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Longitudinal test-retest neuroimaging data from healthy young adults in southwest China

Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-rete...

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Autores principales: Liu, Wei, Wei, Dongtao, Chen, Qunlin, Yang, Wenjing, Meng, Jie, Wu, Guorong, Bi, Taiyong, Zhang, Qinglin, Zuo, Xi-Nian, Qiu, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308199/
https://www.ncbi.nlm.nih.gov/pubmed/28195583
http://dx.doi.org/10.1038/sdata.2017.17
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author Liu, Wei
Wei, Dongtao
Chen, Qunlin
Yang, Wenjing
Meng, Jie
Wu, Guorong
Bi, Taiyong
Zhang, Qinglin
Zuo, Xi-Nian
Qiu, Jiang
author_facet Liu, Wei
Wei, Dongtao
Chen, Qunlin
Yang, Wenjing
Meng, Jie
Wu, Guorong
Bi, Taiyong
Zhang, Qinglin
Zuo, Xi-Nian
Qiu, Jiang
author_sort Liu, Wei
collection PubMed
description Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-retest reliability and reproducibility of brain-behavior correlations, as well as the development of novel causal insights into these correlational findings. Here we describe the SLIM dataset, which includes brain and behavioral data across a long-term retest-duration within three and a half years, mMRI scans provided a set of structural, diffusion and resting-state functional MRI images, along with rich samples of behavioral assessments addressed—demographic, cognitive and emotional information. Together with the Consortium for Reliability and Reproducibility (CoRR), the SLIM is expected to accelerate the reproducible sciences of the human brain by providing an open resource for brain-behavior discovery sciences with big-data approaches.
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spelling pubmed-53081992017-02-17 Longitudinal test-retest neuroimaging data from healthy young adults in southwest China Liu, Wei Wei, Dongtao Chen, Qunlin Yang, Wenjing Meng, Jie Wu, Guorong Bi, Taiyong Zhang, Qinglin Zuo, Xi-Nian Qiu, Jiang Sci Data Data Descriptor Multimodal magnetic resonance imaging (mMRI) has been widely used to map the structure and function of the human brain, as well as its behavioral associations. However, to date, a large sample with a long-term longitudinal design and a narrow age-span has been lacking for the assessment of test-retest reliability and reproducibility of brain-behavior correlations, as well as the development of novel causal insights into these correlational findings. Here we describe the SLIM dataset, which includes brain and behavioral data across a long-term retest-duration within three and a half years, mMRI scans provided a set of structural, diffusion and resting-state functional MRI images, along with rich samples of behavioral assessments addressed—demographic, cognitive and emotional information. Together with the Consortium for Reliability and Reproducibility (CoRR), the SLIM is expected to accelerate the reproducible sciences of the human brain by providing an open resource for brain-behavior discovery sciences with big-data approaches. Nature Publishing Group 2017-02-14 /pmc/articles/PMC5308199/ /pubmed/28195583 http://dx.doi.org/10.1038/sdata.2017.17 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Liu, Wei
Wei, Dongtao
Chen, Qunlin
Yang, Wenjing
Meng, Jie
Wu, Guorong
Bi, Taiyong
Zhang, Qinglin
Zuo, Xi-Nian
Qiu, Jiang
Longitudinal test-retest neuroimaging data from healthy young adults in southwest China
title Longitudinal test-retest neuroimaging data from healthy young adults in southwest China
title_full Longitudinal test-retest neuroimaging data from healthy young adults in southwest China
title_fullStr Longitudinal test-retest neuroimaging data from healthy young adults in southwest China
title_full_unstemmed Longitudinal test-retest neuroimaging data from healthy young adults in southwest China
title_short Longitudinal test-retest neuroimaging data from healthy young adults in southwest China
title_sort longitudinal test-retest neuroimaging data from healthy young adults in southwest china
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5308199/
https://www.ncbi.nlm.nih.gov/pubmed/28195583
http://dx.doi.org/10.1038/sdata.2017.17
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