Cited by 978Neural dynamics and brain functionNeurogenesis and neuroplasticity mechanismsNeuroscience and Neuropharmacology Research

Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development

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Trujillo, Cleber A., Gao, Richard, Negraes, Priscilla D., Gu, Jing, Buchanan, Justin, Preissl, Sebastian, Wang, Allen, Wu, Wei +8 more·2019·Cell Stem Cell

Published version of a preprint

Abstract

Structural and transcriptional changes during early brain maturation follow fixed developmental programs defined by genetics. However, whether this is true for functional network activity remains unknown, primarily due to experimental inaccessibility of the initial stages of the living human brain. Here, we developed human cortical organoids that dynamically change cellular populations during maturation and exhibited consistent increases in electrical activity over the span of several months. The spontaneous network formation displayed periodic and regular oscillatory events that were dependent on glutamatergic and GABAergic signaling. The oscillatory activity transitioned to more spatiotemporally irregular patterns, and synchronous network events resembled features similar to those observed in preterm human electroencephalography. These results show that the development of structured network activity in a human neocortex model may follow stable genetic programming. Our approach provides opportunities for investigating and manipulating the role of network activity in the developing human cortex.

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Registry

Crossref · 10.1016/j.stem.2019.08.002

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  • Neural organoids in vitro or following transplantation show highly correlated activity indicative of circuit immaturity.

    “This is in contrast with data obtained using neural organoids in vitro or following transplantation (Mansour et al., 2018, Trujillo et al., 2019), which show highly correlated activity indicative of circuit immaturity.”

    From Xenotransplanted human cortical neurons reveal species-specific development and functional integration into mouse visual circuits (2019) · cites this paper as Trujillo et al., 2019

    The Discussion reports highly synchronous, stereotypical activity in in-vitro cortical organoids at two months, and the Results liken synchronized events to preterm infant EEG. But the Discussion says activity becomes more variable as the organoids develop, so the source does not support describing their activity as uniformly highly correlated or their circuits as uniformly immature. This paper studies in-vitro organoids; the transplantation study has a separate citation. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Human brain organoids can replicate the complex brain microenvironment better than 2D in vitro models.

    “With their 3D structures and cell components resembling the human brain, these organoids can replicate the complex brain microenvironment better than 2D in vitro models (15–17, 19)”

    From Understanding monocyte-driven neuroinflammation in Alzheimer’s disease using human cortical organoid microphysiological systems (2025) · cites this paper as [17]

    The Introduction describes organoids as three-dimensional models that mimic human brain development at the cellular and molecular levels, and the Results describe brain-like cell types and layered structures. Our copy does not establish that organoids replicate the brain microenvironment better than 2D in vitro models; searches for that comparison found no supporting passage. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The cells projected on the UMAP space were annotated using canonical marker genes for neurons, progenitors, intermediate progenitors, astrocytes, other glial cells, and monocytes.

    “The cells projected on the UMAP space were annotated using canonical marker genes for neurons, progenitors, intermediate progenitors, astrocytes, other glial cells, and monocytes (17, 84, 85).”

    From Understanding monocyte-driven neuroinflammation in Alzheimer’s disease using human cortical organoid microphysiological systems (2025) · cites this paper as [17]

    The Results section (‘Generation of functional cortical organoids’; page unavailable) says cells were classified using gene markers into progenitors, intermediate progenitors, glial cells, and two neuronal classes. STAR METHODS (‘Methods Details’; page unavailable) describes plotting the clusters on UMAP. The copy does not report monocytes or astrocytes as separate annotated classes, so it does not support the full list in the claim. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Human brain organoids are 3D cultures derived from human pluripotent stem cells and recapitulate native brain cellular components, cytoarchitecture, and exhibit neural activity.

    “Human brain organoids are 3D cultures derived from human pluripotent stem cells and recapitulate native brain cellular components, cytoarchitecture, and exhibit neural activity.22–24”
  • Human brain organoids are a scaled-down, three-dimensional model of the human brain, mimicking various developmental features, including generation of new neurons by their conversion from radial glia and incorporation into neuronal network.

    “Human brain organoids are emerging as a scaled-down, three-dimensional model of the human brain, mimicking various developmental features, including generation of new neurons by their conversion from radial glia20 and incorporation into neuronal network21.”

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Research works printed but not linked: 2

  1. Murrell P (2005). R Graphics (Chapman & Hall/CRC Press).
  2. Wickham H (2016). ggplot2 (Springer).

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Authors
Trujillo, C. A., Gao, R., Negraes, P. D., Gu, J., Buchanan, J., Preissl, S., Wang, A., Wu, W., Haddad, G. G., Chaim, I. A., Domissy, A., Vandenberghe, M., Devor, A., Yeo, G. W., Voytek, B., & Muotri, A. R.
Affiliations
  • University of California San Diego (US)
  • Harvard University (US)
Corresponding author
Muotri, Alysson R.
Venue
Cell Stem Cell
Publisher
Elsevier BV
Published
2019-10
Volume
25
Issue
4
Pages
558-569.e7
ISSN
  • 1875-9777 (ISSN-L)
  • 1934-5909
OpenAlex
W2970454553
Cited by
974
References
80
Citations by year
2026: 131 · 2025: 148 · 2024: 186 · 2023: 110 · 2022: 131 · 2021: 131 · 2020: 98 · 2019: 32 · 2018: 5
FWCI
57.13
Type
journal article
Language
en
Open access
Locations
  • Cell stem cell (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • California Institute for Regenerative Medicine (DISC1-08825, DISC2-09649)
  • Whitehall Foundation (2017-12-73)
  • National Institutes of Health (U19MH1073671, R01MH108528, R01MH109885, R01MH100175, R56MH109587, R01MH094753)
  • National Alliance for Research on Schizophrenia and Depression
  • Simons Foundation Autism Research Initiative (345469)
  • Natural Sciences and Engineering Research Council of Canada
  • School of Medicine, University of California, San Diego
  • University of California, San Diego
  • Foundation for the National Institutes of Health (/NIGMS K12 GM068524, K12 GM068524, U19MH1073671)
  • Kavli Institute for Brain and Mind, University of California, San Diego
  • Spectrum Pharmaceuticals
  • National Science Foundation (1736028)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
Keywords
cortical organoids, human brain development, network activity, glutamatergic signaling, GABAergic neurotransmission, developmental programming, functional brain networks
MeSH terms
Biological Clocks, Cells, Cultured, Cerebellar Cortex, gamma-Aminobutyric Acid, Humans, Nerve Net, Synaptic Transmission, Organoids, Signal Transduction, Neocortex, Gene Expression Profiling, Neurogenesis, Induced Pluripotent Stem Cells, Single-Cell Analysis, Electromagnetic Radiation

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