The impact of PTSD symptoms on suicide ideation in time of terror and war: A nationwide prospective study on the moderating role of loneliness.

The terrorist attack of October 7, 2023, and its accompanying war have increased the risk for posttraumatic stress symptoms (PTSS) and suicide ideation (SI). In this national prospective cohort study, we examined the extent to which a sense of loneliness moderates the association between PTSS and SI in the wake of the October 7th attack and the Israel-Hamas war. A representative sample of 710 Israeli adults (362 female, 51.1 %) aged 18-85 (M = 41.01, SD = 13.72) participated in a longitudinal study assessing depression, current SI, and loneliness at two time points: T1, one month before the attack (August 2023) and T2 (November 2023), one month after the attack. We found two significant interactions in which a sense of loneliness at T2 moderated the link between both PTSS at T1 and T2 and current SI at T2. Specifically, the level of PTSS contributed to current SI at T2 more strongly among individuals reporting higher loneliness levels than those reporting low loneliness levels. Clinicians treating individuals coping with high PTSS levels should attend to their patients' sense of loneliness, as it comprises a significant risk factor for current SI and may be considered an important target in treatment.

Explaining deep learning-based representations of resting state functional connectivity data: focusing on interpreting nonlinear patterns in autism spectrum disorder.

Background: Resting state Functional Magnetic Resonance Imaging fMRI (rs-fMRI) has been used extensively to study brain function in psychiatric disorders, yielding insights into brain organization. However, the high dimensionality of the rs-fMRI data presents significant challenges for data analysis. Variational autoencoders (VAEs), a type of neural network, have been instrumental in extracting low-dimensional latent representations of resting state functional connectivity (rsFC) patterns, thereby addressing the complex nonlinear structure of rs-fMRI data. Despite these advances, interpreting these latent representations remains a challenge. This paper aims to address this gap by developing explainable VAE models and testing their utility using rs-fMRI data in autism spectrum disorder (ASD). Methods: One-thousand one hundred and fifty participants (601 healthy controls [HC] and 549 patients with ASD) were included in the analysis. RsFC correlation matrices were extracted from the preprocessed rs-fMRI data using the Power atlas, which includes 264 regions of interest (ROIs). Then VAEs were trained in an unsupervised manner. Lastly, we introduce our latent contribution scores to explain the relationship between estimated representations and the original rs-fMRI brain measures. Results: We quantified the latent contribution scores for both the ASD and HC groups at the network level. We found that both ASD and HC groups share the top network connectivitives contributing to all estimated latent components. For example, latent 0 was driven by rsFC within ventral attention network (VAN) in both the ASD and HC. However, we found significant differences in the latent contribution scores between the ASD and HC groups within the VAN for latent 0 and the sensory/somatomotor network for latent 2. Conclusion: This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC feature as the estimated latent representation changes, enabling an explainable deep learning model that better understands the underlying neural mechanisms of ASD.

The mental health impact of the October 7th terror attack on Jews and Arabs in Israel: A nationwide prospective study.

INTRODUCTION: On October 7, 2023, Israeli citizens came under an unprecedented terrorist attack that impacted the entire country. Recent research has begun to document the mental health impact of the attack but has yet to address the question of whether the attack had a differential impact across ethnic communities. In this nationwide prospective cohort study, we aimed to determine possible differences in psychopathology between Jews and Arabs in the post-October 7th attack. Specifically, we aimed to understand the role ethnicity may play in changes in probable PTSD, depression, and anxiety diagnoses from pre- to post-attack. METHODS: The sample comprised 656 participants (332 female, 50.7%) aged 18-85 (M = 41.01, SD = 13.72). Of this cohort, 557 participants (84.9%) were Jews, and 99 (15.1%) were Arabs, reflecting their national proportionality. Validated self-report questionnaires were completed to assess PTSD, depression, and anxiety at two time points: August 20 to 30th, 2023 (T1; 6-7 weeks before the attack) and November 9-19, 2023 (T2; 5-6 weeks after the attack). RESULTS: At T2, Arab Israeli participants reported significantly higher prevalences of probable PTSD, depression, and anxiety diagnoses than Jewish Israeli participants. A series of hierarchical logistic regressions revealed that, compared with Jews, Arab participants presented with higher prevalence of probable PTSD (OR = 2.53 95% CI = 1.46-4.37, p < 0.0001), depression (OR = 1.68 95% CI = 1.35-3.01, p < 0.0001) and anxiety (OR = 6.42 95% CI = 3.95-10.52, p < 0.0001), controlling for prevalences of probable diagnoses at T1 as well as for trauma-related variables. DISCUSSION: Citizens belonging to the Arab ethnic minority in Israel were found to be at higher risk for psychopathology in the aftermath of the October 7, 2023, terrorist attack compared with their Jewish majority counterparts. Thus, it becomes critical to employ culturally sensitive assessments and interventions following the attack to prevent the development of chronic symptoms and disorders.

