11 research outputs found
Data Descriptor: An open resource for transdiagnostic research in pediatric mental health and learning disorders
Technological and methodological innovations are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, ambitions to achieve clinically useful tools to assist in the diagnosis and management of mental health and learning disorders are gaining momentum. To this end, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. The Child Mind Institute has launched the Healthy Brain Network (HBN), an ongoing initiative focused on creating and sharing a biobank of data from 10,000 New York area participants (ages 5–21). The HBN Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle phenotypes, as well as multimodal brain imaging (resting and naturalistic viewing fMRI, diffusion MRI, morphometric MRI), electroencephalography, eyetracking, voice and video recordings, genetics and actigraphy. Here, we present the rationale, design and implementation of HBN protocols. We describe the first data release (n =664) and the potential of the biobank to advance related areas (e.g., biophysical modeling, voice analysis
Recommended from our members
Imipramine Treatment of Children with Separation Anxiety Disorder
The efficacy of imipramine was investigated in 20 children (ages 6 to 15) with separation anxiety disorder. Children were treated for a month with vigorous behavioral treatment. If they did not respond, they entered a double-blind, randomized, 6-week trial of imipramine or placebo. Of 45 children accepted, 21 (47%) entered the trial. About half the children improved with either treatment, and no superiority for imipramine was obtained. There was no instance of clinically significant EKG changes. This small study failed to replicate previous findings of imipramine efficacy in a similar, but larger, clinical population.
J. Am. Acad. Child Adolesc. Psychiatry, 1992, 31, 1:21–28