significantly larger for studies which successfully changed biases compared to those that did not. Across all tasks, it appeared that targeting engagement biases results in the largest change to attention biases. Importantly, we found tasks incorporating gaze-contingency - encouraging engagement with non-biased stimuli - show the most promise for improving emotional outcomes.

A Subject-Specific Attention Index Based on the Weighted Spectral Power

As an essential cognitive function, attention has been widely studied and various indices based on EEG have been proposed for its convenience and easy availability for real-time attention monitoring. Although existing indices based on spectral power of empirical frequency bands are able to describe the attentional state in some way, the reliability still needs to be improved. This paper proposed a subject-specific attention index based on the weighted spectral power. Unlike traditional indices, the ranges of frequency bands are not empirical but obtained from subject-specific change patterns of spectral power of electroencephalograph (EEG) to overcome the great inter-subject variance. In addition, the contribution of each frequency component in the frequency band is considered different. Specifically, the ratio of power spectral density (PSD) function in attentional and inattentional state is utilized to calculate the weight to enhance the effectiveness of the proposed index. The proposed subject-specific attention index based on the weighted spectral power is evaluated on two open datasets including EEG data of a total of 44 subjects. The results of the proposed index are compared with 3 traditional attention indices using various statistical analysis methods including significance tests and distribution variance measurements. According to the experimental results, the proposed index can describe the attentional state more accurately. The proposed index respectively achieves accuracies of 86.21% and 70.00% at the 1% significance level in both the t-test and Wilcoxon rank-sum test for two datasets, which obtains improvements of 41.38% and 20.00% compared to the best result of the traditional indices. These results indicate that the proposed index provides an efficient way to measure attentional state.

Attentional bias modification and attention control training in PTSD: a systematic review and meta-analysis

Background

Cognitive models of post-traumatic stress disorder (PTSD) highlighted the effect of maladaptive cognitive processing in the development and maintenance of PTSD. PTSD is related to attentional bias (AB) toward threatening stimuli and greater attentional bias variability (ABV). Attentional bias modification (ABM) and attention control training (ACT) have demonstrated the effect of improving PTSD, but the results of randomized controlled trials (RCTs) are controversial.

Objectives

The current study aimed to evaluate the extent of evidence supporting the efficacy of ABM in the treatment of PTSD.

Design

Systematic review and meta-analysis.

Methods

We searched PUBMED, PsycINFO, EMBASE, ClinicalTrials.gov, and the Cochrane Central Register of Controlled Trials for articles published between 1980 and 2022. RCTs of ABM for adult participants with PTSD symptoms were identified. The primary outcome was changes in PTSD severity, and the second outcome was changes in AB and ABV. Trial quality was assessed using the Cochrane Risk of Bias Tool. Publication bias was assessed using the Doi plot and Luis Furuya-Kanamori (LFK) index.

Results

Eight RCTs comparing the effect of ABM to ACT were included in the review, and six studies were meta-analyzed. Meta-analysis favored ACT in improving PTSD symptoms and ABV, and the effect size was large. ABM and ACT demonstrated similar effects in improving AB.

Conclusion

ACT should not only be seen as a control training condition but also has therapeutic values. However, since the current meta-analysis only included a limited number of studies, further research was still needed to examine the clinical value of ACT in PTSD treatment.

Understanding the Role of Expectancy, Anticipatory Anxiety, and Attention Bias in Nocebo Hyperalgesia: A Gaze-Contingent Attention Bias Modification Study

