There are phenomenological similarities between social anxiety disorder (SAD) and posttraumatic stress disorder, such as a provoking aversive event, posttraumatic stress symptoms (e.g. intrusions) in response to these events and deficient (context-dependent) fear conditioning processes. This study investigated the neural correlates of context-dependent extinction recall and fear renewal in SAD, specifically in patients with intrusions in response to an etiologically relevant aversive social event.

During functional magnetic resonance imaging a two-day context-dependent fear conditioning paradigm was conducted in 54 patients with SAD and 54 healthy controls (HC). This included fear acquisition (context A) and extinction learning (context B) on one day, and extinction recall (context B) as well as fear renewal (contexts C and A) one day later. The main outcome measures were blood oxygen level-dependent responses in regions of interest and skin conductance responses.

Patients with SAD showed reduced differential conditioned amygdala activation during extinction recall in the safe extinction context and during fear renewal in the acquisition context compared to HC. Patients with clinically relevant intrusions moreover exhibited hypoactivation of the ventromedial prefrontal cortex (vmPFC) during extinction learning, extinction recall, and fear renewal in a novel context, while amygdala activation more strongly decreased during extinction learning and increased during fear renewal in the acquisition context compared with patients without intrusions.

Our study provides first evidence that intrusions in SAD are associated with similar deficits in context-dependent regulation of conditioned fear via the vmPFC as previously demonstrated in posttraumatic stress disorder.

1. (1) To recognise persistent negative self-evaluations as a key feature of SAD.

2. (2) To understand that persistent negative self-evaluations are central in the Clark and Wells (1995) cognitive model and how to formulate these as part of SAD.

3. (3) To be able to use all the experiential interventions in cognitive therapy for SAD to address these beliefs.

Safety behaviours are hypothesized to play a vital role in maintaining social anxiety disorder (SAD), in part by orienting socially anxious individuals to adopt an avoidance-based mindset focused on self-protection and self-concealment. Evidence suggests an association between safety behaviour use and negative social outcomes for individuals with SAD. However, research has largely focused on the broad group of safety behaviours, whereas specific subtypes have received less attention.

The present study aimed to further our understanding of the negative interpersonal consequences of specific types of safety behaviours for individuals with SAD by examining whether active, inhibiting/restricting, or physical symptom management safety behaviour use affects perceived likeability and authenticity during a conversation with a stranger.

Individuals with SAD (n = 29; mean age 35.5 years) and healthy control (non-SAD) participants (n = 40; mean age 18.6 years) engaged in a semi-structured social interaction with trained confederates.

Participants with SAD were perceived as significantly less likeable and authentic by the confederates, and rated themselves as significantly less authentic compared with those without SAD. The association between group status and likeability was mediated by the use of inhibiting/restricting safety behaviours and the association between group status and participant-rated authenticity was mediated by the use of both inhibiting/restricting and active safety behaviours, but not physical symptom management strategies.

These results contribute to a growing literature suggesting that some, but not all, safety behaviours may play an important role in creating the negative social outcomes that individuals with SAD experience.

Although aberrant brain regional responses are reported in social anxiety disorder (SAD), little is known about resting-state functional connectivity at the macroscale network level. This study aims to identify functional network abnormalities using a multivariate data-driven method in a relatively large and homogenous sample of SAD patients, and assess their potential diagnostic value.

Forty-six SAD patients and 52 demographically-matched healthy controls (HC) were recruited to undergo clinical evaluation and resting-state functional MRI scanning. We used group independent component analysis to characterize the functional architecture of brain resting-state networks (RSNs) and investigate between-group differences in intra-/inter-network functional network connectivity (FNC). Furtherly, we explored the associations of FNC abnormalities with clinical characteristics, and assessed their ability to discriminate SAD from HC using support vector machine analyses.

SAD patients showed widespread intra-network FNC abnormalities in the default mode network, the subcortical network and the perceptual system (i.e. sensorimotor, auditory and visual networks), and large-scale inter-network FNC abnormalities among those high-order and primary RSNs. Some aberrant FNC signatures were correlated to disease severity and duration, suggesting pathophysiological relevance. Furthermore, intrinsic FNC anomalies allowed individual classification of SAD v. HC with significant accuracy, indicating potential diagnostic efficacy.

SAD patients show distinct patterns of functional synchronization abnormalities both within and across large-scale RSNs, reflecting or causing a network imbalance of bottom-up response and top-down regulation in cognitive, emotional and sensory domains. Therefore, this could offer insights into the neurofunctional substrates of SAD.

Social anxiety disorder (SAD) can accompany emotional symptoms as well as physical reactions. The assessment and real-time measurement of SAD is difficult in real-world.

This study aims to predict the severity of specific anxiety states and virtual reality (VR) sickness in SAD patients by a machine learning model based on only quantitative measuring of autonomic physiologic signals during VR therapy sessions.

