Standard‐space atlas of the viscoelastic properties of the human brain

Standard anatomical atlases are common in neuroimaging because they facilitate data analyses and comparisons across subjects and studies. The purpose of this study was to develop a standardized human brain atlas based on the physical mechanical properties (i.e., tissue viscoelasticity) of brain tiss...

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Vydáno v:Human brain mapping Ročník 41; číslo 18; s. 5282 - 5300
Hlavní autoři: Hiscox, Lucy V., McGarry, Matthew D. J., Schwarb, Hillary, Van Houten, Elijah E. W., Pohlig, Ryan T., Roberts, Neil, Huesmann, Graham R., Burzynska, Agnieszka Z., Sutton, Bradley P., Hillman, Charles H., Kramer, Arthur F., Cohen, Neal J., Barbey, Aron K., Paulsen, Keith D., Johnson, Curtis L.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Hoboken, USA John Wiley & Sons, Inc 15.12.2020
Témata:
Adolescent
Adult
Anatomy
Atlases as Topic
Brain
Brain architecture
brain atlases
Brain mapping
Cerebral cortex
Cerebral Cortex - anatomy & histology
Cerebral Cortex - diagnostic imaging
Damping ratio
Elasticity
Elasticity Imaging Techniques - methods
Female
Gender aspects
Gray Matter - anatomy & histology
Gray Matter - diagnostic imaging
Humans
Image registration
In vivo methods and tests
Magnetic properties
magnetic resonance elastography
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Mechanical properties
Medical imaging
MRI templates
Neuroimaging
Phase contrast
Research facilities
Research institutions
Sex differences
Shear stiffness
Substantia alba
Substantia grisea
Tissues
Viscoelasticity
Viscosity
White Matter - anatomy & histology
White Matter - diagnostic imaging
Young Adult
Young adults
brain atlases
magnetic resonance imaging
magnetic resonance elastography
MRI templates
mechanical properties
viscoelasticity
ISSN:1065-9471, 1097-0193, 1097-0193
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Popis
Shrnutí:Standard anatomical atlases are common in neuroimaging because they facilitate data analyses and comparisons across subjects and studies. The purpose of this study was to develop a standardized human brain atlas based on the physical mechanical properties (i.e., tissue viscoelasticity) of brain tissue using magnetic resonance elastography (MRE). MRE is a phase contrast‐based MRI method that quantifies tissue viscoelasticity noninvasively and in vivo thus providing a macroscopic representation of the microstructural constituents of soft biological tissue. The development of standardized brain MRE atlases are therefore beneficial for comparing neural tissue integrity across populations. Data from a large number of healthy, young adults from multiple studies collected using common MRE acquisition and analysis protocols were assembled (N = 134; 78F/ 56 M; 18–35 years). Nonlinear image registration methods were applied to normalize viscoelastic property maps (shear stiffness, μ, and damping ratio, ξ) to the MNI152 standard structural template within the spatial coordinates of the ICBM‐152. We find that average MRE brain templates contain emerging and symmetrized anatomical detail. Leveraging the substantial amount of data assembled, we illustrate that subcortical gray matter structures, white matter tracts, and regions of the cerebral cortex exhibit differing mechanical characteristics. Moreover, we report sex differences in viscoelasticity for specific neuroanatomical structures, which has implications for understanding patterns of individual differences in health and disease. These atlases provide reference values for clinical investigations as well as novel biophysical signatures of neuroanatomy. The templates are made openly available (github.com/mechneurolab/mre134) to foster collaboration across research institutions and to support robust cross‐center comparisons. Tissue mechanical properties provide a macroscopic representation of the microstructural constituents of soft biological tissue. In the work, we have produced the first standard‐space atlas description of the stiffness and damping ratio of the healthy human brain. The detailed nature of the new atlas has revealed that neuroanatomical structures possess distinct mechanical characteristics and that sex differences exist in a range of brain structures. Our results provide a novel biophysical signature of the brain and have implications for understanding individual differences in both health and disease.
Bibliografie:Funding information
Medical Research Council, Grant/Award Number: MR/K026992/1; NIH/NIMH, Grant/Award Number: R01‐MH062500; NIH/NINDS, Grant/Award Number: U01‐NS112120; NIH/NIBIB, Grant/Award Numbers: R01‐EB001981, R01‐EB027577; NIH/NIA, Grant/Award Number: R01‐AG058853
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Funding information Medical Research Council, Grant/Award Number: MR/K026992/1; NIH/NIMH, Grant/Award Number: R01‐MH062500; NIH/NINDS, Grant/Award Number: U01‐NS112120; NIH/NIBIB, Grant/Award Numbers: R01‐EB001981, R01‐EB027577; NIH/NIA, Grant/Award Number: R01‐AG058853
ISSN:1065-9471
1097-0193
1097-0193
DOI:10.1002/hbm.25192