Literature DB >> 22298846

The limits of brain determinacy.

Peter G H Clarke1.   

Abstract

The genes do not control everything that happens in a cell or an organism, because thermally induced molecular movements and conformation changes are beyond genetic control. The importance of uncontrolled events has been argued from the differences between isogenic organisms reared in virtually identical environments, but these might alternatively be attributed to subtle, undetected differences in the environment. The present review focuses on the uncontrolled events themselves in the context of the developing brain. These are considered at cellular and circuit levels because even if cellular physiology was perfectly controlled by the genes (which it is not), the interactions between different cells might still be uncoordinated. A further complication is that the brain contains mechanisms that buffer noise and others that amplify it. The final resultant of the battle between these contrary mechanisms is that developmental stochasticity is sufficiently low to make neurobehavioural defects uncommon, but a chance component of neural development remains. Thus, our brains and behaviour are not entirely determined by a combination of genes-plus-environment.

Mesh:

Year:  2012        PMID: 22298846      PMCID: PMC3297467          DOI: 10.1098/rspb.2011.2629

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  74 in total

Review 1.  Genetics of synaptic vesicle function: toward the complete functional anatomy of an organelle.

Authors:  R Fernández-Chacón; T C Südhof
Journal:  Annu Rev Physiol       Date:  1999       Impact factor: 19.318

Review 2.  Canalization of development by microRNAs.

Authors:  Eran Hornstein; Noam Shomron
Journal:  Nat Genet       Date:  2006-06       Impact factor: 38.330

Review 3.  Spike timing-dependent plasticity: a Hebbian learning rule.

Authors:  Natalia Caporale; Yang Dan
Journal:  Annu Rev Neurosci       Date:  2008       Impact factor: 12.449

4.  Bayesian model predicts the response of axons to molecular gradients.

Authors:  Duncan Mortimer; Julia Feldner; Timothy Vaughan; Irina Vetter; Zac Pujic; William J Rosoff; Kevin Burrage; Peter Dayan; Linda J Richards; Geoffrey J Goodhill
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-18       Impact factor: 11.205

5.  Neuronal death in the central nervous system during development.

Authors:  P G Clarke; A Posada; M P Primi; V Castagné
Journal:  Biomed Pharmacother       Date:  1998       Impact factor: 6.529

6.  The time of origin and the pattern of survival of neurons in the isthmo-optic nucleus of the chick.

Authors:  P G Clarke; L A Rogers; W M Cowan
Journal:  J Comp Neurol       Date:  1976-05-15       Impact factor: 3.215

7.  From basic network principles to neural architecture: emergence of orientation-selective cells.

Authors:  R Linsker
Journal:  Proc Natl Acad Sci U S A       Date:  1986-11       Impact factor: 11.205

8.  Activity-dependent changes in the firing properties of neocortical fast-spiking interneurons in the absence of large changes in gene expression.

Authors:  Mark N Miller; Benjamin W Okaty; Saori Kato; Sacha B Nelson
Journal:  Dev Neurobiol       Date:  2011-01-01       Impact factor: 3.964

Review 9.  Axon guidance: asymmetric signaling orients polarized outgrowth.

Authors:  Christopher C Quinn; William G Wadsworth
Journal:  Trends Cell Biol       Date:  2008-10-24       Impact factor: 20.808

Review 10.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

View more
  4 in total

Review 1.  Stochastic developmental variation, an epigenetic source of phenotypic diversity with far-reaching biological consequences.

Authors:  Günter Vogt
Journal:  J Biosci       Date:  2015-03       Impact factor: 1.826

Review 2.  Beyond Molecular Codes: Simple Rules to Wire Complex Brains.

Authors:  Bassem A Hassan; P Robin Hiesinger
Journal:  Cell       Date:  2015-10-08       Impact factor: 41.582

3.  Stochastic computations in cortical microcircuit models.

Authors:  Stefan Habenschuss; Zeno Jonke; Wolfgang Maass
Journal:  PLoS Comput Biol       Date:  2013-11-14       Impact factor: 4.475

4.  Patterned Brain Stimulation, What a Framework with Rhythmic and Noisy Components Might Tell Us about Recovery Maximization.

Authors:  Sein Schmidt; Michael Scholz; Klaus Obermayer; Stephan A Brandt
Journal:  Front Hum Neurosci       Date:  2013-06-28       Impact factor: 3.169

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.