Cited by 423Ultrasound Imaging and ElastographyAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

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The impact of aging and gender on brain viscoelasticity

Sack, Ingolf, Beierbach, Bernd, Wuerfel, Jens, Klatt, Dieter, Hamhaber, Uwe, Papazoglou, Sebastian, Martus, Peter, Braun, Jürgen·2009·NeuroImage

DOI 10.1016/j.neuroimage.2009.02.040

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Abstract

Viscoelasticity is a sensitive measure of the microstructural constitution of soft biological tissue and is increasingly used as a diagnostic marker, e.g. in staging liver fibrosis or characterizing breast tumors. In this study, multifrequency magnetic resonance elastography was used to investigate the in vivo viscoelasticity of healthy human brain in 55 volunteers (23 females) ranging in age from 18 to 88 years. The application of four vibration frequencies in an acoustic range from 25 to 62.5 Hz revealed for the first time how physiological aging changes the global viscosity and elasticity of the brain. Using the rheological springpot model, viscosity and elasticity are combined in a parameter mu that describes the solid-fluid behavior of the tissue and a parameter alpha related to the tissue's microstructure. It is shown that the healthy adult brain undergoes steady parenchymal 'liquefaction' characterized by a continuous decline in mu of 0.8% per year (P<0.001), whereas alpha remains unchanged. Furthermore, significant sex differences were found with female brains being on average 9% more solid-like than their male counterparts rendering women more than a decade 'younger' than men with respect to brain mechanics (P=0.016). These results set the background for using cerebral multifrequency elastography in diagnosing subtle neurodegenerative processes not detectable by other diagnostic methods.

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Authors: Sack, I., Beierbach, B., Wuerfel, J., Klatt, D., Hamhaber, U., Papazoglou, S., Martus, P., & Braun, J.
Affiliations: Charité – Universitätsmedizin Berlin (DE)
University of Lübeck (DE)
Corresponding author: Sack, Ingolf
ORCID: Sack, Ingolf
Wuerfel, Jens
Papazoglou, Sebastian
Martus, Peter
Braun, Jürgen
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2009-07
Volume: 46
Issue: 3
Pages: 652-657
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2009.02.040
OpenAlex: W2035928670
Cited by: 423
References: 31
Citations by year: 2026: 19 · 2025: 22 · 2024: 26 · 2023: 26 · 2022: 29 · 2021: 30 · 2020: 27 · 2019: 26 · 2018: 25 · 2017: 30 · 2016: 23 · 2015: 20 · 2014: 17 · 2013: 25 · 2012: 28
FWCI: 19.61
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: brain viscoelasticity, brain aging, sex differences, brain microstructure, brain tissue stiffness, neurodegeneration, healthy human brain
MeSH terms: Adolescent, Adult, Aged, Aged, 80 and over, Aging, Brain, Computer Simulation, Female, Hardness, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Sex Factors, Viscosity, Elasticity Imaging Techniques, Elastic Modulus, Young Adult

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The impact of aging and gender on brain viscoelasticity

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