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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Veröffentlicht in:	Human brain mapping Jg. 41; H. 18; S. 5282 - 5300
Hauptverfasser:	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.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 15.12.2020
Schlagworte:	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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Abstract	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.
AbstractList	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 http://github.com/mechneurolab/mre134) to foster collaboration across research institutions and to support robust cross-center comparisons. 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.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. 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. 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. 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. 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. 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
Audience	Academic
Author	Sutton, Bradley P. McGarry, Matthew D. J. Barbey, Aron K. Schwarb, Hillary Burzynska, Agnieszka Z. Cohen, Neal J. Paulsen, Keith D. Hillman, Charles H. Hiscox, Lucy V. Huesmann, Graham R. Johnson, Curtis L. Roberts, Neil Van Houten, Elijah E. W. Kramer, Arthur F. Pohlig, Ryan T.
AuthorAffiliation	10 Department of Bioengineering University of Illinois at Urbana‐Champaign Urbana Illinois USA 9 Department of Human Development and Family Studies and Molecular, Cellular and Integrative Neurosciences Colorado State University Fort Collins Colorado USA 7 School of Clinical Sciences University of Edinburgh Edinburgh UK 1 Department of Biomedical Engineering University of Delaware Newark Delaware USA 3 Beckman Institute for Advanced Science and Technology University of Illinois at Urbana‐Champaign Urbana Illinois USA 6 College of Health Sciences University of Delaware Newark Delaware USA 12 Department of Physical Therapy, Movement, & Rehabilitation Sciences Northeastern University Boston Massachusetts USA 5 Département de génie mécanique Université de Sherbrooke Sherbrooke Québec Canada 8 Carle Neuroscience Institute Carle Foundation Hospital Urbana Illinois USA 11 Department of Psychology Northeastern University Boston Massachusetts USA 4 Interdisciplinary Health Sciences Institute University of
AuthorAffiliation_xml	– name: 4 Interdisciplinary Health Sciences Institute University of Illinois at Urbana‐Champaign Urbana Illinois USA – name: 9 Department of Human Development and Family Studies and Molecular, Cellular and Integrative Neurosciences Colorado State University Fort Collins Colorado USA – name: 11 Department of Psychology Northeastern University Boston Massachusetts USA – name: 6 College of Health Sciences University of Delaware Newark Delaware USA – name: 12 Department of Physical Therapy, Movement, & Rehabilitation Sciences Northeastern University Boston Massachusetts USA – name: 1 Department of Biomedical Engineering University of Delaware Newark Delaware USA – name: 7 School of Clinical Sciences University of Edinburgh Edinburgh UK – name: 2 Thayer School of Engineering Dartmouth College Hanover New Hampshire USA – name: 5 Département de génie mécanique Université de Sherbrooke Sherbrooke Québec Canada – name: 10 Department of Bioengineering University of Illinois at Urbana‐Champaign Urbana Illinois USA – name: 3 Beckman Institute for Advanced Science and Technology University of Illinois at Urbana‐Champaign Urbana Illinois USA – name: 8 Carle Neuroscience Institute Carle Foundation Hospital Urbana Illinois USA
Author_xml	– sequence: 1 givenname: Lucy V. orcidid: 0000-0001-6296-7442 surname: Hiscox fullname: Hiscox, Lucy V. email: lvhiscox@udel.edu organization: University of Delaware – sequence: 2 givenname: Matthew D. J. surname: McGarry fullname: McGarry, Matthew D. J. organization: Dartmouth College – sequence: 3 givenname: Hillary orcidid: 0000-0002-9454-2614 surname: Schwarb fullname: Schwarb, Hillary organization: University of Illinois at Urbana‐Champaign – sequence: 4 givenname: Elijah E. W. orcidid: 0000-0001-6565-8469 surname: Van Houten fullname: Van Houten, Elijah E. W. organization: Université de Sherbrooke – sequence: 5 givenname: Ryan T. surname: Pohlig fullname: Pohlig, Ryan T. organization: University of Delaware – sequence: 6 givenname: Neil surname: Roberts fullname: Roberts, Neil organization: University of Edinburgh – sequence: 7 givenname: Graham R. orcidid: 0000-0002-9120-9867 surname: Huesmann fullname: Huesmann, Graham R. organization: Carle Foundation Hospital – sequence: 8 givenname: Agnieszka Z. surname: Burzynska fullname: Burzynska, Agnieszka Z. organization: Colorado State University – sequence: 9 givenname: Bradley P. orcidid: 0000-0002-8443-0408 surname: Sutton fullname: Sutton, Bradley P. organization: University of Illinois at Urbana‐Champaign – sequence: 10 givenname: Charles H. orcidid: 0000-0002-3722-5612 surname: Hillman fullname: Hillman, Charles H. organization: Northeastern University – sequence: 11 givenname: Arthur F. orcidid: 0000-0001-5870-2724 surname: Kramer fullname: Kramer, Arthur F. organization: Northeastern University – sequence: 12 givenname: Neal J. surname: Cohen fullname: Cohen, Neal J. organization: University of Illinois at Urbana‐Champaign – sequence: 13 givenname: Aron K. orcidid: 0000-0002-6092-0912 surname: Barbey fullname: Barbey, Aron K. organization: University of Illinois at Urbana‐Champaign – sequence: 14 givenname: Keith D. orcidid: 0000-0002-6692-3196 surname: Paulsen fullname: Paulsen, Keith D. organization: Dartmouth College – sequence: 15 givenname: Curtis L. orcidid: 0000-0002-7760-131X surname: Johnson fullname: Johnson, Curtis L. email: clj@udel.edu organization: University of Delaware
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/32931076$$D View this record in MEDLINE/PubMed
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ContentType	Journal Article
Copyright	2020 The Authors. published by Wiley Periodicals LLC. 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. COPYRIGHT 2020 John Wiley & Sons, Inc. 2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml	– notice: 2020 The Authors. published by Wiley Periodicals LLC. – notice: 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. – notice: COPYRIGHT 2020 John Wiley & Sons, Inc. – notice: 2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Keywords	brain atlases magnetic resonance imaging magnetic resonance elastography MRI templates mechanical properties viscoelasticity
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License	Attribution 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Snippet	Standard anatomical atlases are common in neuroimaging because they facilitate data analyses and comparisons across subjects and studies. The purpose of this...
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SubjectTerms	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
Title	Standard‐space atlas of the viscoelastic properties of the human brain
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