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分配结构以实现功能:神经可塑性与自然选择之间的紧密联系。

Allocating structure to function: the strong links between neuroplasticity and natural selection.

机构信息

Department of Psychology, Franklin & Marshall College Lancaster, PA, USA ; Neuroscience and Cognitive Science Program, Institute for Advanced Computer Studies, University of Maryland College Park, MD, USA.

Behavioral and Evolutionary Neuroscience Group, Department of Psychology, Cornell University Ithaca, NY, USA.

出版信息

Front Hum Neurosci. 2014 Jan 7;7:918. doi: 10.3389/fnhum.2013.00918.

Abstract

A central question in brain evolution is how species-typical behaviors, and the neural function-structure mappings supporting them, can be acquired and inherited. Advocates of brain modularity, in its different incarnations across scientific subfields, argue that natural selection must target domain-dedicated, separately modifiable neural subsystems, resulting in genetically-specified functional modules. In such modular systems, specification of neuron number and functional connectivity are necessarily linked. Mounting evidence, however, from allometric, developmental, comparative, systems-physiological, neuroimaging and neurological studies suggests that brain elements are used and reused in multiple functional systems. This variable allocation can be seen in short-term neuromodulation, in neuroplasticity over the lifespan and in response to damage. We argue that the same processes are evident in brain evolution. Natural selection must preserve behavioral functions that may co-locate in variable amounts with other functions. In genetics, the uses and problems of pleiotropy, the re-use of genes in multiple networks have been much discussed, but this issue has been sidestepped in neural systems by the invocation of modules. Here we highlight the interaction between evolutionary and developmental mechanisms to produce distributed and overlapping functional architectures in the brain. These adaptive mechanisms must be robust to perturbations that might disrupt critical information processing and action selection, but must also recognize useful new sources of information arising from internal genetic or environmental variability, when those appear. These contrasting properties of "robustness" and "evolvability" have been discussed for the basic organization of body plan and fundamental cell physiology. Here we extend them to the evolution and development, "evo-devo," of brain structure.

摘要

大脑进化中的一个核心问题是如何获得和继承物种特有的行为以及支持这些行为的神经功能-结构映射。在不同科学领域以不同形式存在的大脑模块化的拥护者认为,自然选择必须针对特定于域的、可单独修改的神经子系统,从而产生具有遗传特异性的功能模块。在这样的模块化系统中,神经元数量和功能连接的特化必然是相关的。然而,来自比较、发育、系统生理、神经影像学和神经科学研究的大量证据表明,大脑元素在多个功能系统中被使用和重复使用。这种可变分配可以在短期神经调制、整个生命周期的神经可塑性以及对损伤的反应中看到。我们认为,相同的过程在大脑进化中也是明显的。自然选择必须保留可能与其他功能以不同数量共定位的行为功能。在遗传学中,多效性的用途和问题,即基因在多个网络中的重复使用,已经被广泛讨论,但在神经系统中,模块的调用回避了这个问题。在这里,我们强调了进化和发育机制之间的相互作用,以产生大脑中分布式和重叠的功能结构。这些适应性机制必须对可能破坏关键信息处理和动作选择的干扰具有鲁棒性,但也必须识别出由于内部遗传或环境变异性而产生的有用的新信息源,当这些信息出现时。这些“稳健性”和“可进化性”的对比特性已经在身体计划的基本组织和基本细胞生理学中进行了讨论。在这里,我们将它们扩展到大脑结构的进化和发育(“演化发育”)中。

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