In total, 32 individuals with SAD symptoms were enrolled in VR participatory sessions. We assessed patients’ specific anxiety symptoms through Internalized Shame Scale (ISS) and Post-Event Rumination Scale (PERS), and VR sickness through Simulator Sickness Questionnaire (SSQ). Specific anxiety symptoms and VR sickness were divided into severe and non-severe states based on the total score of each scale by K-means clustering. Logistic regression, Random Forest, Naïve Bayes classifier, and Support Vector Machine were used based on the physiological signal data to predict the severity group in subdomains of ISS, PERS, and SSQ.

Prediction performance (F1 score) for the severity of the ISS mistake anxiety subdomain was higher than other scales with 0.8421. For VR sickness, prediction performance for the severity of the physical subdomain was higher than the non-physical subdomain with 0.7692.

The study findings present that mistake anxiety and physical sickness could be predicted more accurately by only autonomic physiological signals, suggesting these features are probably associated with autonomic responses. Based on the present study results, we could provide the evidence for predicting the severity of specific anxiety or VR adverse effects only based on in-situ physiological signals.

No significant relationships.

The extant findings have been of great heterogeneity due to partial volume effects in the investigation of cortical gray matter volume (GMV), high comorbidity with other psychiatric disorders, and concomitant therapy in the neuroimaging studies of social anxiety disorder (SAD).

To identity gray matter deficits in cortical and subcortical structures in non-comorbid never-treated patients, so as to explore the “pure” SAD-specific pathophysiology and neurobiology.

Thirty-two non-comorbid free-of-treatment patients with SAD and 32 demography-matched healthy controls were recruited to undergo high-resolution 3.0-Tesla T1-weighted MRI. Cortical thickness (CT) and subcortical GMV were estimated using FreeSurfer; then the whole-brain vertex-wise analysis was performed to compare group differences in CT. Besides, differences in subcortical GMV of priori selected regions-of-interest: amygdala, hippocampus, putamen, and pallidum were compared by an analysis of covariance with age, gender, and total subcortical GMV as covariates.

The SAD patients demonstrated significantly decreased CT near-symmetrically in the bilateral prefrontal cortex (Monte Carlo simulations of P < 0.05). Besides, smaller GMV in the left hippocampus and pallidum were also observed in the SAD cohort (two-sample t-test of P < 0.05).

For the first time, the current study investigated the structural alterations of CT and subcortical GMV in non-comorbid never-treated patients with SAD. Our findings provide preliminary evidences that structural deficits in cortical-striatal-limbic circuit may contribute to the psychopathological basis of SAD, and offer more detailed structural substrates for the involvement of such aberrant circuit in the imbalance between defective bottom-up response and top-down control to external stimuli in SAD.

No significant relationships.

With measures of COVID-19, activities that cover a large part of life have started to be carried out via videoconferencing. Videoconferencing can be disadvantageous for individuals with social anxiety due to increased social presence, decreased mutual understanding and consequently causing awkward communication.

This study aims to develop a scale to explore the difficulties experienced by individuals with social anxiety during videoconferencing.

598 children and adolescents between the ages of 11-18 participated in the study. The data were collected with Sociodemographic Information Form, Videoconference Anxiety Scale and Liebowitz Social Anxiety Scale.

According to correlation analysis, all correlations between Videoconference Anxiety Scale and Liebowitz Social Anxiety Scale total score and subscale scores are above 0.50. According to EFA, the scale consisted of 25 items and a single factor. Factor loads were between 0.62 and 0.81, the single factor explained 52.95% of the variance. Model fit indices after CFA were as follows: X2/df:3.360, GFI:.850, IFI:.900, TLI:.890, CFI:.900, RMSEA:.078, SRMR:.0475. Convergent and discriminative validity of the scale was tested. Standardized factor loads of all items were higher than 0.50. AVE value was 0.47, while CR value was 0.96. Cronbach’s alpha coefficient of 25-item VAS is 0.96.

This study showed that Videoconference Anxiety is a phenomen which is higly correlated with social anxiety and Videoconference Anxiety Scale is a valid and reliable instrument for Turkish children and adolescents.

No significant relationships.

Social anxiety disorder (SAD) is common, first-line treatments are often only partially effective, and reliable predictors of treatment response are lacking. Here, we assessed resting state functional connectivity (rsFC) at pre-treatment and during early treatment as a potential predictor of response to a novel attention bias modification procedure, gaze-contingent music reward therapy (GC-MRT).

Thirty-two adults with SAD were treated with GC-MRT. rsFC was assessed with multi-voxel pattern analysis of fMRI at pre-treatment and after 2–3 weeks. For comparison, 20 healthy control (HC) participants without treatment were assessed twice for rsFC over the same time period. All SAD participants underwent clinical evaluation at pre-treatment, early-treatment (week 2–3), and post-treatment.

