Scholay

学术搜索 · AI 审稿 · LaTeX 协作

China Autism Brain Imaging Consortium: Charting Brain Growth in Chinese Children with Autism

作者:Lei Li, Miaoshui Bai, Kelong Cai, Doudou Cao, Xuan Cao, Jie Chen, Xue-Ru Fan, Peng Gao, Wenjing Gao, Dongzhi He, Fanchao Meng, Xi Jiang, Ni Li, Xiuhong Li, Li‐Zi Lin, Yingqiang Liu, Zhimei Liu, Ning Pan, Qi Qi, Bin Qin, Xiaolong Shan, Xiao‐Jing Shou, Longlun Wang, Miaoyan Wang, Xin Wang, Dandan Xu, Xu-Cheng Yin, Xue Yang, Ting Yang, Yun Zhang, Jinhua Cai, Huafu Chen, Aiguo Chen, Feiyong Jia, Haoxiang Jiang, Jing Jin, Tingyu Li, Shijun Li, Wei Wang, Jia Wang, Lijie Wu, Xuntao Yin, Rong Zhang, Xi‐Nian Zuo, Xujun Duan · 发表于:bioRxiv (Cold Spring Harbor Laboratory) · 年份:2025 · DOI:10.1101/2025.02.20.639044 · 被引用次数:4 · 研究领域:Autism Spectrum Disorder Research、Genetics and Neurodevelopmental Disorders

Autism Spectrum Disorder (ASD) is a lifelong neurodevelopmental condition characterized by atypical brain growth. While advances in neuroimaging and openly sharing large-sample datasets such as the Autism Brain Imaging Data Exchange (ABIDE) have improved understanding of ASD, most studies focus on adolescents and adults, with early brain development-critical for diagnosis and intervention-remaining underexplored. Existing research predominantly involves Western samples, offering limited insight and generalizability into non-Caucasian populations. We introduce the China Autism Brain Imaging Consortium (CABIC) (https://php.bdnilab.com/resources/), a grassroots effort by researchers across the country to aggregate previously collected multi-site structural MRI datasets and phenotypic information from 1,451 autistic children and 1,119 typically developing children, covering an age range from early childhood to school age (1.0 - 12.92 years). Here, we present this resource and depict brain growth charts to push forward a more comprehensive understanding of the brain development in Chinese autism children. We constructed brain growth charts that reveal a developmental shift in autistic children, transitioning from early overgrowth to delayed maturation. Regional analyses identified distinct atypical trajectories across specific brain regions. Individual deviation scores quantified inter-subject variability, characterizing the heterogeneity of brain development in ASD. Comparative a...