Relations Between the Geometry of Cortical Gyrification and White-Matter Network Architecture

Henderson, James A. and Robinson, Peter A. (2014) Relations Between the Geometry of Cortical Gyrification and White-Matter Network Architecture. Brain Connectivity, 4 2: 112-130. doi:10.1089/brain.2013.0183

Author Henderson, James A.
Robinson, Peter A.
Title Relations Between the Geometry of Cortical Gyrification and White-Matter Network Architecture
Journal name Brain Connectivity   Check publisher's open access policy
ISSN 2158-0014
Publication date 2014-03-01
Year available 2014
Sub-type Article (original research)
DOI 10.1089/brain.2013.0183
Open Access Status
Volume 4
Issue 2
Start page 112
End page 130
Total pages 19
Place of publication New Rochelle, NY United States
Publisher Mary Ann Liebert Inc Publishers
Collection year 2015
Language eng
Formatted abstract
A geometrically based network model of cortico-cortical white-matter connectivity is used in combination with diffusion spectrum MRI (DSI) data to show that white-matter cortical network architecture is founded on a homogeneous, isotropic geometric connection principle. No other special information about single connections or groups of connections is required to generate networks very similar to experimental ones. This model provides excellent agreement with experimental DSI frequency distributions of network measures-degree, clustering coefficient, path length, and betweenness centrality. In the model, these distributions are a result of geometrically induced spatial variations in the values of these measures with deep nodes having more hublike properties than superficial nodes. This leads to experimentally testable predictions of corresponding variations in real cortexes. The convoluted geometry of the cortex is also found to introduce weak modularity, similar to the lobe structure of the cortex, with the boundaries between modules having hublike properties. These findings mean that some putative discoveries regarding the structure of white-matter cortical networks are simply artifacts and/or consequences of geometry. This model may help provide insight into diseases associated with differences in gyrification as well as evolutionary development of the cortex
Keyword Connectivity
White matter
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
School of Information Technology and Electrical Engineering Publications
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Created: Mon, 18 Aug 2014, 17:00:46 EST by James Henderson on behalf of School of Information Technol and Elec Engineering