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We assessed individual differences in visual attention toward faces in relation to their attractiveness via saccadic reaction times. Motivated by the aim to understand individual differences in attention to faces, we tested three hypotheses: (a) Attractive faces hold or capture attention more effectively than less attractive faces; (b) men show a stronger bias toward attractive opposite-sex faces than women; and (c) blue-eyed men show a stronger bias toward blue-eyed than brown-eyed feminine faces. The latter test was included because prior research suggested a high effect size. Our data supported hypotheses (a) and (b) but not (c). By conducting separate tests for disengagement of attention and attention capture, we found that individual differences exist at distinct stages of attentional processing but these differences are of varying robustness and importance. In our conclusion, we also advocate the use of linear mixed effects models as the most appropriate statistical approach for studying inter-individual differences in visual attention with naturalistic stimuli. (PsycINFO Database Record (c) 2016 APA, all rights reserved)

Safety behaviors are responses that can reduce or even prevent an expected threat. Moreover, empirical studies have shown that using safety behaviors to a learnt safety stimulus can induce threat beliefs to it. No research so far has examined whether threat beliefs induced this way generalize to other novel stimuli related to the safety stimulus. Using a fear and avoidance conditioning model, the current study (n=116) examined whether threat beliefs induced by safety behaviors generalize to other novel generalization stimuli (GSs). Participants first acquired safety behaviors to a threat predicting conditioned stimulus (CSthreat). Safety behaviors could then be performed in response to one safe stimulus (CSsafeShift) but not to another (CSsafe). In a following generalization test, participants showed a significant but small increase in threat expectancies to GSs related to CSsafeShift compared to GSs related to CSsafe. Interestingly, the degree of safety behaviors used to the CSsafeShift predicted the subsequent increase in threat expectancies, and this link was elevated in trait anxious individuals. The findings suggest that threat beliefs induced by unnecessary safety behaviors generalize to other related stimuli. This study provides a potential explanation for the root of threat belief acquisition to a wide range of stimuli or situations.

AbstractChronic pain is common and debilitating, and recommended treatments are only moderately effective for pain relief. Focus has shifted to refining targets for change within psychological therapy to improve pain management. Evidence has shown the role of intrusive images in many psychological disorders. However, only a few studies have advanced our knowledge of the presence and impact of mental imagery in chronic pain. This exploratory study aimed to increase our understanding of how people with chronic pain perceive intrusive visual images to influence their daily life. The study employed a qualitative design, using semi-structured interviews to explore the content, emotional valence, cognitive and behavioural impact of pain-related visual images of ten participants with self-reported diagnosis of chronic pain. Data analysis was conducted by performing an inductive thematic analysis. Three key themes were identified: (1) ‘I start to create images in my head’: pain-related mental images, which revolves around descriptions of participants’ most significant visual image; (2) metaphors for pain, related to the imagery as a means to conceptualise and give meaning to the pain; and (3) “With the pain comes the image”: a companion to pain, which focuses on the role of intrusive images in the experience of pain. Results show that pain-related mental imagery appeared to be an intrusive, uncontrollable, and vivid cognitive accompaniment for many pain sufferers. The findings suggest that mental images may serve as an additional target in cognitive behavioural therapy to enhance individuals’ cognitive, behavioural and emotional change.Key learning aims(1) To understand the role of mental imagery in the daily life of individuals with chronic pain.(2) To examine the impact of intrusive images on the emotions, cognitions, and behaviours of people with chronic pain.(3) To consider clinical implications for CBT interventions targeting pain-related mental images to manage chronic pain.

Steroid hormone dysregulations have frequently been implicated in posttraumatic stress disorder (PTSD) pathogenesis. However, the translation into naturalistic clinical settings as markers of symptomatology and treatment success remains complex. Particularly, there is little longitudinal data on steroid secretion over the course of interventions. This study examined the potential of long-term steroid hormone secretion assessed in hair as diagnostic and intervention-related biomarkers among medicated, multimorbid inpatients with PTSD. As part of a secondary analysis of a randomized controlled trial, 54 female inpatients with a primary diagnosis of PTSD receiving standardised treatment provided hair samples at pre-treatment, post-treatment, and 3-months follow-up. Cortisol, cortisone, and dehydroepiandrosterone (DHEA) were determined, alongside clinical assessments. Cross-sectional results showed a negative association of pre-treatment DHEA with anxiety symptoms and a trend-level association with lifetime trauma exposure. While inpatients improved in PTSD symptomatology during treatment, neither pre-treatment steroids, nor treatment-induced steroid changes predicted PTSD symptoms at post-treatment or follow-up. The study highlights the challenges of establishing biomarkers in naturalistic clinical populations. While the association of attenuated DHEA with anxiety symptoms warrants further exploration, our data points towards the potential necessity of patient sub-sample selection to understand, and in the long run clinically target, the endocrine mechanisms in PTSD.

