Meng Ziyu, Ma Yuhao, Zhang Wenqi, Zhuang Huixiang, Xu Chang, Zhang Yaoyu, Li Yao
National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy (NERC-AMRT), School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Sci Data. 2025 Jul 9;12(1):1169. doi: 10.1038/s41597-025-05406-w.
Cerebral blood flow (CBF) is a crucial biological marker providing valuable insights into the developmental and aging processes of the central nervous system. A comprehensive understanding of the age- and sex-specific distribution of CBF in healthy populations is essential for distinguishing between pathological changes and those associated with normal aging. This study introduces a collection of age- and sex-specific CBF atlases across the lifespan (7-93 years old), derived from a large data size (N = 1166) obtained from four public and one private datasets. The CBF maps were measured using pseudo-continuous arterial spin labelling (pCASL) MRI and registered to age-specific structural templates derived from corresponding T1-weighted scans. This approach enables a more precise characterization of CBF changes associated with anatomical variations across different age groups. To ensure data reliability, rigorous quality control procedures and extensive validation at both temporal and spatial scales were conducted. These openly accessible atlases serve as a valuable public neuroimaging resource, facilitating the identification of CBF patterns across various stages of development and aging. Additionally, they provide age- and sex-specific health priors, aiding in the detection of abnormal CBF associated with brain disorders throughout the lifespan.
脑血流量（CBF）是一种关键的生物学标志物，能为深入了解中枢神经系统的发育和衰老过程提供有价值的见解。全面了解健康人群中CBF的年龄和性别特异性分布，对于区分病理变化和与正常衰老相关的变化至关重要。本研究引入了一组涵盖整个生命周期（7至93岁）的年龄和性别特异性CBF图谱，这些图谱来自从四个公共数据集和一个私人数据集获取的大数据量（N = 1166）。CBF图谱使用伪连续动脉自旋标记（pCASL）MRI进行测量，并与从相应T1加权扫描得出的年龄特异性结构模板进行配准。这种方法能够更精确地表征与不同年龄组解剖学变异相关的CBF变化。为确保数据可靠性，进行了严格的质量控制程序以及在时间和空间尺度上的广泛验证。这些可公开获取的图谱是宝贵的公共神经影像学资源，有助于识别发育和衰老各个阶段的CBF模式。此外，它们提供了年龄和性别特异性的健康先验信息，有助于在整个生命周期中检测与脑部疾病相关的异常CBF。
