Chinese Color Nest Project (CCNP)

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.To access the 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]. The CCNP data will be fully available to the research community when acquisition is completed for the pilot CCNP. At this stage, the CCNP data are only available to researchers and collaborators of CCNC.

中国彩色巢队列（Chinese Color Nest Project, CCNP）的首个十年试点阶段（2013年—2022年）正式启动。该项目旨在建立覆盖全生命周期的中国人群脑发育轨迹标准化规范方案。项目采用结构化多队列纵向研究设计（structured multi-cohort longitudinal design，亦称为加速纵向设计（accelerated longitudinal design）），该设计尤其适用于全生命周期轨迹研究，且对缺失数据的可恢复性优化极佳。CCNP试点项目包含三个相互关联的子研究：发育型CCNP（developing CCNP, devCCNP），基线年龄6~18岁，覆盖12个年龄队列，共3次随访，随访间隔15个月；成熟型CCNP（maturing CCNP, matCCNP），基线年龄18~60岁，覆盖14个年龄队列，共3次随访，随访间隔39个月；以及衰老型CCNP（ageing CCNP, ageCCNP），基线年龄60~84岁，覆盖12个年龄队列，共3次随访，随访间隔27个月。其中发育型CCNP（developing CCNP, devCCNP，实施周期2013年—2022年）亦被称为“中国成长记（Growing Up in China）”，作为CCNP首个十年的试点子项目，已在重庆（CKG，中国西南地区）与北京（PEK，中国东北部）建立了随访队列。本项目为持续进行的纵向发育研究，旨在建立并共享针对典型发育的中国儿童与青少年（入组时年龄6.0~17.9岁）的多模态大型数据集，研究样本覆盖学校与社区两类群体。devCCNP包含多类纵向数据：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、自然观看功能、弥散张量结构与形态测量学的多模态磁共振成像（magnetic resonance imaging, MRI）数据。通过多队列学龄儿童与青少年的纵向结构化影像及心理行为样本采集，devCCNP已构建出针对汉族人群的完整学龄期脑模板及其生长曲线参考标准，并揭示了中美学龄儿童脑发育的差异。研究者如需获取数据，需先完成CCNP数据使用许可协议（Data Use Agreement on CCNP, DUA-CCNP）的申请，访问地址为http://deepneuro.bnu.edu.cn/?p=163，并提交中国彩色巢联盟（Chinese Color Nest Consortium, CCNC）审核获批；所有研究者需严格遵守DUA-CCNP中规定的各项条款。同时，研究者可通过国际神经影像数据共享倡议（International Data-sharing Neuroimaging Initiative, INDI），借助可靠性与可重复性联盟（Consortium for Reliability and Reproducibility, CoRR）获取基线CKG队列的脑影像数据。更多关于CCNP的信息可访问以下网址：http://deepneuro.bnu.edu.cn/?p=163 或 https://github.com/zuoxinian/CCNP。CCNC欢迎并审核各类关于进一步信息咨询与合作的申请，研究者需先阅读数据使用许可协议，再通过邮箱[e-mail]联系我们。待CCNP试点阶段全部数据采集完成后，所有数据将向全球科研社区完全开放；目前，CCNP数据仅对CCNC的研究者与合作方开放。

搜集汇总

背景与挑战

背景概述

Chinese Color Nest Project (CCNP)是一个大规模、多模态的纵向研究数据集，旨在建立中国人群全生命周期的脑发育轨迹参考。项目覆盖6-84岁人群，包含丰富的神经影像和心理行为数据，特别关注中国学龄儿童和青少年的脑发育差异。数据目前仅对CCNP联盟的研究人员和合作者开放，需签署数据使用协议方可申请访问。