serval:BIB_32AA59703A77
Generative models of the human connectome.
10.1016/j.neuroimage.2015.09.041
000366646700099
26427642
Betzel
R.F.
author
Avena-Koenigsberger
A.
author
Goñi
J.
author
He
Y.
author
de Reus
M.A.
author
Griffa
A.
author
Vértes
P.E.
author
Misic
B.
author
Thiran
J.P.
author
Hagmann
P.
author
van den Heuvel
M.
author
Zuo
X.N.
author
Bullmore
E.T.
author
Sporns
O.
author
article
2016-01
Neuroimage
1095-9572
1053-8119
journal
124
Pt A
1054-1064
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.
eng
60_published
true
peer-reviewed
University of Lausanne
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