Brain aging mechanisms with mechanical manifestations

被引:132
作者
Blinkouskaya, Yana [1 ]
Cacoilo, Andreia [1 ]
Gollamudi, Trisha [2 ]
Jalalian, Shima [1 ]
Weickenmeier, Johannes [1 ]
机构
[1] Stevens Inst Technol, Dept Mech Engn, Hoboken, NJ 07030 USA
[2] Stevens Inst Technol, Dept Biomed Engn, Hoboken, NJ 07030 USA
基金
美国国家科学基金会; 英国科研创新办公室; 美国国家卫生研究院;
关键词
Brain aging mechanisms; Cerebral atrophy; Morphological changes; Gray and white matter changes; Vascular changes; SMALL VESSEL DISEASE; WHITE-MATTER HYPERINTENSITIES; MILD COGNITIVE IMPAIRMENT; INTRACRANIAL ATHEROSCLEROTIC DISEASE; AGE-RELATED DIFFERENCES; CEREBRAL-CORTEX; ALZHEIMERS-DISEASE; CORTICAL THICKNESS; GRAY-MATTER; ENTORHINAL CORTEX;
D O I
10.1016/j.mad.2021.111575
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
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.
引用
收藏
页数:16
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