Connectomic comparison of mouse and human cortex

The human cerebral cortex houses 1000 times more neurons than that of the cerebral cortex of a mouse, but the possible differences in synaptic circuits between these species are still poorly understood. We used three-dimensional electron microscopy of mouse, macaque, and human cortical samples to study their cell type composition and synaptic circuit architecture. The 2.5-fold increase in interneurons in humans compared with mice was compensated by a change in axonal connection probabilities and therefore did not yield a commensurate increase in inhibitory-versus-excitatory synaptic input balance on human pyramidal cells. Rather, increased inhibition created an expanded interneuron-to-interneuron network, driven by an expansion of interneuron-targeting interneuron types and an increase in their synaptic selectivity for interneuron innervation. These constitute key neuronal network alterations in the human cortex. Description The difference between human and mouse Over the past few decades, the mouse has become a model organism for brain research. Because of the close evolutionary similarity of ion channels, synaptic receptors, and other key molecular constituents of the brain to that of humans, corresponding similarity has been assumed for cortical neuronal circuits. However, comparative synaptic-resolution connectomic studies are required to determine the degree to which circuit structure has evolved between species. Using three-dimensional electron microscopy, Loomba et al. compared mouse and human/macaque cortex synaptic connectivity. Although human cells are much larger compared with mouse neurons and are more numerous, on average, they do not receive more synapses. And, even though there are three times more interneurons in the human cortex than in the mouse, the excitation-to-inhibition ratio is similar between the species. —PRS Three-dimensional electron microscopy of mouse, macaque, and human brain samples elucidates cell type composition and synaptic circuit architecture. INTRODUCTION The analysis of the human brain is a central goal of neuroscience, but for methodological reasons, research has focused on model organisms, the mouse in particular. Because substantial homology was found at the level of ion channels, transcriptional programs, and basic neuronal types, a strong similarity of neuronal circuits across species has also been assumed. However, a rigorous test of the configuration of local neuronal circuitry in mouse versus human—in particular, in the gray matter of the cerebral cortex—is missing. The about 1000-fold increase in number of neurons is the most obvious evolutionary change of neuronal network properties from mouse to human. Whether the structure of the local cortical circuitry has changed as well is, however, unclear. Recent data from transcriptomic analyses has indicated an increase in the proportion of inhibitory interneurons from mouse to human. But what the effect of such a change is on the circuit configurations found in the human cerebral cortex is not known. This is, however, of particular interest also to the study of neuropsychiatric disorders because in these, the alteration of inhibitory-to-excitatory synaptic balance has been identified as one possible mechanistic underpinning. RATIONALE We used recent methodological improvements in connectomics to acquire data from one macaque and two human individuals, using biopsies of the temporal, parietal, and frontal cortex. Human tissue was obtained from neurosurgical interventions related to tumor removal, in which access path tissue was harvested that was not primarily affected by the underlying disease. A key concern in the analysis of human patient tissue has been the relation to epilepsy surgery, when the underlying disease has required often year-long treatment with pharmaceuticals, plausibly altering synaptic connectivity. Therefore, the analysis of nonepileptic surgery tissue seemed of particular importance. We also included data from one macaque individual, who was not known to have any brain-related pathology. RESULTS We acquired three-dimensional electron microscopy data from temporal and frontal cortex of human and temporal and parietal cortex of macaque. From these, we obtained connectomic reconstructions and compared these with five connectomes from mouse cortex. On the basis of these data, we were able to determine the effect of the about 2.5-fold expansion of the interneuron pool in macaque and human cortex compared with that of mouse. Contrary to expectation, the inhibitory-to-excitatory synaptic balance on pyramidal neurons in macaque and human cortex was not substantially altered. Rather, the interneuron pool was selectively expanded for bipolar-type interneurons, which prefer the innervation of other interneurons, and which further increased their preference for interneuron innervation from mouse to human. These changes were each multifold, yielding in effect an about 10-fold expanded interneuron-to-interneuron network in the human cortex that is only sparsely present in mouse. The total amount of synaptic input to pyramidal neurons, however, did not change according to the threefold thickening of the cortex; rather, a modest increase from about 12,000 synaptic inputs in mouse to about 15,000 in human was found. CONCLUSION The principal cells of the cerebral cortex, pyramidal neurons, maintain almost constant inhibitory-to-excitatory input balance and total synaptic input across 100 million years of evolutionary divergence, which is particularly noteworthy with the concomitant 1000-fold expansion of the neuronal network size and the 2.5-fold increase of inhibitory interneurons from mouse to human. Rather, the key network change from mouse to human is an expansion of almost an order of magnitude of an interneuron-to-interneuron network that is virtually absent in mouse but constitutes a substantial part of the human cortical network. Whether this new network is primarily created through the expansion of existing neuronal types, or is related to the creation of new interneuron subtypes, requires further study. The discovery of this network component in human cortex encourages detailed analysis of its function in health and disease. Connectomic screening across mammalian species: Comparison of five mouse, two macaque, and two human connectomic datasets from the cerebral cortex. (A) Automated reconstructions of all neurons with their cell bodies in the volume shown, using random colors. The analyzed connectomes comprised a total of ~1.6 million synapses. Arrows indicate evolutionary divergence: the last common ancestor between human and mouse, approximately 100 million years ago, and the last common ancestor between human and macaque, about 20 million years ago. (B) Illustration of the about 10-fold expansion of the interneuron-to-interneuron network from mouse to human.

