Literature DB >> 12927333

Nature versus nurture revisited: an old idea with a new twist.

Leah Krubitzer1, Dianna M Kahn.   

Abstract

The nature versus nurture debate has recently resurfaced with the emergence of the field of developmental molecular neurobiology. The questions associated with "nature" have crystallized into testable hypotheses regarding patterns of gene expression during development, and those associated with "nurture" have given over to activity-dependent cellular mechanisms that give rise to variable phenotypes in developing nervous systems. This review focuses on some of the features associated with complex brains and discusses the evolutionary and activity-dependent mechanisms that generate these features. These include increases in the size of the cortical sheet, changes in cortical domain and cortical field specification, and the activity-dependent intracellular mechanisms that regulate the structure and function of neurons during development. We discuss which features are likely to be genetically mediated, which features are likely to be regulated by activity, and how these two mechanisms act in concert to produce the wide variety of phenotypes observed for the mammalian neocortex. For example, the size of the cortical sheet is likely to be under genetic control, and regulation of cell-cycle kinetics through upregulation of genes such as beta-catenin can account for increases in the size of the cortical sheet. Similarly, intrinsic signaling genes or gene products such as Wnt, Shh, Fgf2, Fgf8 and BMP may set up a combinatorial coordinate system that guides thalamic afferents. Changes in peripheral morphology that regulate patterned activity are also likely to be under genetic control. Finally, the intracellular machinery that allows for activity-dependent plasticity in the developing CNS may be genetically regulated, although the specific phenotype they generate are not. On the other hand, aspects of neocortical organization such as sensory domain assignment, the size and shape of cortical fields, some aspects of connectivity, and details of functional organization are likely to be activity-dependent. Furthermore, the role of genes versus activity, and their interactions, may be different for primary fields versus non-primary fields.

Entities:  

Mesh:

Year:  2003        PMID: 12927333     DOI: 10.1016/s0301-0082(03)00088-1

Source DB:  PubMed          Journal:  Prog Neurobiol        ISSN: 0301-0082            Impact factor:   11.685


  29 in total

1.  Time course of embryonic midbrain and thalamic auditory connection development in mice as revealed by carbocyanine dye tracing.

Authors:  Bina Gurung; Bernd Fritzsch
Journal:  J Comp Neurol       Date:  2004-11-15       Impact factor: 3.215

Review 2.  CNS immune privilege: hiding in plain sight.

Authors:  Monica J Carson; Jonathan M Doose; Benoit Melchior; Christoph D Schmid; Corinne C Ploix
Journal:  Immunol Rev       Date:  2006-10       Impact factor: 12.988

Review 3.  Exploiting human anatomical variability as a link between genome and cognome.

Authors:  C M Leonard; M A Eckert; J M Kuldau
Journal:  Genes Brain Behav       Date:  2006       Impact factor: 3.449

4.  Non-random genomic divergence in repetitive sequences of human and chimpanzee in genes of different functional categories.

Authors:  Ravi Shankar; Amit Chaurasia; Biswaroop Ghosh; Dmitry Chekmenev; Evgeny Cheremushkin; Alexander Kel; Mitali Mukerji
Journal:  Mol Genet Genomics       Date:  2007-03-09       Impact factor: 3.291

Review 5.  Genetic regulation of arealization of the neocortex.

Authors:  Dennis Dm O'Leary; Setsuko Sahara
Journal:  Curr Opin Neurobiol       Date:  2008-06-02       Impact factor: 6.627

6.  Selective cell death of hyperploid neurons in Alzheimer's disease.

Authors:  Thomas Arendt; Martina K Brückner; Birgit Mosch; Andreas Lösche
Journal:  Am J Pathol       Date:  2010-05-14       Impact factor: 4.307

Review 7.  Reconstructing the areal organization of the neocortex of the first mammals.

Authors:  Jon H Kaas
Journal:  Brain Behav Evol       Date:  2011-06-17       Impact factor: 1.808

8.  A Comprehensive Quantitative Genetic Analysis of Cerebral Surface Area in Youth.

Authors:  J Eric Schmitt; Michael C Neale; Liv S Clasen; Siyuan Liu; Jakob Seidlitz; Joshua N Pritikin; Alan Chu; Gregory L Wallace; Nancy Raitano Lee; Jay N Giedd; Armin Raznahan
Journal:  J Neurosci       Date:  2019-03-04       Impact factor: 6.167

Review 9.  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

10.  Specificity and plasticity of thalamocortical connections in Sema6A mutant mice.

Authors:  Graham E Little; Guillermina López-Bendito; Annette E Rünker; Noelia García; Maria C Piñon; Alain Chédotal; Zoltán Molnár; Kevin J Mitchell
Journal:  PLoS Biol       Date:  2009-04-28       Impact factor: 8.029

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