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形态重建的海马体CA3区神经元的计算机模拟。

Computer simulations of morphologically reconstructed CA3 hippocampal neurons.

作者信息

Migliore M, Cook E P, Jaffe D B, Turner D A, Johnston D

机构信息

Institute for Interdisciplinary Applications of Physics, National Research Council, Palermo, Italy.

出版信息

J Neurophysiol. 1995 Mar;73(3):1157-68. doi: 10.1152/jn.1995.73.3.1157.

Abstract
  1. We tested several hypotheses with respect to the mechanisms and processes that control the firing characteristics and determine the spatial and temporal dynamics of intracellular Ca2+ in CA3 hippocampal neurons. In particular, we were interested to know 1) whether bursting and nonbursting behavior of CA3 neurons could be accounted for in a morphologically realistic model using a number of the known ionic conductances; 2) whether such a model is robust across different cell morphologies; 3) whether some particular nonuniform distribution of Ca2+ channels is required for bursting; and 4) whether such a model can reproduce the magnitude and spatial distribution of intracellular Ca2+ transients determined from fluorescence imaging studies and can predict reasonable intracellular Ca2+ concentration ([Ca2+]i) distribution for CA3 neurons. 2. For this purpose we have developed a highly detailed model of the distribution and densities of membrane ion channels in hippocampal CA3 bursting and nonbursting pyramidal neurons. This model reproduces both the experimentally observed firing modes and the dynamics of intracellular Ca2+. 3. The kinetics of the membrane ionic conductances are based on available experimental data. This model incorporates a single Na+ channel, three Ca2+ channels (CaN, CaL, and CaT), three Ca(2+)-independent K+ channels (KDR, KA, and KM), two Ca(2+)-dependent K+ channels (KC and KAHP), and intracellular Ca(2+)-related processes such as buffering, pumping, and radial diffusion. 4. To test the robustness of the model, we applied it to six different morphologically accurate reconstructions of CA3 hippocampal pyramidal neurons. In every neuron, Ca2+ channels, Ca(2+)-related processes, and Ca(2+)-dependent K+ channels were uniformly distributed over the entire cell. Ca(2+)-independent K+ channels were placed on the soma and the proximal apical dendrites. For each reconstructed cell we were able to reproduce bursting and nonbursting firing characteristics as well as Ca2+ transients and distributions for both somatic and synaptic stimulations. 5. Our simulation results suggest that CA3 pyramidal cell bursting behavior does not require any special distribution of Ca(2+)-dependent channels and mechanisms. Furthermore, a simple increase in the Ca(2+)-independent K+ conductances is sufficient to change the firing mode of our CA3 neurons from bursting to nonbursting. 6. The model also displays [Ca2+]i transients and distributions that are consistent with fluorescent imaging data. Peak [Ca2+]i distribution for synaptic stimulation of the nonbursting model is broader when compared with somatic stimulation. Somatic stimulation of the bursting model shows a broader distribution in [Ca2+]i when compared with the nonbursting model.(ABSTRACT TRUNCATED AT 400 WORDS)
摘要
  1. 我们针对控制放电特性并决定海马体CA3神经元细胞内Ca2+的时空动态的机制和过程,测试了多个假设。具体而言,我们想知道:1)在一个使用多种已知离子电导的形态学逼真模型中,CA3神经元的爆发式和非爆发式行为是否能够得到解释;2)这样一个模型在不同细胞形态下是否稳健;3)爆发式放电是否需要Ca2+通道的某种特定非均匀分布;4)这样一个模型能否重现荧光成像研究确定的细胞内Ca2+瞬变幅值和空间分布,以及能否预测CA3神经元合理的细胞内Ca2+浓度([Ca2+]i)分布。2. 为此,我们构建了一个关于海马体CA3爆发式和非爆发式锥体神经元膜离子通道分布及密度的高度详细模型。该模型重现了实验观察到的放电模式以及细胞内Ca2+动态。3. 膜离子电导的动力学基于现有的实验数据。此模型纳入了一个Na+通道、三个Ca2+通道(CaN、CaL和CaT)、三个Ca2+非依赖性K+通道(KDR、KA和KM)、两个Ca2+依赖性K+通道(KC和KAHP),以及细胞内与Ca2+相关的过程,如缓冲、泵浦和径向扩散。4. 为测试该模型的稳健性,我们将其应用于六个形态学精确重建的海马体CA3锥体神经元。在每个神经元中,Ca2+通道、与Ca2+相关的过程以及Ca2+依赖性K+通道在整个细胞上均匀分布。Ca2+非依赖性K+通道置于胞体和近端顶端树突上。对于每个重建细胞,我们都能够重现爆发式和非爆发式放电特性,以及体细胞和突触刺激下的Ca2+瞬变和分布。5. 我们的模拟结果表明,CA3锥体细胞的爆发式行为不需要Ca2+依赖性通道和机制的任何特殊分布。此外,简单增加Ca2+非依赖性K+电导足以将我们的CA3神经元放电模式从爆发式转变为非爆发式。6. 该模型还显示出与荧光成像数据一致的[Ca2+]i瞬变和分布。与体细胞刺激相比,非爆发式模型突触刺激的[Ca2+]i峰值分布更宽。与非爆发式模型相比,爆发式模型的体细胞刺激显示出更宽的[Ca2+]i分布。(摘要截选至400字)

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