特定人群脑图谱揭示了中西神经发育轨迹的差异。
Population-specific brain charts reveal Chinese-Western differences in neurodevelopmental trajectories.
作者信息
Sun Lianglong, Qin Wen, Liang Xinyuan, Wang Caihong, Men Weiwei, Duan Yunyun, Fan Xue-Ru, Cai Qing, Qiu Shijun, Wang Meiyun, Gong Qiyong, Tian Yanghua, Liang Peipeng, Liu Zeyu, Zhang Xiaochu, Song Hongwen, Ye Zhaoxiang, Zhang Peng, Dong Qi, Tao Sha, Zhu Wenzhen, Zhang Jintao, Xie Fang, Feng Jianfeng, Zhang Jing, Liu Chao, Qian Qiujin, Zhang Bing, Meng Ming, Hu Li, Gao Jia-Hong, Jiang Tianzi, Zhu Xiongzhao, Zhang Yuhan, Liu Liping, Liu Hanjun, Liao Weihua, Wang Dawei, Wang Huali, Guo Tengfei, Dai Zhengjia, Lui Su, Xu Kai, Li Lingjiang, Xie Peng, Feng Chunliang, Cui Guangbin, Wu Jinsong, Yin Xuntao, Ding Guosheng, Xian Junfang, Zhao Lianping, Lu Jie, Liu Zhifen, Han Ying, Yuan Zhen, Zhang Xilin, Si Tianmei, Zhou Fuqing, Bi Yanchao, Wu Dan, Gao Fei, Wang Fei, Qin Shaozheng, Wang Gang, Chen Feng, Zhang Zhiqiang, Sui Jing, Chen Huafu, Cai Jinhua, Liu Shuwei, Geng Zuojun, Zhang Chen, Mao Ning, Yin Hong, Liu Bo, Ma Heng, Gao Bo, Miao Yanwei, Kong Xiang-Zhen, Zhou Yuan, Liu Li, Hu Jianping, Wang Liang, Zhang Quan, Shu Hua, Wang Peijun, Lee Tatia M C, Cao Qingjiu, Yang Li, Zhang Xi, Luo Wenbo, Liang Meng, Yao Hongxiang, Li Meng, Huang Hao, Peng Yun, Han Zaizhu, Zhou Chao, Xu Haibo, Feng Ming, Shen Wen, Hu Yuzheng, Chen Huajun, Wang Ying, Gong Gaolang, Yan Zhihan, Xu Xiaojun, Liu Jun, Chen Guangxiang, Wang Pan, Yang Yunjun, Yao Dezhong, Han Tong, He Huiguang, Chen Ce, Zou Qihong, Liu Hesheng, Zhang Hui, Chai Chao, Lu Chunming, Tu Yiheng, Liu Yong, Lin Danhua, Zhao Weihua, Xu Xiufeng, Liu Xiaoli, Cui Zaixu, Wang Zheng, Huang Ruiwang, Li Zhanjiang, Liu Yunzhe, Li Xiaojun, Yang Xiujie, Zhang Nan, Chen Antao, Zhang Bin, Qin Pengmin, Liu Chen, Yao Zhenwei, Wei Yanjun, Yuan Huishu, Wang Feng, Zhang Yu, Zhang Quan, Hu Fang, Xie Huan, Wu Xuehai, Wang Jiaojian, Fan Guoguang, Wang Zhiqun, Zhang Dongling, Zhong Hui, Wang Yonggang, Bai Lijun, Li Yongmei, Wei Xinhua, Wang Jinhui, Zhang Yi, He Hongjian, Li Shuyu, Zhang Tijiang, Jiang Fan, Yang Jian, Chen Feiyan, Liu Feng, Liu Huaigui, Chen Nan, Yang Jinzhu, Hou Bo, Huang Chu-Chung, Zhu Jiajia, Cai Huanhuan, Wei Dongtao, Chen Qunlin, Wei Ying, Miao Peifang, Li Yunxia, Liu Yaou, Yang Ning, Gao Xiaoxue, Liu Yujie, Shen Yu, Huang Xiaoqi, Ji Gong-Jun, Zhang Longjiang, Qiu Jiang, Yu Yongqiang, Lin Ching-Po, Feng Feng, Li Kuncheng, Yu Chunshui, He Yong
机构信息
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
出版信息
bioRxiv. 2025 Jun 18:2025.06.17.659820. doi: 10.1101/2025.06.17.659820.
Human brain charts provide unprecedented opportunities for decoding neurodevelopmental milestones and establishing clinical benchmarks for precision brain medicine . 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.
人类脑图谱为解码神经发育里程碑以及为精准脑医学建立临床基准提供了前所未有的机遇。然而，目前的全生命周期脑图谱主要来自欧洲和北美队列，亚洲人群的代表性严重不足。在此，我们展示了首个针对中国人群的脑图谱，该图谱由中国全生命周期脑图谱联盟（第一阶段）利用来自全国384个地点的43037名参与者（年龄在0至100岁之间）的神经影像数据绘制而成。我们建立了296种脑结构表型的全生命周期标准轨迹，涵盖整体、皮层下和皮层测量指标。与西方脑图谱（基于56339名0至100岁参与者的数据）进行的跨人群比较揭示了中国人群独特的神经发育模式，包括皮层和皮层下成熟时间延长、小脑生长加速以及感觉运动区域相对于边缘旁区域的更早发育。至关重要的是，这些针对中国人群的图谱在预测健康脑表型以及检测中国临床队列中的病理偏差方面优于源自西方的模型。这些发现凸显了迫切需要多样化的、具有人群代表性的脑图谱，以推动公平的精准神经科学发展并提高不同人群的临床有效性。
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