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Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184183/ https://www.ncbi.nlm.nih.gov/pubmed/32339824 http://dx.doi.org/10.1016/j.nicl.2020.102242 |
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author | Siless, Viviana Hubbard, Nicholas A. Jones, Robert Wang, Jonathan Lo, Nicole Bauer, Clemens C.C. Goncalves, Mathias Frosch, Isabelle Norton, Daniel Vergara, Genesis Conroy, Kristina De Souza, Flavia Vaz Rosso, Isabelle M. Wickham, Aleena Hay Cosby, Elizabeth Ann Pinaire, Megan Hirshfeld-Becker, Dina Pizzagalli, Diego A. Henin, Aude Hofmann, Stefan G. Auerbach, Randy P. Ghosh, Satrajit Gabrieli, John Whitfield-Gabrieli, Susan Yendiki, Anastasia |
author_facet | Siless, Viviana Hubbard, Nicholas A. Jones, Robert Wang, Jonathan Lo, Nicole Bauer, Clemens C.C. Goncalves, Mathias Frosch, Isabelle Norton, Daniel Vergara, Genesis Conroy, Kristina De Souza, Flavia Vaz Rosso, Isabelle M. Wickham, Aleena Hay Cosby, Elizabeth Ann Pinaire, Megan Hirshfeld-Becker, Dina Pizzagalli, Diego A. Henin, Aude Hofmann, Stefan G. Auerbach, Randy P. Ghosh, Satrajit Gabrieli, John Whitfield-Gabrieli, Susan Yendiki, Anastasia |
author_sort | Siless, Viviana |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7184183 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71841832020-05-04 Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study Siless, Viviana Hubbard, Nicholas A. Jones, Robert Wang, Jonathan Lo, Nicole Bauer, Clemens C.C. Goncalves, Mathias Frosch, Isabelle Norton, Daniel Vergara, Genesis Conroy, Kristina De Souza, Flavia Vaz Rosso, Isabelle M. Wickham, Aleena Hay Cosby, Elizabeth Ann Pinaire, Megan Hirshfeld-Becker, Dina Pizzagalli, Diego A. Henin, Aude Hofmann, Stefan G. Auerbach, Randy P. Ghosh, Satrajit Gabrieli, John Whitfield-Gabrieli, Susan Yendiki, Anastasia Neuroimage Clin Regular Article 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). Elsevier 2020-03-19 /pmc/articles/PMC7184183/ /pubmed/32339824 http://dx.doi.org/10.1016/j.nicl.2020.102242 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Siless, Viviana Hubbard, Nicholas A. Jones, Robert Wang, Jonathan Lo, Nicole Bauer, Clemens C.C. Goncalves, Mathias Frosch, Isabelle Norton, Daniel Vergara, Genesis Conroy, Kristina De Souza, Flavia Vaz Rosso, Isabelle M. Wickham, Aleena Hay Cosby, Elizabeth Ann Pinaire, Megan Hirshfeld-Becker, Dina Pizzagalli, Diego A. Henin, Aude Hofmann, Stefan G. Auerbach, Randy P. Ghosh, Satrajit Gabrieli, John Whitfield-Gabrieli, Susan Yendiki, Anastasia Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study |
title | Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study |
title_full | Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study |
title_fullStr | Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study |
title_full_unstemmed | Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study |
title_short | Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study |
title_sort | image acquisition and quality assurance in the boston adolescent neuroimaging of depression and anxiety study |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184183/ https://www.ncbi.nlm.nih.gov/pubmed/32339824 http://dx.doi.org/10.1016/j.nicl.2020.102242 |
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