Evidence map›Paper›PMID 32931076›Full record

ArticleHuman brain mapping2020

Standard-space atlas of the viscoelastic properties of the human brain.

Lucy V Hiscox, Matthew D J McGarry, Hillary Schwarb, Elijah E W Van Houten, Ryan T Pohlig, Neil Roberts, Graham R Huesmann, Agnieszka Z Burzynska, Bradley P Sutton, Charles H Hillman and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Measuring Brain Stiffness in Normal Adults According to Age and Sex Using Virtual MR Elastography: A Preliminary Study.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Multimodal characterization of intracranial biomechanics in a 3D biofidelic head surrogate.Journal of the mechanical behavior of biomedical materials · 2026
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Interface focus · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Lucy V HiscoxDepartment of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.ORCID 0000-0001-6296-7442
Matthew D J McGarryThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA.
Hillary SchwarbBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-9454-2614
Elijah E W Van HoutenDépartement de génie mécanique, Université de Sherbrooke, Sherbrooke, Québec, Canada.ORCID 0000-0001-6565-8469
Ryan T PohligCollege of Health Sciences, University of Delaware, Newark, Delaware, USA.
Neil RobertsSchool of Clinical Sciences, University of Edinburgh, Edinburgh, UK.
Graham R HuesmannBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-9120-9867
Agnieszka Z BurzynskaDepartment of Human Development and Family Studies and Molecular, Cellular and Integrative Neurosciences, Colorado State University, Fort Collins, Colorado, USA.
Bradley P SuttonBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-8443-0408
Charles H HillmanDepartment of Psychology, Northeastern University, Boston, Massachusetts, USA.ORCID 0000-0002-3722-5612
Arthur F KramerBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0001-5870-2724
Neal J CohenBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Aron K BarbeyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-6092-0912
Keith D PaulsenThayer School of Engineering, Dartmouth College, Hanover, New Hampshire, USA.ORCID 0000-0002-6692-3196
Curtis L JohnsonDepartment of Biomedical Engineering, University of Delaware, Newark, Delaware, USA.ORCID 0000-0002-7760-131X

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
The Hippocampal System and Relational(Declarative) Memory ProcessesR01MH062500 · NIMH · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI COHEN, NEAL J. · 2002 to 2015
$5.8M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
MRI Measurement of the Mechanical Vulnerability of the BrainU01NS112120 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2019 to 2023
$3.7M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
High-Resolution, Anisotropic MR Elastography of the BrainR01EB027577 · NIBIB · UNIVERSITY OF DELAWARE · PI BAYLY, PHILIP V, JOHNSON, CURTIS L · 2019 to 2022
$2.7M
Mechanical integrity of memory systems in mild cognitive impairmentR01AG058853 · NIA · UNIVERSITY OF DELAWARE · PI JOHNSON, CURTIS L · 2018 to 2022
$2.3M
Medical Research Council G0700704Medical Research Council MR/K026992/1NCI NIH HHS P30 CA023108NIA NIH HHS R01 AG058853NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R01 EB027577NIBIB NIH HHS R37 EB001981NIMH NIH HHS R01 MH062500NINDS NIH HHS U01 NS112120
6 · The paper itself

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.

Indexed as

Atlases as TopicCerebral CortexElasticity Imaging TechniquesGray MatterMagnetic Resonance ImagingWhite MatterAdolescentAdultElasticityFemaleHumansMaleViscosityYoung Adultbrain atlasesmagnetic resonance elastographymagnetic resonance imagingmechanical propertiesMRI templatesviscoelasticity

Identifiers

PMID32931076
PMCPMC7670638

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.