Nocebo effects in pain (nocebo hyperalgesia) have been thoroughly researched, and negative expectancies have been proposed as a key factor in causing nocebo hyperalgesia. However, little is known about the psychological mechanisms by which expectations exacerbate the perception of pain. A potential mechanism that has been proposed within wider pain research is pain-related attention. The aim of the present study was thus to explore whether attention bias (AB) to pain influenced nocebo hyperalgesia. One-hundred and thirty-four healthy participants were randomized in a 2 (AB training: towards vs away from pain) × 2 (nocebo condition: nocebo vs control) design. Pain-related AB was manipulated through a novel, partially gaze-contingent dot-probe task. Participants then completed either a nocebo instruction and conditioning paradigm or a matched control condition. Primary outcomes were measures of expectancy, anticipatory anxiety, and pain intensity completed during a nocebo test phase. Results showed that the AB manipulation was unsuccessful in inducing ABs either toward or away from pain. The nocebo paradigm induced significantly greater expectancy, anticipatory anxiety, and pain intensity for the nocebo groups compared to the control groups. In a posthoc analysis of participants with correctly induced ABs, AB towards pain amplified nocebo hyperalgesia, expectancy, and anticipatory anxiety relative to AB away from pain. The results are consistent with the expectancy model of nocebo effects and additionally identify anticipatory anxiety as an additional factor. Regarding AB, research is needed to develop reliable means to change attention sample-wide to corroborate the present findings. PERSPECTIVE: This article explores the role of AB, expectancy, and anticipatory anxiety in nocebo hyperalgesia. The study shows that expectancy can trigger anticipatory anxiety that exacerbates nocebo hyperalgesia. Further, successful AB training towards pain heightens nocebo hyperalgesia. These findings identify candidate psychological factors to target in minimizing nocebo hyperalgesia.

Attentional biases to signals of negative information: Reliable measurement across three anxiety domains

Cognitive models propose that individuals with elevated vulnerability to experiencing negative emotion are characterised by biased attentional responding to negative information. Typically, methods of examining these biases have measured attention to pictures of emotional scenes, emotional faces, or rewarding or feared objects. Though these approaches have repeatedly yielded evidence of anxiety-linked biases, their measurement reliability is suggested to be poor. Recent research has shown that attentional responding to cues signalling negative information can be measured with greater reliability. However, whether such biases are associated with emotion vulnerability remains to be demonstrated. The present study conducted three experiments that recruited participants who varied in trait and state anxiety (N = 134), social anxiety (N = 122), or spider fear (N = 131) to complete an assessment of selective attention to cues signalling emotionally congruent negative information. Analyses demonstrated that anxiety and fear were associated with biased attentional responding to cues signalling negative information, and that such biases could be measured with acceptable reliability (rsplit-half = .69-.81). Implications for research on the relation between emotion and attention are discussed.

Contamination fear and attention bias variability early in the COVID-19 pandemic

The onset of the COVID-19 pandemic resulted in a dramatic increase in the salience and importance of information relating to both the risk of infection, and factors that could mitigate against such risk. This is likely to have contributed to elevated contamination fear concerns in the general population. Biased attention for contamination-related information has been proposed as a potential mechanism underlying contamination fear, though evidence regarding the presence of such biased attention has been inconsistent. A possible reason for this is that contamination fear may be characterised by variability in attention bias that has not yet been examined. The current study examined the potential association between attention bias variability for both contamination-related and mitigation-related stimuli, and contamination fear during the early stages of the COVID-19 pandemic. A final sample of 315 participants completed measures of attention bias and contamination fear. The measure of average attention bias for contamination-related stimuli and mitigation-related stimuli was not associated with contamination fear (r = 0.055 and r = 0.051, p > 0.10), though both attention bias variability measures did show a small but statistically significant relationship with contamination fear (r = 0.133, p < 0.05; r = 0.147, p < 0.01). These attention bias variability measures also accounted for significant additional variance in contamination fear above the average attention bias measure (and controlling for response time variability). These findings provide initial evidence for the association between attention bias variability and contamination fear, underscoring a potential target for cognitive bias interventions for clinical contamination fear.

An experimental investigation of biased attention in non-suicidal self-injury: The effects of perfectionism and emotional valence on attentional engagement and disengagement

BACKGROUND AND OBJECTIVES

Theoretical models of non-suicidal self-injury (NSSI) propose that individuals who self-injure may find their attention more strongly captured by negative emotion, and that this intensifies distress which leads to episodes of NSSI. Elevated perfectionism is associated with NSSI, and when an individual is highly perfectionistic, a focus on perceived flaws/failures may increase risk of NSSI. We explored how history of NSSI and trait perfectionism are associated with different types of attention bias (engagement vs. disengagement) to stimuli that differ in emotional valence (negative vs positive) and perfectionism relevance (relevant vs irrelevant).

