ReviewActa biomaterialia2025
Mechanical characterization of brain tissue: experimental techniques, human testing considerations, and perspectives.
Review in Acta biomaterialia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Path-dependent viscoelastic-hyperelastic response of brain tissue under multistage shear loading.Medical & biological engineering & computing · 2026Article
- Closing the Loop: High-Precision 3D Photofabrication in Living Tissues.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Biophysical modeling of anatomically realistic prenatal cortical folding development.Nature communications · 2026Article
- Biophysical modeling of anatomically realistic prenatal cortical folding development.Research square · 2026Article
- Mechanobiology of hippocampal neurogenesis: directing neural stem cell fate through physical cues.Frontiers in molecular neuroscience · 2026Review
- Mechanics of the Spatiotemporal Evolution of Sulcal Pits in the Folding Brain.Human brain mapping · 2025Article
- The next frontier in healthcare: perspectives and discussion on building trust and societal acceptance of digital humans in the essential framework of impact biomechanics.Frontiers in bioengineering and biotechnology · 2025Review
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Understanding the mechanical behavior of brain tissue is crucial for advancing both fundamental neuroscience and clinical applications. Yet, accurately measuring these properties remains challenging due to the brain's unique mechanical attributes and complex anatomical structures. This review provides a comprehensive overview of commonly used techniques for characterizing brain tissue mechanical properties, covering both invasive methods-such as atomic force microscopy, indentation, axial mechanical testing, and oscillatory shear testing-and noninvasive approaches like magnetic resonance elastography and ultrasound elastography. Each technique is evaluated in terms of working principles, applicability, representative studies, and experimental limitations. We further summarize existing publications that have used these techniques to measure human brain tissue mechanical properties. With a primary focus on invasive studies, we systematically compare their sample preparation, testing conditions, reported mechanical parameters, and modeling strategies. Key sensitivity factors influencing testing outcomes (e.g., sample size, anatomical location, strain rate, temperature, conditioning, and post-mortem interval) are also discussed. Additionally, selected noninvasive studies are reviewed to assess their potential for in vivo characterization. A comparative discussion between invasive and noninvasive methods, as well as in vivo versus ex vivo testing, is included. This review aims to offer practical guidance for researchers and clinicians in selecting appropriate mechanical testing approaches and contributes a curated dataset to support constitutive modeling of human brain tissue. STATEMENT OF SIGNIFICANCE: Accurate characterization of brain tissue mechanics is essential for both neurological research and the development of predictive biomechanical models. This review synthesizes current experimental approaches used in brain mechanical testing-spanning both invasive and noninvasive methods-with a focus on their principles, applications, and limitations. We further systematically compile and analyze a comprehensive set of invasive studies-supplemented by representative noninvasive reports-on human brain tissue mechanical properties. The collected dataset offers valuable support for constitutive modeling. Additionally, we discuss key factors affecting testing outcomes, offering practical insights to guide the design and interpretation of future brain mechanical research.
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Registered trials
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 Socratic graph.