Rich-club neurocircuitry: function, evolution, and vulnerability.
Details
Serval ID
serval:BIB_FF27847F5774
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Rich-club neurocircuitry: function, evolution, and vulnerability.
Journal
Dialogues in clinical neuroscience
ISSN
1958-5969 (Electronic)
ISSN-L
1294-8322
Publication state
Published
Issued date
06/2018
Peer-reviewed
Oui
Volume
20
Number
2
Pages
121-132
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't ; Review
Publication Status: ppublish
Publication Status: ppublish
Abstract
Over the past decades, network neuroscience has played a fundamental role in the understanding of large-scale brain connectivity architecture. Brains, and more generally nervous systems, can be modeled as sets of elements (neurons, assemblies, or cortical chunks) that dynamically interact through a highly structured and adaptive neurocircuitry. An interesting property of neural networks is that elements rich in connections are central to the network organization and tend to interconnect strongly with each other, forming so-called rich clubs. The ubiquity of rich-club organization across different species and scales of investigation suggests that this topology could be a distinctive feature of biological systems with information processing capabilities. This review surveys recent neuroimaging, computational, and cross-species comparative literature to offer an insight into the function and origin of rich-club architecture in nervous systems, discussing its relevance to human cognition and behavior, and vulnerability to brain disorders.
Keywords
Animals, Brain/physiology, Cognition/physiology, Connectome, Humans, Nerve Net/physiology, Neural Pathways/physiology, Neuroimaging/methods, anatomical connectivity, clinical neuroscience, comparative connectomics, complexity, connectome, evolution, functional dynamics, functional integration, graph analysis, neural network, neuroimaging, rich club
Pubmed
Web of science
Open Access
Yes
Create date
13/07/2023 13:32
Last modification date
10/01/2024 7:17