Viscoelasticity of subcortical gray matter structures

Curtis L. Johnson, Hillary Schwarb, Matthew D.J. McGarry, Aaron T. Anderson, Graham R. Huesmann, Bradley P. Sutton, Neal J. Cohen

Research output: Contribution to journalArticle

Abstract

Viscoelastic mechanical properties of the brain assessed with magnetic resonance elastography (MRE) are sensitive measures of microstructural tissue health in neurodegenerative conditions. Recent efforts have targeted measurements localized to specific neuroanatomical regions differentially affected in disease. In this work, we present a method for measuring the viscoelasticity in subcortical gray matter (SGM) structures, including the amygdala, hippocampus, caudate, putamen, pallidum, and thalamus. The method is based on incorporating high spatial resolution MRE imaging (1.6 mm isotropic voxels) with a mechanical inversion scheme designed to improve local measures in pre-defined regions (soft prior regularization [SPR]). We find that in 21 healthy, young volunteers SGM structures differ from each other in viscoelasticity, quantified as the shear stiffness and damping ratio, but also differ from the global viscoelasticity of the cerebrum. Through repeated examinations on a single volunteer, we estimate the uncertainty to be between 3 and 7% for each SGM measure. Furthermore, we demonstrate that the use of specific methodological considerations—higher spatial resolution and SPR—both decrease uncertainty and increase sensitivity of the SGM measures. The proposed method allows for reliable MRE measures of SGM viscoelasticity for future studies of neurodegenerative conditions. Hum Brain Mapp 37:4221–4233, 2016.

Original languageEnglish (US)
Pages (from-to)4221-4233
Number of pages13
JournalHuman Brain Mapping
Volume37
Issue number12
DOIs
StatePublished - Dec 1 2016

Fingerprint

Elasticity Imaging Techniques
Uncertainty
Globus Pallidus
Putamen
Brain
Cerebrum
Amygdala
Thalamus
Volunteers
Hippocampus
Healthy Volunteers
Magnetic Resonance Imaging
Gray Matter
Health

Keywords

  • brain
  • elastography
  • gray matter
  • hippocampus
  • thalamus
  • viscoelasticity

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

Cite this

Johnson, C. L., Schwarb, H., D.J. McGarry, M., Anderson, A. T., Huesmann, G. R., Sutton, B. P., & Cohen, N. J. (2016). Viscoelasticity of subcortical gray matter structures. Human Brain Mapping, 37(12), 4221-4233. https://doi.org/10.1002/hbm.23314

Viscoelasticity of subcortical gray matter structures. / Johnson, Curtis L.; Schwarb, Hillary; D.J. McGarry, Matthew; Anderson, Aaron T.; Huesmann, Graham R.; Sutton, Bradley P.; Cohen, Neal J.

In: Human Brain Mapping, Vol. 37, No. 12, 01.12.2016, p. 4221-4233.

Research output: Contribution to journalArticle

Johnson, CL, Schwarb, H, D.J. McGarry, M, Anderson, AT, Huesmann, GR, Sutton, BP & Cohen, NJ 2016, 'Viscoelasticity of subcortical gray matter structures', Human Brain Mapping, vol. 37, no. 12, pp. 4221-4233. https://doi.org/10.1002/hbm.23314
Johnson CL, Schwarb H, D.J. McGarry M, Anderson AT, Huesmann GR, Sutton BP et al. Viscoelasticity of subcortical gray matter structures. Human Brain Mapping. 2016 Dec 1;37(12):4221-4233. https://doi.org/10.1002/hbm.23314
Johnson, Curtis L. ; Schwarb, Hillary ; D.J. McGarry, Matthew ; Anderson, Aaron T. ; Huesmann, Graham R. ; Sutton, Bradley P. ; Cohen, Neal J. / Viscoelasticity of subcortical gray matter structures. In: Human Brain Mapping. 2016 ; Vol. 37, No. 12. pp. 4221-4233.
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