Literature DB >> 18689685

The basic nonuniformity of the cerebral cortex.

Suzana Herculano-Houzel1, Christine E Collins, Peiyan Wong, Jon H Kaas, Roberto Lent.   

Abstract

Evolutionary changes in the size of the cerebral cortex, a columnar structure, often occur through the addition or subtraction of columnar modules with the same number of neurons underneath a unit area of cortical surface. This view is based on the work of Rockel et al. [Rockel AJ, Hiorns RW, Powell TP (1980) The basic uniformity in structure of the neocortex. Brain 103:221-244], who found a steady number of approximately 110 neurons underneath a surface area of 750 microm(2) (147,000 underneath 1 mm(2)) of the cerebral cortex of five species from different mammalian orders. These results have since been either corroborated or disputed by different groups. Here, we show that the number of neurons underneath 1 mm(2) of the cerebral cortical surface of nine primate species and the closely related Tupaia sp. is not constant and varies by three times across species. We found that cortical thickness is not inversely proportional to neuronal density across species and that total cortical surface area increases more slowly than, rather than linearly with, the number of neurons underneath it. The number of neurons beneath a unit area of cortical surface varies linearly with neuronal density, a parameter that is neither related to cortical size nor total number of neurons. Our finding of a variable number of neurons underneath a unit area of the cerebral cortex across primate species indicates that models of cortical organization cannot assume that cortical columns in different primates consist of invariant numbers of neurons.

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Year:  2008        PMID: 18689685      PMCID: PMC2527956          DOI: 10.1073/pnas.0805417105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  24 in total

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Authors:  K Zhang; T J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

8.  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).

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Authors:  A J Rockel; R W Hiorns; T P Powell
Journal:  Brain       Date:  1980-06       Impact factor: 13.501

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  51 in total

1.  Faster scaling of visual neurons in cortical areas relative to subcortical structures in non-human primate brains.

Authors:  C E Collins; D B Leitch; P Wong; J H Kaas; Suzana Herculano-Houzel
Journal:  Brain Struct Funct       Date:  2012-06-09       Impact factor: 3.270

2.  Neuron densities vary across and within cortical areas in primates.

Authors:  Christine E Collins; David C Airey; Nicole A Young; Duncan B Leitch; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-23       Impact factor: 11.205

3.  Connectivity-driven white matter scaling and folding in primate cerebral cortex.

Authors:  Suzana Herculano-Houzel; Bruno Mota; Peiyan Wong; Jon H Kaas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-18       Impact factor: 11.205

Review 4.  The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost.

Authors:  Suzana Herculano-Houzel
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-20       Impact factor: 11.205

Review 5.  Canonical computations of cerebral cortex.

Authors:  Kenneth D Miller
Journal:  Curr Opin Neurobiol       Date:  2016-02-08       Impact factor: 6.627

Review 6.  Confusing cortical columns.

Authors:  Pasko Rakic
Journal:  Proc Natl Acad Sci U S A       Date:  2008-08-20       Impact factor: 11.205

7.  Scaling of topologically similar functional modules defines mouse primary auditory and somatosensory microcircuitry.

Authors:  Alexander J Sadovsky; Jason N MacLean
Journal:  J Neurosci       Date:  2013-08-28       Impact factor: 6.167

8.  Forced G1-phase reduction alters mode of division, neuron number, and laminar phenotype in the cerebral cortex.

Authors:  Louis-Jan Pilaz; Dorothée Patti; Guillaume Marcy; Edouard Ollier; Sabina Pfister; Rodney J Douglas; Marion Betizeau; Elodie Gautier; Veronique Cortay; Nathalie Doerflinger; Henry Kennedy; Colette Dehay
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-03       Impact factor: 11.205

9.  Cortical thickness or grey matter volume? The importance of selecting the phenotype for imaging genetics studies.

Authors:  Anderson M Winkler; Peter Kochunov; John Blangero; Laura Almasy; Karl Zilles; Peter T Fox; Ravindranath Duggirala; David C Glahn
Journal:  Neuroimage       Date:  2009-12-16       Impact factor: 6.556

10.  Optimal hierarchical modular topologies for producing limited sustained activation of neural networks.

Authors:  Marcus Kaiser; Claus C Hilgetag
Journal:  Front Neuroinform       Date:  2010-05-14       Impact factor: 4.081

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