A generative network model of neurodevelopmental diversity in structural brain organization.
Published version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Abstract
The formation of large-scale brain networks, and their continual refinement, represent crucial developmental processes that can drive individual differences in cognition and which are associated with multiple neurodevelopmental conditions. But how does this organization arise, and what mechanisms drive diversity in organization? We use generative network modeling to provide a computational framework for understanding neurodevelopmental diversity. Within this framework macroscopic brain organization, complete with spatial embedding of its organization, is an emergent property of a generative wiring equation that optimizes its connectivity by renegotiating its biological costs and topological values continuously over time. The rules that govern these iterative wiring properties are controlled by a set of tightly framed parameters, with subtle differences in these parameters steering network growth towards different neurodiverse outcomes. Regional expression of genes associated with the simulations converge on biological processes and cellular components predominantly involved in synaptic signaling, neuronal projection, catabolic intracellular processes and protein transport. Together, this provides a unifying computational framework for conceptualizing the mechanisms and diversity in neurodevelopment, capable of integrating different levels of analysis-from genes to cognition.
Description
Keywords
Journal Title
Conference Name
Journal ISSN
2041-1723
Volume Title
Publisher
Publisher DOI
Sponsorship
Medical Research Council (MC_UU_00005/2)
Medical Research Council (MC_UU_00005/10)
Medical Research Council (MC_G0802534)
Medical Research Council (MC_U105559837)
MRC (2114217)