4.5 Article

A Detailed Viscoelastic Characterization of the P17 and Adult Rat Brain

Journal

JOURNAL OF NEUROTRAUMA
Volume 28, Issue 11, Pages 2235-2244

Publisher

MARY ANN LIEBERT INC
DOI: 10.1089/neu.2010.1604

Keywords

age-dependence; constitutive modeling; heterogeneous mechanical properties; indentation; neurosurgery; rat brain; traumatic brain injury; viscoelasticity

Funding

  1. Natural Sciences and Engineering Research Council of Canada (NSERC)
  2. National Highway Traffic Safety Administration

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Brain is a morphologically and mechanically heterogeneous organ. Although rat brain is commonly used as an experimental neurophysiological model for various in vivo biomechanical studies, little is known about its regional viscoelastic properties. To address this issue, we have generated viscoelastic mechanical property data for specific anatomical regions of the P17 and adult rat brain. These ages are commonly used in rat experimental models. We measured mechanical properties of both white and gray matter regions in coronal slices with a custom-designed microindentation device performing stress-relaxation indentations to 10% effective strain. Shear moduli calculated for short (100 ms), intermediate (1 sec), and long (20 sec) time points, ranged from similar to 1 kPa for short term moduli to similar to 0.4 kPa for long term moduli. Both age and anatomic region were significant factors affecting the time-dependent shear modulus. White matter regions and regions of the cerebellum were much more compliant than those of the hippocampus, cortex, and thalamus. Linear viscoelastic models (Prony series, continuous phase lag, and a power law model) were fit to the time-dependent shear modulus data. All models fit the data equally with no significant differences between them (F-test; p > 0.05). The F-test was also used to statistically determine that a Prony series with three time-dependent parameters accurately fit the data with no added benefit from additional terms. The age-and region-dependent rat brain viscoelastic properties presented here will help inform future biomechanical models of the rat brain with specific and accurate regional mechanical property data.

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