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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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http://dx.doi.org/10.1016/j.actbio.2025.07.046 | DOI Listing |
Eur J Nucl Med Mol Imaging
September 2025
Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Purpose: Cardiac noradrenergic denervation visualized by meta-[I]iodobenzylguanidine ([I]MIBG) imaging supports the diagnosis of Parkinson's disease (PD). Recently, meta-[F] fluorobenzylguanidine ([F]MFBG) PET demonstrated favorable imaging characteristics compared with [I]MIBG scintigraphy for neuroendocrine tumors. We assessed [F]MFBG dosimetry and myocardial pharmacokinetics in healthy controls and PD patients.
View Article and Find Full Text PDFNaunyn Schmiedebergs Arch Pharmacol
September 2025
Pharmacology and Toxicology Department, Faculty of Pharmacy and Biotechnology, German University in Cairo, Gamal Abdel Nasser, 11835, New Cairo, Egypt.
Licochalcone A (LCA), a natural flavonoid with potent anti-inflammatory properties, has shown promise as a neuroprotective agent. However, its ability to cross the blood-brain barrier (BBB) and exert central effects remains underexplored. In this study, we demonstrate for the first time that LCA enhances cognitive function in a lipopolysaccharide (LPS)-induced neuroinflammatory mouse model and effectively penetrates the BBB.
View Article and Find Full Text PDFRadiology
September 2025
Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Md.
Background Elevated brain iron is a potential marker for neurodegeneration, but its role in predicting onset of mild cognitive impairment (MCI) and prospective cognitive trajectories remains unclear. Purpose To investigate how brain iron and amyloid-β (Aβ) levels, measured using quantitative susceptibility mapping (QSM) MRI and PET, help predict MCI onset and cognitive decline. Materials and Methods In this prospective study conducted between January 2015 and November 2022, cognitively unimpaired older adults underwent baseline QSM MRI.
View Article and Find Full Text PDFJ Korean Med Sci
September 2025
Department of Neurosurgery, Korea University Anam Hospital, College of Medicine, Korea University, Seoul, Korea.
Background: Alzheimer's disease (AD) and vascular dementia (VaD) have distinct pathognomonic features, but they frequently co-occur as mixed dementia (MD) in elderly adults. This study aimed to develop a novel MD mouse model using bilateral carotid artery stenosis (BCAS) in 5 times familial Alzheimer's disease (5xFAD) transgenic mice and characterize its behavioral and histological features.
Methods: Thirteen C57BL/6 and sixteen 5xFAD transgenic mice were prepared.
Food Funct
September 2025
Department of Chemical and Pharmaceutical Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, Fujian Province 361021, PR China.
Depression is a widespread mental health condition associated with impaired neuroplasticity and disrupted brain-derived neurotrophic factor (BDNF)/TrkB signaling. Black mulberry, rich in anthocyanins, shows promise as a natural intervention for its anti-oxidative and anti-inflammatory profiles. This study evaluated the antidepressant-like effects of black mulberry anthocyanins in mice subjected to chronic mild stress (CMS).
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