Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study
Name
1-s2.0-S2213158220300796-main.pdf
Description
Published version
Size
8.27 MB
Format
Adobe PDF
Checksum (MD5)
3f6d217ca656b18d456428652682afd6
Author(s)
Siless, Viviana
Hubbard, Nicholas A
Jones, Robert
Wang, Jonathan
Lo, Nicole
Bauer, Clemens CC
Goncalves, Mathias
Frosch, Isabelle
Norton, Daniel
Vergara, Genesis
Date Issued
2020
Journal
NeuroImage: Clinical
Publisher
Elsevier BV
Version
Final published version
Abstract
© 2020 The Authors The Connectomes Related to Human Diseases (CRHD) initiative was developed with the Human Connectome Project (HCP) to provide high-resolution, open-access, multi-modal MRI data to better understand the neural correlates of human disease. Here, we present an introduction to a CRHD project, the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) study, which is collecting multimodal neuroimaging, clinical, and neuropsychological data from 225 adolescents (ages 14–17), 150 of whom are expected to have a diagnosis of depression and/or anxiety. Our transdiagnostic recruitment approach samples the full spectrum of depressed/anxious symptoms and their comorbidity, consistent with NIMH Research Domain Criteria (RDoC). We focused on an age range that is critical for brain development and for the onset of mental illness. This project sought to harmonize imaging sequences, hardware, and functional tasks with other HCP studies, although some changes were made to canonical HCP methods to accommodate our study population and questions. We present a thorough overview of our imaging sequences, hardware, and scanning protocol. We detail similarities and differences between this study and other HCP studies. We evaluate structural-, diffusion-, and functional-image-quality measures that may be influenced by clinical factors (e.g., disorder, symptomatology). Signal-to-noise and motion estimates from the first 140 adolescents suggest minimal influence of clinical factors on image quality. We anticipate enrollment of an additional 85 participants, most of whom are expected to have a diagnosis of anxiety and/or depression. Clinical and neuropsychological data from the first 140 participants are currently freely available through the National Institute of Mental Health Data Archive (NDA).
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Harvard University--MIT Division of Health Sciences and Technology
Martinos Imaging Center (McGovern Institute for Brain Research at MIT)
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
10.1016/J.NICL.2020.102242
https://doi.org/10.1016/J.NICL.2020.102242
