Literature DB >> 33980715

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

Larry W Swanson1, Joel D Hahn2, Olaf Sporns3,4.   

Abstract

The midbrain is the smallest of three primary vertebrate brain divisions. Here we use network science tools to reveal the global organizing principles of intramidbrain axonal circuitry before adding extrinsic connections with the remaining nervous system. Curating the experimental neuroanatomical literature yielded 17,248 connection reports for 8,742 possible connections between the 94 gray matter regions forming the right and left midbrain. Evidence for the existence of 1,676 connections suggests a 19.2% connection density for this network, similar to that for the intraforebrain network [L. W. Swanson et al., Proc. Natl. Acad. Sci. U.S.A. 117, 31470-31481 (2020)]. Multiresolution consensus cluster analysis parceled this network into a hierarchy with 6 top-level and 30 bottom-level subsystems. A structure-function model of the hierarchy identifies midbrain subsystems that play specific functional roles in sensory-motor mechanisms, motivation and reward, regulating complex reproductive and agonistic behaviors, and behavioral state control. The intramidbrain network also contains four bilateral region pairs designated putative hubs. One pair contains the superior colliculi of the tectum, well known for participation in visual sensory-motor mechanisms, and the other three pairs form spatially compact right and left units (the ventral tegmental area, retrorubral area, and midbrain reticular nucleus) in the tegmentum that are implicated in motivation and reward mechanisms. Based on the core hypothesis that subsystems form functionally cohesive units, the results provide a theoretical framework for hypothesis-driven experimental analysis of neural circuit mechanisms underlying behavioral responses mediated in part by the midbrain.

Entities:  

Keywords:  behavioral state; connectomics; motivation; neuroinformatics; reward

Mesh:

Year:  2021        PMID: 33980715      PMCID: PMC8158020          DOI: 10.1073/pnas.2101869118

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


  18 in total

1.  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

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

Authors:  Larry W Swanson; Joel D Hahn; Lucas G S Jeub; Santo Fortunato; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-02       Impact factor: 11.205

Review 3.  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

4.  Network architecture of the cerebral nuclei (basal ganglia) association and commissural connectome.

Authors:  Larry W Swanson; Olaf Sporns; Joel D Hahn
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-19       Impact factor: 11.205

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.  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

7.  An open access mouse brain flatmap and upgraded rat and human brain flatmaps based on current reference atlases.

Authors:  Joel D Hahn; Larry W Swanson; Ian Bowman; Nicholas N Foster; Brian Zingg; Michael S Bienkowski; Houri Hintiryan; Hong-Wei Dong
Journal:  J Comp Neurol       Date:  2020-07-19       Impact factor: 3.028

8.  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

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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