Kim Michael E, Gao Chenyu, Ramadass Karthik, Newlin Nancy R, Kanakaraj Praitayini, Bogdanov Sam, Rudravaram Gaurav, Archer Derek, Hohman Timothy J, Jefferson Angela L, Morgan Victoria L, Roche Alexandra, Englot Dario J, Resnick Susan M, Beason Held Lori L, Cutting Laurie, Barquero Laura A, D'archangel Micah A, Nguyen Tin Q, Humphreys Kathryn L, Niu Yanbin, Vinci-Booher Sophia, Cascio Carissa J, Li Zhiyuan, Vandekar Simon N, Zhang Panpan, Gore John C, Landman Bennett A, Schilling Kurt G
Vanderbilt University, Department of Computer Science, Nashville, TN, USA.
Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, TN, USA.
bioRxiv. 2025 May 9:2025.05.08.652953. doi: 10.1101/2025.05.08.652953.
Normative reference charts are widely used in healthcare, especially for assessing the development of individuals by benchmarking anatomic and physiological features against population trajectories across the lifespan. Recent work has extended this concept to gray matter morphology in the brain, but no such reference framework currently exists for white matter (WM) even though WM constitutes the essential substrate for neuronal communication and large-scale network integration. Here, we present the first comprehensive WM brain charts, which describe how microstructural and macrostructural features of WM evolve across the lifespan, by leveraging over 26,199 diffusion MRI scans from 42 harmonized studies. Using generalized additive models for location, scale, and shape (GAMLSS), we estimate age- and sex-stratified trajectories for 72 individual white matter pathways, quantifying both tract-specific microstructural and morphometric features. We demonstrate that these WM brain charts enable four important applications: (1) defining normative trajectories of WM maturation and decline across distinct pathways, (2) identifying previously uncharacterized developmental milestones and spatial gradients of tract maturation, (3) detecting individualized deviations from normative patterns with clinical relevance across multiple neurological disorders, and (4) facilitating standardized, cross-study centile scoring of new datasets. By establishing a unified, interpretable reference framework for WM structure, these brain charts provide a foundational metric for research and clinical neuroscience. The accompanying open-access trajectories, centile scoring tools, and harmonization methods facilitate precise mapping of WM development, aging, and pathology across diverse populations. We release the brain charts and provide an out-of-sample alignment process as a Docker image: https://zenodo.org/records/15367426.
规范性参考图表在医疗保健领域广泛应用,特别是通过将解剖学和生理学特征与全生命周期的人群轨迹进行对比,来评估个体的发育情况。最近的研究工作已将这一概念扩展到大脑灰质形态,但对于白质(WM),目前尚无此类参考框架,尽管白质是神经元通信和大规模网络整合的重要基础。在此,我们展示了首个全面的白质脑图谱,通过利用来自42项协调研究的超过26,199次扩散磁共振成像扫描,描述了白质的微观结构和宏观结构特征如何在整个生命周期中演变。使用位置、尺度和形状的广义相加模型(GAMLSS),我们估计了72条个体白质通路的年龄和性别分层轨迹,量化了特定束的微观结构和形态特征。我们证明,这些白质脑图谱能够实现四个重要应用:(1)定义不同通路中白质成熟和衰退的规范性轨迹;(2)识别以前未被表征的发育里程碑和束成熟的空间梯度;(3)在多种神经系统疾病中检测与临床相关的、与规范性模式的个体偏差;(4)促进新数据集的标准化、跨研究百分位数评分。通过为白质结构建立一个统一、可解释的参考框架,这些脑图谱为研究和临床神经科学提供了一个基础指标。随附的开放获取轨迹、百分位数评分工具和协调方法有助于在不同人群中精确绘制白质发育、衰老和病理学图谱。我们发布了脑图谱,并提供了一个作为Docker镜像的样本外对齐过程:https://zenodo.org/records/15367426。