Elbasiouny Sherif M
Departments of Neuroscience, Cell Biology, & Physiology and Biomedical, Industrial & Human Factors Engineering, Boonshoft School of Medicine, College of Science and Mathematics, and College of Engineering and Computer Science, Wright State University, Dayton, Ohio
J Appl Physiol (1985). 2014 Dec 1;117(11):1243-61. doi: 10.1152/japplphysiol.00496.2014. Epub 2014 Oct 2.
In large network and single three-dimensional (3-D) neuron simulations, high computing speed dictates using reduced cable models to simulate neuronal firing behaviors. However, these models are unwarranted under active conditions and lack accurate representation of dendritic active conductances that greatly shape neuronal firing. Here, realistic 3-D (R3D) models (which contain full anatomical details of dendrites) of spinal motoneurons were systematically compared with their reduced single unbranched cable (SUC, which reduces the dendrites to a single electrically equivalent cable) counterpart under passive and active conditions. The SUC models matched the R3D model's passive properties but failed to match key active properties, especially active behaviors originating from dendrites. For instance, persistent inward currents (PIC) hysteresis, frequency-current (FI) relationship secondary range slope, firing hysteresis, plateau potential partial deactivation, staircase currents, synaptic current transfer ratio, and regional FI relationships were not accurately reproduced by the SUC models. The dendritic morphology oversimplification and lack of dendritic active conductances spatial segregation in the SUC models caused significant underestimation of those behaviors. Next, SUC models were modified by adding key branching features in an attempt to restore their active behaviors. The addition of primary dendritic branching only partially restored some active behaviors, whereas the addition of secondary dendritic branching restored most behaviors. Importantly, the proposed modified models successfully replicated the active properties without sacrificing model simplicity, making them attractive candidates for running R3D single neuron and network simulations with accurate firing behaviors. The present results indicate that using reduced models to examine PIC behaviors in spinal motoneurons is unwarranted.
在大型网络和单个三维(3-D)神经元模拟中,高计算速度决定了使用简化电缆模型来模拟神经元放电行为。然而,这些模型在活跃条件下是不合理的,并且缺乏对极大地塑造神经元放电的树突活性电导的准确表示。在这里,系统地比较了脊髓运动神经元的真实三维(R3D)模型(包含树突的完整解剖细节)与其在被动和活跃条件下的简化单无分支电缆(SUC,将树突简化为单个电等效电缆)对应模型。SUC模型与R3D模型的被动特性相匹配,但未能匹配关键的活跃特性,特别是源自树突的活跃行为。例如,持续内向电流(PIC)滞后、频率-电流(FI)关系的二次范围斜率、放电滞后、平台电位部分失活、阶梯电流、突触电流传递率和区域FI关系均未被SUC模型准确再现。SUC模型中树突形态的过度简化和树突活性电导空间分离的缺乏导致这些行为被显著低估。接下来,通过添加关键分支特征对SUC模型进行修改,试图恢复其活跃行为。仅添加初级树突分支只能部分恢复一些活跃行为,而添加次级树突分支则恢复了大多数行为。重要的是,所提出的修改模型成功地复制了活跃特性,而没有牺牲模型的简单性,使其成为运行具有准确放电行为的R3D单神经元和网络模拟的有吸引力的候选模型。目前的结果表明,使用简化模型来研究脊髓运动神经元中的PIC行为是不合理的。