ArticleNeurobiology of aging2025
Brain mechanical properties predict longitudinal cognitive change in aging and Alzheimer's disease.
Article in Neurobiology of aging, 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.
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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.
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Who cites it
7 citing papers in PubMed.
- Simultaneous Acquisition of Magnetic Resonance Elastography (MRE) and Diffusion Tensor Imaging (DTI) Optimized for Human Brain.Magnetic resonance in medicine · 2026Article
- Region-dependent mechanical parameters in simulating cerebral atrophy.APL bioengineering · 2026Article
- Review
- Neuromechanobiology: Bridging Mechanobiology and Neuroscience Through Evidence and Open Questions.Cells · 2026Review
- 40 Years of diffusion MRI in the brain: From history to emerging frontiers.Imaging neuroscience (Cambridge, Mass.) · 2026Review
- Mechanobiology of hippocampal neurogenesis: directing neural stem cell fate through physical cues.Frontiers in molecular neuroscience · 2026Review
- Synaptic micromechanics and brain softening as a mechanobiological hypothesis for Alzheimer's disease.Frontiers in neuroscience · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Age-related cognitive decline is a complex phenomenon that is influenced by various neurobiological processes at the molecular, cellular, and tissue levels. The extent of this decline varies between individuals and the underlying determinants of these differences are not fully understood. Two of the most prominent signs of cognitive decline in aging are the deterioration of episodic memory, which is a hallmark of Alzheimer's disease (AD), and the nearly always accompanying atrophy of the medial temporal lobe. Both cross-sectional and longitudinal studies have consistently demonstrated the strong relationship between these two, however, recent advanced imaging techniques have shown promise for predicting cognitive decline earlier than atrophy measures. In this study, we investigate the value of brain biomechanical properties, specifically in the medial temporal lobe, for predicting global cognitive decline along the normal aging and AD spectrum. Our results indicate that the medial temporal stiffness significantly predicts future cognitive decline beyond that achieved by measures of atrophy and amyloidosis. Measures of brain biomechanical properties may provide valuable prognostic information to enable more efficient study design and evaluation of potential interventions.
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Registered trials
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