Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices.
Influence of highly distinctive structural properties on the excitability of pyramidal neurons in monkey visual and prefrontal cortices.
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DOI：
10.1523/jneurosci.2581-12.2012
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发表时间：
2012-10-03
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影响因子：
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通讯作者：
Luebke JI
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作者：
Amatrudo JM;Weaver CM;Crimins JL;Hof PR;Rosene DL;Luebke JI
全细胞膜片钳记录和高分辨率三维形态计量学分析的第3层锥体神经元在体外切片的猴初级视觉皮层（V1）和背外侧颗粒前额叶皮层（dlPFC）显示，神经元在这两个脑区具有高度独特的结构和功能特性。V1区锥体神经元比dlPFC神经元小得多，具有显著较少的广泛树突乔木和少得多的树突棘。相对于dlPFC神经元，V1神经元具有显著更高的输入电阻、去极化静息膜电位和更高的动作电位（AP）放电率。大多数V1神经元表现出阶段性和定期尖峰强直AP放电模式，而dlPFC神经元只表现出强直放电。自发突触后电流的幅度较低，有更快的动力学V1比dlPFC神经元，但没有不同的频率。V1和dlPFC神经元的三维重建被纳入到包含Hodgkin-Huxley和AMPA-和GABAA-受体门控通道的计算模型。形态学在很大程度上占观察到的被动生理特性，但导致AP放电率不同，比经验观察，和突触反应，反对经验的结果。因此，建模预测V1和dlPFC神经元之间的有源通道电导不同。V1和dlPFC神经元的独特功能可能是特定区域网络行为的基本决定因素。紧凑的电紧张性乔木和V1神经元的兴奋性增加支持视觉信息的早期处理所需的快速信号整合。dlPFC神经元的更大连接性和树突复杂性可能支持更高水平的认知功能，包括工作记忆和规划。
Whole-cell patch-clamp recordings and high-resolution 3D morphometric analyses of layer 3 pyramidal neurons in in vitro slices of monkey primary visual cortex (V1) and dorsolateral granular prefrontal cortex (dlPFC) revealed that neurons in these two brain areas possess highly distinctive structural and functional properties. Area V1 pyramidal neurons are much smaller than dlPFC neurons, with significantly less extensive dendritic arbors and far fewer dendritic spines. Relative to dlPFC neurons, V1 neurons have a significantly higher input resistance, depolarized resting membrane potential and higher action potential (AP) firing rates. Most V1 neurons exhibit both phasic and regular-spiking tonic AP firing patterns, while dlPFC neurons exhibit only tonic firing. Spontaneous postsynaptic currents are lower in amplitude and have faster kinetics in V1 than in dlPFC neurons, but are no different in frequency. Three-dimensional reconstructions of V1 and dlPFC neurons were incorporated into computational models containing Hodgkin-Huxley and AMPA- and GABAA-receptor gated channels. Morphology alone largely accounted for observed passive physiological properties, but led to AP firing rates that differed more than observed empirically, and to synaptic responses that opposed empirical results. Accordingly, modeling predicts that active channel conductances differ between V1 and dlPFC neurons. The unique features of V1 and dlPFC neurons are likely fundamental determinants of area-specific network behavior. The compact electrotonic arbor and increased excitability of V1 neurons support the rapid signal integration required for early processing of visual information. The greater connectivity and dendritic complexity of dlPFC neurons likely support higher level cognitive functions including working memory and planning.