SAD and depressive symptoms improved significantly from pre-treatment to post-treatment. After 2–3 weeks of treatment, decreased connectivity between the executive control network (ECN) and salience network (SN), and increased connectivity within the ECN predicted improvement in SAD and depressive symptoms at week 8. Increased connectivity between the ECN and default mode network (DMN) predicted greater improvement in SAD but not depressive symptoms at week 8. Connectivity within the DMN decreased significantly after 2–3 weeks of treatment in the SAD group, while no changes were found in HC over the same time interval.

We identified early changes in rsFC during a course of GC-MRT for SAD that predicted symptom change. Connectivity changes within the ECN, ECN-DMN, and ECN-SN may be related to mechanisms underlying the clinical effects of GC-MRT and warrant further study in controlled trials.

Imagery rescripting (IR) is an effective intervention for social anxiety disorder (SAD) that targets memories of distressing formative events linked to negative self-imagery (NSI). IR is thought to update unhelpful schema by addressing the needs of the younger self within the memory. An accumulating body of evidence indicates that by modifying NSI, IR can significantly affect distressing imagery, memory appraisal, and beliefs about the self.

This systematic review aims to critically evaluate and synthesise literature investigating the existing research on the effects IR has on NSI in SAD.

A systematic electronic search of Academic Search Complete, ProQuest, Medline, Scopus and PubMed was performed in February 2021 using pre-defined criteria. Ten studies met the inclusion criteria and were selected for review.

Analysis of the reviewed articles’ findings identified three main themes: Changes to negative self-images, Memories linked to images and Encapsulated beliefs. IR was associated with significant decreases in image distress, image vividness, memory vividness, memory distress, and encapsulated beliefs. Although reductions were found with image frequency, they were non-significant. Interpretation of results is limited by the small number of studies.

IR appears to effectively alter images, memories and beliefs in SAD in as little as a single session. The findings indicate that IR could be utilised as a cost-effective intervention for SAD. However, additional studies and longer-term follow-ups are needed.

Social Anxiety Disorder (SAD) is considered the most prevalent anxiety disorder with the highest disease burden amongst anxiety disorders. Despite available effective treatment with Cognitive Behavioral Therapy, a majority of individuals with SAD do not seek treatment and many drop out when confronted with elements of exposure. Several studies highlight the many advantages virtual reality exposure holds over in vivo exposure. In this study, we investigate the added effect of real-time biofeedback during virtual reality exposure.

The current study is part of a large scale study called VR8. The current study aims to develop and evaluate the feasibility of a VR-biofeedback-intervention for adults with mild to severe social anxiety disorder, before continuing randomized controlled trials.

Data from semi-structured interviews and surveys will be compared to biodata collected during VR exposure. Participants include a minimum of (n=10) patients and (n=10) clinicians from the Mental Health Services in the Region of Southern Denmark. Surveys include questionnaires used for assessment of anxiety symptoms, usability of technology, and presence in the virtual environment. Collected biodata includes heart rate variability and electrodermal activity. Behavioral markers include eye-gaze. The findings will be analyzed and discussed in a mixed methods design.

The study is ongoing. Preliminary results will be available at presentation.

Successful development and implementation of a biofeedback-informed virtual reality exposure intervention may provide increased reach for patients and individuals who would have otherwise not sought- or dropped out of regular treatment, as well as inform the clinician on how to proceed during virtual exposure.

Prof. Stephané Bouchard is consultant to and own equity in Cliniques et Développement In Virtuo, which develops virtual environments, and conflicts of interests are managed according to UQO’s conflict of interests policy; however, Cliniques et Développeme

Social anxiety disorder (SAD) typically develops during late childhood or early adolescence, and often runs a chronic course if left untreated. Maladaptive processing of social information has been suggested to contribute to the etiology and maintenance of SAD. Scanpaths are a succession of visual fixations and saccades through which individuals extract information during face perception. Atypically long scanpaths have previously been reported in adults with SAD but no studies have been conducted on youth samples. SAD has previously also been linked to atypical arousal during face processing.

This study aimed to investigate differences in visual attention and arousal to emotional faces comparing children and adolescents with SAD to a non-psychiatric population of youths.

In one of the largest eye-tracking studies of pediatric SAD to date, children and adolescents with SAD (n = 62) and healthy controls (n = 39) completed a task where they were meant to recognise different emotional expressions in pictures of faces while their eye movements were recorded. The visual scanpath and the pupil dilation response were examined.

Youth with SAD showed restricted scanpaths, suggesting they scanned a more limited part of the face during face perception. Higher pupil dilation was also observed in the children and adolescents with SAD.

The restricted pattern of scanpath observed in youth with SAD is contrary to findings among adults, but similar to what has been reported in neurodevelopmental disorders associated with social interaction impairments such as autism. Restricted scanpaths may partially contribute to the maintencance of social anxiety disorder.

No significant relationships.