Modular CBT for Youth Social Anxiety Disorder: A Case Series Examining Initial Effectiveness

Cognitive Behavioral Therapy (CBT) is the most efficacious treatment for childhood anxiety disorders. At the same time, several studies showed that for children and adolescents with social anxiety disorder (SAD), standard protocolized CBT seems to be less efficacious than for youth with other types of anxiety disorders, suggesting that children with SAD need a different approach. The purpose of this study was to examine the effectiveness of a modularized cognitive behavioral therapy (CBT) for children with SAD, including mindfulness. Ten children and adolescents (50% girls, aged 8–17 years) referred for SAD were measured at pretreatment, posttreatment and 10 weeks follow-up. Results showed that 5 youths (50%) were free of their SAD posttreatment, and 8 (80%) at follow-up. Clinically meaningful improvements from pretest to follow-up were found in 90% and 60% of the cases, for the total anxiety symptom score and social anxiety symptom score, respectively. Pre-post-follow-up group analyses revealed significant improvements in SAD severity (combined parent and child report) and social anxiety symptoms across child, mother, and father report. The remission rate of 80% and substantial social anxiety symptom decline is promising, providing a starting point for improving treatments of youth with SAD

A point process framework for modeling electrical stimulation of the auditory nerve

Model-based studies of auditory nerve responses to electrical stimulation can provide insight into the functioning of cochlear implants. Ideally, these studies can identify limitations in sound processing strategies and lead to improved methods for providing sound information to cochlear implant users. To accomplish this, models must accurately describe auditory nerve spiking while avoiding excessive complexity that would preclude large-scale simulations of populations of auditory nerve fibers and obscure insight into the mechanisms that influence neural encoding of sound information. In this spirit, we develop a point process model of the auditory nerve that provides a compact and accurate description of neural responses to electric stimulation. Inspired by the framework of generalized linear models, the proposed model consists of a cascade of linear and nonlinear stages. We show how each of these stages can be associated with biophysical mechanisms and related to models of neuronal dynamics. Moreover, we derive a semi-analytical procedure that uniquely determines each parameter in the model on the basis of fundamental statistics from recordings of single fiber responses to electric stimulation, including threshold, relative spread, jitter, and chronaxie. The model also accounts for refractory and summation effects that influence the responses of auditory nerve fibers to high pulse rate stimulation. Throughout, we compare model predictions to published physiological data and explain differences in auditory nerve responses to high and low pulse rate stimulation. We close by performing an ideal observer analysis of simulated spike trains in response to sinusoidally amplitude modulated stimuli and find that carrier pulse rate does not affect modulation detection thresholds.Comment: 1 title page, 27 manuscript pages, 14 figures, 1 table, 1 appendi