Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories

作者：Lianglong Sun, Qin Wen, Xinyuan Liang, Caihong Wang, Weiwei Men, Yunyun Duan, Xue-Ru Fan, Qing Cai, Shijun Qiu, Meiyun Wang, Qiyong Gong, Yanghua Tian, Peipeng Liang, Zeyu Liu, Xiaochu Zhang, Hongwen Song, Zhaoxiang Ye, Peng Zhang, Qi Dong, Sha Tao, Wenzhen Zhu, Jintao Zhang, Fang Xie, Jianfeng Feng, Jing Zhang, Chao Liu, Qiujin Qian, Bing Zhang, Ming Meng, Hu Li, Jia‐Hong Gao, Tianzi Jiang, Xiongzhao Zhu, Yuhan Zhang, Liping Liu, Hanjun Liu, Weihua Liao, Dawei Wang, Huali Wang, Tengfei Guo, Zhengjia Dai, Su Lui, Kai Xu, Lingjiang Li, Peng Xie, Chunliang Feng, Guangbin Cui, Jinsong Wu, Xuntao Yin, Guosheng Ding, Junfang Xian, Lianping Zhao, Jie Lu, Zhifen Liu, Ying Han, Zhen Yuan, Xilin Zhang, Tianmei Si, Fuqing Zhou, Yan Bi, Dan Wu, Fei Gao, Fei Wang, Shaozheng Qin, Gang Wang, Feng Chen, Zhiqiang Zhang, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Huafu Chen, Jinhua Cai, Shuwei Liu, Zuojun Geng, Chen Zhang, Ning Mao, Hong Yin, Bo Liu, Heng Ma, Bo Gao, Yanwei Miao, Xiang-Zhen Kong, Yuan Zhou, Li Liu, Jianping Hu, Liang Wang, Quan Zhang, Hua Shu, Peijun Wang, Tatia M.C. Lee, Qingjiu Cao, Li Yang, Xi Zhang, Wenbo Luo, Liang Meng, Hongxiang Yao, Meng Li, Hao Huang, Yun Peng, Zaizhu Han, Chao Zhou, Haibo Xu, Ming Feng, Wen Zen Shen, Yuzheng Hu, Huajun Chen, Ying Wang, Gaolang Gong, Zhihan Yan, Xiaojun Xu, Jun O. Liu, Guangxiang Chen, Pan Wang, Yun Jun Yang, Dezhong Yao, Tong HAN, Huiguang He, C. Chen, Qihong Zou, Hesheng Liu, Hui Zhang, Chao Chai, Chunming Lu, Yiheng Tu, Yong Liu, Danhua Lin, Weihua Zhao, Xiufeng Xu, Xiaoli Liu, Zaixu Cui, Zheng Wang, Ruiwang Huang, Zhanjiang Li, Yunzhe Liu, Xiaojun Li, Xiujie Yang, Nan Zhang, Antao Chen, Bin Zhang, Pengmin Qin, Chen Liu, Zhenwei Yao, Yanjun Wei, Huishu Yuan, Feng Wang, Yu Zhang, Quan Zhang, Fang Hu, Huan Xie, Xuehai Wu, Jiaojian Wang, Guoguang Fan, Zhi­qun Wang, Dongling Zhang, Hui Zhong, Yonggang Wang, Lijun Bai, Yongmei Li, Xinhua Wei, Jinhui Wang, Yi Zhang, Hongjian He, Shuyu Li, Tijiang Zhang, Fan Jiang, Jian Yang, Feiyan Chen, Liu Feng, Huaigui Liu, Nan Chen, Jinzhu Yang, Bo Hou, Chu‐Chung Huang, Jiajia Zhu, Huanhuan Cai, Dongtao Wei, Qunlin Chen, Ying Wei, Peifang Miao, Yunxia Li, Yaou Liu, Ning Yang, Xiaoxue Gao, Yujie Liu, Yu Shen, Xiaoqi Huang, Gong‐Jun Ji, Alzheimer’s Disease Neuroimaging Initiative, DIDA-MDD Working Group, MCADI, Long Jiang Zhang, Jiang Qiu, Yongqiang Yu, C.-T. Lin, Feng Feng, Kuncheng Li, Chunshui Yu, Yong He · 发表于：bioRxiv (Cold Spring Harbor Laboratory) · 年份：2025 · DOI：10.1101/2025.06.17.659820 · 被引用次数：3 · 研究领域：Functional Brain Connectivity Studies、Neonatal and fetal brain pathology、Advanced Neuroimaging Techniques and Applications

. However, current lifespan brain charts are primarily derived from European and North American cohorts, with Asian populations severely underrepresented. Here, we present the first population-specific brain charts for China, developed through the Chinese Lifespan Brain Mapping Consortium (Phase I) using neuroimaging data from 43,037 participants (aged 0-100 years) across 384 sites nationwide. We establish the lifespan normative trajectories for 296 structural brain phenotypes, encompassing global, subcortical, and cortical measures. Cross-population comparisons with Western brain charts (based on data from 56,339 participants aged 0-100 years) reveal distinct neurodevelopmental patterns in the Chinese population, including prolonged cortical and subcortical maturation, accelerated cerebellar growth, and earlier development of sensorimotor regions relative to paralimbic regions. Crucially, these Chinese-specific charts outperform Western-derived models in predicting healthy brain phenotypes and detecting pathological deviations in Chinese clinical cohorts. These findings highlight the urgent need for diverse, population-representative brain charts to advance equitable precision neuroscience and improve clinical validity across populations.