METHODS

Undergraduate university students (N = 242) completed measures of NSSI, perfectionism, and a modified dot-probe task to measure attentional engagement with and disengagement from both positive and negative stimuli.

RESULTS

There were interactions between NSSI and perfectionism in attention biases. Amongst individuals who engage in NSSI, those with elevated trait perfectionism exhibit speeded responding to and disengagement from emotional stimuli (both positive and negative). Furthermore, individuals with a history of NSSI and elevated perfectionism were slower to respond to positive stimuli, and faster to negative stimuli.

LIMITATIONS

This experiment was cross-sectional in design so does not provide information about temporal ordering of these relationships, and given the use of a community sample, would benefit from replication in clinical samples.

CONCLUSIONS

These findings lend support to the emerging idea that biased attention plays a role in how perfectionism is associated with NSSI. Future studies should replicate these findings using other behavioural paradigms and diverse samples.

Variability in caregiver attention bias to threat: A Goldilocks effect in infant emotional development?

Attention biases to threat are considered part of the etiology of anxiety disorders. Attention bias variability (ABV) quantifies intraindividual fluctuations in attention biases and may better capture the relation between attention biases and psychopathology risk versus mean levels of attention bias. ABV to threat has been associated with attentional control and emotion regulation, which may impact how caregivers interact with their child. In a relatively diverse sample of infants (50% White, 50.7% female), we asked how caregiver ABV to threat related to trajectories of infant negative affect across the first 2 years of life. Families were part of a multi-site longitudinal study, and data were collected from 4 to 24 months of age. Multilevel modeling examined the effect of average caregiver attention biases on changes in negative affect. We found a significant interaction between infant age and caregiver ABV to threat. Probing this interaction revealed that infants of caregivers with high ABV showed decreases in negative affect over time, while infants of caregivers with low-to-average ABV showed potentiated increases in negative affect. We discuss how both high and extreme patterns of ABV may relate to deviations in developmental trajectories.

Ecological anxiety and pro-environmental behaviour: The role of attention

Climate change is a serious threat to human health and the awareness of this threat can elicit ecological anxiety (eco-anxiety), which could be considered a rational and potentially adaptive response. However, the experience of eco-anxiety does not always lead to adaptive behaviour. The present study investigated whether differential patterns of selective attention towards climate-related information, and variability in this attention, might explain this inconsistent relationship. Participants completed a dot-probe assessment of attentional bias to images of both climate change mitigation strategies and of climate change causes and consequences, and measures of eco-anxiety, climate change belief, environmental self-efficacy, and general psychological symptoms. Engagement in pro-environmental behaviours was measured using a daily behavioural diary. Eco-anxiety and attentional bias independently predicted behaviour, but did not interact. However, attentional bias variability moderated the relationship between eco-anxiety and behaviour, such that higher eco-anxiety predicted greater behavioural engagement, but only when attentional bias variability was low. This was the first known study to examine the potential moderating effect of attentional bias on the relationship between eco-anxiety and pro-environmental behaviours. This growing field of research can help in identifying how the rational response of eco-anxiety can be better harnessed to motivate an adaptive response to the climate crisis.

A randomized controlled trial of supervised remotely-delivered attention bias modification for posttraumatic stress disorder

BACKGROUND

Many individuals with posttraumatic stress disorder (PTSD) have limited access to first-line treatments, warranting the development of remotely-delivered treatments. Attention bias modification (ABM), targeting perturbed threat-related attentional patterns, shows promise when delivered in-person. However, previous studies found ABM to be ineffective when delivered remotely. Randomized clinical trials usually applied two variations of ABM: ABM away from threat or attention control training (ACT) balancing attention between threat-related and neutral stimuli. We tested remotely-delivered ACT/ABM with tighter supervision and video-based interactions that resemble in-clinic protocols. We expected to replicate the results of in-clinic trials, in which ACT outperformed ABM for PTSD.

