Mercer Audrey, Thomson Alex M
Department of Pharmacology, School of Pharmacy, University College London, London, United Kingdom.
Front Neuroanat. 2017 Sep 26;11:83. doi: 10.3389/fnana.2017.00083. eCollection 2017.
Studying neocortex and hippocampus in parallel, we are struck by the similarities. All three to four layered allocortices and the six layered mammalian neocortex arise in the pallium. All receive and integrate multiple cortical and subcortical inputs, provide multiple outputs and include an array of neuronal classes. During development, each cell positions itself to sample appropriate local and distant inputs and to innervate appropriate targets. Simpler cortices had already solved the need to transform multiple coincident inputs into serviceable outputs before neocortex appeared in mammals. Why then do phylogenetically more recent cortices need multiple pyramidal cell layers? A simple answer is that more neurones can compute more complex functions. The dentate gyrus and hippocampal CA regions-which might be seen as hippocampal antecedents of neocortical layers-lie side by side, albeit around a tight bend. Were the millions of cells of rat neocortex arranged in like fashion, the surface area of the CA pyramidal cell layers would be some 40 times larger. Even if evolution had managed to fold this immense sheet into the space available, the distances between neurones that needed to be synaptically connected would be huge and to maintain the speed of information transfer, massive, myelinated fiber tracts would be needed. How much more practical to stack the "cells that fire and wire together" into narrow columns, while retaining the mechanisms underlying the extraordinary precision with which circuits form. This demonstrably efficient arrangement presents us with challenges, however, not the least being to categorize the baffling array of neuronal subtypes in each of five "pyramidal layers." If we imagine the puzzle posed by this bewildering jumble of apical dendrites, basal dendrites and axons, from many different pyramidal and interneuronal classes, that is encountered by a late-arriving interneurone insinuating itself into a functional circuit, we can perhaps begin to understand why definitive classification, covering every aspect of each neurone's structure and function, is such a challenge. Here, we summarize and compare the development of these two cortices, the properties of their neurones, the circuits they form and the ordered, unidirectional flow of information from one hippocampal region, or one neocortical layer, to another.
在并行研究新皮层和海马体时,我们对它们之间的相似之处感到震惊。所有三到四层的异皮质以及六层的哺乳动物新皮层都起源于大脑皮层。它们都接收并整合多种皮层和皮层下输入,提供多种输出,并且包含一系列神经元类型。在发育过程中,每个细胞都将自身定位以采样适当的局部和远距离输入,并支配适当的目标。在哺乳动物出现新皮层之前,更简单的皮层就已经解决了将多个同时输入转化为可用输出的需求。那么,为什么在系统发育上更新的皮层需要多个锥体细胞层呢?一个简单的答案是,更多的神经元可以计算更复杂的功能。齿状回和海马体CA区(它们可以被视为新皮层各层在海马体中的前身)并排存在,尽管是围绕着一个紧密的弯曲。如果大鼠新皮层的数百万个细胞以类似的方式排列,CA锥体细胞层的表面积将大约大40倍。即使进化能够将这个巨大的薄片折叠到可用空间中,需要形成突触连接的神经元之间的距离也会非常大,并且为了保持信息传递的速度,将需要大量有髓纤维束。将“一起放电并形成连接的细胞”堆叠成狭窄的柱状体要实用得多,同时保留电路形成所依赖的非凡精确性的机制。然而,这种明显高效的排列给我们带来了挑战,其中最主要的挑战之一是对五个“锥体层”中每一层令人困惑的神经元亚型进行分类。如果我们想象一个后来进入的中间神经元想要融入一个功能电路时所遇到的谜题,这个谜题由来自许多不同锥体神经元和中间神经元类型的顶树突、基底树突和轴突的令人眼花缭乱的混乱组合构成,我们或许就能开始理解为什么涵盖每个神经元结构和功能的各个方面的明确分类是如此具有挑战性。在这里,我们总结并比较这两种皮层的发育、它们神经元的特性、它们形成的电路以及从一个海马体区域或一个新皮层层到另一个区域有序、单向的信息流。