Eye-tracking measurement of attention bias to social threat among youth: A replication and extension study.

Attentional bias to social threat cues has been linked to heightened anxiety and irritability in youth. Yet, inconsistent methodology has limited replication and led to mixed findings. The current study aims to 1) replicate and extend two previous pediatric studies demonstrating a relationship between negative affectivity and attentional bias to social threat and 2) examine the test-retest reliability of an eye-tracking paradigm among a subsample of youth. Attention allocation to negative versus non-negative emotional faces was measured using a free-viewing eye-tracking task among youth (N=185 total, 60% female, M age=13.10 years, SD age=2.77) with three face-pair conditions: happy-angry, neutral-disgust, sad-happy. Replicating procedures of two previous studies, linear mixed-effects models compared attention bias between children with anxiety disorders and healthy controls. Bifactor analysis was used to parse shared versus unique facets of general negative affectivity (i.e., anxiety, irritability), which were then examined in relation to attention bias. Test-retest reliability of the bias-index was estimated among a subsample of youth (N=36). No significant differences in attention allocation or bias emerged between anxiety and healthy control groups. While general negative affectivity across the sample was not associated with attention bias, there was a positive relationship for anxiety and irritability on duration of attention allocation toward negative faces. Test-retest reliability for attention bias was moderate (r=0.50, p<.01). While anxiety-related findings from the two previous studies were not replicated, the relationship between attention bias and facets of negative affect suggests a potential target for treatment. Evidence for test-retest reliability encourages future use of the eye-tracking task for researchers.

Self-stigma mediates the relationships between childhood maltreatment and symptom levels of PTSD, depression, and anxiety.

Background: Childhood maltreatment is a risk factor for developing multiple forms of psychopathology, including depression, posttraumatic stress disorder (PTSD), and anxiety. Yet, the mechanisms linking childhood maltreatment and these psychopathologies remain less clear.Objective: Here we examined whether self-stigma, the internalization of negative stereotypes about one's experiences, mediates the relationship between childhood maltreatment and symptom severity of depression, PTSD, and anxiety.Methods: Childhood trauma survivors (N = 685, Mage = 36.8) were assessed for childhood maltreatment, self-stigma, and symptoms of depression, PTSD, and anxiety. We used mediation analyses with childhood maltreatment as the independent variable. We then repeated these mediation models separately for childhood abuse and neglect, as well as the different subtypes of childhood maltreatment.Results: Self-stigma significantly mediated the relationship between childhood maltreatment and depression, PTSD, and anxiety symptoms. For sexual abuse - but not physical or emotional abuse - a significant mediation effect of self-stigma emerged on all symptom types. For childhood neglect, self-stigma significantly mediated the relationship between both emotional and physical neglect and all symptom types.Conclusion: Our cross-sectional study suggests that different types of childhood maltreatment experiences may relate to distinct mental health problems, potentially linked to increased self-stigma. Self-stigma may serve as an important treatment target for survivors of childhood abuse and neglect.

Childhood maltreatment is linked to depression, PTSD, and anxiety symptoms.Self-stigma, or internalizing negative stereotypes, plays a significant role in mediating this relationship.Different types of maltreatment are linked to varying levels of self-stigma and symptom severity.

Towards implementation of cognitive bias modification in mental health care: State of the science, best practices, and ways forward.

Cognitive bias modification (CBM) has evolved from an experimental method testing cognitive mechanisms of psychopathology to a promising tool for accessible digital mental health care. While we are still discovering the conditions under which clinically relevant effects occur, the dire need for accessible, effective, and low-cost mental health tools underscores the need for implementation where such tools are available. Providing our expert opinion as Association for Cognitive Bias Modification members, we first discuss the readiness of different CBM approaches for clinical implementation, then discuss key considerations with regard to implementation. Evidence is robust for approach bias modification as an adjunctive intervention for alcohol use disorders and interpretation bias modification as a stand-alone intervention for anxiety disorders. Theoretical predictions regarding the mechanisms by which bias and symptom change occur await further testing. We propose that CBM interventions with demonstrated efficacy should be provided to the targeted populations. To facilitate this, we set a research agenda based on implementation frameworks, which includes feasibility and acceptability testing, co-creation with end-users, and collaboration with industry partners.

Does disconfirmatory evidence shape safety-and danger-related beliefs of trauma-exposed individuals?