METHODS

In this double-blinded, parallel-group randomized controlled trial, 60 patients diagnosed with PTSD were randomized (ABM n = 30; ACT n = 30). Patients performed eight bi-weekly remotely-delivered supervised ABM/ACT sessions. Symptoms were assessed pre- and post-treatment with Clinician-Administered PTSD Scale 5 (CAPS-5) severity score and PTSD diagnosis as the primary outcomes. Current depressive episode, current anxiety-related comorbidity, and time elapsed since the trauma were examined as potential moderators of treatment outcome.

RESULTS

Significant decrease in CAPS-5 severity scores and PTSD diagnosis was observed following both ACT and ABM with no between-group difference. Patients without depression or whose trauma occurred more recently had greater symptom reduction in the ACT than the ABM group.

CONCLUSIONS

Contrary to our expectation, symptoms decreased similarly following ACT and ABM. Moderator analyses suggest advantage for ACT in non-depressed patients and patients whose trauma occurred more recently. Further refinements in remotely-delivered ABM/ACT may be needed.

Eye-tracking indices of attention allocation and attention bias variability are differently related to trauma exposure and PTSD

Amplified attention allocation to negative information in one's environment has been implicated in posttraumatic stress disorder (PTSD). Attention bias variability (ABV), the magnitude of attention fluctuation between negative and neutral cues, has also been found to be elevated in PTSD. While eye-tracking methodology has been used in research on attention allocation in PTSD, ABV was only explored using manual reaction-time-based indices. Thirty-seven participants with PTSD, 34 trauma-exposed healthy controls (TEHC), and 30 non-exposed healthy controls (HC) completed an eye-tracking free-viewing task in which matrices comprised of neutral and negatively-valenced faces were presented. Threat-related attention allocation was calculated as the proportion of dwell time (DT%) on negatively-valenced faces. Eye-tracking-based ABV was calculated as the standard deviation of DT% across matrices. DT% on negatively-valenced faces was greater in participants with PTSD compared to both TEHC (p = .036, d = 0.50) and HC (p < .001, d = 1.03), with TEHCs showing a greater attentional bias compared to HCs (p = .001, d = 0.84). Controlling for average fixation duration, ABV was higher in both the PTSD and TEHC groups relative to the HC group (p = .004, d = 0.40), with no difference between the two trauma-exposed groups. Biased attention allocation toward negative social information is related to PTSD pathology, whereas elevated ABV measured with eye-tracking appear to be related to trauma-exposure per-se.

Is attentional bias variability causally implicated in emotional vulnerability? A systematic review and meta-analysis

BACKGROUND

The aim of the present review was to determine whether attentional bias variability (ABV) is causally implicated in emotional vulnerability. We consider evidence examining whether ABV precedes and predicts later psychopathology, and whether modifying ABV leads to changes in psychological symptoms following an intervention.

METHODS

A systematic literature search located 15 studies that met the inclusion criteria (3 longitudinal, 12 intervention). Eligible intervention studies were also meta-analysed.

RESULTS

Preliminary evidence suggests that ABV predicts later post-traumatic stress symptomatology in interaction with number of traumatic events. The few interventions designed to reduce ABV suggest promise for improving PTSD symptoms. However, these interventions did not consistently change ABV, and where it was tested, change in ABV did not correspond to change in symptoms.

CONCLUSIONS

There is emerging evidence that ABV could represent a vulnerability factor for psychological symptoms, particularly for those exposed to trauma. This may indicate attentional control difficulties, although this remains to be tested. Conclusions regarding the causal status of ABV will depend on future high-quality randomised controlled trials.

The questionable validity of attention bias variability: Evidence from two conceptually unrelated cognitive tasks

Background

Attention bias variability is thought to measure fluctuations in attention towards and away from threat-related information and is elevated in affective disorders. However, recent evidence suggests that attention bias variability may quantify general reaction time variability rather than attention bias behavior per se.

