Homophilic wiring principles underpin neuronal network topologyin vitro

• DOI: 10.1101/2022.03.09.483605
• Publication Date: 2022-03-11T00:15:15Z
• Authors: Danyal Akarca; Alexander W. E. Dunn; Philipp J. Hornauer; Silvia Ronchi; Michele Fiscella; Congwei Wang; Marco Terrigno; Ravi Jagasia; Petra E. Vértes; Susanna B. Mierau; Ole Paulsen; Stephen J. Eglen; Andreas Hierlemann; Duncan E. Astle; Manuel Schröter
• Keywords: 0301 basic medicine; 0303 health sciences; 03 medical and health sciences; Human cerebral organoids; Human iPSCs; Computational neuroscience; Primary cortical culture; Generative models; Network neuroscience; Micro-electrode array

ABSTRACTEconomic efficiency has been a popular explanation for how networks self-organize within the developing nervous system. However, the precise nature of the economic negotiations governing this putative organizational principle remains unclear. Here, we address this question further by combining large-scale electrophysiological recordings, to characterize the functional connectivity of developing neuronal networksin vitro, with a generative modeling approach capable of simulating network formation. We find that the best fitting model uses a homophilic generative wiring principle in which neurons form connections to other neurons which are spatially proximal and have similar connectivity patterns to themselves. Homophilic generative models outperform more canonical models in which neurons wire depending upon their spatial proximity either alone or in combination with the extent of their local connectivity. This homophily-based mechanism for neuronal network emergence accounts for a wide range of observations that are described, but not sufficiently explained, by traditional analyses of network topology. Using rodent and human monolayer and organoid cultures, we show that homophilic generative mechanisms can accurately recapitulate the topology of emerging cellular functional connectivity, representing an important wiring principle and determining factor of neuronal network formationin vitro.