PREDICTION OF OUTCOME OF PERIPHERAL NERVE INJURIES - A PROBABILITY MODEL

周围神经损伤结果的预测 - 概率模型

• 批准号: 3944740
• 负责人: L DEMEDINACELLI
• 金额: --
• 依托单位: NATIONAL INSTITUTE OF MENTAL HEALTH
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3944740
• 关键词: axon; mathematical model; model design /development; nervous system regeneration; peripheral nervous system; trauma

The long term functional consequences of peripheral nerve injuries are notoriously unpredictable. We hypothesized that considering the individual regrowth of the elementary components of a nerve (the neurites) rather than the global regeneration of the organ could lead to a better understanding of the mechanisms of nerve repair. We postulated that the regrowth of any individual neurite can be defined in terms of its influence on recovery, the three main possibilities being valid, neutral and invalid regrowth. We have designed a probability model describing the prospects of regrowth for nerve composed of several types of fibers. This model is being tested in pre-determined situations to judge its validity. We found that possible variations in the outcome of nerve injuries could be explained by a parsimonious hypothesis: the randomness of regrowth.

周围神经损伤的长期功能后果 受伤是出了名的不可预测 我们假设 考虑到基本组件的单独再生 神经（神经突）的再生，而不是 该机关可以导致更好地了解机制， 神经修复 我们假设，任何单个神经突的再生都可以是 根据其对复苏的影响， 可能性是有效的，中性的和无效的再生。 我们有 设计了一个概率模型来描述 由几种纤维组成的神经。 这个模型被 在预先确定的情况下进行测试，以判断其有效性。 我们 发现神经损伤结果的可能变化 可以用一个简单的假设来解释： 的再生。