Recent accounts of predictive processing in posttraumatic stress disorder (PTSD) suggest that trauma-exposed individuals struggle to update trauma-related hypotheses predicting danger, which may be involved in the etiology and maintenance of this disorder. Initial research supports this account, documenting an association between trauma-exposure, impaired expectation updating, and PTSD symptoms. Yet, no study to date has examined biased belief updating in PTSD using a scenario-based approach.Objective: Here, we examined the predictive processing account among trauma-exposed and non-trauma-exposed individuals using a modified Trauma-Related version of the Bias Against Disconfirmatory Evidence task.Method: The task presents both danger-and safety-related scenarios highly relevant for trauma-exposed individuals. For each scenario, participants viewed several explanations and rated their plausibility. Their ability to update their initial interpretation following new-contradictory information was assessed.Results: Preregistered analyses did not reveal any significant findings. Based on indications that our sample may not have been sufficiently powered, we conducted exploratory analyses in an extended sample of participants. These analyses yielded a significant association between reduced belief updating and PTSD symptoms which was evident for disconfirming both safety and danger scenarios. However, the effect sizes we found were in the small-to-medium range.Conclusion: Although preliminary, our current findings support initial evidence that individuals with higher PTSD symptoms show a higher resistance to update their beliefs upon new disconfirmatory evidence. Our results should be interpreted cautiously in light of the extended sample and the limitations of the current study.

We developed a modified version of the Bias Against Disconfirmatory Evidence task.We found significant associations between PTSD symptoms and belief updating.The association was evident for disconfirming both safety and danger scenarios.

The role of income and emotional engagement in the efficacy of a brief help-seeking video intervention for essential workers.

BACKGROUND: Recently we showed that a brief video-based intervention can improve openness to help-seeking and decrease treatment-related stigma among essential workers, particularly for female and Black individuals viewing demographically matched protagonists. The current randomized controlled trial explored two additional factors which may enhance the efficacy of this intervention: income level, known to be associated with help-seeking, and emotional engagement, which may enhance a person's ability to engage with the intervention. We hypothesized that income level and emotional engagement would correlate with changes in openness to help-seeking ("openness") and stigma. METHODS: Essential workers (N = 1405) randomly viewed a control video or a brief video of an actor portraying an essential worker describing COVID-19-related anxiety and depression and treatment benefits. Openness and stigma were assessed at baseline, post-intervention, and 30-day follow-up, with emotional engagement assessed post-intervention. RESULTS: The brief video intervention demonstrated immediate increases in openness (p < 0.001, Cohen's d = 0.39) and decreases in stigma (p < 0.001, d = 0.14) compared to the control. Reported income level affected neither dependent variable. Participants who scored higher on the emotional engagement scale reported greater change in openness and stigma. LIMITATIONS: Use of a crowdsourcing platform may limit generalizability. CONCLUSIONS: The 3-min video showed modest effect sizes for immediate increased openness and reduced stigma, with greater emotional engagement heightening the effect, suggesting a possible mediator to the intervention. Income level did not affect intervention outcomes. Research should explore the role of income by adding income-related content to the brief-video interventions and assessing whether links to referrals could foster immediate behavioral change. TRIAL REGISTRATION: NCT04964570.

Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium.

Background: Intrusive traumatic re-experiencing domain (ITRED) was recently introduced as a novel perspective on posttraumatic psychopathology, proposing to focus research of posttraumatic stress disorder (PTSD) on the unique symptoms of intrusive and involuntary re-experiencing of the trauma, namely, intrusive memories, nightmares, and flashbacks. The aim of the present study was to explore ITRED from a neural network connectivity perspective. Methods: Data were collected from 9 sites taking part in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) PTSD Consortium (n= 584) and included itemized PTSD symptom scores and resting-state functional connectivity (rsFC) data. We assessed the utility of rsFC in classifying PTSD, ITRED-only (no PTSD diagnosis), and trauma-exposed (TE)-only (no PTSD or ITRED) groups using a machine learning approach, examining well-known networks implicated in PTSD. A random forest classification model was built on a training set using cross-validation, and the averaged cross-validation model performance for classification was evaluated using the area under the curve. The model was tested using a fully independent portion of the data (test dataset), and the test area under the curve was evaluated. Results: rsFC signatures differentiated TE-only participants from PTSD and ITRED-only participants at about 60% accuracy. Conversely, rsFC signatures did not differentiate PTSD from ITRED-only individuals (45% accuracy). Common features differentiating TE-only participants from PTSD and ITRED-only participants mainly involved default mode network-related pathways. Some unique features, such as connectivity within the frontoparietal network, differentiated TE-only participants from one group (PTSD or ITRED-only) but to a lesser extent from the other group. Conclusions: Neural network connectivity supports ITRED as a novel neurobiologically based approach to classifying posttrauma psychopathology.

