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Biomechanical Perspectives on Traumatic Brain Injury in the Elderly: A Comprehensive Review Publisher



Abdi H1 ; Sanchezmolina D2 ; Garciavilana S2 ; Rahimimovaghar V1
Authors
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Authors Affiliations
  1. 1. Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. UPC, GRABI, Eduard Maristany, 14, Barcelona, 08036, Spain

Source: Progress in Biomedical Engineering Published:2025


Abstract

Traumatic brain injuries (TBIs) pose a significant health concern among the elderly population, influenced by age-related physiological changes and the prevalence of neurodegenerative diseases. Understanding the biomechanical dimensions of TBIs in this demographic is vital for developing effective preventive strategies and optimizing clinical management. This comprehensive review explores the intricate biomechanics of TBIs in the elderly, integrating medical and aging studies, experimental biomechanics of head tissues, and numerical simulations. Research reveals that global brain atrophy in normal aging occurs at annual rates of −0.2% to −0.5%. In contrast, neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and multiple sclerosis are associated with significantly higher rates of brain atrophy. These variations in atrophy rates underscore the importance of considering differing brain atrophy patterns when evaluating TBIs among the elderly. Experimental studies further demonstrate that age-related changes in the mechanical properties of critical head tissues increase vulnerability to head injuries. Numerical simulations provide insights into the biomechanical response of the aging brain to traumatic events, aiding in injury prediction and preventive strategy development tailored to the elderly. Biomechanical analysis is essential for understanding injury mechanisms and forms the basis for developing effective preventive strategies. By incorporating local atrophy and age-specific impact characteristics into biomechanical models, researchers can create targeted interventions to reduce the risk of head injuries in vulnerable populations. Future research should focus on refining these models and integrating clinical data to better predict outcomes and enhance preventive care. Advancements in this field promise to improve health outcomes and reduce injury risks for the aging population. © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.