TY  - JOUR
AU  - Oldham, Stuart
AU  - Fulcher, Ben D.
AU  - Aquino, Kevin
AU  - Arnatkevičiūtė, Aurina
AU  - Paquola, Casey
AU  - Shishegar, Rosita
AU  - Fornito, Alex
TI  - Modeling spatial, developmental, physiological, and topological constraints on human brain connectivity
JO  - Science advances
VL  - 8
IS  - 22
SN  - 2375-2548
CY  - Washington, DC [u.a.]
PB  - Assoc.
M1  - FZJ-2022-04676
SP  - eabm6127
PY  - 2022
AB  - The complex connectivity of nervous systems is thought to have been shaped by competitive selection pressures to minimize wiring costs and support adaptive function. Accordingly, recent modeling work indicates that stochastic processes, shaped by putative trade-offs between the cost and value of each connection, can successfully reproduce many topological properties of macroscale human connectomes measured with diffusion magnetic resonance imaging. Here, we derive a new formalism that more accurately captures the competing pressures of wiring cost minimization and topological complexity. We further show that model performance can be improved by accounting for developmental changes in brain geometry and associated wiring costs, and by using interregional transcriptional or microstructural similarity rather than topological wiring rules. However, all models struggled to capture topographical (i.e., spatial) network properties. Our findings highlight an important role for genetics in shaping macroscale brain connectivity and indicate that stochastic models offer an incomplete account of connectome organization.
LB  - PUB:(DE-HGF)16
C6  - 35658036
UR  - <Go to ISI:>//WOS:000808053900015
DO  - DOI:10.1126/sciadv.abm6127
UR  - https://juser.fz-juelich.de/record/911393
ER  -