Brain aging mechanisms with mechanical manifestations.
Brain aging mechanisms with mechanical manifestations.
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DOI：
10.1016/j.mad.2021.111575
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发表时间：
2021-12
影响因子：
5.3
通讯作者：
Weickenmeier J
中科院分区：
文献类型：
--
作者：
Blinkouskaya Y;Caçoilo A;Gollamudi T;Jalalian S;Weickenmeier J
大脑老化是一个复杂的过程，影响从亚细胞到器官水平的一切，在生命早期开始，并随着年龄的增长而加速。在形态学上，脑老化的主要特征是脑体积减少、皮质变薄、白色物质降解、脑回丧失和脑室扩大。在病理生理学上，脑老化与神经元细胞萎缩、树突状变性、脱髓鞘、小血管疾病、代谢减慢、小胶质细胞活化和白色物质病变的形成相关。近年来，力学界对脑的（生物）力学行为建模的兴趣越来越大，并使用本构建模来预测在健康和疾病状态下解剖学精确的有限元脑模型的形状变化。在这方面，我们追求两个目标。首先，我们回顾了现有的基于影像学的白色和灰质萎缩率和器官水平老化模式的数据。需要这些数据来校准和验证本构脑模型。其次，我们回顾了最关键的细胞和组织水平的老化机制，驱动白色和灰质的变化。我们关注的是最终表现为器官水平形状变化的衰老机制，基于这样的想法，即成像和力学建模的整合可能有助于确定正常衰老结束和病理性神经变性开始的临界点。
Brain aging is a complex process that affects everything from the subcellular to the organ level, begins early in life, and accelerates with age. Morphologically, brain aging is primarily characterized by brain volume loss, cortical thinning, white matter degradation, loss of gyrification, and ventricular enlargement. Pathophysiologically, brain aging is associated with neuron cell shrinking, dendritic degeneration, demyelination, small vessel disease, metabolic slowing, microglial activation, and the formation of white matter lesions. In recent years, the mechanics community has demonstrated increasing interest in modeling the brain’s (bio)mechanical behavior and uses constitutive modeling to predict shape changes of anatomically accurate finite element brain models in health and disease. Here, we pursue two objectives. First, we review existing imaging-based data on white and gray matter atrophy rates and organ-level aging patterns. This data is required to calibrate and validate constitutive brain models. Second, we review the most critical cell- and tissue-level aging mechanisms that drive white and gray matter changes. We focuse on aging mechanisms that ultimately manifest as organ-level shape changes based on the idea that the integration of imaging and mechanical modeling may help identify the tipping point when normal aging ends and pathological neurodegeneration begins.
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DOI：
10.3233/jad-2010-091069
发表时间：
2010
期刊：
Journal of Alzheimer's disease : JAD
影响因子：
--
作者：
Alegret M;Vinyes-Junqué G;Boada M;Martínez-Lage P;Cuberas G;Espinosa A;Roca I;Hernández I;Valero S;Rosende-Roca M;Mauleón A;Becker And JT;Tárraga L
通讯作者：
Tárraga L
影响因子：
2.3
作者：
Blinkouskaya, Yana;Weickenmeier, Johannes
通讯作者：
Weickenmeier, Johannes
影响因子：
2.1
作者：
Apostolova LG;Green AE;Babakchanian S;Hwang KS;Chou YY;Toga AW;Thompson PM
通讯作者：
Thompson PM
影响因子：
1.2
作者：
Acabchuk, Rebecca L.;Sun, Ye;Conover, Joanne C.
通讯作者：
Conover, Joanne C.
影响因子：
4.8
作者：
Ambarki, Khalid;Israelsson, Hanna;Malm, Jan
通讯作者：
Malm, Jan