Methods

The current study calculated "attention bias variability" from two conceptually unrelated cognitive tasks: the dot-probe task (measuring attentional bias) and the arrow flanker task (measuring cognitive control).

Results

Attention bias variability measures were correlated across these unrelated tasks. Yet, when general reaction time variability was controlled, attention bias variability across tasks was no longer correlated. In addition, the reliability of attention bias variability measures decreased when controlling for general reaction time variability. Finally, although attention bias variability calculated from the dot-probe task initially correlated with anxious symptoms, this association was no longer significant when controlling for general reaction time variability.

Limitations

Our sample was comprised of high trait anxious individuals. Replication in clinical samples is warranted.

Conclusions

These findings collectively provide strong empirical evidence that attention bias variability is not a valid measure of attention-related behavior, but reflective of general reaction time variability more broadly.

Attentional bias variability and its association with psychological and health symptoms: A meta-analysis

The present meta-analysis sought to assess the association between an emerging neurocognitive marker of psychopathology in attentional bias variability (ABV) and key psychological and health outcomes. A comprehensive literature review yielded 53 studies in 43 manuscripts (N = 5428). Overall, clinical and sub-clinical samples exhibited greater ABV than control samples (g = 0.462). Trauma samples showed significantly greater ABV than control samples (g = 0.782, medium-large effect), whereas social anxiety samples did not (g = 0.147). Similarly, ABV was associated with degree of trauma symptoms (r = 0.21 - 0.25). ABV was associated with some symptoms of depression and anxiety, although these were small and inconsistent. These findings suggest a specific relationship between ABV and post-traumatic stress symptoms, with evidence equivocal for other psychological difficulties (although also less research). Key recommendations for future research include investigating mechanisms underlying ABV and the importance of controlling for non-attentional processes, such as reaction time variability, to ensure the validity of ABV measures.

Chronic Pain, Insomnia and their Mutual Maintenance: A Call for Cognitive Bias Research

Chronic pain and insomnia are highly comorbid: Approximately 50% of those with chronic pain experience insomnia or clinically significant sleep disturbances, and 50% of those with insomnia experience chronic pain. Further, these conditions can be extremely disabling, particularly when they co-occur. There is increasing recognition of the need to tackle both chronic pain and insomnia together, as evidenced by growing empirical research in this area. Cognitive processing biases have been independently implicated in both chronic pain and in insomnia. Given their trans-diagnostic status, cognitive biases may therefore have a role in explaining the co-occurrence and mutual maintenance of these conditions. These biases also represent novel, potentially modifiable targets for treatment. However, the role of cognitive biases has not been adequately explored in comorbid chronic pain and insomnia. Here, we describe the state of cognitive bias research in chronic pain and insomnia, considering evidence for the roles of attentional bias, interpretation bias, expectancy bias, and memory bias. In reviewing the literature, it is apparent that similar cognitive biases operate in insomnia and chronic pain, with preliminary, albeit sparse, evidence of pain-related cognitive biases influencing sleep-related outcomes. On the basis of current findings and separate theoretical models, we present a novel, testable cognitive model of comorbid chronic pain and insomnia, to guide future research in this area. Key recommendations for the future of this relatively new field are provided. PERSPECTIVE: Chronic pain and insomnia are highly co-morbid, suggesting an overlap in causal mechanisms. Empirical research, although sparse, suggests that cognitive biases may play a role in their development and mutual maintenance. Our novel cognitive model generates research avenues of clinical importance for treating co-morbid chronic pain and insomnia.

Transcranial direct current stimulation does not improve clinical and neurophysiological outcomes in panic disorder: A randomized sham-controlled trial

AIM

Emerging evidence suggests that transcranial direct current stimulation (tDCS) has anxiolytic effects and may enhance emotional processing of threat and reduce threat-related attentional bias. Panic disorder (PD) is considered to be a fear network disorder along with prefrontal activity alterations. We aim to assess the effect of tDCS on clinical and physiological parameters in PD for the first time.

