Computational Neuroscience Unit, School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, University of Bristol, BS8 1UB, United Kingdom.
Computational Neuroscience Unit, School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics, University of Bristol, BS8 1UB, United Kingdom.
Curr Opin Neurobiol. 2021 Oct;70:74-80. doi: 10.1016/j.conb.2021.07.008. Epub 2021 Aug 17.
Redundancy is a ubiquitous property of the nervous system. This means that vastly different configurations of cellular and synaptic components can enable the same neural circuit functions. However, until recently, very little brain disorder research has considered the implications of this characteristic when designing experiments or interpreting data. Here, we first summarise the evidence for redundancy in healthy brains, explaining redundancy and three related sub-concepts: sloppiness, dependencies and multiple solutions. We then lay out key implications for brain disorder research, covering recent examples of redundancy effects in experimental studies on psychiatric disorders. Finally, we give predictions for future experiments based on these concepts.
冗余性是神经系统的普遍特性。这意味着,细胞和突触成分的差异很大的配置可以使相同的神经回路功能成为可能。然而,直到最近,在设计实验或解释数据时,很少有大脑紊乱研究考虑到这一特征的意义。在这里,我们首先总结了健康大脑中冗余性的证据,解释了冗余性和三个相关的子概念:马虎、依赖和多种解决方案。然后,我们列出了这些概念对大脑紊乱研究的主要影响,涵盖了精神障碍实验研究中冗余效应的最新例子。最后,我们根据这些概念对未来的实验进行了预测。