Our understanding of social anxiety disorder (also known as social phobia) has moved from rudimentary awareness that it is not merely shyness to a much more sophisticated appreciation of its prevalence, its chronic and pernicious nature, and its neurobiological underpinnings. Social anxiety disorder is the most common anxiety disorder; it has an early age of onset-by age 11 years in about 50% and by age 20 years in about 80% of individuals-and it is a risk factor for subsequent depressive illness and substance abuse. Functional neuroimaging studies point to increased activity in amygdala and insula in patients with social anxiety disorder, and genetic studies are increasingly focusing on this and other (eg, personality trait neuroticism) core phenotypes to identify risk loci. A range of eff ective cognitive behavioural and pharmacological treatments for children and adults now exists; the challenges lie in optimum integration and dissemination of these treatments, and learning how to help the 30-40% of patients for whom treatment does not work.

Objective To investigate treatment outcome and mediators of Cognitive-Behavioral Group Therapy (CBGT) vs. Mindfulness-Based Stress Reduction (MBSR) vs. Waitlist (WL) in patients with generalized social anxiety disorder (SAD). Method 108 unmedicated patients (55.6% female; mean age = 32.7, SD = 8.0; 43.5% Caucasian, 39% Asian, 9.3% Hispanic, 8.3% other) were randomized to CBGT vs. MBSR vs. WL and completed assessments at baseline, post-treatment/WL, and at 1-year follow-up, including the Liebowitz Social Anxiety Scale – Self-Report (primary outcome) as well as measures of treatment-related processes. Results Linear mixed model analysis showed that CBGT and MBSR both produced greater improvements on most measures compared to WL. Both treatments yielded similar improvements in social anxiety symptoms, cognitive reappraisal frequency and self-efficacy, cognitive distortions, mindfulness skills, attention focusing and rumination. There were greater decreases in subtle avoidance behaviors following CBGT than MBSR. Mediation analyses revealed that increases in reappraisal frequency, mindfulness skills, attention focusing and attention shifting, and decreases in subtle avoidance behaviors and cognitive distortions mediated the impact of both CBGT and MBSR on social anxiety symptoms. However, increases in reappraisal self-efficacy and decreases in avoidance behaviors mediated the impact of CBGT (vs. MBSR) on social anxiety symptoms. Conclusions CBGT and MBSR both appear to be efficacious for SAD. However, their effects may be a result of both shared and unique changes in underlying psychological processes.

Objective Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder. Method We first estimated a state-of-the-art regularized partial correlation network based on participants with social anxiety disorder (N = 910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (N = 244). We also tested whether relatively superficial item properties (infrequency of endorsement and variance of items) might account for any effects shown for central symptoms. Results Centrality indices successfully predicted how strongly changes in items correlated with change in the remainder of the items. Findings were limited to the measure used in the network and did not generalize to three other measures related to social anxiety severity. In contrast, infrequency of endorsement showed associations across all measures. Conclusions The transfer of recently published results from cross-sectional network analyses to treatment data is unlikely to be straightforward.

Many psychiatric disorders involve problematic patterns of emotional reactivity and regulation. In this review, we consider recent findings regarding emotion and emotion regulation in the context of social anxiety disorder (SAD). We first describe key features of SAD which suggest altered emotional and self-related processing difficulties. Next, we lay the conceptual foundation for a discussion of emotion and emotion regulation and present a common framework for understanding emotion regulation, the process model of emotion regulation. Using the process model, we evaluate the recent empirical literature spanning self-report, observational, behavioral, and physiological methods across five specific families of emotion regulation processes-situation selection, situation modification, attentional deployment, cognitive change, and response modulation. Next, we examine the empirical evidence behind two psychosocial interventions for SAD: cognitive behavioral therapy (CBT) and mindfulness-based stress reduction (MBSR). Throughout, we present suggestions for future directions in the continued examination of emotion and emotion regulation in SAD.

Social anxiety disorder (SAD) is associated with elevated negative and diminished positive affective experience. However, little is known about the way in which individuals with SAD perceive and respond emotionally to the naturally-unfolding negative and positive emotions of others, that is, cognitive empathy and affective empathy, respectively. In the present study, participants with generalized SAD (n = 32) and demographically-matched healthy controls (HCs; n = 32) completed a behavioral empathy task. Cognitive empathy was indexed by the correlation between targets’ and participants’ continuous ratings of targets’ emotions, whereas affective empathy was indexed by the correlation between targets’ and participants’ continuous self-ratings of emotion. Individuals with SAD differed from HCs only in positive affective empathy: they were less able to vicariously share others’ positive emotions. Mediation analyses revealed that poor emotional clarity and negative interpersonal perceptions among those with SAD might account for this finding. Future research using experimental methodology is needed to examine whether this finding represents an inability or unwillingness to share positive affect.

Objective: Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder. Method: We first estimated a state-of-the-art regularized partial correlation network based on participants with social anxiety disorder (N = 910) to determine which symptoms were more central. Next, we tested whether change in these central symptoms were indeed more related to overall symptom change in a separate dataset of participants with social anxiety disorder who underwent a variety of treatments (N = 244). We also tested whether relatively superficial item properties (infrequency of endorsement and variance of items) might account for any effects shown for central symptoms. Results: Centrality indices successfully predicted how strongly changes in items correlated with change in the remainder of the items. Findings were limited to the measure used in the network and did not generalize to three other measures related to social anxiety severity. In contrast, infrequency of endorsement showed associations across all measures. Conclusions: The transfer of recently published results from cross-sectional network analyses to treatment data is unlikely to be straightforward.

Cognitive theories of obsessive-compulsive disorder (OCD) suggest that the disorder is characterized by an attention bias towards personally relevant threatening material. However, existing research on attention bias in OCD has yielded conflicting findings. One possibility that might account for the null findings is that attention bias may diminish over the course of the experiment. The present study tested this hypothesis using a visual dot-probe task with idiographic word selection. Results from our study confirmed that individuals with OC symptoms show an attention bias towards idiographically-selected, threatening information in the first block of trials, and that the degree of this bias is correlated with the severity of OC symptoms. The temporal pattern of attention bias over the course of the experiment was consistent with our hypothesis: A comparison of early and late blocks of trials revealed an attenuation of attention bias in individuals with OC symptoms, potentially reflecting habituation to threatening information over the course of the experiment. KeywordsObsessive-Compulsive Disorder; Attention; Probe Detection; Idiographic Obsessive-compulsive disorder (OCD) is characterized by unwanted, intrusive thoughts that cause anxiety (obsessions), and repetitive, ritualistic behaviors or thoughts intended to reduce the anxiety (compulsions). Cognitive models of OCD have emphasized a role of dysfunctional beliefs (Rachman, 1997;Salkovskis, 1985Salkovskis, , 1989 in the etiology and maintenance of the disorder. Other investigators have proposed that the characteristic repetitive obsessions and compulsions in OCD may be the result of deficient and/or biased processing of threat-relevant information (e.g., Tallis, 1997).

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