Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings

PLoS Computational Biology
Vito Paolo PastoreSergio Martinoia

Abstract

Functional-effective connectivity and network topology are nowadays key issues for studying brain physiological functions and pathologies. Inferring neuronal connectivity from electrophysiological recordings presents open challenges and unsolved problems. In this work, we present a cross-correlation based method for reliably estimating not only excitatory but also inhibitory links, by analyzing multi-unit spike activity from large-scale neuronal networks. The method is validated by means of realistic simulations of large-scale neuronal populations. New results related to functional connectivity estimation and network topology identification obtained by experimental electrophysiological recordings from high-density and large-scale (i.e., 4096 electrodes) microtransducer arrays coupled to in vitro neural populations are presented. Specifically, we show that: (i) functional inhibitory connections are accurately identified in in vitro cortical networks, providing that a reasonable firing rate and recording length are achieved; (ii) small-world topology, with scale-free and rich-club features are reliably obtained, on condition that a minimum number of active recording sites are available. The method and procedure can be directly ex...Continue Reading

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Citations

Nov 2, 2019·Nature Communications·Josef LadenbauerSrdjan Ostojic
Nov 21, 2019·Scientific Reports·Víctor J López-MadronaErnesto Pereda
Mar 9, 2021·Frontiers in Computational Neuroscience·Erick OlivaresRandall D Beer
Mar 9, 2021·Journal of Neural Engineering·Joseph YoungBehnaam Aazhang
Apr 9, 2021·PLoS Computational Biology·Motoki KajiwaraMasanori Shimono
Jan 28, 2021·Journal of Neurophysiology·Josué de Jesús Juárez-VidalesFernando Peña-Ortega
Apr 8, 2021·Journal of Computational Neuroscience·Lorenzo ChicchiDuccio Fanelli
Jun 16, 2021·Cellular and Molecular Life Sciences : CMLS·Egor DzyubenkoDirk M Hermann

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Software Mentioned

SpiCoDyn
MEA
Matlab
FNCCH

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