Faculty Bibliography

In the aftermath of disasters, understanding relationships between disaster-related life disruption and children's functioning is key to informing future postdisaster intervention efforts. The present study examined attack-related life disruptions and psychopathology in a representative sample (N = 8,236) of New York City public schoolchildren (Grades 4-12) surveyed 6 months after September 11, 2001. One in 5 youth reported a family member lost their job because of the attacks, and 1 in 3 reported their parents restricted their postattack travel. These forms of disruption were, in turn, associated with elevated rates of probable posttraumatic stress disorder and other anxiety disorders (and major depressive disorder in the case of restricted travel). Results indicate that adverse disaster-related experiences extend beyond traumatic exposure and include the prolonged ripple of postdisaster life disruption and economic hardship. Future postdisaster efforts must, in addition to ensuring the availability of mental health services for proximally exposed youth, maintain a focus on youth burdened by disaster-related life disruption.

This study examined the impact of a learning collaborative composed of five child mental health agencies which was conducted from November 2005 to November 2006 in a suburban community adjacent to New York City, Data Submitted by each agency (in November/December 2005. and then monthly between April 2006 and November 2006) regarding 1) initial show-rates for first intake appointments for all new evaluations of children and adolescents. and/or; 2) attendance at any scheduled clinic appointment subsequent to the first kept intake appointment. were retrospectively analyzed. Agencies reported an increase in kept initial appointments ranging from 5% to 21% over the previous year. while kept subsequent appointments evidenced an increase between 2% and 16% In contrast. one site that did not administer the engagement strategies noted a decrease in both engagement and subsequent appointment rates during the course of the collaborative between 9% and 13% respectively These findings support the effectiveness of learning collaboratives for improving service use among youth with mental health difficulties and their families (C) 2009 Elsevier Ltd All rights reserved

Adults produce left-lateralized N170 responses to visual words relative to control stimuli, even within tasks that do not require active reading. This specialization begins in preschoolers as a right-lateralized N170 effect. We investigated whether this developmental shift reflects an early learning phenomenon, such as attaining visual familiarity with a script, by training adults in an artificial script and measuring N170 responses before and afterward. Training enhanced the N170 response, especially over the right hemisphere. This suggests N170 sensitivity to visual familiarity with a script emerges before reading becomes sufficiently automatic to drive left-lateralized effects in a shallow encoding task.

Deformable image registration in the presence of considerable contrast differences and large-scale size and shape changes represents a significant challenge for image registration. A representative driving application is the study of early brain development in neuroimaging, which requires co-registration of images of the same subject across time or building 4-D population atlases. Growth during the first few years of development involves significant changes in size and shape of anatomical structures but also rapid changes in tissue properties due to myelination and structuring that are reflected in the multi-modal Magnetic Resonance (MR) contrast measurements. We propose a new registration method that generates a mapping between brain anatomies represented as a multi-compartment model of tissue class posterior images and geometries. We transform intensity patterns into combined probabilistic and geometric descriptors that drive the matching in a diffeomorphic framework, where distances between geometries are represented using currents which does not require geometric correspondence. We show preliminary results on the registrations of neonatal brain MRIs to two-year old infant MRIs using class posteriors and surface boundaries of structures undergoing major changes. Quantitative validation demonstrates that our proposed method generates registrations that better preserve the consistency of anatomical structures over time.

This study examined how restricted and repetitive behaviors and interests (RRBs) developed over time in a sample of children with autism spectrum disorders (ASD). One hundred ninety-two children referred for a diagnosis of autism at age 2, and 22 children with nonspectrum development disorders were evaluated with a battery of cognitive and diagnostic measures at age 2 and subsequently at ages 3, 5, and 9. Factor analysis of the RRB items on the Autism Diagnostic Interview-Revised revealed two RRB factors at each wave of data collection, one comprising 'repetitive sensorimotor' (RSM) behaviors and the other 'insistence on sameness' (IS) behaviors. For children with ASD, RSM scores remained relatively high over time, indicating consistent severity, whereas IS scores started low and increased over time, indicating worsening. Having a higher nonverbal intelligence (NVIQ) at age 2 was associated with milder concurrent RSM behaviors and with improvement in these behaviors over time. There was no relationship between NVIQ at age 2 and IS behaviors. However, milder social/communicative impairment, at age 2 was associated with more severe concurrent IS behaviors. Trajectory analysis revealed considerable heterogeneity in patterns of change over time for both kinds of behaviors. These findings are discussed in terms of their implications for our understanding of RRBs in ASD and other disorders, making prognoses about how RRBs will develop in children with ASD as they get older, and using RRBs to identify ASD phenotypes in genetic studies

Regression models for functional responses and scalar predictors are often fitted by means of basis functions, with quadratic roughness penalties applied to avoid overfitting. The fitting approach described by Ramsay and Silverman in the 1990 s amounts to a penalized ordinary least squares (P-OLS) estimator of the coefficient functions. We recast this estimator as a generalized ridge regression estimator, and present a penalized generalized least squares (P-GLS) alternative. We describe algorithms by which both estimators can be implemented, with automatic selection of optimal smoothing parameters, in a more computationally efficient manner than has heretofore been available. We discuss pointwise confidence intervals for the coefficient functions, simultaneous inference by permutation tests, and model selection, including a novel notion of pointwise model selection. P-OLS and P-GLS are compared in a simulation study. Our methods are illustrated with an analysis of age effects in a functional magnetic resonance imaging data set, as well as a reanalysis of a now-classic Canadian weather data set. An R package implementing the methods is publicly available.