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An open resource for transdiagnostic research in pediatric mental health and learning disorders

2017; Nature Portfolio; Volume: 4; Issue: 1 Linguagem: Inglês

10.1038/sdata.2017.181

2052-4463

Lindsay Alexander, Jasmine Escalera, Lei Ai, Charissa Andreotti, Karina Febre, Alexander Mangone, Natan Vega Potler, Nicolas Langer, Alexis Alexander, Meagan Kovacs, Shannon Litke, Bridget O’Hagan, J. E. Andersen, Batya Bronstein, Anastasia Bui, Marijayne Bushey, H. W. Butler, Victoria Castagna, Nicolas L. Camacho, Elisha Chan, Danielle Citera, Jon Clucas, Samantha Cohen, Sarah Dufek, Megan Eaves, Brian Fradera, Judith Gardner, Natalie Grant-Villegas, Gabriella Green, C. Jane Gregory, Emily Hart, Shana Harris, Megan K. Horton, Danielle Kahn, Katherine E. Kabotyanski, Bernard Z. Karmel, Simon P. Kelly, Kayla Kleinman, Bonhwang Koo, Eliza Kramer, Elizabeth M. Lennon, Catherine Lord, Ginny Mantello, Amy Margolis, Kathleen R. Merikangas, Judith Milham, Giuseppe Minniti, Rebecca Neuhaus, Alexandra M. Levine, Yael Osman, Lucas C. Parra, Ken Pugh, Amy Racanello, Anita Restrepo, Tian Saltzman, Batya Septimus, Russell H. Tobe, Rachel Waltz, Anna Williams, Anna J. Yeo, F. Xavier Castellanos, Arno Klein, Tomáš Paus, Bennett L. Leventhal, R. Cameron Craddock, Harold S. Koplewicz, Michael P. Milham,

Health, Environment, Cognitive Aging

Abstract 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).