METHODS

In this triple-blind randomized sham-controlled pilot study, 30 individuals with PD were allocated into active and sham groups to receive 10 sessions of tDCS targeting the dorsolateral prefrontal cortex bilaterally at 2 mA for 20-min duration over 2 weeks. The clinical severity, threat-related attentional bias, interoceptive accuracy, and emotional recognition were assessed before, immediately after, and 1 month after tDCS.

RESULTS

Active tDCS, in comparison to sham, did not elicit more favorable clinical and neuropsychological/physiological outcomes in PD.

CONCLUSION

The present study provides the first clinical and neurobehavioral results of prefrontal tDCS in PD and indicates that prefrontal tDCS was not superior to sham in PD.

Cognitive processing features of elementary school children with mathematical anxiety: Attentional control theory-based explanation

A growing body of research suggests that mathematical anxiety (MA) seriously affects an individual's math achievement. However, few studies have focused on the cognitive mechanisms of MA in elementary school children. Based on attention control theory (ACT), this research aimed to explore the cognitive mechanism of MA in elementary school children using two studies. In Study 1, the dual-task paradigm of number memory and computation span was used to investigate the difference in processing efficiency between the high-mathematical anxiety (HMA) group and the low-mathematical anxiety (LMA) group. In total, 59 students with HMA and 54 students with LMA participated in Study 1. The results showed that students with HMA had lower processing efficiency in dealing with high-load math tasks. To further investigate the underlying mechanism of low processing efficiency for students with HMA, Study 2 explored the attention bias toward math-related stimuli of students with HMA using the Posner paradigm. In total, 48 students with HMA and 49 students with LMA participated in Study 2. The results showed that math trials put children with HMA in a state of heightened vigilance in general, which might be related to the low processing efficiency in dealing with high-load math tasks. These findings support the ACT and further reveal the mechanism of MA in elementary school children from a cognitive perspective.

Attention control moderates the relationship between social media use and psychological distress

BACKGROUND

Research has suggested a potential link between social media use and psychological distress, though findings have been somewhat inconsistent. Importantly, relatively few studies have examined potential moderators of this relationship, and the majority have relied upon self-report social media use. The present study examined the potential moderating role of attention control, in the relationship between social media use and anxiety and employed an objective measure of social media use via smartphone data.

METHODS

Social media use was captured via participants smartphones over a one-week period. Inhibitory attention control was assessed via antisaccade task performance. In addition to a measure of psychological distress that was completed by participants (final n = 69, female = 35, male = 31, did not specify = 3).

RESULTS

Attention control, as indexed via total antisaccade accuracy, moderated the relationship between social media use and psychological distress. This relationship was such that those with lower levels of attention control showed a significant positive relationship between social media use and psychological distress, whereas no relationship was observed among those with average or high attention control.

LIMITATIONS

While capturing objective mobile social media data, future research could also benefit from incorporating usage data from computers and other devices.

CONCLUSIONS

The findings of this study highlight a potential important factor that may alter the impact of social media use on emotional wellbeing. One possible implication of this finding is that heavy social media use may have problematic mental health consequences specifically for those who experience difficulties with attention control.

Cognitive Biases in Type 2 Diabetes and Chronic Pain

The aim of the present study was to investigate the role of cognitive processing biases in Type 2 diabetes (T2D) and chronic pain, 2 conditions that are highly co-morbid. The final sample comprised 333 individuals (86 with T2D and chronic pain, 65 with chronic pain, 76 with T2D, 106 without any form of diabetes or pain). Participants completed questionnaires assessing pain and diabetes-related outcomes, as well as measures of interpretation bias, attentional bias, and attentional bias variability. In a 2 (pain status) x 2 (T2D status) x 3 (bias valence) ANOVA design, interpretation biases were found to be stronger in individuals with chronic pain than individuals without pain, although there were no differences according to T2D status. No group differences in attentional biases were found. Among individuals with T2D, greater interpretation bias was associated with better blood glucose control, but also greater fear of hypoglycemia. For individuals with chronic pain, greater interpretation bias and attentional bias variability was associated with worse pain outcomes. Whilst interpretation bias may be present in chronic pain, it also appears to indicate better glycemic control in individuals with T2D. These findings suggest a more dynamic approach to understanding cognitive bias is needed, to consider when these biases are more or less adaptive, so that they can be better harnessed to improve outcomes for individuals with T2D who experience chronic pain. PERSPECTIVE: These findings suggest that cognitive biases can be associated with psychopathology in chronic pain and in T2D, but can also potentially be adaptive in those with T2D. Diabetes management interventions may require a careful balance between promoting sufficient concern to motivate engagement in adaptive diabetes self-management, whilst also minimizing fear of hypoglycemia.