Smaller total and subregional cerebellar volumes in posttraumatic stress disorder: a mega-analysis by the ENIGMA-PGC PTSD workgroup.

Although the cerebellum contributes to higher-order cognitive and emotional functions relevant to posttraumatic stress disorder (PTSD), prior research on cerebellar volume in PTSD is scant, particularly when considering subregions that differentially map on to motor, cognitive, and affective functions. In a sample of 4215 adults (PTSD n = 1642; Control n = 2573) across 40 sites from the ENIGMA-PGC PTSD working group, we employed a new state-of-the-art deep-learning based approach for automatic cerebellar parcellation to obtain volumetric estimates for the total cerebellum and 28 subregions. Linear mixed effects models controlling for age, gender, intracranial volume, and site were used to compare cerebellum volumes in PTSD compared to healthy controls (88% trauma-exposed). PTSD was associated with significant grey and white matter reductions of the cerebellum. Compared to controls, people with PTSD demonstrated smaller total cerebellum volume, as well as reduced volume in subregions primarily within the posterior lobe (lobule VIIB, crus II), vermis (VI, VIII), flocculonodular lobe (lobule X), and corpus medullare (all p-FDR < 0.05). Effects of PTSD on volume were consistent, and generally more robust, when examining symptom severity rather than diagnostic status. These findings implicate regionally specific cerebellar volumetric differences in the pathophysiology of PTSD. The cerebellum appears to play an important role in higher-order cognitive and emotional processes, far beyond its historical association with vestibulomotor function. Further examination of the cerebellum in trauma-related psychopathology will help to clarify how cerebellar structure and function may disrupt cognitive and affective processes at the center of translational models for PTSD.

Home-based cognitive bias modification training for reducing maladaptive fear in patients with suspected acute coronary syndrome: a pilot randomized clinical trial.

BACKGROUND: Patients evaluated in an emergency department for suspected acute coronary syndromes (ACS; e.g., myocardial infarction) often experience a lingering fear of recurrence, which may adversely affect their mental health and adherence to recommended health behaviors. Cognitive bias modification training (CBMT) is an acceptable, easy-to-use intervention that reduces fear of recurrence in cancer patients, and reduces fear and anxiety in other populations, providing an alternative to psychotherapy or counseling-based approaches. Feasibility testing is needed to assess whether a cardiac-related version of CBMT is acceptable to patients with elevated threat perceptions related to their suspected ACS. METHODS: We developed a tablet-based CBMT intervention tailored to reduce cardiac-related fear of recurrence. In this double-blinded feasibility trial, patients with elevated threat perceptions related to a recent suspected ACS were randomized either to a 4-week, 8-session, tablet-delivered intervention (CBMT) group or to a sham attention control group. Feasibility outcomes included the proportion of eligible patients who enrolled, drop-out rate, intervention compliance rate, acceptability/pleasantness and usability ratings, and task engagement (i.e., accuracy, response time). RESULTS: Of 49 eligible patients with suspected ACS and elevated threat perceptions recruited from NewYork-Presbyterian Hospital, over half (53.1%) enrolled after receiving a description of study procedures. Of the 26 randomized patients (mean age 59.15 years, 50% women), 2 patients (7.7%) dropped out. Additionally, 4 (15.4%) enrolled patients were not able to complete the tablet tasks, either due to difficulties with the technology or an inability to process the visually presented linguistic information at a sufficient speed. Still, among patients who returned the tablets (19 returned/20 received; 95%), most completed all assigned tablet tasks (intervention or control; 10/19; 52.6%), reporting that the tablets were easy to use and that the tasks were pleasant to complete. CONCLUSION: Current findings suggest that cardiac-related CBMT is a promising and generally acceptable intervention for suspected ACS patients with cardiac-related threat perceptions which are akin to fear of recurrence. Nevertheless, challenges related to tablet usage indicate that the intervention user-experience should be further refined to optimize usability. TRIAL REGISTRATION: Registered at ClinicalTrials.gov on 2/25/2019; NCT03853213. Registered with the Open Science Framework on 11/20/2017; https://osf.io/k7g8c/ .

Aberrant reward learning, but not negative reinforcement learning, is related to depressive symptoms: an attentional perspective.

