Literature DB >> 31213544

The network organization of rat intrathalamic macroconnections and a comparison with other forebrain divisions.

Larry W Swanson1, Olaf Sporns2,3, Joel D Hahn4.   

Abstract

The thalamus is 1 of 4 major divisions of the forebrain and is usually subdivided into epithalamus, dorsal thalamus, and ventral thalamus. The 39 gray matter regions comprising the large dorsal thalamus project topographically to the cerebral cortex, whereas the much smaller epithalamus (2 regions) and ventral thalamus (5 regions) characteristically project subcortically. Before analyzing extrinsic inputs and outputs of the thalamus, here, the intrinsic connections among all 46 gray matter regions of the rat thalamus on each side of the brain were expertly collated and subjected to network analysis. Experimental axonal pathway-tracing evidence was found in the neuroanatomical literature for the presence or absence of 99% of 2,070 possible ipsilateral connections and 97% of 2,116 possible contralateral connections; the connection density of ipsilateral connections was 17%, and that of contralateral connections 5%. One hub, the reticular thalamic nucleus (of the ventral thalamus), was found in this network, whereas no high-degree rich club or clear small-world features were detected. The reticular thalamic nucleus was found to be primarily responsible for conferring the property of complete connectedness to the intrathalamic network in the sense that there is, at least, one path of finite length between any 2 regions or nodes in the network. Direct comparison with previous investigations using the same methodology shows that each division of the forebrain (cerebral cortex, cerebral nuclei, thalamus, hypothalamus) has distinct intrinsic network topological organization. A future goal is to analyze the network organization of connections within and among these 4 divisions of the forebrain.

Entities:  

Keywords:  connectomics; mammal; neural connections; neuroinformatics; subsystems

Year:  2019        PMID: 31213544      PMCID: PMC6613106          DOI: 10.1073/pnas.1905961116

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


  17 in total

Review 1.  Cerebral hemisphere regulation of motivated behavior.

Authors:  L W Swanson
Journal:  Brain Res       Date:  2000-12-15       Impact factor: 3.252

Review 2.  What is the brain?

Authors:  L W Swanson
Journal:  Trends Neurosci       Date:  2000-11       Impact factor: 13.837

3.  Foundational model of structural connectivity in the nervous system with a schema for wiring diagrams, connectome, and basic plan architecture.

Authors:  Larry W Swanson; Mihail Bota
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-15       Impact factor: 11.205

4.  Architecture of the cerebral cortical association connectome underlying cognition.

Authors:  Mihail Bota; Olaf Sporns; Larry W Swanson
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-06       Impact factor: 11.205

Review 5.  From Cajal to Connectome and Beyond.

Authors:  Larry W Swanson; Jeff W Lichtman
Journal:  Annu Rev Neurosci       Date:  2016-07-08       Impact factor: 12.449

6.  Rich club organization and intermodule communication in the cat connectome.

Authors:  Marcel A de Reus; Martijn P van den Heuvel
Journal:  J Neurosci       Date:  2013-08-07       Impact factor: 6.167

7.  Neural systems language: a formal modeling language for the systematic description, unambiguous communication, and automated digital curation of neural connectivity.

Authors:  Ramsay A Brown; Larry W Swanson
Journal:  J Comp Neurol       Date:  2013-09-01       Impact factor: 3.215

Review 8.  Small-world brain networks.

Authors:  Danielle Smith Bassett; Ed Bullmore
Journal:  Neuroscientist       Date:  2006-12       Impact factor: 7.519

9.  Rich club organization of macaque cerebral cortex and its role in network communication.

Authors:  Logan Harriger; Martijn P van den Heuvel; Olaf Sporns
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

10.  Network 'small-world-ness': a quantitative method for determining canonical network equivalence.

Authors:  Mark D Humphries; Kevin Gurney
Journal:  PLoS One       Date:  2008-04-30       Impact factor: 3.240

View more
  5 in total

1.  Structure-function subsystem models of female and male forebrain networks integrating cognition, affect, behavior, and bodily functions.

Authors:  Larry W Swanson; Joel D Hahn; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-23       Impact factor: 11.205

2.  The network architecture of rat intrinsic interbrain (diencephalic) macroconnections.

Authors:  Larry W Swanson; Olaf Sporns; Joel D Hahn
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-05       Impact factor: 11.205

3.  The physiological control of eating: signals, neurons, and networks.

Authors:  Alan G Watts; Scott E Kanoski; Graciela Sanchez-Watts; Wolfgang Langhans
Journal:  Physiol Rev       Date:  2021-09-06       Impact factor: 37.312

4.  Subsystem macroarchitecture of the intrinsic midbrain neural network and its tectal and tegmental subnetworks.

Authors:  Larry W Swanson; Joel D Hahn; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2021-05-18       Impact factor: 11.205

5.  Respiratory alkalosis provokes spike-wave discharges in seizure-prone rats.

Authors:  Kathryn A Salvati; George M P R Souza; Adam C Lu; Matthew L Ritger; Patrice Guyenet; Stephen B Abbott; Mark P Beenhakker
Journal:  Elife       Date:  2022-01-04       Impact factor: 8.140

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.