PTSD, depression, and anxiety after the October 7, 2023 attack in Israel: a nationwide prospective study.

Background: The magnitude of the Oct 7, 2023 attack in southern Israel was without precedent. More than 1300 civilians were murdered, and 240 civilians were kidnapped and taken hostage. In this national cohort study, for which baseline outcome data were established before the attacks, a prospective assessment of posttraumatic stress disorder (PTSD), depression, and generalized anxiety disorder (GAD) was conducted one month after the attack. Methods: A representative sample of 710 Israeli adults (362 female, 51.1%), Jews (557, 79.9%) and Arabs (153, 20.1%), aged 18-85 years (mean = 41.01, SD = 13.72) completed the study at two timepoints: T1, on Aug 20-30, 2023 (6-7 weeks before the attack) and T2, on Nov 9-19, 2023 (5-6 weeks after the attack). 30 (4.2%) of the 710 participants had direct exposure to the attack, and 131 (18.5%) had loved ones who were murdered, kidnapped, or injured during the attack. Findings: Probable PTSD prevalence almost doubled from 16.2% at T1 to 29.8% at T2 (p < 0.0001), with the prevalence of probable GAD and depression also increasing from 24.9% at T1 to 42.7% at T2, and from 31.3% at T1 to 44.8% at T2, respectively. Direct exposure to the attack was found to contribute to probable PTSD (OR = 3.15, 95% CI = 1.48-6.65) and probable depression (OR = 2.18, 95% CI = 1.02-4.87) at T2. Interpretation: Our study suggests a broad and significant impact of the Oct 7, 2023 attack on the mental health of the Israeli population. The findings underscore the need to provide rapid, nationwide assessments and triage for interventions to address the mental health needs of Jewish and Arab citizens. Funding: Not applicable.

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 moderating role of belongingness in the contribution of depression to suicide ideation following the October 7, 2023, terrorist attack in Israel: A nationwide prospective study.

INTRODUCTION: With >1300 civilians murdered, the terrorist attack of October 7 is one of the deadliest terrorist attacks in modern history. Previous research documented a sharp increase in depression in the aftermath of the attacks and the military conflict that followed. In this national prospective cohort study, we examined to what extent perceived belongingness (PB) moderates the association between depression and suicide ideation (SI) in the wake of the October 7th terrorist attack. METHODS: A representative sample of 710 Israeli adults (of them, 362 females, 51.1 %), Jews (557, 79.9 %), and Arabs (153, 20.1 %), aged 18-85 (M = 41.01, SD = 13.72) completed questionnaires assessing depression, current SI, and perceived belongingness at two timepoints: T1 (in August 2023) and T2 (in November 2023). RESULTS: Perceived belongingness at T1 predicted SI at T2 beyond demographic and trauma-related characteristics. Importantly, we found a significant interaction in which a PB at T1 moderated the link between depression and current SI at T2. Specifically, the level of depression at T2 contributed to current SI-T2 more strongly for individuals with low PB levels than for individuals with high PB levels. DISCUSSION: Our study highlights the impact of PB on SI following the October 7th terrorist attack. Clinicians treating individuals coping with depression should attend to their patients' sense of belongingness, as low PB comprises a significant risk factor for current SI. Moreover, community and national initiatives that could increase levels of PB among the citizens may help to diminish suicide risk in the aftermath of the attack.

