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dc.contributor.authorSiless, Viviana
dc.contributor.authorHubbard, Nicholas A
dc.contributor.authorJones, Robert
dc.contributor.authorWang, Jonathan
dc.contributor.authorLo, Nicole
dc.contributor.authorBauer, Clemens CC
dc.contributor.authorGoncalves, Mathias
dc.contributor.authorFrosch, Isabelle
dc.contributor.authorNorton, Daniel
dc.contributor.authorVergara, Genesis
dc.contributor.authorConroy, Kristina
dc.contributor.authorDe Souza, Flavia Vaz
dc.contributor.authorRosso, Isabelle M
dc.contributor.authorWickham, Aleena Hay
dc.contributor.authorCosby, Elizabeth Ann
dc.contributor.authorPinaire, Megan
dc.contributor.authorHirshfeld-Becker, Dina
dc.contributor.authorPizzagalli, Diego A
dc.contributor.authorHenin, Aude
dc.contributor.authorHofmann, Stefan G
dc.contributor.authorAuerbach, Randy P
dc.contributor.authorGhosh, Satrajit
dc.contributor.authorGabrieli, John
dc.contributor.authorWhitfield-Gabrieli, Susan
dc.contributor.authorYendiki, Anastasia
dc.date.accessioned2021-10-27T20:05:28Z
dc.date.available2021-10-27T20:05:28Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/134542
dc.description.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).
dc.language.isoen
dc.publisherElsevier BV
dc.relation.isversionof10.1016/J.NICL.2020.102242
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs License
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceElsevier
dc.titleImage acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentMartinos Imaging Center (McGovern Institute for Brain Research at MIT)
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.relation.journalNeuroImage: Clinical
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-23T17:48:05Z
dspace.orderedauthorsSiless, V; Hubbard, NA; Jones, R; Wang, J; Lo, N; Bauer, CCC; Goncalves, M; Frosch, I; Norton, D; Vergara, G; Conroy, K; De Souza, FV; Rosso, IM; Wickham, AH; Cosby, EA; Pinaire, M; Hirshfeld-Becker, D; Pizzagalli, DA; Henin, A; Hofmann, SG; Auerbach, RP; Ghosh, S; Gabrieli, J; Whitfield-Gabrieli, S; Yendiki, A
dspace.date.submission2021-03-23T17:48:08Z
mit.journal.volume26
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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