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在体内表征白质高信号的时空病理生理学,以厘清血管和神经退行性病变的影响。

Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions.

作者信息

Parent Olivier, Alasmar Zaki, Osborne Sophia, Bussy Aurélie, Costantino Manuela, Fouquet Jérémie P, Quesada Daniela, Pastor-Bernier Alexandre, Fajardo-Valdez Alfonso, Pichet-Binette Alexa, McQuarrie Ann, Maranzano Josefina, Devenyi Gabriel A, Steele Christopher J, Villeneuve Sylvia, Dadar Mahsa, Chakravarty M Mallar

机构信息

Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada.

Integrated Program in Neuroscience, McGill University, Montreal, Canada.

出版信息

medRxiv. 2025 Jun 11:2025.06.10.25329342. doi: 10.1101/2025.06.10.25329342.

Abstract

White matter hyperintensities (WMHs) are neuroimaging markers widely interpreted as caused by cerebral small vessel disease, yet emerging evidence suggests that a subset may have a neurodegenerative etiology. Current imaging methods have lacked the specificity to disentangle biological processes underlying WMHs . Here, we used voxel-level normative modeling and seven microstructural MRI markers with complementary biophysical sensitivities to generate single-subject high-resolution WMH pathophysiology maps in a large cohort (=32,526). We calculated data-driven spatial patterns of similar WMHs, revealing distinct periventricular, posterior, and anterior clusters. We identified a reproducible WMH signature linked to dementia and Alzheimer's disease, characterized by a posterior predominance and a pathophysiological pattern indicative of selective fiber degeneration. Posterior WMHs connected cortical regions vulnerable to tau pathology. Our framework distinguishes vascular and neurodegenerative contributions of WMHs , which could alter the course of treatment strategies and provide nuanced interpretations of research findings.

摘要

白质高信号(WMHs)是一种神经影像学标志物,广泛被认为是由脑小血管疾病引起的,但新出现的证据表明,其中一部分可能具有神经退行性病因。目前的成像方法缺乏特异性,无法区分WMHs背后的生物学过程。在此,我们使用体素水平的规范建模和七种具有互补生物物理敏感性的微观结构MRI标志物,在一个大型队列(=32,526)中生成单受试者高分辨率WMH病理生理学图谱。我们计算了相似WMHs的数据驱动空间模式,揭示了不同的脑室周围、后部和前部簇。我们确定了一种与痴呆症和阿尔茨海默病相关的可重复WMH特征,其特征是后部占优势以及一种表明选择性纤维变性的病理生理模式。后部WMHs连接了易受tau病理影响的皮质区域。我们的框架区分了WMHs的血管和神经退行性贡献,这可能会改变治疗策略的进程,并为研究结果提供细致入微的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b14/12204449/7d8e92f9afda/nihpp-2025.06.10.25329342v1-f0006.jpg

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