Literature DB >> 33229546

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

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

Abstract

The forebrain is the first of three primary vertebrate brain subdivisions. Macrolevel network analysis in a mammal (rat) revealed that the 466 gray matter regions composing the right and left sides of the forebrain are interconnected by 35,738 axonal connections forming a large set of overlapping, hierarchically arranged subsystems. This hierarchy is bilaterally symmetrical and sexually dimorphic, and it was used to create a structure-function conceptual model of intraforebrain network organization. Two mirror image top-level subsystems are presumably the most fundamental ontogenetically and phylogenetically. They essentially form the right and left forebrain halves and are relatively weakly interconnected. Each top-level subsystem in turn has two second-level subsystems. A ventromedial subsystem includes the medial forebrain bundle, functionally coordinating instinctive survival behaviors with appropriate physiological responses and affect. This subsystem has 26/24 (female/male) lowest-level subsystems, all using a combination of glutamate and GABA as neurotransmitters. In contrast, a dorsolateral subsystem includes the lateral forebrain bundle, functionally mediating voluntary behavior and cognition. This subsystem has 20 lowest-level subsystems, and all but 4 use glutamate exclusively for their macroconnections; no forebrain subsystems are exclusively GABAergic. Bottom-up subsystem analysis is a powerful engine for generating testable hypotheses about mechanistic explanations of brain function, behavior, and mind based on underlying circuit organization. Targeted computational (virtual) lesioning of specific regions of interest associated with Alzheimer's disease, clinical depression, and other disorders may begin to clarify how the effects spread through the entire forebrain network model.

Entities:  

Keywords:  Alzheimer’s disease; connectomics; depression; neuroinformatics; sexual dimorphisms

Mesh:

Year:  2020        PMID: 33229546      PMCID: PMC7733829          DOI: 10.1073/pnas.2017733117

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


  26 in total

1.  The physiology of motivation.

Authors:  E STELLAR
Journal:  Psychol Rev       Date:  1954-01       Impact factor: 8.934

2.  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

3.  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

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.  Rapid Antidepressant Effects of Deep Brain Stimulation and Their Relation to Surgical Protocol.

Authors:  Patricio Riva-Posse; Andrea L Crowell; Kathryn Wright; Allison C Waters; KiSueng Choi; Steven J Garlow; Paul E Holtzheimer; Robert E Gross; Helen S Mayberg
Journal:  Biol Psychiatry       Date:  2020-05-14       Impact factor: 13.382

6.  A Network Explanation of Alzheimer's Regional Vulnerability.

Authors:  Scott A Small; Larry W Swanson
Journal:  Cold Spring Harb Symp Quant Biol       Date:  2019-01-14

7.  Neurological tests and behavioral deficits in chronic thalamic and chronic decerebrate rats.

Authors:  H J Grill; R Norgren
Journal:  Brain Res       Date:  1978-03-24       Impact factor: 3.252

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.  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

10.  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

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  5 in total

Review 1.  Architectures of neuronal circuits.

Authors:  Liqun Luo
Journal:  Science       Date:  2021-09-03       Impact factor: 47.728

2.  Macroscale connections of the mouse lateral preoptic area and anterior lateral hypothalamic area.

Authors:  Joel D Hahn; Lei Gao; Tyler Boesen; Lin Gou; Houri Hintiryan; Hong-Wei Dong
Journal:  J Comp Neurol       Date:  2022-05-17       Impact factor: 3.028

3.  Ripples reflect a spectrum of synchronous spiking activity in human anterior temporal lobe.

Authors:  Ai Phuong S Tong; Alex P Vaz; John H Wittig; Sara K Inati; Kareem A Zaghloul
Journal:  Elife       Date:  2021-11-15       Impact factor: 8.713

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.  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

  5 in total

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