Generative models of the human connectome.

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Ressource 1Télécharger: BIB_32AA59703A77.P001.pdf (1160.76 [Ko])
Etat: Public
Version: de l'auteur
ID Serval
serval:BIB_32AA59703A77
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Generative models of the human connectome.
Périodique
Neuroimage
Auteur(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
Statut éditorial
Publié
Date de publication
01/2016
Peer-reviewed
Oui
Volume
124
Numéro
Pt A
Pages
1054-1064
Langue
anglais
Résumé
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
Oui
Création de la notice
20/10/2015 15:16
Dernière modification de la notice
20/08/2019 14:18
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