BACKGROUND: Aberrant reward functioning is implicated in depression. While attention precedes behavior and guides higher-order cognitive processes, reward learning from an attentional perspective - the effects of prior reward-learning on subsequent attention allocation - has been mainly overlooked. METHODS: The present study explored the effects of reward-based attentional learning in depression using two separate, yet complimentary, studies. In study 1, participants with high (HD) and low (LD) levels of depression symptoms were trained to divert their gaze toward one type of stimuli over another using a novel gaze-contingent music reward paradigm - music played when fixating the desired stimulus type and stopped when gazing the alternate one. Attention allocation was assessed before, during, and following training. In study 2, using negative reinforcement, the same attention allocation pattern was trained while substituting the appetitive music reward for gazing the desired stimulus type with the removal of an aversive sound (i.e. white noise). RESULTS: In study 1 both groups showed the intended shift in attention allocation during training (online reward learning), while generalization of learning at post-training was only evident among LD participants. Conversely, in study 2 both groups showed post-training generalization. Results were maintained when introducing anxiety as a covariate, and when using a more powerful sensitivity analysis. Finally, HD participants showed higher learning speed than LD participants during initial online learning, but only when using negative, not positive, reinforcement. CONCLUSIONS: Deficient generalization of learning characterizes the attentional system of HD individuals, but only when using reward-based positive reinforcement, not negative reinforcement.

Exploring the 'mood congruency' hypothesis of attention allocation - An eye-tracking study.

BACKGROUND: The 'mood-congruency' hypothesis of attention allocation postulates that individuals' current emotional states affect their attention allocation, such that mood-congruent stimuli take precedence over non-congruent ones. This hypothesis has been further suggested as an underlying mechanism of biased attention allocation in depression. METHODS: The present research explored the mood-congruency hypothesis using a novel video-based mood elicitation procedure (MEP) and an established eye-tracking attention allocation assessment task, elaborating prior research in the field. Specifically, in Study 1 (n = 91), a video-based MEP was developed and rigorously validated. In study 2 (n = 60), participants' attention allocation to sad and happy face stimuli, each presented separately alongside neutral faces, was assessed before and after the video-based MEP, with happiness induced in one group (n = 30) while inducing sadness in the other (n = 30). RESULTS: In Study 1, the MEP yielded the intended modification of participants' current mood states (eliciting either sadness or happiness). Study 2 showed that while the MEP modified mood in the intended direction in both groups, replicating the results of Study 1, corresponding changes in attention allocation did not ensue in either group. A Bayesian analysis of pre-to-post mood elicitation changes in attention allocation supported this null finding. Moreover, results revealed an attention bias to happy faces across both groups and assessment points, suggestive of a trait-like positive bias in attention allocation among non-selected participants. CONCLUSION: Current results provide no evidence supporting the mood-congruency hypothesis, which suggests that (biased) attention allocation may be better conceptualized as a depressive trait, rather than a mood-congruent state.

Attention bias vs. attention control modification for social anxiety disorder: A randomized controlled trial.

Gaze-Contingent Music Reward Therapy (GC-MRT) is an eye-tracking-based attention bias modification protocol for social anxiety disorder (SAD) with established clinical efficacy. However, it remains unclear if improvement following GC-MRT hinges on modification of threat-related attention or on more general enhancement of attention control. Here, 50 patients with SAD were randomly allocated to GC-MRT using either threat faces or shapes. Results indicate comparable reductions in social anxiety and co-morbid depression symptoms in the two conditions. Patients in the shapes condition showed a significant increase in attention control and a reduction in attention to both the trained shapes and threat faces, whereas patients in the faces condition showed a reduction in attention to threat faces only. These findings suggest that enhancement of attention control, independent of valence-specific attention modification, may facilitate reduction in SAD symptoms. Alternative interpretations and clinical implications of the current findings are discussed.

The free-viewing matrix task: A reliable measure of attention allocation in psychopathology.

Aberrant attention allocation has been implicated in the etiology and maintenance of a range of psychopathologies. However, three decades of research, relying primarily on manual response-time tasks, have been challenged on the grounds of poor reliability of its attention bias indices. Here, in a large, multisite, international study we provide reliability information for a new eye-tracking-based measure of attention allocation and its relation to psychopathology and age. Data from 1567 participants, across a wide range of psychiatric diagnoses and ages, were aggregated from nine sites around the world. Of these, 213 participants also provided retest data. Acceptable overall internal consistency and test-retest reliability were observed among adult participants (Cronbach's alpha = 0.86 and r(213) = 0.89, respectively), as well as across all examined psychopathologies. Youth demonstrated lower internal consistency scores (Cronbach's alpha = 0.65). Finally, the percent dwell time index derived from the task statistically differentiated between healthy participants and participants diagnosed with social anxiety disorder, major depression, and post-traumatic stress disorder. These results potentially address a long-standing reliability crisis in this research field. Aberrant attention allocation patterns in a variety of psychiatric disorders may be targeted with the hope of affecting symptoms. The attention allocation index derived from the matrix task offers reliable means to measure such cognitive target engagement in clinical contexts.

Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. RESULTS: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. CONCLUSION: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.

The Seeking Proxies for Internal States (SPIS) Model of OCD - A Comprehensive Review of Current Findings and Implications for Future Directions.

The Seeking Proxies for Internal States (SPIS) model of obsessive-compulsive disorder (OCD) explains symptoms of OCD as stemming from attenuated access to internal states, which is compensated for by using proxies, which are indices of these states that are more discernible or less ambiguous. Internal states in the SPIS model are subjective states that are not accessible to others, encompassing physiological states, motivations, preferences, memories, and emotions. Compensatory proxies in OCD include fixed rules and rituals as well as seeking and relying on external information. In the present review, we outline the SPIS model and describe its basic tenets. We then use the SPIS conceptualization to explain two pivotal OCD-related phenomena - obsessive doubt and compulsive rituals. Next, we provide a detailed overview of current empirical evidence supporting the SPIS in several domains, including physiological states, emotions, sense of understanding, decision-making, and sense of agency. We conclude by discussing possible neural correlates of the difficulty in accessing internal states, focusing on the anterior insular cortex (AIC) and highlighting potential clinical implications of the model to the treatment of OCD.

Underlying Hippocampal Mechanism of Posttraumatic Stress Disorder Treatment Outcome: Evidence From Two Clinical Trials.

Background: The hippocampus plays an important role in the pathophysiology of posttraumatic stress disorder (PTSD) and its prognosis. Accumulating findings suggest that individuals with larger pretreatment hippocampal volume are more likely to benefit from PTSD treatment, but the mechanism underlying this effect is unknown. We investigated whether further increase in hippocampal volume during treatment explains the better prognosis of individuals with greater pretreatment hippocampal volume. Methods: We collected structural magnetic resonance imagesfrom patients with PTSD before and after treatment. We examined whether larger hippocampal volume moderates the effect of increased hippocampal volume during treatment on symptom reduction. Given the relatively small sample sizes of treatment studies with pre- and posttreatment magnetic resonance imaging, we focused on effect sizes and sought to replicate findings in an external sample. We tested our hypothesis in study 1 (N = 38; prolonged exposure therapy) and then tested whether the results could be externally replicated in study 2 (N = 20; ketamine infusion followed by exposure therapy). Results: Findings from study 1 revealed that increased right hippocampal volume during treatment was associated with greater PTSD symptom reduction only in patients with greater pretreatment right hippocampal volume (p = .03; η2 = 0.13, a large effect). Findings were partially replicated in study 2 for depressive symptoms (p = .034; η2 = 0.25, a very large effect) and for PTSD symptoms (p = .15; η2 = 0.15, a large effect). Conclusions: Elucidating increased hippocampal volume as one of the neural mechanisms predictive of therapeutic outcome for individuals with larger pretreatment hippocampal volume may help identify clinical targets for this subgroup.

Increased attention allocation to stimuli reflecting end-states of compulsive behaviors among obsessive compulsive individuals.

Attentional research in OCD has focused solely on threat stimuli, assumed to provoke related obsessions and ensuing compulsions. OCD-related stimuli depicting the completion of compulsive acts ("end-states") have yet to be examined. Past research also neglected to explore the reliability of tasks used. Here, attention allocation to both stimuli types was examined. Participants with high (HOC) and low (LOC) levels of obsessive-compulsive symptoms freely viewed three blocks of 30 two-by-two picture matrices, each including two OCD-related (cleaning\checking\ordering) and two neutral pictures, presented for eight seconds, while their gaze was recorded. Participants completed two task versions - one with traditional threat stimuli and one with novel stimuli signaling compulsions end-states. Only the end-state version yielded significant results, showing that HOC participants, compared to LOC participants, spent significantly more time fixating on OCD-related stimuli. Results remained significant after controlling for anxiety, stress, and depression. Task reliability was high. OCD-related stimuli signaling end-states of compulsive behavior should be incorporated in attentional research in OCD.

Anxiety and Depression Symptoms Among Young U.S. Essential Workers During the COVID-19 Pandemic.

