A multiphysics model to predict periventricular white matter hyperintensity growth during healthy brain aging
A multiphysics model to predict periventricular white matter hyperintensity growth during healthy brain aging
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预测健康大脑衰老过程中脑室周围白质高信号生长的多物理模型
DOI：
10.1016/j.brain.2023.100072
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发表时间：
2023
影响因子：
--
通讯作者：
Weickenmeier, Johannes
中科院分区：
文献类型：
--
作者：
Caçoilo, Andreia;Dortdivanlioglu, Berkin;Rusinek, Henry;Weickenmeier, Johannes
脑室周围白色物质高信号（WMH）是老龄化大脑的医学图像中的常见发现，并且与由脑小血管疾病、白色物质炎症和侧脑室壁变性引起的白色物质损伤相关。尽管做了大量的工作，室周WMH的病因仍不清楚。我们提出，有一个强耦合之间的年龄相关的心室扩张和退化的心室壁，导致失调的液体交换通过这个脑液屏障。在这里，我们提出了一个多物理场模型，耦合脑萎缩驱动的心室壁负荷与室周WMH的形成和进展。我们使用患者数据创建了8个二维有限元模型，并展示了我们损伤模型的预测能力。我们的模拟表明，我们准确地捕捉到的时空特征的脑室周围WMH增长。首先，我们观察到损伤首先出现在前角和后角，然后扩散到更深的白色组织。另一方面，我们注意到室周WMH首次出现需要长达12年的时间，并在我们的模型中得出平均年化室周WMH损伤增长率为15.2±12.7 mm 2/年。敏感性分析表明，我们的模型参数提供了足够的敏感性，合理化的主题特定的差异，相对于发病时间和损害的增长。此外，我们发现，分隔左右侧脑室的透明隔，首先延迟了室周WMH的发作，但从长远来看，会导致更高的WMH负荷。重要性声明：脑老化伴随着许多结构和功能的变化。在几乎所有的老年脑中，白色病变出现在脑室周围和弥漫性皮质下区域，这些区域与进行性功能衰退有关。在我们的工作中，我们提出了一个多物理场模型，不仅预测发病的脑室周围白色物质病变的位置，而且其随后的增长，由于年龄相关的脑萎缩和脑室扩大。我们的模型提供了一个力学为基础的理由，他们的特点时空进展模式，并将允许识别早期病变形成的风险受试者。
Periventricular white matter hyperintensities (WMH) are a common finding in medical images of the aging brain and are associated with white matter damage resulting from cerebral small vessel disease, white matter inflammation, and a degeneration of the lateral ventricular wall. Despite extensive work, the etiology of periventricular WMHs remains unclear. We pose that there is a strong coupling between age-related ventricular expansion and the degeneration of the ventricular wall which leads to a dysregulated fluid exchange across this brain–fluid barrier. Here, we present a multiphysics model that couples cerebral atrophy-driven ventricular wall loading with periventricular WMH formation and progression. We use patient data to create eight 2D finite element models and demonstrate the predictive capabilities of our damage model. Our simulations show that we accurately capture the spatiotemporal features of periventricular WMH growth. For one, we observe that damage appears first in both the anterior and posterior horns and then spreads into deeper white matter tissue. For the other, we note that it takes up to 12 years before periventricular WMHs first appear and derive an average annualized periventricular WMH damage growth rate of 15.2±12.7 mm 2/year across our models. A sensitivity analysis demonstrated that our model parameters provide sufficient sensitivity to rationalize subject-specific differences with respect to onset time and damage growth. Moreover, we show that the septum pellucidum, a membrane that separates the left and right lateral ventricles, delays the onset of periventricular WMHs at first, but leads to a higher WMH load in the long-term. Statement of Significance: Brain aging is accompanied by many structural and functional changes. In nearly all aged brains, white matter lesions appear in periventricular and diffuse subcortical regions which are associated with progressive functional decline. In our work, we present a multiphysics model that not only predicts the onset location of periventricular white matter lesions but also their subsequent growth as a result of age-related cerebral atrophy and ventricular enlargement. Our model provides a mechanics-based rationale for their characteristic spatiotemporal progression patterns and will allow to identify at-risk subjects for early lesion formation.
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影响因子：
4.1
作者：
Ostwald, Richard;Kuhl, Ellen;Menzel, Andreas
通讯作者：
Menzel, Andreas
影响因子：
--
作者：
B. Reisberg;Steven H. Ferris;M. D. Leon;Thomas H. Crook
通讯作者：
B. Reisberg;Steven H. Ferris;M. D. Leon;Thomas H. Crook
影响因子：
5.3
作者：
Blinkouskaya Y;Caçoilo A;Gollamudi T;Jalalian S;Weickenmeier J
通讯作者：
Weickenmeier J
心室壁的机械负荷作为脑室周围白质变性的空间指标。
DOI：
10.1016/j.jmbbm.2023.105921
发表时间：
2023
影响因子：
3.9
作者：
Visser,ValeryL;Caçoilo,Andreia;Rusinek,Henry;Weickenmeier,Johannes
通讯作者：
Weickenmeier,Johannes
DOI：
10.1016/j.jmbbm.2015.02.024
发表时间：
2015-06
影响因子：
3.9
作者：
Budday, Silvia;Nay, Richard;de Rooij, Rijk;Steinmann, Paul;Wyrobek, Thomas;Ovaert, Timothy C.;Kuhl, Ellen
通讯作者：
Kuhl, Ellen