Literature DB >> 26729880

Cortical cell and neuron density estimates in one chimpanzee hemisphere.

Christine E Collins1, Emily C Turner2, Eva Kille Sawyer3, Jamie L Reed2, Nicole A Young4, David K Flaherty5, Jon H Kaas6.   

Abstract

The density of cells and neurons in the neocortex of many mammals varies across cortical areas and regions. This variability is, perhaps, most pronounced in primates. Nonuniformity in the composition of cortex suggests regions of the cortex have different specializations. Specifically, regions with densely packed neurons contain smaller neurons that are activated by relatively few inputs, thereby preserving information, whereas regions that are less densely packed have larger neurons that have more integrative functions. Here we present the numbers of cells and neurons for 742 discrete locations across the neocortex in a chimpanzee. Using isotropic fractionation and flow fractionation methods for cell and neuron counts, we estimate that neocortex of one hemisphere contains 9.5 billion cells and 3.7 billion neurons. Primary visual cortex occupies 35 cm(2) of surface, 10% of the total, and contains 737 million densely packed neurons, 20% of the total neurons contained within the hemisphere. Other areas of high neuron packing include secondary visual areas, somatosensory cortex, and prefrontal granular cortex. Areas of low levels of neuron packing density include motor and premotor cortex. These values reflect those obtained from more limited samples of cortex in humans and other primates.

Entities:  

Keywords:  flow fractionator; isotropic fractionator; neuron density; primate neocortex; visual cortex

Mesh:

Year:  2016        PMID: 26729880      PMCID: PMC4725503          DOI: 10.1073/pnas.1524208113

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


  43 in total

1.  Evidence for a modified V3 with dorsal and ventral halves in macaque monkeys.

Authors:  David C Lyon; Jon H Kaas
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Cortical parcellations of the macaque monkey analyzed on surface-based atlases.

Authors:  David C Van Essen; Matthew F Glasser; Donna L Dierker; John Harwell
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3.  Comparative cytoarchitectural analyses of striate and extrastriate areas in hominoids.

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Journal:  Cereb Cortex       Date:  2009-09-23       Impact factor: 5.357

4.  Cell-cycle kinetics of neocortical precursors are influenced by embryonic thalamic axons.

Authors:  C Dehay; P Savatier; V Cortay; H Kennedy
Journal:  J Neurosci       Date:  2001-01-01       Impact factor: 6.167

5.  Prefrontal cortex in humans and apes: a comparative study of area 10.

Authors:  K Semendeferi; E Armstrong; A Schleicher; K Zilles; G W Van Hoesen
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6.  Number of neurons in individual laminae of areas 3B, 4 gamma, and 6a alpha of the cat cerebral cortex: a comparison with major visual areas.

Authors:  C Beaulieu; M Colonnier
Journal:  J Comp Neurol       Date:  1989-01-08       Impact factor: 3.215

7.  Quantitative architecture distinguishes prefrontal cortical systems in the rhesus monkey.

Authors:  S M Dombrowski; C C Hilgetag; H Barbas
Journal:  Cereb Cortex       Date:  2001-10       Impact factor: 5.357

8.  Heterogeneity in the columnar number of neurons in different neocortical areas in the rat.

Authors:  T S Skoglund; R Pascher; C H Berthold
Journal:  Neurosci Lett       Date:  1996-04-19       Impact factor: 3.046

9.  Three counting methods agree on cell and neuron number in chimpanzee primary visual cortex.

Authors:  Daniel J Miller; Pooja Balaram; Nicole A Young; Jon H Kaas
Journal:  Front Neuroanat       Date:  2014-05-16       Impact factor: 3.856

10.  Use of flow cytometry for high-throughput cell population estimates in brain tissue.

Authors:  Nicole A Young; David K Flaherty; David C Airey; Peter Varlan; Feyi Aworunse; Jon H Kaas; Christine E Collins
Journal:  Front Neuroanat       Date:  2012-07-11       Impact factor: 3.856

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2.  The frequency of alpha oscillations: Task-dependent modulation and its functional significance.

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Journal:  Neuroimage       Date:  2018-08-31       Impact factor: 6.556

3.  Stability of working memory in continuous attractor networks under the control of short-term plasticity.

Authors:  Alexander Seeholzer; Moritz Deger; Wulfram Gerstner
Journal:  PLoS Comput Biol       Date:  2019-04-19       Impact factor: 4.475

4.  No relative expansion of the number of prefrontal neurons in primate and human evolution.

Authors:  Mariana Gabi; Kleber Neves; Carolinne Masseron; Pedro F M Ribeiro; Lissa Ventura-Antunes; Laila Torres; Bruno Mota; Jon H Kaas; Suzana Herculano-Houzel
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-08       Impact factor: 11.205

5.  The distribution, number, and certain neurochemical identities of infracortical white matter neurons in a lar gibbon (Hylobates lar) brain.

Authors:  Jordan Swiegers; Adhil Bhagwandin; Chet C Sherwood; Mads F Bertelsen; Busisiwe C Maseko; Jason Hemingway; Kathleen S Rockland; Zoltán Molnár; Paul R Manger
Journal:  J Comp Neurol       Date:  2018-10-30       Impact factor: 3.215

Review 6.  The evolution of brain structure captured in stereotyped cell count and cell type distributions.

Authors:  Pavel Němec; Pavel Osten
Journal:  Curr Opin Neurobiol       Date:  2020-01-14       Impact factor: 6.627

7.  A Large-Scale High-Density Weighted Structural Connectome of the Macaque Brain Acquired by Predicting Missing Links.

Authors:  Yuhan Chen; Zi-Ke Zhang; Yong He; Changsong Zhou
Journal:  Cereb Cortex       Date:  2020-07-30       Impact factor: 5.357

8.  Postnatal Development of Glutamate and GABA Transcript Expression in Monkey Visual, Parietal, and Prefrontal Cortices.

Authors:  Gil D Hoftman; H Holly Bazmi; Andrew J Ciesielski; Liban A Dinka; Kehui Chen; David A Lewis
Journal:  Cereb Cortex       Date:  2021-03-05       Impact factor: 5.357

9.  Distinct Laminar and Cellular Patterns of GABA Neuron Transcript Expression in Monkey Prefrontal and Visual Cortices.

Authors:  Samuel J Dienel; Andrew J Ciesielski; Holly H Bazmi; Elizabeth A Profozich; Kenneth N Fish; David A Lewis
Journal:  Cereb Cortex       Date:  2021-03-31       Impact factor: 5.357

10.  Brain size and neuron numbers drive differences in yawn duration across mammals and birds.

Authors:  Jorg J M Massen; Margarita Hartlieb; Jordan S Martin; Elisabeth B Leitgeb; Jasmin Hockl; Martin Kocourek; Seweryn Olkowicz; Yicheng Zhang; Christin Osadnik; Jorrit W Verkleij; Thomas Bugnyar; Pavel Němec; Andrew C Gallup
Journal:  Commun Biol       Date:  2021-05-06
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