Innovations in methods and technologies are equipping researchers with unprecedented capabilities for detecting and characterizing pathologic processes in the developing human brain. As a result, there is growing enthusiasm about the prospect of achieving clinically useful tools that can assist in the diagnosis and management of mental health and learning disorders. For these ambitions to be realized, it is critical to accrue large-scale multimodal datasets that capture a broad range of commonly encountered clinical psychopathology. To this end, the Child Mind Institute has launched the Healthy Brain Network, an ongoing initiative focused on creating and sharing a biobank comprised of data from 10,000 New York City area children and adolescents (ages 5-21). The Healthy Brain Network has adopted a community-referred recruitment model. Specifically, study advertisements seek the participation of families who have concerns about one or more psychiatric symptoms in their child. The Healthy Brain Network Biobank houses data about psychiatric, behavioral, cognitive, and lifestyle (e.g., fitness, diet) phenotypes, as well as multimodal brain imaging, electroencephalography, digital voice and video recordings, genetics, and actigraphy. Beyond accelerating transdiagnostic research, we discuss the potential of the Healthy Brain Network Biobank to advance related areas, such as biophysical modeling, voice and speech analysis, natural viewing fMRI and EEG, and methods optimization.
The various webpages on the present site are intended to be informative regarding the Healthy Brain Network data. However, prior to data usage, we strongly recommend that you download and read the Healthy Brain Network Biobank Data Descriptor. We also encourage all users to regularly check the Updates and Fixes section. This page will post the most up to date information regarding changes in HBN protocols or procedures, as well as any fixes that arise for data that has been shared.