[1]  P. Somogyi,et al.  Differential effects of group III metabotropic glutamate receptors on spontaneous inhibitory synaptic currents in spine-innervating double bouquet and parvalbumin-expressing dendrite-targeting GABAergic interneurons in human neocortex , 2022, bioRxiv.

[2]  P. Somogyi,et al.  Tonic GABAA Receptor-Mediated Currents of Human Cortical GABAergic Interneurons Vary Amongst Cell Types , 2021, The Journal of Neuroscience.

[3]  Brian R. Lee,et al.  Human neocortical expansion involves glutamatergic neuron diversification , 2021, Nature.

[4]  Evan Z. Macosko,et al.  Comparative cellular analysis of motor cortex in human, marmoset and mouse , 2021, Nature.

[5]  David J. Freedman,et al.  Primate neuronal connections are sparse in cortex as compared to mouse. , 2021, Cell reports.

[6]  Peter H. Li,et al.  A connectomic study of a petascale fragment of human cerebral cortex , 2021, bioRxiv.

[7]  J. DeFelipe,et al.  Three-Dimensional Synaptic Organization of Layer III of the Human Temporal Neocortex , 2021, bioRxiv.

[8]  D. Fitzpatrick,et al.  Cortical response selectivity derives from strength in numbers of synapses , 2020, Nature.

[9]  M. Helmstaedter,et al.  Postnatal connectomic development of inhibition in mouse barrel cortex , 2020, Science.

[10]  David Kulp,et al.  Innovations present in the primate interneuron repertoire , 2020, Nature.

[11]  Jakob Straehle,et al.  All-trans retinoic acid induces synaptic plasticity in human cortical neurons , 2020, bioRxiv.

[12]  P. Roelfsema,et al.  A Quantitative Comparison of Inhibitory Interneuron Size and Distribution between Mouse and Macaque V1, Using Calcium-Binding Proteins , 2020, Cerebral cortex communications.

[13]  J. Lübke,et al.  Synaptic Organization of the Human Temporal Lobe Neocortex as Revealed by High-Resolution Transmission, Focused Ion Beam Scanning, and Electron Microscopic Tomography , 2020, International journal of molecular sciences.

[14]  J. DeFelipe,et al.  3D Ultrastructural Study of Synapses in the Human Entorhinal Cortex , 2020, bioRxiv.

[15]  Moritz Helmstaedter,et al.  Cell-type specific innervation of cortical pyramidal cells at their apical dendrites , 2020, eLife.

[16]  Terrence J. Sejnowski,et al.  Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks , 2020, Nature Neuroscience.

[17]  M. Larkum,et al.  Dendritic action potentials and computation in human layer 2/3 cortical neurons , 2020, Science.

[18]  G. Bi,et al.  Structure and plasticity of silent synapses in developing hippocampal neurons visualized by super-resolution imaging , 2019, Cell Discovery.

