The impact of aging and gender on brain viscoelasticity
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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Aging-associated neuroanatomical changes revealed sexual dimorphism in that males were likely to undergo greater reduction in brain elasticity and stiffness than their female counterparts.
“Aging-associated neuroanatomical changes also revealed sexual dimorphism in that males were likely to undergo greater reduction in brain elasticity and stiffness than their female counterparts (Arani et al, 2015;Sack et al, 2009).”
From Microglia Priming with Aging and Stress (2017) · cites this paper as Sack et al, 2009
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Self-citation
- 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
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-07
- Volume
- 46
- Issue
- 3
- Pages
- 652-657
- ISSN
- 1053-8119 (ISSN-L)
- 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
- 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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