OBJECTIVE: Emerging cross-sectional data indicate that essential workers in the COVID-19 era face increased mental health risks. This study longitudinally examined clinical symptoms of generalized anxiety disorder, depression, and posttraumatic stress disorder (PTSD) among U.S. essential workers, including health care workers and workers in indispensable occupations such as manufacturing, food industry, construction, transportation, hospitality, and emergency services, during the COVID-19 pandemic. The authors anticipated high symptom levels and greater symptom severity among women versus men and among younger adults compared with older adults. Analyses also explored the association between COVID-19 vaccination status and clinical symptoms. METHODS: This four-wave online survey study assessed clinical symptoms in a convenience sample of 4,136 essential workers at baseline and 14, 30, and 90 days between August and December 2021. Symptoms of anxiety, depression, and PTSD were measured with the Generalized Anxiety Disorder-7, Patient Health Questionnaire-9, and Primary Care PTSD Screen instruments, respectively. RESULTS: At every time point, 74%-78% of respondents reported symptoms of anxiety and depression, which were highest among younger adults (ages 18-22 years), females, and transgender respondents. Vaccinated participants had slightly higher symptom levels than unvaccinated respondents. Rates of clinical symptoms did not change significantly over time. CONCLUSIONS: Essential workers consistently reported symptoms of generalized anxiety, depression, or PTSD, especially younger adult, female, and transgender participants. The overwhelming and unprecedented nature of the COVID-19 pandemic underscores the need to offer mental health care to essential workers, especially those in these subgroups. Employers and administrators should support and proactively encourage employees to access care when 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.

Attention Bias Modification Treatment Versus a Selective Serotonin Reuptake Inhibitor Or Waiting List Control for Social Anxiety Disorder: A Randomized Clinical Trial.

OBJECTIVE: Social anxiety disorder is common and impairing. The efficacy of pharmacotherapy is moderate, highlighting the need for alternative therapies. This study compared the efficacy of gaze-contingent music reward therapy (GC-MRT), an eye-tracking-based attention bias modification treatment, with a selective serotonin reuptake inhibitor (SSRI) treatment or a waiting list control condition in reducing social anxiety disorder symptoms. Superior clinical effects of similar magnitude were expected for the active treatments relative to the control condition. METHODS: Participants were 105 treatment-seeking adults with social anxiety disorder, randomly allocated to 12 weeks of GC-MRT, SSRI, or waiting list control. Mean changes in clinician-rated and self-reported social anxiety symptoms from baseline to mid- and posttreatment assessments were compared between groups using generalized estimating equations. Changes in attentional dwell time on threat were also examined. RESULTS: Analysis indicated a significant differential reduction in symptoms between groups. Patients in the GC-MRT and SSRI groups had lower social anxiety scores at the mid- and posttreatment assessments compared with patients in the waiting list group. The efficacy of the active treatments did not differ. Only patients in the GC-MRT group showed reduction in dwell time on threat from baseline to posttreatment assessment. CONCLUSIONS: Eye-tracking-based attention bias modification is an acceptable and effective treatment option for social anxiety disorder.

Attention allocation in OCD: A systematic review and meta-analysis of eye-tracking-based research.

INTRODUCTION: Cognitive models of obsessive-compulsive disorder (OCD) implicate heightened attention allocation to stimuli related to one's obsessions in the disorder. Recently, to overcome several limitations of reaction time-based measures, eye-tracking methodology has been increasingly used in attentional research. METHODS: A meta-analysis of studies examining attention allocation towards OCD-related vs. neutral stimuli, using eye-tracking methodology and a group-comparison design, was conducted conforming to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Separate meta-analyses were performed for attentional vigilance (both latency and location of first fixations) and maintenance (total dwell time and total fixation count, conjointly). Each meta-analysis was conducted twice - once including all studies (main analysis) and once only including studies using the free-viewing paradigm (secondary analysis). RESULTS: The systematic search yielded a total of nine studies. Of those, eight provided the needed data to be included in the meta-analysis. No evidence emerged for vigilance via latency to first fixation. Vigilance reflected via first fixation location emerged in the main analysis, but not in the secondary one. Evidence for attentional maintenance was found only when analyzing free-viewing studies exclusively (the secondary analysis). LIMITATIONS: To increase the accuracy of the research question, correlational studies were excluded, resulting in a small number of available studies. CONCLUSIONS: OCD may be characterized by vigilance, but mainly in tasks entailing specific demands and/or goals. Conversely, attentional maintenance may be evident only when using tasks that pose no requirements or demands for participants.