Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States of America; Department of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.
Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, United States of America.
J Mech Behav Biomed Mater. 2023 Jul;143:105921. doi: 10.1016/j.jmbbm.2023.105921. Epub 2023 May 24.
Progressive white matter degeneration in periventricular and deep white matter regions appears as white matter hyperintensities (WMH) on MRI scans. To date, periventricular WMHs are often associated with vascular dysfunction. Here, we demonstrate that ventricular inflation resulting from cerebral atrophy and hemodynamic pulsation with every heartbeat leads to a mechanical loading state of periventricular tissues that significantly affects the ventricular wall. Specifically, we present a physics-based modeling approach that provides a rationale for ependymal cell involvement in periventricular WMH formation. Building on eight previously created 2D finite element brain models, we introduce novel mechanomarkers for ependymal cell loading and geometric measures that characterize lateral ventricular shape. We show that our novel mechanomarkers, such as maximum ependymal cell deformations and maximum curvature of the ventricular wall, spatially overlap with periventricular WMH locations and are sensitive predictors for WMH formation. We also explore the role of the septum pellucidum in mitigating mechanical loading of the ventricular wall by constraining the radial expansion of the lateral ventricles during loading. Our models consistently show that ependymal cells are stretched thin only in the horns of the ventricles irrespective of ventricular shape. We therefore pose that periventricular WMH etiology is strongly linked to the deterioration of the over-stretched ventricular wall resulting in CSF leakage into periventricular white matter. Subsequent secondary damage mechanisms, including vascular degeneration, exacerbate lesion formation and lead to progressive growth into deep white matter regions.
在脑室周围和深部白质区域,进行性白质变性表现为 MRI 扫描上的白质高信号(WMH)。迄今为止,脑室周围的 WMH 通常与血管功能障碍有关。在这里,我们证明了由于脑萎缩和每一次心跳引起的血流脉动导致的脑室膨胀,会对脑室周围组织造成机械负荷状态,从而对脑室壁产生显著影响。具体来说,我们提出了一种基于物理的建模方法,为室管膜细胞参与脑室周围 WMH 形成提供了依据。在之前创建的八个二维有限元脑模型的基础上,我们引入了新的室管膜细胞负荷机械标志物和描述侧脑室形状的几何度量。我们表明,我们的新机械标志物,如室管膜细胞的最大变形和脑室壁的最大曲率,与脑室周围 WMH 的位置空间重叠,并且是 WMH 形成的敏感预测指标。我们还探讨了透明隔在限制侧脑室在加载过程中的径向扩张,从而减轻脑室壁机械负荷方面的作用。我们的模型一致表明,只有在脑室的角部,室管膜细胞才会被拉伸变薄,而与脑室的形状无关。因此,我们提出脑室周围 WMH 的病因与过度拉伸的脑室壁恶化密切相关,导致 CSF 漏入脑室周围白质。随后的继发性损伤机制,包括血管退化,会加剧病变形成,并导致病变向深部白质区域进展。