Literature DB >> 29967160

Subsystem organization of axonal connections within and between the right and left cerebral cortex and cerebral nuclei (endbrain).

Larry W Swanson1, Joel D Hahn2, Lucas G S Jeub3,4, Santo Fortunato3,4, Olaf Sporns3,5.   

Abstract

The endbrain (telencephalon) is at the rostral end of the central nervous system and is primarily responsible for supporting cognition and affect. Structurally, it consists of right and left cerebral hemispheres, each parceled into multiple cortical and nuclear gray matter regions. The global network organization of axonal macroconnections between the 244 regions forming the endbrain was analyzed with a multiresolution consensus clustering (MRCC) method that provides a hierarchical description of community clustering (modules or subsystems) within the network. Experimental evidence was collated from the neuroanatomical literature for the existence of 10,002 of a possible 59,292 connections within the network, and they cluster into four top-level subsystems and 60 bottom-level subsystems arranged in a 50-level hierarchy. Two top-level subsystems are bihemispheric: One deals with auditory and visual information, and the other corresponds broadly to the default mode network. The other two top-level subsystems are bilaterally symmetrical, and each deals broadly with somatic and visceral information. Because the entire endbrain connection matrix was assembled from multiple subconnectomes, it was easy to show that the status of a region as a connectivity hub is not absolute but, instead, depends on the size and coverage of its anatomical neighborhood. It was also shown numerically that creating an ultradense connection matrix by converting all "absent" connections to a "very weak" connection weight has virtually no effect on the clustering hierarchy. The next logical step in this project is to complete the forebrain connectome by adding the thalamus and hypothalamus (together, the interbrain) to the endbrain analysis.

Entities:  

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

Mesh:

Year:  2018        PMID: 29967160      PMCID: PMC6055193          DOI: 10.1073/pnas.1807255115

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


  15 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

Review 3.  Asymmetry of the neuroendocrine system.

Authors:  I Gerendai; B Halász
Journal:  News Physiol Sci       Date:  2001-04

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

5.  The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles.

Authors:  Răzvan Gămănuţ; Henry Kennedy; Zoltán Toroczkai; Mária Ercsey-Ravasz; David C Van Essen; Kenneth Knoblauch; Andreas Burkhalter
Journal:  Neuron       Date:  2018-02-07       Impact factor: 17.173

Review 6.  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

7.  Sexual differentiation of projections from the principal nucleus of the bed nuclei of the stria terminalis.

Authors:  Guibao Gu; Anda Cornea; Richard B Simerly
Journal:  J Comp Neurol       Date:  2003-06-09       Impact factor: 3.215

8.  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

9.  Organizing principles for the cerebral cortex network of commissural and association connections.

Authors:  Larry W Swanson; Joel D Hahn; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-23       Impact factor: 11.205

10.  Multiresolution Consensus Clustering in Networks.

Authors:  Lucas G S Jeub; Olaf Sporns; Santo Fortunato
Journal:  Sci Rep       Date:  2018-02-19       Impact factor: 4.379

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  10 in total

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

Authors:  Larry W Swanson; Olaf Sporns; Joel D Hahn
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-18       Impact factor: 11.205

2.  Macroscale intrinsic network architecture of the hypothalamus.

Authors:  Joel D Hahn; Olaf Sporns; Alan G Watts; Larry W Swanson
Journal:  Proc Natl Acad Sci U S A       Date:  2019-03-28       Impact factor: 11.205

3.  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

4.  A model for mapping between the human and rodent cerebral cortex.

Authors:  Larry W Swanson; Patrick R Hof
Journal:  J Comp Neurol       Date:  2019-05-11       Impact factor: 3.215

5.  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

6.  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

7.  The brainstem connectome database.

Authors:  Oliver Schmitt; Peter Eipert; Frauke Ruß; Julia Beier; Kanar Kadir; Anja Horn
Journal:  Sci Data       Date:  2022-04-12       Impact factor: 6.444

8.  Functional connectivity of fMRI using differential covariance predicts structural connectivity and behavioral reaction times.

Authors:  Yusi Chen; Qasim Bukhari; Tiger W Lin; Terrence J Sejnowski
Journal:  Netw Neurosci       Date:  2022-06-01

9.  The Connectome and Chemo-Connectome Databases for Mice Brain Connection Analysis.

Authors:  Yang Wang; Zhixiang Liu; Da Sun; Leqiang Sun; Gang Cao; Jinxia Dai
Journal:  Front Neuroanat       Date:  2022-06-09       Impact factor: 3.543

10.  Hierarchical organization of cortical and thalamic connectivity.

Authors:  Julie A Harris; Stefan Mihalas; Karla E Hirokawa; Jennifer D Whitesell; Hannah Choi; Amy Bernard; Phillip Bohn; Shiella Caldejon; Linzy Casal; Andrew Cho; Aaron Feiner; David Feng; Nathalie Gaudreault; Charles R Gerfen; Nile Graddis; Peter A Groblewski; Alex M Henry; Anh Ho; Robert Howard; Joseph E Knox; Leonard Kuan; Xiuli Kuang; Jerome Lecoq; Phil Lesnar; Yaoyao Li; Jennifer Luviano; Stephen McConoughey; Marty T Mortrud; Maitham Naeemi; Lydia Ng; Seung Wook Oh; Benjamin Ouellette; Elise Shen; Staci A Sorensen; Wayne Wakeman; Quanxin Wang; Yun Wang; Ali Williford; John W Phillips; Allan R Jones; Christof Koch; Hongkui Zeng
Journal:  Nature       Date:  2019-10-30       Impact factor: 49.962

  10 in total

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