All brains are made of this: a fundamental building block of brain matter with matching neuronal and glial masses

How does the size of the glial and neuronal cells that compose brain tissue vary across brain structures and species? Our previous studies indicate that average neuronal size is highly variable, while average glial cell size is more constant. Measuring whole cell sizes in vivo, however, is a daunting task. Here we use chi-square minimization of the relationship between measured neuronal and glial cell densities in the cerebral cortex, cerebellum, and rest of brain in 27 mammalian species to model neuronal and glial cell mass, as well as the neuronal mass fraction of the tissue (the fraction of tissue mass composed by neurons). Our model shows that while average neuronal cell mass varies by over 500-fold across brain structures and species, average glial cell mass varies only 1.4-fold. Neuronal mass fraction varies typically between 0.6 and 0.8 in all structures. Remarkably, we show that two fundamental, universal relationships apply across all brain structures and species: (1) the glia/neuron ratio varies with the total neuronal mass in the tissue (which in turn depends on variations in average neuronal cell mass), and (2) the neuronal mass per glial cell, and with it the neuronal mass fraction and neuron/glia mass ratio, varies with average glial cell mass in the tissue. We propose that there is a fundamental building block of brain tissue: the glial mass that accompanies a unit of neuronal mass. We argue that the scaling of this glial mass is a consequence of a universal mechanism whereby numbers of glial cells are added to the neuronal parenchyma during development, irrespective of whether the neurons composing it are large or small, but depending on the average mass of the glial cells being added. We also show how evolutionary variations in neuronal cell mass, glial cell mass and number of neurons suffice to determine the most basic characteristics of brain structures, such as mass, glia/neuron ratio, neuron/glia mass ratio, and cell densities.

[1]  S. W. Kuffler,et al.  Physiological properties of glial cells in the central nervous system of amphibia. , 1966, Journal of neurophysiology.

[2]  R. J. Mullen,et al.  NeuN, a neuronal specific nuclear protein in vertebrates. , 1992, Development.

[3]  S. Herculano‐Houzel Scaling of Brain Metabolism with a Fixed Energy Budget per Neuron: Implications for Neuronal Activity, Plasticity and Evolution , 2011, PloS one.

[4]  Mark Ellisman,et al.  Protoplasmic Astrocytes in CA1 Stratum Radiatum Occupy Separate Anatomical Domains , 2002, The Journal of Neuroscience.

[5]  J. Kaas,et al.  Cellular Scaling Rules for the Brains of an Extended Number of Primate Species , 2010, Brain, Behavior and Evolution.

[6]  H. Hirase,et al.  In Vivo Intracellular Recording Suggests That Gray Matter Astrocytes in Mature Cerebral Cortex and Hippocampus Are Electrophysiologically Homogeneous , 2010, The Journal of Neuroscience.

[7]  Kleber Neves,et al.  The elephant brain in numbers , 2014, Front. Neuroanat..

[8]  Diana K. Sarko,et al.  Neuroanatomy Original Research Article Cellular Scaling Rules of Insectivore Brains , 2022 .

[9]  L. Doering,et al.  Astrocytes Prevent Abnormal Neuronal Development in the Fragile X Mouse , 2010, The Journal of Neuroscience.

[10]  B. Pakkenberg,et al.  Neocortical glial cell numbers in human brains , 2008, Neurobiology of Aging.

[11]  S. Goldring,et al.  Glial membrane potentials and their relationship to [K+]o in man and guinea pig. A comparative study of intracellularly marked normal, reactive, and neoplastic glia. , 1981, Journal of neurosurgery.

[12]  D. B. Tower,et al.  THE ACTIVITIES OF BUTYRYLCHOLINESTERASE AND CARBONIC ANHYDRASE, THE RATE OF ANAEROBIC GLYCOLYSTS, AND THE QUESTION OF A CONSTANT DENSITY OF GLIAL CELLS IN CEREBRAL CORTICES OF VARIOUS MAMMALIAN SPECIES FROM MOUSE TO WHALE , 1973, Journal of neurochemistry.

[13]  Andreas Reichenbach,et al.  Size and density of glial and neuronal cells within the cerebral neocortex of various insectivorian species , 1989, Glia.

[14]  Pavel A Pevzner,et al.  Mammalian phylogenomics comes of age. , 2004, Trends in genetics : TIG.

[15]  J. Bahney,et al.  Validation of the isotropic fractionator: Comparison with unbiased stereology and DNA extraction for quantification of glial cells , 2014, Journal of Neuroscience Methods.

[16]  W. Walz,et al.  Controversy surrounding the existence of discrete functional classes of astrocytes in adult gray matter , 2000, Glia.

[17]  A. Reichenbach Glia:Neuron index: Review and hypothesis to account for different values in various mammals , 1989, Glia.

[18]  W. Lange,et al.  Cell number and cell density in the cerebellar cortex of man and some other mammals , 2004, Cell and Tissue Research.

[19]  S. Herculano‐Houzel,et al.  Cellular scaling rules for the brain of afrotherians , 2014, Front. Neuroanat..

[20]  Nanhong Lou,et al.  General anesthesia selectively disrupts astrocyte calcium signaling in the awake mouse cortex , 2012, Proceedings of the National Academy of Sciences.

[21]  Paul Manger,et al.  Pyramidal cells in V1 of African rodents are bigger, more branched and more spiny than those in primates , 2013, Front. Neuroanat..

