de Kort Floor A S, Vinke Elisabeth J, van der Lelij Ewoud J, Anblagan Devasuda, Bastin Mark E, Beiser Alexa, Brodaty Henry, Chaturvedi Nishi, Cheng Bastian, Cox Simon R, DeCarli Charles, Enzinger Christian, Fletcher Evan, Frayne Richard, de Groot Marius, Huang Felicia, Ikram M Arfan, Jiang Jiyang, Lam Bonnie Y K, Maillard Pauline, Mayer Carola, McCreary Cheryl R, Mok Vincent, Maniega Susana Muñoz, Petersen Marvin, Roshchupkin Genady, Sachdev Perminder S, Schmidt Reinhold, Seiler Stephan, Seshadri Sudha, Sudre Carole H, Thomalla Götz, Twerenbold Raphael, Valdés Hernández Maria, Vernooij Meike W, Wardlaw Joanna M, Wen Wei, Kuijf Hugo J, Biessels Geert Jan, Biesbroek J Matthijs
Department of Neurology, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands.
Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
Neurobiol Aging. 2025 Feb;146:38-47. doi: 10.1016/j.neurobiolaging.2024.11.006. Epub 2024 Nov 20.
White matter hyperintensities (WMH) increase with age, with marked interindividual variation. There is a need for normative data by age and sex, to improve individualized WMH burden assessment. In this study, we pooled cross-sectional data from 15 population-based cohorts (14,876 nondemented individuals, age 18-97 years), through the Meta VCI Map consortium. Whole brain and tract-specific MRI-assessed WMH volumes were calculated in MNI-152 space. We used quantile regression to create centile curves of WMH volume versus age, stratified by sex. Total WMH volume and interindividual variance increased exponentially with age for both sexes, with females showing higher WMH volumes. WMH volume increase with aging was not uniform across the white matter, but instead followed one of three different patterns depending on location. Age- and sex-specific normative data for total and regional WMH volumes were created. Our study provides detailed information on the normal distribution of total and regional WMH volumes across adulthood. The normative data enable a quantitative approach to interpreting total and regional WMH volumes in clinical practice and research settings.
白质高信号（WMH）随年龄增长而增加，个体间存在显著差异。需要按年龄和性别提供规范数据，以改进个体WMH负担评估。在本研究中，我们通过Meta VCI Map联盟汇总了来自15个基于人群的队列（14876名非痴呆个体，年龄18 - 97岁）的横断面数据。在MNI - 152空间中计算全脑和特定脑区的MRI评估的WMH体积。我们使用分位数回归来创建按性别分层的WMH体积与年龄的百分位数曲线。两性的总WMH体积和个体间差异均随年龄呈指数增长，女性的WMH体积更高。WMH体积随衰老的增加在白质中并不均匀，而是根据位置遵循三种不同模式之一。创建了全脑和区域WMH体积的年龄和性别特异性规范数据。我们的研究提供了关于成年期全脑和区域WMH体积正态分布的详细信息。这些规范数据为在临床实践和研究环境中解释全脑和区域WMH体积提供了一种定量方法。
