Literature DB >> 18716206

Structural plasticity of circuits in cortical neuropil.

Gina Escobar1, Tarec Fares, Armen Stepanyants.   

Abstract

Learning and memory formation in the brain depend on the plasticity of neural circuits. In the adult and developing cerebral cortex, this plasticity can result from the formation and elimination of dendritic spines. New synaptic contacts appear in the neuropil where the gaps between axonal and dendritic branches can be bridged by dendritic spines. Such sites are termed potential synapses. Here, we describe a theoretical framework for the analysis of spine remodeling plasticity. We provide a quantitative description of two models of spine remodeling in which the presence of a bouton is either required or not for the formation of a new synapse. We derive expressions for the density of potential synapses in the neuropil, the connectivity fraction, which is the ratio of actual to potential synapses, and the number of structurally different circuits attainable with spine remodeling. We calculate these parameters in mouse occipital cortex, rat CA1, monkey V1, and human temporal cortex. We find that, on average, a dendritic spine can choose among 4-7 potential targets in rodents and 10-20 potential targets in primates. The potential of neuropil for structural circuit remodeling is highest in rat CA1 (7.1-8.6 bits/mum(3)) and lowest in monkey V1 (1.3-1.5 bits/mum(3)). We also evaluate the lower bound of neuron selectivity in the choice of synaptic partners. Postsynaptic excitatory neurons in rodents make synaptic contacts with >21-30% of presynaptic axons encountered with new spine growth. Primate neurons appear to be more selective, making synaptic connections with >7-15% of encountered axons.

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Year:  2008        PMID: 18716206      PMCID: PMC2709984          DOI: 10.1523/JNEUROSCI.2046-08.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  43 in total

1.  Experience-dependent plasticity of dendritic spines in the developing rat barrel cortex in vivo.

Authors:  B Lendvai; E A Stern; B Chen; K Svoboda
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2.  Geometry and structural plasticity of synaptic connectivity.

Authors:  Armen Stepanyants; Patrick R Hof; Dmitri B Chklovskii
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3.  General and variable features of varicosity spacing along unmyelinated axons in the hippocampus and cerebellum.

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4.  Lateral connectivity and contextual interactions in macaque primary visual cortex.

Authors:  Dan D Stettler; Aniruddha Das; Jean Bennett; Charles D Gilbert
Journal:  Neuron       Date:  2002-11-14       Impact factor: 17.173

Review 5.  Selectivity in the inter-laminar connections made by neocortical neurones.

Authors:  Alex M Thomson; Oliver T Morris
Journal:  J Neurocytol       Date:  2002 Mar-Jun

6.  Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex.

Authors:  Joshua T Trachtenberg; Brian E Chen; Graham W Knott; Guoping Feng; Joshua R Sanes; Egbert Welker; Karel Svoboda
Journal:  Nature       Date:  2002 Dec 19-26       Impact factor: 49.962

7.  Estrogen increases synaptic connectivity between single presynaptic inputs and multiple postsynaptic CA1 pyramidal cells: a serial electron-microscopic study.

Authors:  M Yankova; S A Hart; C S Woolley
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-20       Impact factor: 11.205

8.  The pyramidal cell in cognition: a comparative study in human and monkey.

Authors:  G N Elston; R Benavides-Piccione; J DeFelipe
Journal:  J Neurosci       Date:  2001-09-01       Impact factor: 6.167

Review 9.  Microstructure of the neocortex: comparative aspects.

Authors:  Javier DeFelipe; Lidia Alonso-Nanclares; Jon I Arellano
Journal:  J Neurocytol       Date:  2002 Mar-Jun

10.  Local potential connectivity in cat primary visual cortex.

Authors:  Armen Stepanyants; Judith A Hirsch; Luis M Martinez; Zoltán F Kisvárday; Alex S Ferecskó; Dmitri B Chklovskii
Journal:  Cereb Cortex       Date:  2007-04-09       Impact factor: 5.357

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  17 in total

Review 1.  Weighing the Evidence in Peters' Rule: Does Neuronal Morphology Predict Connectivity?

Authors:  Christopher L Rees; Keivan Moradi; Giorgio A Ascoli
Journal:  Trends Neurosci       Date:  2016-12-29       Impact factor: 13.837

2.  Cooperative synapse formation in the neocortex.

Authors:  Tarec Fares; Armen Stepanyants
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-04       Impact factor: 11.205

3.  Automated tracing of neurites from light microscopy stacks of images.

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Journal:  Neuroinformatics       Date:  2011-09

4.  Statistical traces of long-term memories stored in strengths and patterns of synaptic connections.

Authors:  Armen Stepanyants; Gina Escobar
Journal:  J Neurosci       Date:  2011-05-25       Impact factor: 6.167

5.  Non-homogeneous stereological properties of the rat hippocampus from high-resolution 3D serial reconstruction of thin histological sections.

Authors:  D Ropireddy; S E Bachus; G A Ascoli
Journal:  Neuroscience       Date:  2012-01-04       Impact factor: 3.590

6.  Neural cytoskeleton capabilities for learning and memory.

Authors:  Avner Priel; Jack A Tuszynski; Nancy J Woolf
Journal:  J Biol Phys       Date:  2010-01       Impact factor: 1.365

Review 7.  Neuronal morphology goes digital: a research hub for cellular and system neuroscience.

Authors:  Ruchi Parekh; Giorgio A Ascoli
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

8.  Spike-timing dependence of structural plasticity explains cooperative synapse formation in the neocortex.

Authors:  Moritz Deger; Moritz Helias; Stefan Rotter; Markus Diesmann
Journal:  PLoS Comput Biol       Date:  2012-09-20       Impact factor: 4.475

9.  Potential Synaptic Connectivity of Different Neurons onto Pyramidal Cells in a 3D Reconstruction of the Rat Hippocampus.

Authors:  Deepak Ropireddy; Giorgio A Ascoli
Journal:  Front Neuroinform       Date:  2011-07-04       Impact factor: 4.081

10.  Methods for neuronal guiding and synapse formation.

Authors:  D D Banciu; A Marin; B M Radu
Journal:  J Med Life       Date:  2012-06-18
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