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Brain aging mechanisms with mechanical manifestations

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 ventr...

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Autores principales: Blinkouskaya, Yana, Caçoilo, Andreia, Gollamudi, Trisha, Jalalian, Shima, Weickenmeier, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627478/
https://www.ncbi.nlm.nih.gov/pubmed/34600936
http://dx.doi.org/10.1016/j.mad.2021.111575
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author Blinkouskaya, Yana
Caçoilo, Andreia
Gollamudi, Trisha
Jalalian, Shima
Weickenmeier, Johannes
author_facet Blinkouskaya, Yana
Caçoilo, Andreia
Gollamudi, Trisha
Jalalian, Shima
Weickenmeier, Johannes
author_sort Blinkouskaya, Yana
collection PubMed
description 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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spelling pubmed-86274782021-12-01 Brain aging mechanisms with mechanical manifestations Blinkouskaya, Yana Caçoilo, Andreia Gollamudi, Trisha Jalalian, Shima Weickenmeier, Johannes Mech Ageing Dev Article 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. 2021-10-01 2021-12 /pmc/articles/PMC8627478/ /pubmed/34600936 http://dx.doi.org/10.1016/j.mad.2021.111575 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Blinkouskaya, Yana
Caçoilo, Andreia
Gollamudi, Trisha
Jalalian, Shima
Weickenmeier, Johannes
Brain aging mechanisms with mechanical manifestations
title Brain aging mechanisms with mechanical manifestations
title_full Brain aging mechanisms with mechanical manifestations
title_fullStr Brain aging mechanisms with mechanical manifestations
title_full_unstemmed Brain aging mechanisms with mechanical manifestations
title_short Brain aging mechanisms with mechanical manifestations
title_sort brain aging mechanisms with mechanical manifestations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627478/
https://www.ncbi.nlm.nih.gov/pubmed/34600936
http://dx.doi.org/10.1016/j.mad.2021.111575
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