Mouse Data_traumatic_nerve_injury_and_healthy_mice.xlsx

Quantitative scoring enabling comparison of neuromotor recovery in peripheral nerve injury models is critical to understanding and gauging the extent of injury and repair. Not all interventions can be experimented in humans. However, methods for evaluating rodent gait lack the multivariate description applied to humans limiting their effectiveness. Using state of the art methods to multivariately evaluate novel therapies (like limb transplantation) in murine gait models represents a novel clinical problem to investigate.Video gait data was collected of mice walking on the DigiGait treadmill system across groups representing increasing degrees of damage to the neuro-musculo-skeletal sequence of healthy gait. Groups included healthy controls and two experimental groups: (a) total nerve transection + reconnection of the femoral and sciatic nerves, and (b) nerve, muscle, and bone damage via total hind limb transplantation.可用于外周神经损伤模型中神经运动恢复水平对比的定量评分方法，对于明确与评估损伤及修复程度至关重要。并非所有干预手段均可在人体中进行实验研究。然而，当前用于评估啮齿类动物步态的方法，缺乏适配人类步态分析的多变量描述维度，从而限制了其应用效能。采用当前最先进的多变量分析方法，对小鼠步态模型中的新型治疗方案（如肢体移植）展开评估，为临床研究提供了全新的课题方向。研究人员通过DigiGait步态分析跑步机系统，采集了不同组别小鼠的行走视频步态数据；各组别对应健康步态的神经-肌肉-骨骼通路损伤程度依次递增。组别设置包含健康对照组与两个实验组：(a) 神经完全横断+股神经与坐骨神经吻合组；(b) 完全后肢移植所致神经、肌肉与骨骼损伤组。