Expressions of positive and negative shyness in preschool-age children: Temperamental correlates and visual attention to emotions

Recent empirical evidence shows heterogeneity in the expression of shyness in children. Some children tend to express their shyness displaying positive affect along with gaze aversions (positive shyness), whereas others display more negative emotional reactions accompanied by gaze aversions (negative shyness). Temperamental differences in approach-avoidance tendencies are likely to explain these differences in shyness expression in children and influence their visual attention to social stimuli, yet little empirical attention has been devoted to these associations. Our study examined the temperamental profile (approach, fear, and inhibitory control) associated with positive and negative shyness and the relation between expression of shyness and attention to social stimuli in 47 children aged 3-6 years. Children's positive and negative expressions of shyness were assessed using a performance task. Visual attention to facial emotional expressions was measured with the dot - probe task, and temperament was measured with maternal reports. Positive shyness was found to be positively associated with temperamental dimensions of approach, inhibitory control, and fear. Positive shyness was significantly associated with attentional orientation to positive facial expressions and with less attentional avoidance of threatening facial expressions. Negative shyness was positively associated only with temperamental fear, and no associations were found with attention to social stimuli. Our study provides empirical support for the association between temperament and the multidimensional character of the expression of positive shyness and adds relevant evidence regarding the connection between the expression of shyness and attention to social stimuli.

Lessons unlearned: A conceptual review and meta-analysis of the relationship between the Attention Control Scale and Objective Attention Control

Attention control is central to many models of emotion. Among the most common measures of attention, control is the Attention Control Scale (ACS), which has exerted considerable influence in terms of the volume and breadth of research findings, with its use in cognitive-experimental research continuing to increase in recent years. However, there are growing concerns about whether the ACS genuinely indexes attention control. The present paper considers the context and development of the ACS, reviews and meta-analyses the available evidence regarding its association with objective measures of attention control. Meta-analytic results from nine studies (total n = 1274) indicated that the full-scale ACS was not significantly associated with behavioural measures of attentional control (r = .067, p = .093, N = 1274, 95% CI: -.011, .145). Findings indicated likely missing studies with lower correlations suggesting the true association may be smaller. Limited evidence of shared variance between subjective and objective measures of attention control contrasts with considerable evidence that the scale is closely correlated with dispositional traits (e.g. anxiety, agreeableness) that could plausibly influence responding. Thus, on the balance of current findings, we conclude that there is little compelling evidence that responding on the ACS reflects genuine attention control abilities.

Fluctuations in attentional bias for food and the role of executive control

Research has shown repeatedly that overweight and obesity are associated with more fluctuations in attentional bias (AB), as reflected in trial-level bias scores (TL-BS). More specifically, people with a high BMI more frequently alternate their attention towards and away from food over time. The current study proposed and tested a model on the mechanism behind the positive association between variability of AB for food and BMI. It was hypothesized that poor executive control (poor response inhibition and lower sustained attention) would be related to both higher BMI and more fluctuations in AB for food and this would, at least partly, explain the significant relationship between variability of AB for food and BMI. To test our hypotheses, 99 female participants completed both an online food dot-probe task and an online stop-signal task. It was found that response inhibition was significantly related to BMI, whereas, contrary to our hypotheses, variability of AB for food was not related to BMI nor to executive control. In conclusion, this study revealed a relation between poor inhibitory control and higher BMI. However, a role of executive control in fluctuations in attention for food could not be established.

