Nosrati Hadi, Shafieian Mehdi, Abolfathi Nabiollah
Department of Biomedical Engineering, Amirkabir University of Technology, 424 Hafez Ave, Tehran, Iran.
Ann Biomed Eng. 2025 Jun 10. doi: 10.1007/s10439-025-03765-4.
In 2020, a review titled Fifty Shades of Brain: A Review on the Mechanical Testing and Modeling of Brain Tissue was published, offering a comprehensive overview of brain mechanics. While this work stands out for its insightful analysis of brain mechanics, there are certain points it did not fully address, as well as key areas that require more detailed examination. The goal of this review is not merely to summarize and report on previous studies but to highlight discrepancies in the root causes of the extensive data reported in the literature. By examining the wide-ranging data, the progression of research over six decades, and the knowledge developed during this period, we aim to identify the sources of these discrepancies and propose feasible directions for future research. Additionally, while micromechanical models have attracted significant attention in recent years, we provide evidence to emphasize that, despite their advantages, these models are not yet reliable enough to replace conventional mechanical experiments and macro-scale models. By compiling, visualizing, and analyzing data from the past six decades and integrating challenging issues into a cohesive framework, this approach provides a more actionable analysis. It simplifies navigation through the field and equips researchers with a clearer understanding of its historical progression, challenges, and opportunities.
2020年,一篇题为《大脑的五十种形态:脑组织力学测试与建模综述》的评论文章发表,对大脑力学进行了全面概述。虽然这项工作因其对大脑力学的深刻分析而引人注目,但仍有一些要点未得到充分探讨,还有一些关键领域需要更详细的研究。本综述的目的不仅仅是总结和报告先前的研究,而是要突出文献中大量数据根本原因的差异。通过审视广泛的数据、六十年来的研究进展以及在此期间积累的知识,我们旨在找出这些差异的根源,并为未来的研究提出可行的方向。此外,尽管近年来微观力学模型备受关注,但我们提供证据强调,尽管这些模型具有优势,但它们还不够可靠,无法取代传统的力学实验和宏观尺度模型。通过整理、可视化和分析过去六十年的数据,并将具有挑战性的问题整合到一个连贯的框架中,这种方法提供了更具可操作性的分析。它简化了在该领域的导航,并使研究人员更清楚地了解其历史进程、挑战和机遇。