Human brain organoid networks

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.

[1]  Jia Liu,et al.  Emerging bioelectronics for brain organoid electrophysiology. , 2021, Journal of molecular biology.

[2]  L. Petzold,et al.  Extracellular detection of neuronal coupling , 2021, Scientific Reports.

[3]  Da Som Yang,et al.  Three-dimensional, multifunctional neural interfaces for cortical spheroids and engineered assembloids , 2021, Science Advances.

[4]  Madeline A. Lancaster,et al.  Brain organoids for the study of human neurobiology at the interface of in vitro and in vivo , 2020, Nature Neuroscience.

[5]  Giorgia Quadrato,et al.  Upgrading the Physiological Relevance of Human Brain Organoids , 2020, Neuron.

[6]  Sai Teja Pusuluri,et al.  Electrophysiological Maturation of Cerebral Organoids Correlates with Dynamic Morphological and Cellular Development , 2020, Stem cell reports.

[7]  Wei Gong,et al.  Versatile live-cell activity analysis platform for characterization of neuronal dynamics at single-cell and network level , 2020, Nature Communications.

[8]  Ethan M. Goldberg,et al.  Sliced Human Cortical Organoids for Modeling Distinct Cortical Layer Formation. , 2020, Cell stem cell.

[9]  I. Módy,et al.  Identification of neural oscillations and epileptiform changes in human brain organoids , 2019, Nature Neuroscience.

[10]  Matthias H. Hennig,et al.  SpikeInterface, a unified framework for spike sorting , 2019, bioRxiv.

[11]  Gene W. Yeo,et al.  Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development. , 2019, Cell stem cell.

[12]  Rona S. Gertner,et al.  A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons , 2019, Nature Biomedical Engineering.

[13]  M. Gerstein,et al.  A Single-Cell Transcriptomic Atlas of Human Neocortical Development during Mid-gestation , 2019, Neuron.

[14]  J. Takahashi,et al.  Self-Organized Synchronous Calcium Transients in a Cultured Human Neural Network Derived from Cerebral Organoids , 2019, Stem cell reports.

[15]  G. Buzsáki The Brain from Inside Out , 2019 .

[16]  S. Haggarty,et al.  A farnesyltransferase inhibitor activates lysosomes and reduces tau pathology in mice with tauopathy , 2019, Science Translational Medicine.

[17]  Christoph Hafemeister,et al.  Comprehensive integration of single cell data , 2018, bioRxiv.

[18]  John X. Morris,et al.  Human fibroblast and stem cell resource from the Dominantly Inherited Alzheimer Network , 2018, Alzheimer's Research & Therapy.

[19]  Laura Masullo,et al.  Cerebral organoids at the air-liquid interface generate diverse nerve tracts with functional output , 2018, Nature Neuroscience.

[20]  Zev J. Gartner,et al.  DoubletFinder: Doublet detection in single-cell RNA sequencing data using artificial nearest neighbors , 2018, bioRxiv.

[21]  Paul Hoffman,et al.  Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.

[22]  Sergey L. Gratiy,et al.  Fully integrated silicon probes for high-density recording of neural activity , 2017, Nature.

[23]  Lorenz Pammer,et al.  Large-scale mapping of cortical synaptic projections with extracellular electrode arrays , 2017, Nature Methods.

[24]  Jonathan A. Bernstein,et al.  Assembly of functionally integrated human forebrain spheroids , 2017, Nature.

[25]  Daniel R. Berger,et al.  Cell diversity and network dynamics in photosensitive human brain organoids , 2017, Nature.

[26]  David Jäckel,et al.  Combination of High-density Microelectrode Array and Patch Clamp Recordings to Enable Studies of Multisynaptic Integration , 2017, Scientific Reports.

[27]  P. Arlotta,et al.  The promises and challenges of human brain organoids as models of neuropsychiatric disease , 2016, Nature Medicine.

[28]  Matteo Carandini,et al.  Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels , 2016, bioRxiv.

[29]  Yutaka Sakai,et al.  Similarity in Neuronal Firing Regimes across Mammalian Species , 2016, The Journal of Neuroscience.

[30]  David W. Nauen,et al.  Brain-Region-Specific Organoids Using Mini-bioreactors for Modeling ZIKV Exposure , 2016, Cell.

[31]  K. Deisseroth,et al.  Prefrontal Parvalbumin Neurons in Control of Attention , 2016, Cell.

[32]  M. Gerstein,et al.  FOXG1-Dependent Dysregulation of GABA/Glutamate Neuron Differentiation in Autism Spectrum Disorders , 2015, Cell.

[33]  D. Geschwind,et al.  Functional cortical neurons and astrocytes from human pluripotent stem cells in 3D culture , 2015, Nature Methods.

[34]  R. Knight,et al.  Dynamic Network Communication as a Unifying Neural Basis for Cognition, Development, Aging, and Disease , 2015, Biological Psychiatry.

[35]  Antoine Adamantidis,et al.  Parvalbumin Interneurons of Hippocampus Tune Population Activity at Theta Frequency , 2015, Neuron.

[36]  Evan Z. Macosko,et al.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets , 2015, Cell.

[37]  Catherine J. Harmer,et al.  Effects of seven-day diazepam administration on resting-state functional connectivity in healthy volunteers: a randomized, double-blind study , 2014, Psychopharmacology.

[38]  Vijay Viswam,et al.  A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro , 2014, IEEE Journal of Solid-State Circuits.

[39]  David W. Nauen,et al.  Synaptic dysregulation in a human iPS cell model of mental disorders , 2014, Nature.

[40]  Peter Jonas,et al.  Fast-spiking, parvalbumin+ GABAergic interneurons: From cellular design to microcircuit function , 2014, Science.