Food Palatability Directs Our Eyes Across Contexts

It is often believed that attentional bias (AB) for food is a stable trait of certain groups, like restrained eaters. However, empirical evidence from this domain is inconsistent. High-calorie foods are double-faceted, as they are both a source of reward and of weight/health concern. Their meaning might depend on the food-related context (i.e., focus on health or on enjoyment), which in turn could affect AB for food. This study primed 85 females with hedonic, healthy, and neutral contexts successively and examined whether food-related context affected AB for food and if effects were moderated by dietary restraint. Both the mean tendencies of AB for food and variability of AB for food were assessed in a food dot-probe task with a recording of both reaction times and eye movements. Contrary to our hypotheses, AB for food was not significantly affected by either context or the interaction between context and dietary restraint. Instead, liking of the presented food stimuli was related to longer initial fixations and longer dwell time on the food stimuli. In addition, in line with prior research, body mass index (BMI) was correlated with variability of AB for food instead of mean AB for food. In conclusion, this study did not find any support that AB for food is dependent on food-related context, but interestingly, reaction time-based variability of AB for food seems to relate to BMI, and eye movement-based mean AB seems to relate to appetitive motivation.

The relationship between worry and attentional bias to threat cues signalling controllable and uncontrollable dangers

People vary in the frequency with which they worry and there is large variation in the degree to which this worry disrupts their everyday functioning. Heightened tendency to experience disruptive worry is characterised by an attentional bias towards threat. While this attentional bias is often considered maladaptive, it can be adaptive when it concerns threat cues signalling dangers that can be mitigated through personal action. In this case, the resulting worry may increase the likelihood of this action being taken, with beneficial rather than disruptive consequences for everyday functioning. Thus, depending on its focus, attentional bias to threat could potentially drive worry that is high or low in disruptiveness. The current study addressed this possibility, by testing the novel hypothesis that the degree to which worry is disruptive is a function of the degree to which this attentional bias concerns all threat cues, rather than being restricted to threat cues signalling controllable dangers. Participants completed a novel probe task assessing their attention to threat cues signalling a future danger that could be controlled on some blocks, but not on others. Thus, the task revealed the degree to which their selective attention to threat cues was ‘aligned’ with danger controllability, by being more evident on blocks that permitted participant control of the danger signalled by the threat cues. The results indicate, contradicting the hypothesis under test, participants who reported high levels of disruptive worry demonstrated alignment of attentional bias to variations in danger controllability, whereas this was not the case for participants who reported high levels of non-disruptive worry. While caution is needed in the interpretation of the results due to methodological limitations, this study provides a new conceptual and methodological framework for future research on the attentional basis of individual differences in the tendency to experience disruptive vs non-disruptive worry.

The stability and reliability of attentional bias measures in the dot-probe task: Evidence from both traditional mean bias scores and trial-level bias scores

A new method of calculating attentional bias from the dot-probe task measures fluctuations in bias towards and away from emotional stimuli over time using trial level bias score metrics. We assessed the stability and reliability of traditional attentional bias scores and trial level bias score measures of attentional bias across time in two five-block dot-probe task experiments in non-clinical samples. In experiments 1 and 2, both traditional attentional bias scores and trial level bias score measures of attentional bias did not habituate/decrease across time. In general, trial level bias score metrics (i.e., attention bias variability as well as the mean biases toward and away from threat) were more reliable than the traditional attention bias measure. This pattern was observed across both experiments. The traditional bias score, however, did improve in reliability in the later blocks of the fearful face dot-probe task. Although trial level bias score measures did not habituate and were more reliable across blocks, these measures did not correlate with state or trait anxiety. On the other hand, trial level bias score measures were strongly correlated with general reaction time variability-and after controlling for this effect no longer superior in reliability in comparison to the traditional attention bias measure. We conclude that general response variability should be removed from trial level bias score measures to ensure that they truly reflect attention bias variability.