TY - JOUR
T1 - Anisotropic mechanical properties in the healthy human brain estimated with multi-excitation transversely isotropic MR elastography
AU - Smith, Daniel R.
AU - Caban-Rivera, Diego A.
AU - McGarry, Matthew D.J.
AU - Williams, L. Tyler
AU - McIlvain, Grace
AU - Okamoto, Ruth J.
AU - Van Houten, Elijah E.W.
AU - Bayly, Philip V.
AU - Paulsen, Keith D.
AU - Johnson, Curtis L.
N1 - Funding Information:
Funding for this work was provided National Institutes of Health grants R01-EB027577 and R01-AG058853 and National Science Foundation grant CMMI-1727412.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/1
Y1 - 2022/1
N2 - Magnetic resonance elastography (MRE) is an MRI technique for imaging the mechanical properties of brain in vivo, and has shown differences in properties between neuroanatomical regions and sensitivity to aging, neurological disorders, and normal brain function. Past MRE studies investigating these properties have typically assumed the brain is mechanically isotropic, though the aligned fibers of white matter suggest an anisotropic material model should be considered for more accurate parameter estimation. Here we used a transversely isotropic, nonlinear inversion algorithm (TI-NLI) and multi-excitation MRE to estimate the anisotropic material parameters of individual white matter tracts in healthy young adults. We found significant differences between individual tracts for three recovered anisotropic parameters: substrate shear stiffness, μ (range: 2.57 – 3.02 kPa), shear anisotropy, φ (range: -0.026 – 0.164), and tensile anisotropy, ζ (range: 0.559 – 1.049). Additionally, we demonstrated the repeatability of these parameter estimates in terms of lower variability of repeated measures in a single subject relative to variability in our sample population. Further, we observed significant differences in anisotropic mechanical properties between segments of the corpus callosum (genu, body, and splenium), which is expected based on differences in axonal microstructure. This study shows the ability of MRE with TI-NLI to estimate anisotropic mechanical properties of white matter and presents reference properties for tracts throughout the healthy brain.
AB - Magnetic resonance elastography (MRE) is an MRI technique for imaging the mechanical properties of brain in vivo, and has shown differences in properties between neuroanatomical regions and sensitivity to aging, neurological disorders, and normal brain function. Past MRE studies investigating these properties have typically assumed the brain is mechanically isotropic, though the aligned fibers of white matter suggest an anisotropic material model should be considered for more accurate parameter estimation. Here we used a transversely isotropic, nonlinear inversion algorithm (TI-NLI) and multi-excitation MRE to estimate the anisotropic material parameters of individual white matter tracts in healthy young adults. We found significant differences between individual tracts for three recovered anisotropic parameters: substrate shear stiffness, μ (range: 2.57 – 3.02 kPa), shear anisotropy, φ (range: -0.026 – 0.164), and tensile anisotropy, ζ (range: 0.559 – 1.049). Additionally, we demonstrated the repeatability of these parameter estimates in terms of lower variability of repeated measures in a single subject relative to variability in our sample population. Further, we observed significant differences in anisotropic mechanical properties between segments of the corpus callosum (genu, body, and splenium), which is expected based on differences in axonal microstructure. This study shows the ability of MRE with TI-NLI to estimate anisotropic mechanical properties of white matter and presents reference properties for tracts throughout the healthy brain.
KW - Anisotropy
KW - Brain
KW - Magnetic Resonance Elastography
KW - Stiffness
KW - White Matter
UR - http://www.scopus.com/inward/record.url?scp=85133713014&partnerID=8YFLogxK
U2 - 10.1016/j.brain.2022.100051
DO - 10.1016/j.brain.2022.100051
M3 - Article
C2 - 36340644
AN - SCOPUS:85133713014
SN - 2666-5220
VL - 3
JO - Brain Multiphysics
JF - Brain Multiphysics
M1 - 100051
ER -