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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
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).
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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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