Charting brain morphology in international healthy and neurological populations

  • Zhizheng Zhuo
  • , Li Chai
  • , Yinshan Wang
  • , Peng Gao
  • , Xiaolu Xu
  • , Liping Ai
  • , Feng Ao
  • , Yalin Bai
  • , Yutong Bai
  • , James H. Cole
  • , Haihua Bao
  • , Qing Cai
  • , Jiancang Cao
  • , Feiyan Chen
  • , Feng Chen
  • , Kun Chen
  • , Yaojing Chen
  • , Dan Cheng
  • , Zaixu Cui
  • , Hui Dai
  • Demao Deng, Yuhui Du, Guoguang Fan, Ying Fu, Zheqi Gao, Lubin Gou, Chunjie Guo, Min Guo, Ya Guo, Xuemei Han, Hongjian He, Yang Hou, Basheng Hu, Jianping Hu, Chu Chung Huang, Peiyu Huang, Junqiang Lei, Hui Jie Li, Jianrui Li, Junlin Li, Kexuan Li, Shaowu Li, Wenling Li, Xinyu Li, Yang Li, Yao Li, Yongmei Li, Yuna Li, Yunfei Li, Peipeng Liang, Haiyan Liao, Ching Po Lin, Jun Liu, Jungang Liu, Weiqi Liu, Ying Liu, Shanshan Lu, Jie Luo, Yuqi Luo, Su Lui, Hailin Ma, Ning Mao, Lanxi Meng, Linghui Meng, Yinfeng Qian, Jun Qiu, Mengjie Rong, Juwei Shao, Qin Shen, Yulu Shi, Zhenyu Shu, Jun Sun, Decai Tian, Yiheng Tu, Fei Wang, Jinhui Wang, Junkai Wang, Wen Wang, Xiaochun Wang, Yilong Wang, Yong Wang, Zheng Wang, Jinyuan Weng, Feiyun Wu, Ying Wu, Yuankui Wu, Haiyan Wu, Xiaona Xia, Cheng Xu, Jiaheng Xu, Jun Xu, Rui Xu, Siyao Xu, Panjie Yan, Ruimeng Yang, Song Tao Yin, Xi Yin, Yulong Yin, Rongjun Yu, Zhen Yuan, Feifei Zhang, Hailian Zhang, Jianguo Zhang, Ningnannan Zhang, Renlong Zhang, Tong Zhang, Yaqin Zhang, Zhanjun Zhang, Zhiqiang Zhang, Zhihua Zhang, Jian Zhao, Lianping Zhao, Xiaohu Zhao, Xinxiang Zhao, Xin Zhao, Xia Zhe, Fuqing Zhou, Jiajia Zhu, Li Zhu, Kuncheng Li, Xujun Duan, Yunyun Duan, Xi Nian Zuo*, Yaou Liu*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Quantifying individual deviations in brain morphology from normative references is useful for understanding neurodiversity and facilitating personalized management of brain health. Here we report Chinese brain normative references using morphological imaging scans of 24,061 healthy volunteers from 105 sites, revealing later peak ages of lifespan neurodevelopmental milestones (1.2–8.9 years) than European/North American populations. We model individual brain deviation scores in 3,932 individuals with different neurological disorders from population references to evaluate three key aspects of brain health assessment using machine learning approaches: estimating disease propensity, predicting cognitive and physical outcomes and assessing treatment effects with distinct disability progression. The norm-deviation scores outperformed raw structural measures in these evaluations. Chinese-specific normative brain references may foster personalized diagnosis and prognosis in neurological diseases, enabling clinically applicable assessments of brain health.

Original languageEnglish
JournalNature Neuroscience
DOIs
StateAccepted/In press - 2025

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