Spinal Cord Injury (SCI) is a severe condition that can result in loss of motor and sensory functions by disrupting communication among neurons, i.e., neuro-spike communication. Future information and communication technology (ICT) based treatment techniques for SCI are expected to rely on nano networks, deployed inside the body. In this respect, modeling neuro-spike communication channels in the spinal cord and revealing the relationship between channel metrics and SCI are required to realize these treatment techniques and diagnosis tools such as replacement neural implants, high-performance diagnosis tools, which are based on ICT metrics instead of large medical data. Therefore, in this study, we focus on a spinal cord network, namely the descending spinal cord pathway, which is responsible for the transmission of brain motor signals to the spinal cord. We aim to analyze the rate of motor information flow to the corresponding muscle. To this end, we model the spinal cord motor network as a layered network consisting of a cascade of two independent neuro-spike channels, which are brain-spinal cord network and spinal cord interneuron-spinal cord motoneuron network. We derive upper and lower bounds for the total rate across the brain-spinal cord network and interneuron-spinal cord network. Our evaluations demonstrate that the total rate in the case of upper motor neuron syndrome (UMNS), which manifests itself with muscle weakness, approaches zero, where the brain-spinal cord network becomes a bottleneck. In lower motor neuron syndrome (LMNS), which results in muscle atrophy, the total rate again approaches zero with the loss of spinal cord motoneurons (MN).

中文翻译：

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脊髓中分层神经尖峰网络的信息流速率


脊髓损伤 (SCI) 是一种严重疾病，可通过破坏神经元之间的通讯（即神经尖峰通讯）而导致运动和感觉功能丧失。未来基于信息和通信技术 (ICT) 的 SCI 治疗技术预计将依赖于部署在体内的纳米网络。在这方面，需要对脊髓中的神经尖峰通信通道进行建模，并揭示通道指标与SCI之间的关系，以实现这些基于ICT的治疗技术和诊断工具，例如替代神经植入物、高性能诊断工具指标而不是大型医疗数据。因此，在本研究中，我们关注脊髓网络，即脊髓下行通路，它负责将脑运动信号传输到脊髓。我们的目的是分析运动信息流向相应肌肉的速率。为此，我们将脊髓运动网络建模为一个分层网络，由两个独立的神经尖峰通道级联组成，即脑-脊髓网络和脊髓中间神经元-脊髓运动神经元网络。我们得出了大脑-脊髓网络和中间神经元-脊髓网络总速率的上限和下限。我们的评估表明，上运动神经元综合征（UMNS）（表现为肌肉无力）的总发生率接近于零，其中脑脊髓网络成为瓶颈。在导致肌肉萎缩的下运动神经元综合征（LMNS）中，随着脊髓运动神经元（MN）的损失，总比率再次接近于零。