[19]  G. Tamás,et al.  Robust perisomatic GABAergic self-innervation inhibits basket cells in the human and mouse supragranular neocortex , 2019, bioRxiv.

[20]  Allan R. Jones,et al.  Conserved cell types with divergent features in human versus mouse cortex , 2019, Nature.

[21]  Wei-Chung Allen Lee,et al.  Dense neuronal reconstruction through X-ray holographic nano-tomography , 2019, bioRxiv.

[22]  M. Helmstaedter,et al.  Dense connectomic reconstruction in layer 4 of the somatosensory cortex , 2018, Science.

[23]  R. Yuste,et al.  Ultrastructural, Molecular and Functional Mapping of GABAergic Synapses on Dendritic Spines and Shafts of Neocortical Pyramidal Neurons. , 2018, Cerebral cortex.

[24]  Pascal Fua,et al.  The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1 , 2018, PloS one.

[25]  Moritz Helmstaedter,et al.  FluoEM, virtual labeling of axons in three-dimensional electron microscopy data for long-range connectomics , 2018, eLife.

[26]  Guy Eyal,et al.  Human Cortical Pyramidal Neurons: From Spines to Spikes via Models , 2018, bioRxiv.

[27]  Allan R. Jones,et al.  Shared and distinct transcriptomic cell types across neocortical areas , 2018, Nature.

[28]  M. Gerstein,et al.  Molecular and cellular reorganization of neural circuits in the human lineage , 2017, Science.

[29]  Richard H Scheuermann,et al.  Transcriptomic and morphophysiological evidence for a specialized human cortical GABAergic cell type , 2017, Nature Neuroscience.

[30]  M. Helmstaedter,et al.  Axonal synapse sorting in medial entorhinal cortex , 2017, Nature.

[31]  M. Medalla,et al.  Comparative ultrastructural features of excitatory synapses in the visual and frontal cortices of the adult mouse and monkey , 2017, The Journal of comparative neurology.

[32]  Philipp Otto,et al.  webKnossos: efficient online 3D data annotation for connectomics , 2017, Nature Methods.

[33]  H. Sebastian Seung,et al.  Superhuman Accuracy on the SNEMI3D Connectomics Challenge , 2017, ArXiv.

[34]  M. Medalla,et al.  Strength and Diversity of Inhibitory Signaling Differentiates Primate Anterior Cingulate from Lateral Prefrontal Cortex , 2017, The Journal of Neuroscience.

[35]  Winfried Denk,et al.  EM connectomics reveals axonal target variation in a sequence-generating network , 2017, eLife.

[36]  Jennifer I Luebke,et al.  Area‐Specific Features of Pyramidal Neurons—a Comparative Study in Mouse and Rhesus Monkey , 2016, Cerebral cortex.

[37]  S. Herculano‐Houzel,et al.  The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting , 2016, The Journal of comparative neurology.

[38]  G. Tamás,et al.  Plasticity in Single Axon Glutamatergic Connection to GABAergic Interneurons Regulates Complex Events in the Human Neocortex , 2016, PLoS biology.

[39]  Guy Eyal,et al.  Unique membrane properties and enhanced signal processing in human neocortical neurons , 2016, eLife.

[40]  F. Karube,et al.  The Diversity of Cortical Inhibitory Synapses , 2016, Front. Neural Circuits.

[41]  Andreas Lüthi,et al.  Disinhibition, a Circuit Mechanism for Associative Learning and Memory , 2015, Neuron.

[42]  Guy Eyal,et al.  Dendritic and Axonal Architecture of Individual Pyramidal Neurons across Layers of Adult Human Neocortex , 2015, Cerebral cortex.

[43]  M. Helmstaedter,et al.  Large-volume en-bloc staining for electron microscopy-based connectomics , 2015, Nature Communications.

[44]  Yun Wang,et al.  A Subtype of Inhibitory Interneuron with Intrinsic Persistent Activity in Human and Monkey Neocortex. , 2015, Cell reports.

[45]  A. L. Eberle,et al.  High-resolution, high-throughput imaging with a multibeam scanning electron microscope , 2015, Journal of microscopy.

