A longitudinal resource for population neuroscience of school-age children and adolescents in China

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.

Ventral attention network connectivity is linked to cortical maturation and cognitive ability in childhood

“…The accelerated longitudinal design of the Chinese Color Nest Project 32,37 , which includes longitudinal tracking data with a visiting interval of 1.25 years, provided for additional analyses in participants who were scanned both before (child group) and after their 12th birthday (adolescent group). Here, we identified a set of child participants (n=22) from the low ventral attention group who were also subsequently scanned in their adolescence (n=26, mean age of initial scan=10.98±0.64; mean age of second scan=12.90±0.69).…”

Initiating PeriCBD to probe perinatal influences on neurodevelopment during 3–10 years in China

“…Figure 5 presents the proportion of the quality labels assigned by the two raters. The T1 images that passed QC were preprocessed using the Connectome Computation System (CCS) 67 in the following steps: (1) Images were cropped with FSL’s robustfov to remove lower head and neck; (2) A spatially adaptive non-local means method was applied to denoise the images; (3) Skull stripping was performed using deepbet 68 , which involved training a new pediatric U-Net model based on the CCNP dataset 69 ; and (4) FreeSurfer (version 6.0.0) was utilized to obtain morphological measurements of different brain morphometry 70 . During this step, the brainmask generated by FreeSurfer was replaced by the brainmask generated by deepbet .…”

广西少数民族学龄前儿童身心发展规律研究

“…功能属性的重要因素 [5,6] . 纵观国内大规模队列建设, 汉族青少年和 成人是队列样本的主要来源, 而少数民族群体, 特别是 学龄前儿童参与项目的比例较低 [19,20,22] . 因此, 从人口 [24] .…”