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首页> 外文期刊>Developmental cognitive neuroscience. >Chinese Color Nest Project : An accelerated longitudinal brain-mind cohort
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Chinese Color Nest Project : An accelerated longitudinal brain-mind cohort

机译：中国彩色巢项目：加速纵向脑思维队列

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The ongoing Chinese Color Nest Project (CCNP) was established to create normative charts for brain structure and function across the human lifespan, and link age-related changes in brain imaging measures to psychological assessments of behavior, cognition, and emotion using an accelerated longitudinal design. In the initial stage, CCNP aims to recruit 1520 healthy individuals (6–90 years), which comprises three phases: developing (devCCNP: 6–18 years, N =?480), maturing (matCCNP: 20–60 years, N =?560) and aging (ageCCNP: 60–84 years, N =?480). In this paper, we present an overview of the devCCNP, including study design, participants, data collection and preliminary findings. The devCCNP has acquired data with three repeated measurements from 2013 to 2017 in Southwest University, Chongqing, China (CCNP-SWU, N =?201). It has been accumulating baseline data since July 2018 and the second wave data since September 2020 in Chinese Academy of Sciences, Beijing, China (CCNP-CAS, N =?168). Each participant in devCCNP was followed up for 2.5 years at 1.25-year intervals. The devCCNP obtained longitudinal neuroimaging, biophysical, social, behavioral and cognitive data via MRI, parent- and self-reported questionnaires, behavioral assessments, and computer tasks. Additionally, data were collected on children’s learning, daily life and emotional states during the COVID-19 pandemic in 2020. We address data harmonization across the two sites and demonstrated its promise of characterizing the growth curves for the overall brain morphometry using multi-center longitudinal data. CCNP data will be shared via the National Science Data Bank and requests for further information on collaboration and data sharing are encouraged.
机译：建立了正在进行的中文颜色巢项目（CCNP），为人类寿命的脑结构和功能创造规范图表，并将脑成像措施与使用加速纵向设计的心理评估与心理评估的年龄相关变化。在初始阶段，CCNP旨在招募1520个健康个体（6-90岁），其中包括三个阶段：发展（DevCCNP：6-18岁，N =？480），成熟（Matccnp：20-60岁，N = ？560）和老化（AGECCNP：60-84岁，n = 480）。在本文中，我们概述了DEVCCNP，包括学习设计，参与者，数据收集和初步调查结果。 DEVCCNP在西南大学的2013年到2017年获得了三次重复测量的数据，中国重庆（CCNP-SWU，N = 2）。自2018年7月以来，它一直积累了基线数据，并自9月20日起在中国科学院北京北京（CCNP-CAS，N = 168）以来的第二波数据。 DevCCNP中的每个参与者在1.25年间隔内跟进2.5年。 DEVCCNP通过MRI，亲本和自我报告的调查问卷，行为评估和计算机任务获得纵向神经影像，生物物理，社会，行为和认知数据。此外，在2020年的Covid-19大流行期间收集了儿童学习，日常生活和情绪状态的数据。我们解决了两个地点的数据协调，并展示了使用多中心纵向的整体脑形态学的增长曲线的承诺数据。 CCNP数据将通过国家科学数据银行共享，并鼓励有关协作和数据共享的进一步信息。

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