Nature CommunicationsNeurosciencePeer-reviewed journal article
Human brain organoid networks
Tal SharfiD, Tjitse van der MoleniD, Stella M.K. GlasaueriD, Elmer GuzmaniD, Alessio Paolo BuccinoiD, Gabriel Luna, Zhuowei ChengiD, Morgane AudouardiD, Kamalini G. RanasingheiD, Kiwamu KudoiD, Srikantan S. NagarajaniD, Kenneth R. TovariD, Linda Ruth PetzoldiD, Andreas R. HierlemanniD, Paul K. HansmaiD, Kenneth S. KosikiD
Abstract
Human 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.
- organism: human
- assay: electronic health records
- research focus: cell-cell communication
- approach: experimental assay
- Citations
- 228
- FWCI
- 22.68
- Field percentile
- top 1%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Advanced neural activity mapping in brain organoids via field potential imaging with ultra-high-density CMOS microelectrodes.
Remi Yokoi, Naoki Matsuda, … Ikuro Suzuki·Frontiers in NeurosciencePeer-reviewed·Aug 13, 2025
- Advanced Complexity and Plasticity of Neural Activity in Reciprocally Connected Human Cerebral Organoids
Tatsuya Osaki, Yoshiho Ikeuchi·bioRxiv·Feb 16, 2021
- Identification of neural oscillations and epileptiform changes in human brain organoids
Ranmal Aloka Samarasinghe, Osvaldo A. Miranda, … Bennett G. Novitch·Nature NeurosciencePeer-reviewed·Aug 23, 2021
- Electrophysiological development and functional plasticity in dissociated human cerebral organoids across multiple cell lines
Adam Pavlinek, Sara Guerrisi, … Deepak P. Srivastava·Cell Reports MethodsPeer-reviewed·Mar 27, 2026
- Repetitive stimulation modifies network characteristics of neural organoid circuits
Siu Yu A. Chow, Huaruo Hu, … Yoshiho Ikeuchi·bioRxiv·Jan 16, 2025
- A method for three-dimensional single-cell chronic electrophysiology from developing brain organoids
P. Le Floch, Q. Li, … J. Liu·bioRxiv·Jun 22, 2021