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A longitudinal resource for studying connectome development and its psychiatric associations during childhood
Most psychiatric disorders are chronic, associated with high levels of disability and distress, and present during pediatric development. Scientific innovation increasingly allows researchers to probe brain-behavior relationships in the developing human. As a result, ambitions to (1) establish norma...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197863/ https://www.ncbi.nlm.nih.gov/pubmed/35701428 http://dx.doi.org/10.1038/s41597-022-01329-y |
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author | Tobe, Russell H. MacKay-Brandt, Anna Lim, Ryan Kramer, Melissa Breland, Melissa M. Tu, Lucia Tian, Yiwen Trautman, Kristin Dietz Hu, Caixia Sangoi, Raj Alexander, Lindsay Gabbay, Vilma Castellanos, F. Xavier Leventhal, Bennett L. Craddock, R. Cameron Colcombe, Stanley J. Franco, Alexandre R. Milham, Michael P. |
author_facet | Tobe, Russell H. MacKay-Brandt, Anna Lim, Ryan Kramer, Melissa Breland, Melissa M. Tu, Lucia Tian, Yiwen Trautman, Kristin Dietz Hu, Caixia Sangoi, Raj Alexander, Lindsay Gabbay, Vilma Castellanos, F. Xavier Leventhal, Bennett L. Craddock, R. Cameron Colcombe, Stanley J. Franco, Alexandre R. Milham, Michael P. |
author_sort | Tobe, Russell H. |
collection | PubMed |
description | Most psychiatric disorders are chronic, associated with high levels of disability and distress, and present during pediatric development. Scientific innovation increasingly allows researchers to probe brain-behavior relationships in the developing human. As a result, ambitions to (1) establish normative pediatric brain development trajectories akin to growth curves, (2) characterize reliable metrics for distinguishing illness, and (3) develop clinically useful tools to assist in the diagnosis and management of mental health and learning disorders have gained significant momentum. To this end, the NKI-Rockland Sample initiative was created to probe lifespan development as a large-scale multimodal dataset. The NKI-Rockland Sample Longitudinal Discovery of Brain Development Trajectories substudy (N = 369) is a 24- to 30-month multi-cohort longitudinal pediatric investigation (ages 6.0–17.0 at enrollment) carried out in a community-ascertained sample. Data include psychiatric diagnostic, medical, behavioral, and cognitive phenotyping, as well as multimodal brain imaging (resting fMRI, diffusion MRI, morphometric MRI, arterial spin labeling), genetics, and actigraphy. Herein, we present the rationale, design, and implementation of the Longitudinal Discovery of Brain Development Trajectories protocol. |
format | Online Article Text |
id | pubmed-9197863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91978632022-06-16 A longitudinal resource for studying connectome development and its psychiatric associations during childhood Tobe, Russell H. MacKay-Brandt, Anna Lim, Ryan Kramer, Melissa Breland, Melissa M. Tu, Lucia Tian, Yiwen Trautman, Kristin Dietz Hu, Caixia Sangoi, Raj Alexander, Lindsay Gabbay, Vilma Castellanos, F. Xavier Leventhal, Bennett L. Craddock, R. Cameron Colcombe, Stanley J. Franco, Alexandre R. Milham, Michael P. Sci Data Data Descriptor Most psychiatric disorders are chronic, associated with high levels of disability and distress, and present during pediatric development. Scientific innovation increasingly allows researchers to probe brain-behavior relationships in the developing human. As a result, ambitions to (1) establish normative pediatric brain development trajectories akin to growth curves, (2) characterize reliable metrics for distinguishing illness, and (3) develop clinically useful tools to assist in the diagnosis and management of mental health and learning disorders have gained significant momentum. To this end, the NKI-Rockland Sample initiative was created to probe lifespan development as a large-scale multimodal dataset. The NKI-Rockland Sample Longitudinal Discovery of Brain Development Trajectories substudy (N = 369) is a 24- to 30-month multi-cohort longitudinal pediatric investigation (ages 6.0–17.0 at enrollment) carried out in a community-ascertained sample. Data include psychiatric diagnostic, medical, behavioral, and cognitive phenotyping, as well as multimodal brain imaging (resting fMRI, diffusion MRI, morphometric MRI, arterial spin labeling), genetics, and actigraphy. Herein, we present the rationale, design, and implementation of the Longitudinal Discovery of Brain Development Trajectories protocol. Nature Publishing Group UK 2022-06-14 /pmc/articles/PMC9197863/ /pubmed/35701428 http://dx.doi.org/10.1038/s41597-022-01329-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Tobe, Russell H. MacKay-Brandt, Anna Lim, Ryan Kramer, Melissa Breland, Melissa M. Tu, Lucia Tian, Yiwen Trautman, Kristin Dietz Hu, Caixia Sangoi, Raj Alexander, Lindsay Gabbay, Vilma Castellanos, F. Xavier Leventhal, Bennett L. Craddock, R. Cameron Colcombe, Stanley J. Franco, Alexandre R. Milham, Michael P. A longitudinal resource for studying connectome development and its psychiatric associations during childhood |
title | A longitudinal resource for studying connectome development and its psychiatric associations during childhood |
title_full | A longitudinal resource for studying connectome development and its psychiatric associations during childhood |
title_fullStr | A longitudinal resource for studying connectome development and its psychiatric associations during childhood |
title_full_unstemmed | A longitudinal resource for studying connectome development and its psychiatric associations during childhood |
title_short | A longitudinal resource for studying connectome development and its psychiatric associations during childhood |
title_sort | longitudinal resource for studying connectome development and its psychiatric associations during childhood |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197863/ https://www.ncbi.nlm.nih.gov/pubmed/35701428 http://dx.doi.org/10.1038/s41597-022-01329-y |
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