PTSD, distress and substance use in the aftermath of October 7th, 2023, terror attacks in Southern Israel.

The October 7th, 2023, terror attacks in Israel were characterized by a scope and magnitude not previously known to Israeli citizens. The aim of this study was to examine the prevalence and correlates of posttraumatic stress disorder (PTSD), emotional distress and use of addictive substances among Israeli adults, approximately one month following the attacks. PTSD was assessed with the Posttraumatic Stress Disorder Checklist (PCL-5) and emotional distress was assessed with a brief version of the Hopkins Symptom Checklist (HSCL-25). Participants also ranked the degree of change in their frequency of use of six addictive substances. The final sample consisted of 415 Jewish and Arab Israeli adults. Results indicate that one month following the attacks, 31.4% of the total sample qualified for positive screening of PTSD. An increase in the use of tobacco, alcohol, tranquilizers and sleep medications was reported by 16.5%, 10.1%, 11.1% and 10.6% of the sample, respectively. Being at a younger age, of female sex and with increased exposure to the attacks was associated with increased levels of PTSD (ß = -0.24, p < 0.001; ß = 0.19, p < 0.001 and ß = 0.29, p < 0.001, respectively) and increased distress (ß = -0.22, p < 0.001, ß = 0.26, p < 0.001 and ß = 0.19, p < 0.001, respectively). Being male was significantly associated with increased use of cannabis (Adjusted Odds Ratio (AOR) = 4.73, 95% Confidence Interval (CI) = 1.70-13.13, p = 0.003), and level of exposure to traumatic events was significantly associated with increased use of tranquilizers (AOR = 1.58, 95% CI = 1.17-2.13, p = 0.003). The high magnitude of symptomatic response should alert other countries as they prepare for national disasters.

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.

Examining the association between posttraumatic stress disorder and disruptions in cortical networks identified using data-driven methods.

Posttraumatic stress disorder (PTSD) is associated with lower cortical thickness (CT) in prefrontal, cingulate, and insular cortices in diverse trauma-affected samples. However, some studies have failed to detect differences between PTSD patients and healthy controls or reported that PTSD is associated with greater CT. Using data-driven dimensionality reduction, we sought to conduct a well-powered study to identify vulnerable networks without regard to neuroanatomic boundaries. Moreover, this approach enabled us to avoid the excessive burden of multiple comparison correction that plagues vertex-wise methods. We derived structural covariance networks (SCNs) by applying non-negative matrix factorization (NMF) to CT data from 961 PTSD patients and 1124 trauma-exposed controls without PTSD. We used regression analyses to investigate associations between CT within SCNs and PTSD diagnosis (with and without accounting for the potential confounding effect of trauma type) and symptom severity in the full sample. We performed additional regression analyses in subsets of the data to examine associations between SCNs and comorbid depression, childhood trauma severity, and alcohol abuse. NMF identified 20 unbiased SCNs, which aligned closely with functionally defined brain networks. PTSD diagnosis was most strongly associated with diminished CT in SCNs that encompassed the bilateral superior frontal cortex, motor cortex, insular cortex, orbitofrontal cortex, medial occipital cortex, anterior cingulate cortex, and posterior cingulate cortex. CT in these networks was significantly negatively correlated with PTSD symptom severity. Collectively, these findings suggest that PTSD diagnosis is associated with widespread reductions in CT, particularly within prefrontal regulatory regions and broader emotion and sensory processing cortical regions.

Acceptance and Mindfulness-Based Exposure Therapy for PTSD After Cardiac Arrest: An Open Feasibility Trial.

