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Published in: Computational Mechanics 5/2019

15-05-2019 | Original Paper

Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models

Authors: L. Noël, E. Kuhl

Published in: Computational Mechanics | Issue 5/2019

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Abstract

Chronic traumatic encephalopathy is a progressive neurodegenerative disorder that results from repetitive impacts to the head. Its distinguishing feature is an accumulation of abnormal tau proteins in characteristic regions within the brain. Histopathological studies reveal that tau consistently localizes at the depth of cerebral sulci; yet, the mechanistic origin of this pattern remains unclear. Here we show that a continuum damage model, enhanced with nonlocal gradients, can explain the initial distribution of abnormal tau proteins. We hypothesize that tau aggregation is associated with neuronal death, which we represent as tissue softening and stiffness degradation. Our simulations correctly identify the initial locations of tau deposition, at the depth of cerebral sulci, from where damage spreads within the cortical layer and then across the entire brain. Our computational model has the potential to provide a mechanistic explanation of the stereotypic histopathology of chronic traumatic encephalopathy and predict the cumulative effects of repeated mild traumatic brain injuries.

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Metadata
Title
Modeling neurodegeneration in chronic traumatic encephalopathy using gradient damage models
Authors
L. Noël
E. Kuhl
Publication date
15-05-2019
Publisher
Springer Berlin Heidelberg
Published in
Computational Mechanics / Issue 5/2019
Print ISSN: 0178-7675
Electronic ISSN: 1432-0924
DOI
https://doi.org/10.1007/s00466-019-01717-z

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