Optimized connectome architecture for sensory-motor integration.
Optimized connectome architecture for sensory-motor integration.
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DOI：
10.1162/netn_a_00022
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Mišić B
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文献类型：
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作者：
Worrell JC;Rumschlag J;Betzel RF;Sporns O;Mišić B
神经回路的复杂连接模式支持广泛的通信过程和功能交互。在这里，我们系统地研究神经信号是如何受到限制的中尺度果蝇（果蝇）脑网络的解剖连接。我们使用一个传播模型，描述了局部扰动，如外部刺激，触发全球信号级联，通过网络传播。通过一系列简单的生物学场景，我们证明了解剖嵌入增强了感觉-运动整合。我们发现，从与感觉转导（传感器）相关的节点到与运动输出（效应器）相关的节点，信号传播更快。如果传感器节点被同时激活，则信号传播加速，这表明传感器之间存在拓扑介导的协同作用。此外，网络的组织增加了多个级联向效应器节点收敛的可能性，从而促进运动输出之前的整合。此外，效应器节点往往比其他对节点更频繁地共同激活，这表明在解剖学上增强了运动输出的协调。总之，我们的研究结果表明，中尺度果蝇连接体的组织赋予特权，行为相关的传感器和效应器之间的通信模式，塑造他们的集体整合信息的能力。由神经元及其轴突投射构成的复杂网络促进了多种功能。在本报告中，我们研究了果蝇大脑的拓扑组织如何支持感觉-运动整合。使用一个简单的通信模型，我们表明，该网络的拓扑结构允许感觉和运动神经元之间的有效协调。我们的研究结果表明，大脑网络组织可能深刻地塑造了这个简单的有机体的功能库。
The intricate connectivity patterns of neural circuits support a wide repertoire of communication processes and functional interactions. Here we systematically investigate how neural signaling is constrained by anatomical connectivity in the mesoscale Drosophila (fruit fly) brain network. We use a spreading model that describes how local perturbations, such as external stimuli, trigger global signaling cascades that spread through the network. Through a series of simple biological scenarios we demonstrate that anatomical embedding potentiates sensory-motor integration. We find that signal spreading is faster from nodes associated with sensory transduction (sensors) to nodes associated with motor output (effectors). Signal propagation was accelerated if sensor nodes were activated simultaneously, suggesting a topologically mediated synergy among sensors. In addition, the organization of the network increases the likelihood of convergence of multiple cascades towards effector nodes, thereby facilitating integration prior to motor output. Moreover, effector nodes tend to coactivate more frequently than other pairs of nodes, suggesting an anatomically enhanced coordination of motor output. Altogether, our results show that the organization of the mesoscale Drosophila connectome imparts privileged, behaviorally relevant communication patterns among sensors and effectors, shaping their capacity to collectively integrate information. The complex network spanned by neurons and their axonal projections promotes a diverse set of functions. In the present report, we study how the topological organization of the fruit fly brain supports sensory-motor integration. Using a simple communication model, we demonstrate that the topology of this network allows efficient coordination among sensory and motor neurons. Our results suggest that brain network organization may profoundly shape the functional repertoire of this simple organism.