Background: Posttraumatic stress disorder (PTSD) is prevalent after surviving sudden cardiac arrest (SCA). SCA-induced PTSD is associated with increased mortality and cardiovascular risk, yet no psychotherapeutic treatment has been developed and tested for this population. Exposure therapy is standard treatment for PTSD, but its safety and efficacy remain unconfirmed for SCA survivors: current protocols do not address their specific disease course and have high attrition. Mindfulness-based interventions are typically well-tolerated and have shown promise in reducing PTSD symptoms from other traumas.Objective: This study sought to determine feasibility, safety, and preliminary efficacy of acceptance and mindfulness-based exposure therapy (AMBET), a novel SCA-specific psychotherapy protocol combining mindfulness and exposure-based interventions with cardiac focused psychoeducation to reduce symptoms and improve health behaviors in patients with post-SCA PTSD.Methods: We conducted an open feasibility pilot study from January 2021 to April 2022 with a small sample (N = 11) of SCA survivors meeting DSM-5 PTSD criteria. AMBET comprised eight 90-minute remotely delivered individual sessions. Clinical evaluators assessed PTSD symptoms using the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5) at baseline, midpoint, posttreatment, and 3-month follow-up.Results: Ten (91%) of 11 enrolled patients completed treatment. Satisfaction was high and patients reported no adverse events. PTSD symptoms significantly improved statistically (P < .001) and clinically with large effect sizes (g = 1.34-2.21) and treatment gains sustained at 3-month follow-up. Posttreatment, 80% of completers (n = 8) showed significant treatment response, 70% (n = 7) with PTSD diagnostic remission. No patient reported symptom increases.Conclusions: This initial trial found AMBET feasible, safe, and potentially efficacious in reducing PTSD following SCA. These encouraging pilot results warrant further research.Trial Registration: ClinicalTrials.gov identifier: NCT04596891.

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.

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.

Explaining Deep Learning-Based Representations of Resting State Functional Connectivity Data: Focusing on Interpreting Nonlinear Patterns in Autism Spectrum Disorder.

Background: Resting state Functional Magnetic Resonance Imaging fMRI (rs-fMRI) has been used to study brain function in psychiatric disorders, yielding insight into brain organization. However, the high dimensionality of the rs-fMRI data presents challenges, and requires dimensionality reduction before applying machine learning techniques. Neural networks, specifically variational autoencoders (VAEs), have been instrumental in extracting low-dimensional latent representations of resting state functional connectivity patterns, addressing the complex nonlinear structure of rs-fMRI. However, interpreting those latent representations remains a challenge. This paper aims to address this gap by creating explainable VAE models and testing their utility using rs-fMRI data in autism spectrum disorder (ASD). Methods: One-thousand one hundred and fifty participants (601 HC and 549 patients with ASD) were included in the analysis. We extracted functional connectivity correlation matrices from the preprocessed rs-fMRI data using Power atlas with 264 ROIs. Then VAEs were trained in an unsupervised fashion. Lastly, we introduce our latent contribution scores to explain the relationship between estimated representations and the original rs-fMRI brain measures. Results: We quantified the latent contribution scores for the ASD and control groups at the network level. We found that both ASD and control groups share the top network connectivity that contribute to all estimated latent components. For example, latent 0 was driven by resting state functional connectivity patterns (rsFC) within ventral attention network in both the ASD and control. However, significant differences in the latent contribution scores between the ASD and control groups were discovered within the ventral attention network in latent 0 and the sensory/somatomotor network in latent 2. Conclusion: This study introduced latent contribution scores to interpret nonlinear patterns identified by VAEs. These scores effectively capture changes in each observed rsFC features as estimated latent representation changes, enabling an explainable deep learning model to better understand the underlying neural mechanism of ASD.

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 allocation to negatively-valenced stimuli in PTSD is associated with reward-related neural pathways.

