Revealing directed effective connectivity of cortical neuronal networks from measurements
Chumin Sun, K.C. Lin, C.Y. Yeung, Emily S.C. Ching, Yu-Ting Huang,, Pik-Yin Lai, C.K. Chan

TL;DR
This paper introduces a method to reconstruct directed effective connectivity in cortical neuronal networks from voltage measurements, revealing structural features and relationships with network dynamics that differ from traditional functional connectivity analyses.
Contribution
The study applies a novel reconstruction method to in vitro cortical cultures, uncovering directed synaptic links and weights, and demonstrating their correlation with neuronal activity.
Findings
Effective connectivity reproduces features of rat and monkey cortical regions.
Distribution of incoming degree is bimodal, with non-Gaussian long tails.
Synaptic strengths increase with spiking activity in effective but not functional connectivity.
Abstract
In the study of biological networks, one of the major challenges is to understand the relationships between network structure and dynamics. In this paper, we model in vitro cortical neuronal cultures as stochastic dynamical systems and apply a method that reconstructs directed networks from dynamics [Ching and Tam, Phys. Rev. E 95, 010301(R), 2017] to reveal directed effective connectivity, namely the directed links and synaptic weights, of the neuronal cultures from voltage measurements recorded by a multielectrode array. The effective connectivity so obtained reproduces several features of cortical regions in rats and monkeys and has similar network properties as the synaptic network of the nematode C. elegans, the only organism whose entire nervous system has been mapped out as of today. The distribution of the incoming degree is bimodal and the distributions of the average incoming…
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Taxonomy
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