[46]  Z. Petanjek,et al.  Neocortical calretinin neurons in primates: increase in proportion and microcircuitry structure , 2014, Front. Neuroanat..

[47]  David Grant Colburn Hildebrand,et al.  Imaging ATUM ultrathin section libraries with WaferMapper: a multi-scale approach to EM reconstruction of neural circuits , 2014, Front. Neural Circuits.

[48]  Michel A. Hofman,et al.  Evolution of the human brain: when bigger is better , 2014, Front. Neuroanat..

[49]  Rafael Yuste,et al.  Age-based comparison of human dendritic spine structure using complete three-dimensional reconstructions. , 2013, Cerebral cortex.

[50]  M. Scanziani,et al.  Inhibition of Inhibition in Visual Cortex: The Logic of Connections Between Molecularly Distinct Interneurons , 2013, Nature Neuroscience.

[51]  Johannes J. Letzkus,et al.  A disinhibitory microcircuit for associative fear learning in the auditory cortex , 2011, Nature.

[52]  Arno C. Schmitt,et al.  Inhibitory interneurons in a cortical column form hot zones of inhibition in layers 2 and 5A , 2011, Proceedings of the National Academy of Sciences.

[53]  S. Herculano‐Houzel The Human Brain in Numbers: A Linearly Scaled-up Primate Brain , 2009, Front. Hum. Neurosci..

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

[55]  H. Zoghbi,et al.  Failure of neuronal homeostasis results in common neuropsychiatric phenotypes , 2008, Nature.

[56]  Csaba Varga,et al.  Complex Events Initiated by Individual Spikes in the Human Cerebral Cortex , 2008, PLoS biology.

[57]  D. Melchitzky,et al.  Dendritic‐targeting GABA neurons in monkey prefrontal cortex: Comparison of somatostatin‐ and calretinin‐immunoreactive axon terminals , 2008, Synapse.

[58]  Satoru Kondo,et al.  Neocortical Inhibitory Terminals Innervate Dendritic Spines Targeted by Thalamocortical Afferents , 2007, The Journal of Neuroscience.

[59]  N. Kasthuri,et al.  Automating the Collection of Ultrathin Serial Sections for Large Volume TEM Reconstructions , 2006, Microscopy and Microanalysis.

[60]  Javier DeFelipe,et al.  Double bouquet cell in the human cerebral cortex and a comparison with other mammals , 2005, The Journal of comparative neurology.

[61]  J. Fiala,et al.  Dendritic spines disappear with chilling but proliferate excessively upon rewarming of mature hippocampus , 2004, Neuroscience.

[62]  W. Denk,et al.  Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure , 2004, PLoS biology.

[63]  J. Hornung,et al.  Distribution of GABA-containing neurons in human frontal cortex: a quantitative immunocytochemical study , 1994, Anatomy and Embryology.

[64]  T. Kosaka,et al.  Quantitative analysis of neurons and glial cells in the rat somatosensory cortex, with special reference to GABAergic neurons and parvalbumin-containing neurons , 2004, Experimental Brain Research.

[65]  M. Merzenich,et al.  Model of autism: increased ratio of excitation/inhibition in key neural systems , 2003, Genes, brain, and behavior.

[66]  Sudhir Kumar,et al.  Vertebrate Genomes Compared , 2002, Science.

[67]  P. Rakic,et al.  Origin of GABAergic neurons in the human neocortex , 2002, Nature.

[68]  J. DeFelipe,et al.  Microstructure of the neocortex: Comparative aspects , 2002, Journal of neurocytology.

[69]  R. Yuste,et al.  Cortical area and species differences in dendritic spine morphology , 2002, Journal of neurocytology.

[70]  Sudhir Kumar,et al.  Genomics. Vertebrate genomes compared. , 2002, Science.

[71]  G. Elston,et al.  The Pyramidal Cell in Cognition: A Comparative Study in Human and Monkey , 2001, The Journal of Neuroscience.

[72]  D. Lewis,et al.  Decreased dendritic spine density on prefrontal cortical pyramidal neurons in schizophrenia. , 2000, Archives of general psychiatry.

