Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; Developmental Population Neuroscience Research Center, International Data Group/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Dev Cogn Neurosci. 2021 Dec;52:101020. doi: 10.1016/j.dcn.2021.101020. Epub 2021 Oct 11.
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.
正在进行的中国色彩巢项目 (CCNP) 的建立是为了创建人类生命周期内大脑结构和功能的规范图表,并使用加速纵向设计将与年龄相关的脑成像测量变化与行为、认知和情感的心理评估联系起来。在初始阶段,CCNP 旨在招募 1520 名健康个体(6-90 岁),包括三个阶段:发育阶段 (devCCNP:6-18 岁,N=480)、成熟阶段 (matCCNP:20-60 岁,N=560) 和衰老阶段 (ageCCNP:60-84 岁,N=480)。在本文中,我们介绍了 devCCNP 的概述,包括研究设计、参与者、数据收集和初步发现。devCCNP 从 2013 年到 2017 年在中国重庆西南大学进行了三次重复测量的数据采集 (CCNP-SWU,N=201)。自 2018 年 7 月以来,它一直在积累基线数据,自 2020 年 9 月以来,在中国科学院 (CCNP-CAS,N=168) 进行了第二次数据采集。devCCNP 中的每个参与者每隔 1.25 年随访 2.5 年。devCCNP 通过 MRI、父母和自我报告的问卷、行为评估和计算机任务获得了纵向神经影像学、生物物理、社会、行为和认知数据。此外,还收集了 2020 年 COVID-19 大流行期间儿童的学习、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问题,并证明了使用多中心纵向数据来描述整体大脑形态学的生长曲线的前景。CCNP 数据将通过国家科学数据银行共享,并鼓励进一步合作和数据共享的请求。