Quantified Volumes of White Matter Hyperintensity Spatial Patterns Generated by Voxel-Based Spectral Clustering

This dataset includes 1,046 unique individuals from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort who were selected based on the availability of baseline 3T structural MRI scans, including FLAIR and MPRAGE sequences. For each participant, demographic information such as age at scan, sex, and race is provided, along with medical history details including hypertension, diabetes, and hypercholesterolemia, as well as social history factors like alcohol use and smoking. The dataset features quantified total white matter hyperintensity (WMH) volume and volumes of five distinct WMH spatial patterns identified through voxel-based spectral clustering. These spatial patterns represent anatomically and potentially pathophysiologically unique WMH subtypes derived from advanced voxel-wise clustering analysis. The data were generated from harmonized baseline MRI, enabling standardized comparison across individuals. This comprehensive dataset supports research into WMH heterogeneity and its associations with demographic, medical, and lifestyle factors in aging and neurodegenerative diseases.本数据集包含来自阿尔茨海默病神经影像倡议（Alzheimer’s Disease Neuroimaging Initiative, ADNI）队列的1046名独立受试者，筛选标准为具备基线3T结构磁共振成像扫描数据，且包含液体衰减反转恢复（FLAIR）及磁化准备快速梯度回波（MPRAGE）序列。针对每名受试者，本数据集提供了扫描时年龄、性别、种族等人口统计学信息，同时涵盖高血压、糖尿病、高胆固醇血症等病史细节，以及饮酒、吸烟等社会生活史相关因素。本数据集包含经基于体素的谱聚类算法识别出的总脑白质高信号（white matter hyperintensity, WMH）体积，以及五种不同WMH空间分布模式的体积量化数据。这些空间分布模式代表了解剖学层面及潜在病理生理学层面独特的WMH亚型，均通过先进的体素级聚类分析推导得出。该数据集源自经过标准化协调的基线MRI数据，可实现不同受试者间的标准化对比。这款全面的数据集可为脑白质高信号异质性及其与衰老及神经退行性疾病中人口统计学、病史及生活方式因素的关联研究提供有力支撑。