Jason A. Elias

Attention Training in Individuals with Generalized Social Phobia: A Randomized Controlled Trial

The authors conducted a randomized, double-blind placebo-controlled trial to examine the efficacy of an attention training procedure in reducing symptoms of social anxiety in 44 individuals diagnosed with generalized social phobia (GSP). Attention training comprised a probe detection task in which pictures of faces with either a threatening or neutral emotional expression cued different locations on the computer screen. In the attention modification program (AMP), participants responded to a probe that always followed neutral faces when paired with a threatening face, thereby directing attention away from threat. In the attention control condition (ACC), the probe appeared with equal frequency in the position of the threatening and neutral faces. Results revealed that the AMP facilitated attention disengagement from threat from pre- to postassessment and reduced clinician- and self-reported symptoms of social anxiety relative to the ACC. The percentage of participants no longer meeting Diagnostic and Statistical Manual (4th ed.) criteria for GSP at postassessment was 50% in the AMP and 14% in the ACC. Symptom reduction in the AMP group was maintained during 4-month follow-up assessment. These results suggest that computerized attention training procedures may be beneficial for treating social phobia.

How willing are you? Willingness as a predictor of change during treatment of adults with obsessive-compulsive disorder

Exposure and response prevention (ERP) is an effective treatment for individuals with obsessive–compulsive disorder (OCD), yet a substantial number of individuals with OCD do not fully respond to this intervention. Based on emerging experimental and clinical research on acceptance, this study sought to explore whether willingness to experience unpleasant thoughts, emotions, and bodily sensations during ERP was associated with improved treatment response.

Use of an Individual-Level Approach to Identify Cortical Connectivity Biomarkers in Obsessive-Compulsive Disorder

BACKGROUND Existing functional connectivity studies of obsessive-compulsive disorder (OCD) support a model of circuit dysfunction. However, these group-level observations have failed to yield neuroimaging biomarkers sufficient to serve as a test for the OCD diagnosis, predict current or future symptoms, or predict treatment response, perhaps because these studies failed to account for the substantial intersubject variability in structural and functional brain organization. METHODS We used functional regions, localized in each of 41 individual OCD patients, to identify cortical connectivity biomarkers of both global and dimension-specific symptom severity and to detect functional connections that track changes in symptom severity following intensive residential treatment. RESULTS Global OCD symptom severity was directly linked to dysconnectivity between large-scale intrinsic brain networks-particularly among the dorsal attention, default, and frontoparietal networks. Changes within a subset of connections among these networks were associated with symptom resolution. Additionally, distinct and nonoverlapping cortical connectivity biomarkers were identified that were significantly associated with the severity of contamination/washing and responsibility for harm/checking symptoms, highlighting the contribution of dissociable neural networks to specific OCD symptom dimensions. By contrast, when we defined functional regions conventionally, using a population-level brain atlas, we could no longer identify connectivity biomarkers of severity or improvement for any of the symptom dimensions. CONCLUSIONS Our findings would seem to encourage the use of individual-level approaches to connectivity analyses to better delineate the cortical and subcortical networks underlying symptom severity and improvement at the dimensional level in OCD patients.

Does Motivation Impact OCD Symptom Severity? An Exploration of Longitudinal Effects

Understanding the role of patient motivation in OCD treatment is of clinical importance given the requisite autonomous role of patients in Exposure and Response Prevention. The present study investigated state- and trait-like relations between three variables: two previously established motivational constructs, readiness to change (RTC) and committed action (CA), derived from the University of Rhode Island Change Assessment, and OCD symptom severity as measured by the self-report Yale-Brown Obsessive Compulsive Scale (Y-BOCS-SR). Utilizing a random-intercept cross-lagged panel model (RI-CLPM) design, we assessed autoregressive, within-time correlations, and cross-lagged effects of RTC, CA, and Y-BOCS-SR scores at admission, month 1 of treatment, and discharge from an intensive/residential treatment program for OCD. Results revealed significant autoregressive (i.e., state-like) effects for CA and Y-BOCS-SR, negative within-time correlations between state CA and Y-BOCS-SR across all time points, a positive within-time correlation between state CA and RTC at admission, and a cross-lagged effect between state Y-BOCS-SR at month 1 of treatment and state RTC at discharge. Results also demonstrated that the stability of the RTC variable was attributable to trait-like factors in the present sample. This study is novel in its use of RI-CLPM in an OCD sample and represents an important addition to the literature on the longitudinal impacts of dynamic constructs of motivation. Our findings may provide future researchers with strategies to supplement ERP with CA-driven motivational interviewing.