A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans.
A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans.
复制标题
一组中枢神经元和非局部连接功能支持线虫的全局大脑动力学。
DOI：
10.1016/j.cub.2022.06.039
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Zimmer,Manuel
中科院分区：
文献类型：
--
作者：
Uzel,Kerem;Kato,Saul;Zimmer,Manuel
神经元网络的布线结构被认为是其动态计算的一个强有力的决定因素。因此，神经科学正在努力生成全面的突触分辨率连接体以及全脑活动图。然而，结构-功能关系，即，解剖学上的连接体和神经元动力学在全球范围内如何相互关联，仍然没有解决。系统地比较了秀丽隐杆线虫连接组中的图形特征与神经系统范围内神经元动力学的相关性，我们发现很少有局部连接基序和大多数其他非局部特征，如三联体基序和输入相似性可以预测神经元之间的功能关系。令人惊讶的是，连接强度和公共输入量等数量并没有改善这些预测，这表明网络的拓扑结构已经足够了。我们证明了连接体中的中枢神经元是这些相关图形特征的关键。一致地，多个中枢神经元的抑制特异性地破坏全脑的相关性。因此，我们建议，一组枢纽神经元和非本地连接功能提供了一个解剖基板的全球脑动力学。
The wiring architecture of neuronal networks is assumed to be a strong determinant of their dynamical computations. An ongoing effort in neuroscience is therefore to generate comprehensive synapse-resolution connectomes alongside brain-wide activity maps. However, the structure-function relationship, i.e., how the anatomical connectome and neuronal dynamics relate to each other on a global scale, remains unsolved. Systematically, comparing graph features in theC. elegansconnectome with correlations in nervous system-wide neuronal dynamics, we found that few local connectivity motifs and mostly other non-local features such as triplet motifs and input similarities can predict functional relationships between neurons. Surprisingly, quantities such as connection strength and amount of common inputs do not improve these predictions, suggesting that the network's topology is sufficient. We demonstrate that hub neurons in the connectome are key to these relevant graph features. Consistently, inhibition of multiple hub neurons specifically disrupts brain-wide correlations. Thus, we propose that a set of hub neurons and non-local connectivity features provide an anatomical substrate for global brain dynamics.