Generative models of the human connectome.

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Serval ID
serval:BIB_32AA59703A77
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Generative models of the human connectome.
Journal
Neuroimage
Author(s)
Betzel R.F., Avena-Koenigsberger A., Goñi J., He Y., de Reus M.A., Griffa A., Vértes P.E., Misic B., Thiran J.P., Hagmann P., van den Heuvel M., Zuo X.N., Bullmore E.T., Sporns O.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Publication state
Published
Issued date
01/2016
Peer-reviewed
Oui
Volume
124
Number
Pt A
Pages
1054-1064
Language
english
Abstract
The human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cognitive function. The generative rules that shape the topology of the human connectome remain incompletely understood. Earlier work in model organisms has suggested that wiring rules based on geometric relationships (distance) can account for many but likely not all topological features. Here we systematically explore a family of generative models of the human connectome that yield synthetic networks designed according to different wiring rules combining geometric and a broad range of topological factors. We find that a combination of geometric constraints with a homophilic attachment mechanism can create synthetic networks that closely match many topological characteristics of individual human connectomes, including features that were not included in the optimization of the generative model itself. We use these models to investigate a lifespan dataset and show that, with age, the model parameters undergo progressive changes, suggesting a rebalancing of the generative factors underlying the connectome across the lifespan.
Pubmed
Web of science
Open Access
Yes
Create date
20/10/2015 14:16
Last modification date
20/08/2019 13:18
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