Modeling spatial, developmental, physiological, and topological constraints on human brain connectivity.

ABSTRACT: 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 s

SUBMITTER: Oldham S 

PROVIDER: S-EPMC9166341 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature