Literature DB >> 10971014

Taking the measure of diversity: comparative alternatives to the model-animal paradigm in cortical neuroscience.

T M Preuss1.   

Abstract

Cortical neuroscience is founded on studies of a very few model organisms, mainly rats, cats, and macaque monkeys. The concentration of effort on such a few species would be defensible if cortical organization were basically uniform across mammals, as is commonly believed. Although there is little reason to doubt that some features of cortical organization are indeed widespread among mammals, phyletic variation in cortical organization is far more extensive than has generally been appreciated or acknowledged. Rats, for example, differ from other mammals in the genetics and chemistry of their cortical neurons, in connectivity and areal organization, and in the functions of specific cortical regions. Likewise, macaque monkeys, although widely used as models of the human visual system, lack a number of features found in human visual cortex. Given the variability of cortical organization, how should neuroscientists approach the study of nonhuman species, and what can we reasonably expect to learn from them? First, by examining a wider range of species than are currently employed, and by using modern techniques of phyletic analysis, neuroscientists can more rigorously identify those features of cortical organization that are, in fact, widely shared among mammals or among particular mammalian subgroups. Second, by taking account of variations, neuroscientists can abstract more reliable and general principles of structure-function relationships in the nervous system. Finally, freed from the doctrine of basic uniformity, neuroscientists can pursue the study of human cortical specializations, and so advance our understanding of what distinguishes humans as a biological species. Copyright 2000 S. Karger AG, Basel

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Mesh:

Year:  2000        PMID: 10971014     DOI: 10.1159/000006664

Source DB:  PubMed          Journal:  Brain Behav Evol        ISSN: 0006-8977            Impact factor:   1.808


  25 in total

Review 1.  The future of mapping sensory cortex in primates: three of many remaining issues.

Authors:  Jon H Kaas
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-04-29       Impact factor: 6.237

Review 2.  Explaining human uniqueness: genome interactions with environment, behaviour and culture.

Authors:  Ajit Varki; Daniel H Geschwind; Evan E Eichler
Journal:  Nat Rev Genet       Date:  2008-10       Impact factor: 53.242

3.  A comparative analysis of mouse and human medial geniculate nucleus connectivity: a DTI and anterograde tracing study.

Authors:  Orion P Keifer; David A Gutman; Erin E Hecht; Shella D Keilholz; Kerry J Ressler
Journal:  Neuroimage       Date:  2014-10-23       Impact factor: 6.556

4.  Information processing architecture of functionally defined clusters in the macaque cortex.

Authors:  Kelly Shen; Gleb Bezgin; R Matthew Hutchison; Joseph S Gati; Ravi S Menon; Stefan Everling; Anthony R McIntosh
Journal:  J Neurosci       Date:  2012-11-28       Impact factor: 6.167

Review 5.  The marmoset monkey as a model for visual neuroscience.

Authors:  Jude F Mitchell; David A Leopold
Journal:  Neurosci Res       Date:  2015-02-13       Impact factor: 3.304

Review 6.  Critique of Pure Marmoset.

Authors:  Todd M Preuss
Journal:  Brain Behav Evol       Date:  2019-08-15       Impact factor: 1.808

7.  What studies of macaque monkeys have told us about human color vision.

Authors:  G D Horwitz
Journal:  Neuroscience       Date:  2014-10-17       Impact factor: 3.590

8.  Early Developmental Trajectories of Functional Connectivity Along the Visual Pathways in Rhesus Monkeys.

Authors:  Z Kovacs-Balint; E Feczko; M Pincus; E Earl; O Miranda-Dominguez; B Howell; E Morin; E Maltbie; L Li; J Steele; M Styner; J Bachevalier; D Fair; M Sanchez
Journal:  Cereb Cortex       Date:  2019-07-22       Impact factor: 5.357

Review 9.  The relevance of brain evolution for the biomedical sciences.

Authors:  Tom V Smulders
Journal:  Biol Lett       Date:  2009-02-23       Impact factor: 3.703

Review 10.  How good is the macaque monkey model of the human brain?

Authors:  Richard Passingham
Journal:  Curr Opin Neurobiol       Date:  2009-03-02       Impact factor: 6.627

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