Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning.

ABSTRACT: The regional mechanical properties of brain tissue are not only key in the context of brain injury and its vulnerability towards mechanical loads, but also affect the behavior and functionality of brain cells. Due to the extremely soft nature of brain tissue, its mechanical characterization is challenging. The response to loading depends on length and time scales and is characterized by nonlinearity, compression-tension asymmetry, conditioning, and stress relaxation. In addition, the regional heterogeneity-both in mechanics and microstructure-complicates the comprehensive understanding of local tissue properties and its relation to the underlying microstructure. Here, we combine large-strain biomechanical tests with enzyme-linked immunosorbent assays (ELISA) and develop an extended type of

SUBMITTER: Linka K 

PROVIDER: S-EPMC8415910 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature