Title
Generative models of the human connectome.
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.
Year
DOI
Venue
2016
10.1016/j.neuroimage.2015.09.041
NeuroImage
Keywords
DocType
Volume
Graph theory,Generative models,Connectome
Journal
124
Issue
ISSN
Citations 
Pt A
1053-8119
22
PageRank 
References 
Authors
0.78
22
14
Name
Order
Citations
PageRank
Richard F. Betzel11147.13
Andrea Avena-Koenigsberger2443.20
Joaquín Goñi3898.99
Ye He4662.06
Marcel A. de Reus51307.58
Alessandra Griffa6974.83
Petra E Vértes7765.03
Bratislav Mišić8272.15
Jean-Philippe Thiran92320257.56
P. Hagmann1051135.38
Martijn P van den Heuvel11281.57
Xi-Nian Zuo1262530.73
Ed Bullmore131331150.94
Olaf Sporns142633167.36