Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,466 bioRxiv papers from 297,533 authors.
An open resource for transdiagnostic research in pediatric mental health and learning disorders
Lindsay M. Alexander,
Natan Vega Potler,
Simon P. Kelly,
Kathleen R. Merikangas,
Michael P. Milham,
Lucas C. Parra,
Ken R. Pugh,
Francisco X. Castellanos,
Bennett L. Leventhal,
R. Cameron Craddock,
Harold S. Koplewicz,
Michael P. Milham
Posted 13 Jun 2017
bioRxiv DOI: 10.1101/149369
Posted 13 Jun 2017
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, eye-tracking, 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).
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