developing Chinese Color Nest Project (devCCNP) Lite

CCNP takes its pilot stage (2013 – 2022) of the first ten-year. It aims at establishing protocols on the Chinese normative brain development trajectories across the human lifespan. It implements a structured multi-cohort longitudinal design (or accelerated longitudinal design), which is particularly viable for lifespan trajectory studies, and optimal for recoverable missing data. The CCNP pilot comprises three connected components: developing CCNP (devCCNP, baseline age = 6-18 years, 12 age cohorts, 3 waves, interval = 15 months), maturing CCNP (matCCNP, baseline age = 18-60 years, 14 age cohorts, 3 waves, interval = 39 months) and ageing CCNP (ageCCNP, baseline age = 60-84 years, 12 age cohorts, 3 waves, interval = 27 months). The developmental component of CCNP (devCCNP, 2013-2022), also known as "Growing Up in China", a ten-year's pilot stage of CCNP, has established follow-up cohorts in Chongqing (CKG, Southwest China) and Beijing (PEK, Northeast China). It is an ongoing project focused on longitudinal developmental research as creating and sharing a large-scale multimodal dataset for typically developing Chinese children and adolescents (ages 6.0-17.9 at enrollment) carried out in both school- and community-based samples. The devCCNP houses longitudinal data about demographics, biophysical measures, psychological and behavioral assessments, cognitive phenotyping, ocular-tracking, as well as multimodal magnetic resonance imaging (MRI) of brain's resting and naturalistic viewing function, diffusion structure and morphometry. With the collection of longitudinal structured images and psychobehavioral samples from school-age children and adolescents in multiple cohorts, devCCNP has constructed a full school-age brain template and its growth curve reference for Han Chinese which demonstrated the difference in brain development between Chinese and American school-aged children.*This dataset contains only T1-weighted MRI, Resting-state fMRI and Diffusion Tensor MRI data of devCCNP.To access the devCCNP Lite data, investigators must complete the application file Data Use Agreement on CCNP (DUA-CCNP) at http://deepneuro.bnu.edu.cn/?p=163 and have it reviewed and approved by the Chinese Color Nest Consortium (CCNC). All terms specified by the DUA-CCNP must be complied with. Meanwhile, the baseline CKG Sample on brain imaging are available to researchers via the International Data-sharing Neuroimaging Initiative (INDI) through the Consortium for Reliability and Reproducibility (CoRR). More information about CCNP can be found at: http://deepneuro.bnu.edu.cn/?p=163 or https://github.com/zuoxinian/CCNP. Requests for further information and collaboration are encouraged and considered by the CCNC, and please read the Data Use Agreement and contact us via [e-mail].

CCNP的先导阶段（2013年—2022年）为其首个十年周期。本项目旨在制定覆盖全人类生命周期的中国人群脑发育轨迹标准化规范，采用结构化多队列纵向研究设计（亦称为加速纵向研究设计）——此类设计尤其适配全生命周期轨迹研究，且对缺失数据的可恢复性优化效果极佳。

CCNP先导项目包含三个相互关联的组成部分：发育型CCNP（devCCNP，基线年龄6~18岁，涵盖12个年龄队列、3次随访波次，间隔时长15个月）、成熟型CCNP（matCCNP，基线年龄18~60岁，涵盖14个年龄队列、3次随访波次，间隔时长39个月）以及衰老型CCNP（ageCCNP，基线年龄60~84岁，涵盖12个年龄队列、3次随访波次，间隔时长27个月）。

其中发育型CCNP（devCCNP，2013年—2022年）又名‘中国成长计划（Growing Up in China）’，是CCNP首个十年先导阶段的核心项目，已在中国西南重庆（CKG）与华北北京（PEK）建立随访队列。该项目为持续进行的纵向发育研究，旨在为典型发育的中国儿童及青少年（入组时年龄6.0~17.9岁）构建并共享大规模多模态数据集，招募样本覆盖学校与社区人群。

devCCNP包含纵向采集的人口统计学资料、生物物理测量数据、心理与行为评估结果、认知表型数据、眼动追踪数据，以及涵盖脑静息态与自然观视功能、弥散结构与形态计量学的多模态磁共振成像（Magnetic Resonance Imaging, MRI）数据。通过对多队列学龄儿童及青少年的纵向结构化影像与心理行为样本进行采集，devCCNP已构建出针对汉族人群的完整学龄脑模板及其生长曲线参考标准，该模板揭示了中美学龄儿童脑发育的差异。

*本数据集仅包含devCCNP的T1加权磁共振成像、静息态功能磁共振成像（Resting-state fMRI）以及弥散张量磁共振成像（Diffusion Tensor MRI）数据。

研究者若需获取devCCNP精简版数据，须完成《CCNP数据使用协议》（DUA-CCNP）的申请流程，提交地址为http://deepneuro.bnu.edu.cn/?p=163，并经中国色彩巢联盟（Chinese Color Nest Consortium, CCNC）审核通过后方可使用，且须严格遵守DUA-CCNP规定的全部条款。

同时，基线重庆样本的脑影像数据可通过国际神经影像数据共享倡议（International Data-sharing Neuroimaging Initiative, INDI）经由可靠性与可重复性联盟（Consortium for Reliability and Reproducibility, CoRR）向研究者开放。

更多关于CCNP的信息可访问：http://deepneuro.bnu.edu.cn/?p=163 或 https://github.com/zuoxinian/CCNP。CCNC欢迎并审议各类信息咨询与合作申请，敬请查阅数据使用协议，并通过[e-mail]联系我方。

搜集汇总

背景与挑战

背景概述

devCCNP Lite是中国规范脑发展轨迹研究项目(CCNP)的组成部分，提供6-18岁中国儿童和青少年的T1加权MRI、静息态fMRI和扩散张量MRI数据，用于建立汉族学龄儿童大脑发展模板和生长曲线参考。数据访问需通过申请和审批流程。