School of Medicine Publications and Presentations
Document Type
Article
Publication Date
8-21-2023
Abstract
During the past decade, cognitive neuroscience has been calling for population diversity to address the challenge of validity and generalizability, ushering in a new era of population neuroscience. The developing Chinese Color Nest Project (devCCNP, 2013–2022), the first ten-year stage of the lifespan CCNP (2013–2032), is a two-stages project focusing on brain-mind development. The project aims to create and share a large-scale, longitudinal and multimodal dataset of typically developing children and adolescents (ages 6.0–17.9 at enrolment) in the Chinese population. The devCCNP houses not only phenotypes measured by demographic, biophysical, psychological and behavioural, cognitive, affective, and ocular-tracking assessments but also neurotypes measured with magnetic resonance imaging (MRI) of brain morphometry, resting-state function, naturalistic viewing function and diffusion structure. This Data Descriptor introduces the first data release of devCCNP including a total of 864 visits from 479 participants. Herein, we provided details of the experimental design, sampling strategies, and technical validation of the devCCNP resource. We demonstrate and discuss the potential of a multicohort longitudinal design to depict normative brain growth curves from the perspective of developmental population neuroscience. The devCCNP resource is shared as part of the “Chinese Data-sharing Warehouse for In-vivo Imaging Brain” in the Chinese Color Nest Project (CCNP) – Lifespan Brain-Mind Development Data Community (https://ccnp.scidb.cn) at the Science Data Bank.
Recommended Citation
Fan, X. R., Wang, Y. S., Chang, D., Yang, N., Rong, M. J., Zhang, Z., ... & Zuo, X. N. (2023). A longitudinal resource for population neuroscience of school-age children and adolescents in China. Scientific data, 10(1), 545. https://doi.org/10.1038/s41597-023-02377-8
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Scientific Data
DOI
10.1038/s41597-023-02377-8
Academic Level
faculty
Mentor/PI Department
Office of Human Genetics
Comments
Copyright © 2023, The Author(s).
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