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Computational study on cortical spreading depression based on a generalized cellular automaton model

机译：基于广义细胞自动机模型的皮质扩散抑制的计算研究

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摘要

Cortical spreading depression (CSD) is an important neurophysiological phenomenon correlating with some neural disorders, such as migraine, cerebral ischemia and epilepsy. By now, we are still not clear about the mechanisms of CSD's initiation and propagation, also the relevance between CSD and those neural diseases. Nevertheless, characterization of CSD, especially the spatiotemporal evolution, will promote the understanding of the CSD's nature and mechanisms. Besides the previous experimental work on charactering the spatiotemporal evolution of CSD in rats by optical intrinsic signal imaging, a computational study based on a generalized cellular automaton (CA) model was proposed here. In the model, we exploited a generalized neighborhood connection rule: a central CA cell is related with a group of surrounding CA cells with different weight coefficients. By selecting special parameters, the generalized CA model could be transformed to the traditional CA models with von Neumann, Moore and hexagon neighborhood connection means. Hence, the new model covered several properties of CSD simulated in traditional CA models: 1) expanding from the origin site like a circular wave; 2) annihilation of two waves traveling in opposite directions after colliding; 3) wavefront of CSD breaking and recovering when and after encountering an obstacle. By setting different refractory period in the different CA lattice field, different connection coefficient in different direction within the defined neighborhood, inhomogeneous propagation of CSD was simulated with high fidelity. The computational results were analogous to the reported time-varying CSD waves by optical imaging. So, the generalized CA model would be useful to study CSD because of its intuitive appeal and computational efficiency.
机译：皮质散布性抑郁症（CSD）是一种重要的神经生理现象，与某些神经疾病（例如偏头痛，脑缺血和癫痫病）相关。到目前为止，我们仍不清楚CSD的启动和传播机制，以及CSD与这些神经疾病之间的相关性。尽管如此，对CSD的特征，特别是时空演化，将促进对CSD性质和机制的理解。除了先前通过光固有信号成像表征大鼠CSD时空演变的实验工作外，本文还提出了基于广义细胞自动机（CA）模型的计算研究。在模型中，我们利用了通用的邻域连接规则：中央CA细胞与一组具有不同权重系数的周围CA细胞相关。通过选择特殊参数，可以将通用CA模型转换为具有von Neumann，Moore和六边形邻域连接方法的传统CA模型。因此，新模型涵盖了传统CA模型中模拟的CSD的几个属性：1）从原点扩展为圆形波； 2）碰撞后沿相反方向传播的两波two灭； 3）CSD在遇到障碍物时以及遇到障碍物后破裂并恢复的波前。通过在不同的CA晶格场中设置不同的不应期，在定义的邻域内在不同方向上的不同连接系数，以高保真度模拟了CSD的不均匀传播。计算结果类似于通过光学成像报道的时变CSD波。因此，广义的CA模型由于其直观的吸引力和计算效率，将对研究CSD非常有用。

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  • 来源
    《Optical diagnostics and sensing IX》|2009年|71860H.1-71860H.9|共9页
  • 会议地点 San Jose CA(US)
  • 作者

    Shangbin Chen; Lele Hu; Bing Li; Changcheng Xu; Qian Liu;

  • 作者单位

    Britton Chance Center of Biomedical Photonics-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    Britton Chance Center of Biomedical Photonics-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    Britton Chance Center of Biomedical Photonics-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    Britton Chance Center of Biomedical Photonics-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, PR China;

    Britton Chance Center of Biomedical Photonics-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 43;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    cortical spreading depression; cellular automaton; generalized neighborhood;

    机译：皮质扩散凹陷细胞自动机广义邻里;

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