Small Griffen, Ballatore Francesca, Giverso Chiara, Balbi Valentina
School of Mathematical and Statistical Sciences, University of Galway, College Road, Galway, Ireland.
Department of Mathematical Sciences "G. L. Lagrange", Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin, Italy.
Soft Matter. 2025 Jul 2;21(26):5268-5283. doi: 10.1039/d5sm00138b.
Brain tissue accommodates non-linear deformations and exhibits time-dependent mechanical behaviour. The latter is one of the most pronounced features of brain tissue, manifesting itself primarily through viscoelastic effects such as stress relaxation. To investigate its viscoelastic behaviour, we performed ramp-and-hold relaxation tests in torsion on freshly slaughtered cylindrical ovine brain samples (25 mm diameter and ∼10 mm height). The tests were conducted using a commercial rheometer at varying twist rates of {40, 240, 400} rad m s, with the twist remaining fixed at ∼88 rad m, which generated two independent datasets for torque and normal force. The complete set of viscoelastic material parameters was estimated a simultaneous fit to the analytical expressions for the torque and normal force predicted by the modified quasi-linear viscoelastic model. The model's predictions were further validated through finite element simulations in FEniCS. Our results show that the modified quasi-linear viscoelastic model-recently reappraised and largely unexploited-accurately fits the experimental data. Moreover, the estimated material parameters are in line with those obtained in previous studies on brain samples under torsion. These material parameters could enhance our understanding of slow-progressing pathologies such as tumour growth or neurodegeneration and inform the development of improved models for brain surgery planning and training. Our novel testing protocol also offers an efficient, robust and reliable method for determining the viscoelastic properties of brain tissue under much more rapid loading conditions, which are of crucial importance for modelling traumatic brain injury.
脑组织能够适应非线性变形,并表现出随时间变化的力学行为。后者是脑组织最显著的特征之一,主要通过应力松弛等粘弹性效应表现出来。为了研究其粘弹性行为,我们对刚屠宰的圆柱形绵羊脑样本(直径25毫米,高约10毫米)进行了扭转斜坡保持松弛试验。试验使用商用流变仪在{40、240、400}弧度·米·秒的不同扭转速率下进行,扭转角度保持在约88弧度·米,从而生成了扭矩和法向力两个独立的数据集。通过对修正的准线性粘弹性模型预测的扭矩和法向力的解析表达式进行同时拟合,估计了完整的粘弹性材料参数集。该模型的预测通过FEniCS中的有限元模拟进一步得到验证。我们的结果表明,最近重新评估且在很大程度上未被充分利用的修正准线性粘弹性模型能够准确拟合实验数据。此外,估计的材料参数与先前关于脑样本扭转的研究中获得的参数一致。这些材料参数可以增进我们对肿瘤生长或神经退行性变等缓慢进展性疾病的理解,并为改进脑外科手术规划和训练模型的开发提供信息。我们新颖的测试方案还提供了一种高效、稳健且可靠的方法,用于在更快的加载条件下确定脑组织的粘弹性特性,这对于模拟创伤性脑损伤至关重要。