Background: While available posttraumatic stress disorder (PTSD) treatments are generally successful, 30–40% of patients show limited improvement. The endocannabinoid system may play a role in the aftermath of trauma, in PTSD, and in extinction processes. Therefore, this secondary analysis of a randomized-controlled trial including PTSD inpatients over the course of trauma-focused treatment investigated whether a dysregulated endocannabinoid system is associated with symptom severity and treatment response. Methods: Fifty-four female PTSD inpatients provided hair samples and completed psychometric questionnaires at admission, discharge, and 3-month follow-up. Endocannabinoid (EC: AEA, 1AG/2AG) and N-acylethanolamine (NAE: SEA, OEA, PEA) concentrations were measured in scalp-near 3-cm hair segments. Results: At admission, higher hair AEA correlated with lower depressive and anxiety and higher PTSD symptoms (when controlling for depressive symptoms). Hair NAEs associated with more traumatic experiences. PTSD symptoms improved across treatment, remaining stable at follow-up, but were predicted neither by pre-treatment hair ECs/NAEs nor their changes. Subgroup analyses with those who received exposure treatment tentatively indicated a trend linking higher hair PEA and OEA to lower PTSD symptoms at discharge. Conclusions: Taken together, hair ECs/NAEs may relate differentially to trauma exposure and symptom severity, but not to PTSD inpatient treatment response. Larger-scale research is necessary to confirm this.

Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e. ability to discriminate between responders and non-responders of a given treatment) when using clinical routine data such as demographic and questionnaire data, while neuroimaging data achieved superior prediction accuracy. However, these studies may be considerably biased due to very limited sample sizes and bias-prone methodology. Adequately powered and cross-validated samples are a prerequisite to evaluate predictive performance and to identify the most promising predictors. We therefore analyzed resting state functional magnet resonance imaging (rs-fMRI) data from two large clinical trials to test whether functional neuroimaging data continues to provide good prediction accuracy in much larger samples. Data came from two distinct German multicenter studies on exposure-based CBT for anxiety disorders, the Protect-AD and SpiderVR studies. We separately and independently preprocessed baseline rs-fMRI data from n = 220 patients (Protect-AD) and n = 190 patients (SpiderVR) and extracted a variety of features, including ROI-to-ROI and edge-functional connectivity, sliding-windows, and graph measures. Including these features in sophisticated machine learning pipelines, we found that predictions of individual outcomes never significantly differed from chance level, even when conducting a range of exploratory post-hoc analyses. Moreover, resting state data never provided prediction accuracy beyond the sociodemographic and clinical data. The analyses were independent of each other in terms of selecting methods to process resting state data for prediction input as well as in the used parameters of the machine learning pipelines, corroborating the external validity of the results. These similar findings in two independent studies, analyzed separately, urge caution regarding the interpretation of promising prediction results based on neuroimaging data from small samples and emphasizes that some of the prediction accuracies from previous studies may result from overestimation due to homogeneous data and weak cross-validation schemes. The promise of resting-state neuroimaging data to play an important role in the prediction of CBT treatment outcomes in patients with anxiety disorders remains yet to be delivered.

Anxiety and related disorders are a significant public-health burden with rising prevalence in the wake of the COVID-19 pandemic. As demand for effective anxiety treatment increases, so too does the need for strategies to bolster treatment outcomes. Research on the mechanisms of exposure therapy, the frontline behavioral treatment, will be critically important for optimizing clinical outcomes. We outline an initial agenda for future research on the mechanisms of change of exposure therapy, developed in collaboration with a large international team of researchers through the Exposure Therapy Consortium. Key questions and recommendations for future research focus on four priority areas: conceptualization, measurement, study design/analysis, and individual/contextual differences. Rising to the challenge of addressing these questions will require coordinated action and availability of centralized tools that can be used across trials, settings, and research groups.