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The function of neurocognitive networks Comment on 'Understanding brain networks and brain organization' by Pessoa

机译:神经认知网络的功能评论佩索阿的“了解脑网络和脑组织”

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摘要

Pessoa [5] has performed a valuable service by reviewing the extant literature on brain networks and making a number of interesting proposals about their cognitive function. The term function is at the core of understanding the brain networks of cognition, or neurocognitive networks (NCNs) [1]. The great Russian neuropsychologist, Luria [4], defined brain function as the common task executed by a distributed brain network of complex dynamic structures united by the demands of cognition. Casting Luria in a modern light, we can say that function emerges from the interactions of brain regions in NCNs as they dynamically self-organize according to cognitive demands. Pessoa rightly details the mapping between brain function and structure, emphasizing both its pluripotency (one structure having multiple functions) and degeneracy (many structures having the same function). However, he fails to consider the potential importance of a one-to-one mapping between NCNs and function. If NCNs are uniquely composed of specific collections of brain areas, then each NCN has a unique function determined by that composition.
机译:佩索阿[5]通过回顾有关大脑网络的现有文献并就其认知功能提出了许多有趣的建议,从而提供了有价值的服务。功能一词是理解认知的大脑网络或神经认知网络(NCN)的核心[1]。伟大的俄罗斯神经心理学家卢里亚(Luria)[4]将大脑功能定义为由复杂的动态结构的分布式大脑网络执行的常见任务,这些复杂的动态结构由认知需求组成。用现代的眼光铸造Luria,我们可以说,功能是由NCN的大脑区域相互作用而形成的,因为它们根据认知需求动态地自组织。佩索阿正确地详述了脑功能与结构之间的映射,强调了其多能性(一种具有多种功能的结构)和变性(许多具有相同功能的结构)。但是,他没有考虑NCN与功能之间一对一映射的潜在重要性。如果NCN由特定的大脑区域集合唯一组成,则每个NCN都有由该组成决定的独特功能。

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