BACKGROUND: In a recent eye-tracking study we found a differential dwell time pattern for negatively-valenced and neutral faces among patients with posttraumatic stress disorder (PTSD), trauma-exposed healthy control (TEHCs), and healthy control (HC) participants. Here, we explored whether these group differences relate to resting-state functional connectivity (rsFC) patterns of brain areas previously linked to both attention processes and PTSD. These encompass the amygdala, dorsal anterior cingulate cortex (dACC), dorsolateral prefrontal cortex (dlPFC), ventrolateral prefrontal cortex (vlPFC), and nucleus accumbens (NAcc). METHODS: Ten minutes magnetic resonance imaging rsFC scans were recorded in 17 PTSD patients, 21 TEHCs, and 16 HCs. Participants then completed a free-viewing eye-tracking task assessing attention allocation outside the scanner. Dwell time on negatively-valenced stimuli (DT%) were assessed relative to functional connectivity in the aforementioned seed regions of interest (amygdala, dACC, dlPFC, vlPFC, and NAcc) to whole-brain voxel-wise rsFC. RESULTS: As previously reported, group differences occurred in attention allocation to negative-valence stimuli, with longer dwell time on negatively valence stimuli in the PTSD and TEHC groups than the HC group. Higher DT% correlated with weaker NAcc-orbitofrontal cortex (OFC) connectivity in patients with PTSD. Conversely, a positive association emerged in the HC group between DT% and NAcc-OFC connectivity. CONCLUSIONS: While exploratory in nature, present findings may suggest that reward-related brain areas are involved in disengaging attention from negative-valenced stimuli, and possibly in regulating ensuing negative emotions.

Selfie Videos to Reduce Stigma and Increase Treatment Seeking Among Youths: Two Noninferiority Randomized Controlled Trials.

OBJECTIVE: Confronting stigma early in life could enhance treatment seeking. In two randomized controlled trials (RCTs), one focused on psychosis and the other on adolescent depression, the efficacy and equivalence of brief social contact-based videos were evaluated and compared with a control condition. The outcomes of interest were changes in illness-related stigma and treatment-seeking intention. The hypotheses were that the intervention videos would show greater efficacy than control conditions and that traditional and selfie videos would demonstrate similar efficacy. METHODS: Young adults (study 1, N=895) and adolescents (study 2, N=637) were randomly assigned to view intervention videos (in traditional or selfie styles) or to a control condition. In short videos (58-102 seconds), young presenters humanized their illness by emotionally describing their struggles and discussing themes of recovery and hope. RESULTS: Repeated-measures analyses of variance and paired t tests showed significant differences in stigma and treatment seeking between the intervention and control groups and similar efficacy of the traditional and selfie videos. Cohen's d effect sizes ranged from 0.31 to 0.76 for changes in stigma from baseline to 30-day follow-up in study 1 and from 0.13 to 0.47 for changes from baseline to postintervention in study 2. CONCLUSIONS: The RCTs demonstrated the efficacy of brief videos, both traditional and selfie, in reducing illness-related stigma among young adults and adolescents and in increasing treatment-seeking intention among adolescents. Future studies should explore the effects of brief videos presented by social media influencers on mental health stigma and treatment engagement.

Brief Video Intervention to Increase Treatment-Seeking Intention Among U.S. Health Care Workers: A Randomized Controlled Trial.

OBJECTIVE: Many health care workers avoid seeking mental health care, despite COVID-19-related increases in risk of psychopathology. This study assessed the effects of two versions (distinguished by the race of the protagonist) of a brief social contact-based video on treatment-seeking intention and stigma toward mental health services among U.S. health care workers. METHODS: Participants (N=1,402) were randomly assigned to view a 3-minute video in which a Black or White female nurse described struggles with COVID-19-related anxiety and depression, barriers to care, and how therapy helped, or to view a control video unrelated to mental health. Half of the participants receiving the intervention watched the same video (i.e., booster) again 14 days later. Treatment-seeking intention and treatment-related stigma were assessed at baseline, postintervention, and 14- and 30-day follow-ups. RESULTS: Both intervention videos elicited an immediate increase in treatment-seeking intention in the intervention groups (p<0.001, effect size [ES]=21%), with similar effects among those who watched the booster video (p=0.016, ES=13%) and larger effects among those who had never sought treatment (p<0.001, ES=34%). The increased effects were not sustained 14 days after the initial video or at 30-day follow-up. The results showed an immediate reduction in stigma, but with no booster effect. The race of the protagonist did not influence outcomes. CONCLUSIONS: This easily administered intervention could increase the likelihood of care seeking by proactively encouraging health care workers with mental health challenges to pursue treatment. Future studies should examine whether the inclusion of linkable referrals to mental health services helps to increase treatment-seeking behavior.