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按年龄和性别分组的人类大脑平均生物力学反应。

Average Biomechanical Responses of the Human Brain Grouped by Age and Sex.

作者信息

Alshareef Ahmed, Carass Aaron, Lu Yuan-Chiao, Mojumder Joy, Diano Alexa M, Bailey Olivia M, Okamoto Ruth J, Pham Dzung L, Prince Jerry L, Bayly Philip V, Johnson Curtis L

机构信息

Department of Biomedical Engineering, University of South Carolina, Columbia, SC, USA.

Image Analysis and Communications Laboratory, Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Ann Biomed Eng. 2025 Jun;53(6):1496-1511. doi: 10.1007/s10439-025-03725-y. Epub 2025 Apr 9.

Abstract

Traumatic brain injuries (TBIs) occur from rapid head motion that results in brain deformation. Computational models are typically used to estimate brain deformation to predict risk of injury and evaluate the effectiveness of safety countermeasures. The accuracy of these models relies on validation to experimental brain deformation data. In this study, we create the first group-average biomechanical responses of the brain, including structure, material properties, and deformation response, by age and sex from 157 subjects. Subjects were sorted intro three age groups-young, mid-age, and older-and by sex to create group-average neuroanatomy, material properties, and brain deformation response to non-injurious loading using structural and specialized magnetic resonance imaging data. Computational models were also built using the group-average geometry and material properties for each of the six groups. The material properties did not depend on sex, but showed a decrease in shear stiffness in the older adult group. The brain deformation response also showed differences in the distribution of strain and a decrease in the magnitude of maximum strain in the older adult group. The computational models were simulated using the same non-injurious loading conditions as the subject data. While the models' strain response showed differences among the models, there were no clear relationships with age. Further studies, both modeling and experimental, with more data from subjects in each age group, are needed to clarify the mechanisms underlying the observed changes in strain response with age, and for computational models to better match the trends observed across the group-average responses.

摘要

创伤性脑损伤(TBI)是由导致大脑变形的快速头部运动引起的。计算模型通常用于估计大脑变形,以预测损伤风险并评估安全对策的有效性。这些模型的准确性依赖于与实验性大脑变形数据的验证。在本研究中,我们根据157名受试者的年龄和性别创建了第一组大脑的平均生物力学反应,包括结构、材料特性和变形反应。受试者被分为三个年龄组——青年、中年和老年——并按性别分类,使用结构和专门的磁共振成像数据创建平均神经解剖结构、材料特性以及大脑对非损伤性负荷的变形反应。还使用六个组中每组的平均几何形状和材料特性构建了计算模型。材料特性不取决于性别,但在老年组中剪切刚度有所下降。大脑变形反应在应变分布上也存在差异,老年组中的最大应变幅度有所降低。计算模型使用与受试者数据相同的非损伤性负荷条件进行模拟。虽然模型的应变反应在模型之间存在差异,但与年龄没有明确的关系。需要进行更多的建模和实验研究,获取每个年龄组受试者的更多数据,以阐明观察到的应变反应随年龄变化的潜在机制,并使计算模型更好地匹配在平均反应中观察到的趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a23b/12075284/cf08a641bb6d/10439_2025_3725_Fig1_HTML.jpg

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