[22]  J. Kaas,et al.  Cellular scaling rules for primate brains , 2007, Proceedings of the National Academy of Sciences.

[23]  Pierre J. Magistretti,et al.  Oligodendroglia metabolically support axons and contribute to neurodegeneration , 2012, Nature.

[24]  Suzana Herculano-Houzel,et al.  The glia/neuron ratio: How it varies uniformly across brain structures and species and what that means for brain physiology and evolution , 2014, Glia.

[25]  R G Shulman,et al.  Energy on Demand , 1999, Science.

[26]  Hynek Wichterle,et al.  Astrocytes expressing ALS-linked mutated SOD1 release factors selectively toxic to motor neurons , 2007, Nature Neuroscience.

[27]  H. Chernoff,et al.  The Use of Maximum Likelihood Estimates in {\chi^2} Tests for Goodness of Fit , 1954 .

[28]  K. Brizzee,et al.  Postnatal Changes in Glia/Neuron Index with a Comparison of Methods of Cell Enumeration in the White Rat , 1964 .

[29]  D. Kleinfeld,et al.  Correlations of Neuronal and Microvascular Densities in Murine Cortex Revealed by Direct Counting and Colocalization of Nuclei and Vessels , 2009, The Journal of Neuroscience.

[30]  S. Herculano‐Houzel,et al.  Cellular scaling rules for rodent brains , 2006, Proceedings of the National Academy of Sciences.

[31]  Jon H. Kaas,et al.  Updated Neuronal Scaling Rules for the Brains of Glires (Rodents/Lagomorphs) , 2011, Brain, Behavior and Evolution.

[32]  J. Ojemann,et al.  Uniquely Hominid Features of Adult Human Astrocytes , 2009, The Journal of Neuroscience.

[33]  J. Kaas,et al.  Three counting methods agree on cell and neuron number in chimpanzee primary visual cortex , 2014, Front. Neuroanat..

[34]  C. Stevens,et al.  Structural uniformity of neocortex, revisited , 2013, Proceedings of the National Academy of Sciences.

[35]  Robert H Miller,et al.  Density-Dependent Feedback Inhibition of Oligodendrocyte Precursor Expansion , 1996, The Journal of Neuroscience.

[36]  B. Barres The Mystery and Magic of Glia: A Perspective on Their Roles in Health and Disease , 2008, Neuron.

[37]  T. Kosaka,et al.  Structural and quantitative analysis of astrocytes in the mouse hippocampus , 2002, Neuroscience.

[38]  Roberto Lent,et al.  Isotropic Fractionator: A Simple, Rapid Method for the Quantification of Total Cell and Neuron Numbers in the Brain , 2005, The Journal of Neuroscience.

[39]  J. Karbowski Scaling of Brain Metabolism and Blood Flow in Relation to Capillary and Neural Scaling , 2011, PloS one.

[40]  G. Palm,et al.  Density of neurons and synapses in the cerebral cortex of the mouse , 1989, The Journal of comparative neurology.

[41]  J. Wellner,et al.  Empirical Processes with Applications to Statistics , 2009 .

[42]  Michael M. Halassa,et al.  Synaptic Islands Defined by the Territory of a Single Astrocyte , 2007, The Journal of Neuroscience.

[43]  B. Cragg The density of synapses and neurones in the motor and visual areas of the cerebral cortex. , 1967, Journal of anatomy.

[44]  B. Barres,et al.  Control of synapse number by glia. , 2001, Science.

[45]  L. Garey Cortex: Statistics and Geometry of Neuronal Connectivity, 2nd edn. By V. BRAITENBERG and A. SCHÜZ. (Pp. xiii+249; 90 figures; ISBN 3 540 63816 4). Berlin: Springer. 1998. , 1999 .

[46]  Francis Cassot,et al.  Morphometry of the human cerebral cortex microcirculation: General characteristics and space-related profiles , 2008, NeuroImage.

[47]  M. Fukaya,et al.  Oligodendrocyte progenitors balance growth with self-repulsion to achieve homeostasis in the adult brain , 2013, Nature Neuroscience.

[48]  Suzana Herculano-Houzel,et al.  Not All Brains Are Made the Same: New Views on Brain Scaling in Evolution , 2011, Brain, Behavior and Evolution.

[49]  H Haug,et al.  Brain sizes, surfaces, and neuronal sizes of the cortex cerebri: a stereological investigation of man and his variability and a comparison with some mammals (primates, whales, marsupials, insectivores, and one elephant). , 1987, The American journal of anatomy.

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

[51]  Frederico A. C. Azevedo,et al.  Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled‐up primate brain , 2009, The Journal of comparative neurology.

[52]  S. Goldman,et al.  New roles for astrocytes: Redefining the functional architecture of the brain , 2003, Trends in Neurosciences.

[53]  H. Weiss,et al.  Alterations in perfused capillary morphometry in awake vs anesthetized brain , 1986, Brain Research.

[54]  R. Fields,et al.  New insights into neuron-glia communication. , 2002, Science.

[55]  S. Herculano‐Houzel,et al.  Changing numbers of neuronal and non-neuronal cells underlie postnatal brain growth in the rat , 2009, Proceedings of the National Academy of Sciences.

[56]  Paul J. Harrison,et al.  Neuronal density, size and shape in the human anterior cingulate cortex: a comparison of Nissl and NeuN staining , 2004, Brain Research Bulletin.