[41]  Stephen J Eglen,et al.  Detecting Pairwise Correlations in Spike Trains: An Objective Comparison of Methods and Application to the Study of Retinal Waves , 2014, The Journal of Neuroscience.

[42]  N. Logothetis,et al.  Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms , 2013, Neuron.

[43]  Karl J. Friston,et al.  Broadband Cortical Desynchronization Underlies the Human Psychedelic State , 2013, The Journal of Neuroscience.

[44]  Madeline A. Lancaster,et al.  Cerebral organoids model human brain development and microcephaly , 2013, Nature.

[45]  L. Colgin Mechanisms and functions of theta rhythms. , 2013, Annual review of neuroscience.

[46]  C. Koch,et al.  The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes , 2012, Nature Reviews Neuroscience.

[47]  O. de Weck,et al.  Overview of metrics and their correlation patterns for multiple-metric topology analysis on heterogeneous graph ensembles. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[48]  A. Treves,et al.  Theta-paced flickering between place-cell maps in the hippocampus , 2011, Nature.

[49]  Daniel N Hill,et al.  Quality Metrics to Accompany Spike Sorting of Extracellular Signals , 2011, The Journal of Neuroscience.

[50]  Christof Koch,et al.  Ephaptic coupling of cortical neurons , 2011, Nature Neuroscience.

[51]  B. Antkowiak,et al.  Diazepam Decreases Action Potential Firing of Neocortical Neurons via Two Distinct Mechanisms , 2010, Anesthesia and analgesia.

[52]  H. Eichenbaum,et al.  Measuring phase-amplitude coupling between neuronal oscillations of different frequencies. , 2010, Journal of neurophysiology.

[53]  Andreas Hierlemann,et al.  Switch-Matrix-Based High-Density Microelectrode Array in CMOS Technology , 2010, IEEE Journal of Solid-State Circuits.

[54]  M. Feller,et al.  Mechanisms underlying spontaneous patterned activity in developing neural circuits , 2010, Nature Reviews Neuroscience.

[55]  N. Logothetis,et al.  Frequency-Band Coupling in Surface EEG Reflects Spiking Activity in Monkey Visual Cortex , 2009, Neuron.

[56]  G. Buzsáki,et al.  Theta Oscillations Provide Temporal Windows for Local Circuit Computation in the Entorhinal-Hippocampal Loop , 2009, Neuron.

[57]  Philipp Berens,et al.  CircStat: AMATLABToolbox for Circular Statistics , 2009, Journal of Statistical Software.

[58]  D. Plenz,et al.  Spontaneous cortical activity in awake monkeys composed of neuronal avalanches , 2009, Proceedings of the National Academy of Sciences.

[59]  K. Deisseroth,et al.  Parvalbumin neurons and gamma rhythms enhance cortical circuit performance , 2009, Nature.

[60]  C. Petersen,et al.  The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex , 2009, Neuron.

[61]  T. Hafting,et al.  Hippocampus-independent phase precession in entorhinal grid cells , 2008, Nature.

[62]  M. Berger,et al.  Mapping functional connectivity in patients with brain lesions , 2008, Annals of neurology.

[63]  H. Bönisch [The pharmacology of benzodiazepines]. , 2007, Pharmazie in unserer Zeit.

[64]  E. Bullmore,et al.  Adaptive reconfiguration of fractal small-world human brain functional networks , 2006, Proceedings of the National Academy of Sciences.

[65]  Sen Song,et al.  Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits , 2005, PLoS biology.

[66]  M. Hallett,et al.  Identifying true brain interaction from EEG data using the imaginary part of coherency , 2004, Clinical Neurophysiology.

[67]  A. Coenen,et al.  Effects of diazepam and zolpidem on EEG beta frequencies are behavior-specific in rats , 2004, Neuropharmacology.

[68]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[69]  G. Buzsáki,et al.  Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. , 2004, Journal of neurophysiology.

[70]  Julie Carrier,et al.  Sleep EEG power spectra, insomnia, and chronic use of benzodiazepines. , 2003, Sleep.

[71]  P. Somogyi,et al.  Brain-state- and cell-type-specific firing of hippocampal interneurons in vivo , 2003, Nature.

[72]  D. Nutt,et al.  New insights into the role of the GABAA–benzodiazepine receptor in psychiatric disorder , 2001, British Journal of Psychiatry.

[73]  Steve M. Potter,et al.  A new approach to neural cell culture for long-term studies , 2001, Journal of Neuroscience Methods.

[74]  J. Amin,et al.  Benzodiazepines act on GABAA receptors via two distinct and separable mechanisms , 2000, Nature Neuroscience.

[75]  Charles J. Wilson,et al.  Intrinsic Membrane Properties Underlying Spontaneous Tonic Firing in Neostriatal Cholinergic Interneurons , 2000, The Journal of Neuroscience.

[76]  M. J. Friedlander,et al.  The time course and amplitude of EPSPs evoked at synapses between pairs of CA3/CA1 neurons in the hippocampal slice , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[77]  Robert K. S. Wong,et al.  Latent synaptic pathways revealed after tetanic stimulation in the hippocampus , 1987, Nature.

[78]  S. Paul,et al.  Receptors for the age of anxiety: pharmacology of the benzodiazepines. , 1980, Science.

[79]  L. Nadel,et al.  Précis of O'Keefe & Nadel's The hippocampus as a cognitive map , 1979, Behavioral and Brain Sciences.

[80]  H. Akaike A new look at the statistical model identification , 1974 .

[81]  B. Katz,et al.  An analysis of the end‐plate potential recorded with an intra‐cellular electrode , 1951, The Journal of physiology.