Human brain organoid networks

Author:

Sharf TalORCID,van der Molen TjitseORCID,Glasauer Stella M.K.,Guzman Elmer,Buccino Alessio P.ORCID,Luna Gabriel,Cheng Zhouwei,Audouard Morgane,Ranasinghe Kamalini G.,Kudo Kiwamu,Nagarajan Srikantan S.,Tovar Kenneth R.,Petzold Linda R.,Hierlemann AndreasORCID,Hansma Paul K.,Kosik Kenneth S.ORCID

Abstract

AbstractHuman brain organoids replicate much of the cellular diversity and developmental anatomy of the human brain. However, the physiological behavior of neuronal circuits within organoids remains relatively under-explored. With high-density CMOS microelectrode arrays (26,400 electrodes) and shank electrodes (960 electrodes), we probed broadband and three-dimensional extracellular field recordings generated by spontaneous activity of human brain organoids. These recordings simultaneously captured local field potentials (LFPs) and single-unit activity extracted through spike sorting. From spiking activity, we estimated a directed functional connectivity graph of synchronous neural network activity, which showed a large number of weak functional connections enmeshed within a network skeleton of significantly fewer strong connections. Treatment of the organoid with a benzodiazepine induced a reproducible signature response that shortened the inter-burst intervals, increased the uniformity of the firing pattern within each burst and decreased the population of weakly connected edges. Simultaneously examining the spontaneous LFPs and their phase alignment to spiking showed that spike bursts were coherent with theta oscillations in the LFPs. Our results demonstrate that human brain organoids have self-organized neuronal assemblies of sufficient size, cellular orientation, and functional connectivity to co-activate and generate field potentials from their collective transmembrane currents that phase-lock to spiking activity. These results point to the potential of brain organoids for the study of neuropsychiatric diseases, drug mechanisms, and the effects of external stimuli upon neuronal networks.

Publisher

Cold Spring Harbor Laboratory

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