[73]  D. Lewis,et al.  Parvalbumin‐immunoreactive axon terminals in macaque monkey and human prefrontal cortex: Laminar, regional, and target specificity of type I and type II synapses , 1999, The Journal of comparative neurology.

[74]  J. Allman,et al.  A neuronal morphologic type unique to humans and great apes. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[75]  Prof. Dr. Dr. Valentino Braitenberg,et al.  Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.

[76]  Javier DeFelipe,et al.  Double bouquet cell axons in the human temporal neocortex: relationship to bundles of myelinated axons and colocalization of calretinin and calbindin D-28k immunoreactivities , 1997, Journal of Chemical Neuroanatomy.

[77]  M. C. Angulo,et al.  Molecular and Physiological Diversity of Cortical Nonpyramidal Cells , 1997, The Journal of Neuroscience.

[78]  J. DeFelipe,et al.  Altered synaptic circuitry in the human temporal neocortex removed from epileptic patients , 1997, Experimental Brain Research.

[79]  Kristina D. Micheva,et al.  Quantitative aspects of synaptogenesis in the rat barrel field cortex with special reference to GABA circuitry , 1996, The Journal of comparative neurology.

[80]  J. DeFelipe,et al.  Colocalization of calbindin D‐28k, calretinin, and GABA immunoreactivities in neurons of the human temporal cortex , 1996, The Journal of comparative neurology.

[81]  A. Konnerth,et al.  Long-term potentiation and functional synapse induction in developing hippocampus , 1996, Nature.

[82]  Y. Kubota,et al.  Physiological and morphological identification of somatostatin- or vasoactive intestinal polypeptide-containing cells among GABAergic cell subtypes in rat frontal cortex , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[83]  Paul Leonard Gabbott,et al.  Local circuit neurons in the medial prefrontal cortex (areas 24a,b,c, 25 and 32) in the monkey: I. Cell morphology and morphometrics , 1996, The Journal of comparative neurology.

[84]  J. DeFelipe,et al.  A light and electron microscopic study of calbindin D-28k immunoreactive double bouquet cells in the human temporal cortex , 1995, Brain Research.

[85]  K. Micheva,et al.  Postnatal Development of GABA Neurons in the Rat Somatosensory Barrel Cortex: A Quantitative Study , 1995, The European journal of neuroscience.

[86]  C. Beaulieu,et al.  Quantitative aspects of the GABA circuitry in the primary visual cortex of the adult rat , 1994, The Journal of comparative neurology.

[87]  P. Rakić,et al.  Changes of synaptic density in the primary visual cortex of the macaque monkey from fetal to adult stage , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[88]  M. Cynader,et al.  Quantitative distribution of GABA-immunopositive and -immunonegative neurons and synapses in the monkey striate cortex (area 17). , 1992, Cerebral cortex.

[89]  E. G. Jones,et al.  A microcolumnar structure of monkey cerebral cortex revealed by immunocytochemical studies of double bouquet cell axons , 1990, Neuroscience.

[90]  M. Konishi,et al.  A circuit for detection of interaural time differences in the brain stem of the barn owl , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[91]  E. G. Jones,et al.  Synapses of double bouquet cells in monkey cerebral cortex visualized by calbindin immunoreactivity , 1989, Brain Research.

[92]  J. Morrison,et al.  Ultrastructural analysis of somatostatin‐immunoreactive neurons and synapses in the temporal and occipital cortex of the macaque monkey , 1989, The Journal of comparative neurology.

[93]  Alan Peters,et al.  Cellular components of the cerebral cortex , 1984 .

[94]  A. Cowey,et al.  The axo-axonic interneuron in the cerebral cortex of the rat, cat and monkey , 1982, Neuroscience.

[95]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[96]  A. Cowey,et al.  Combined golgi and electron microscopic study on the synapses formed by double bouquet cells in the visual cortex of the cat and monkey , 1981, The Journal of comparative neurology.

[97]  B. Efron Bootstrap Methods: Another Look at the Jackknife , 1979 .

[98]  B. Cragg Ultrastructural features of human cerebral cortex. , 1976, Journal of anatomy.