Mar 9, 2020

Non-Negative Data-Driven Mapping of Structural Connections in the Neonatal Brain

bioRxiv
Elinor ThompsonStamatios N. Sotiropoulos

Abstract

Mapping connections in the neonatal brain can provide insight into the crucial early stages of neurodevelopment that shape brain organisation and lay the foundations for cognition and behaviour. Diffusion MRI and tractography provide unique opportunities for such explorations, through estimation of white matter bundles and brain connectivity. Atlas-based tractography protocols, i.e. a priori defined sets of masks and logical operations in a template space, have been commonly used in the adult brain to drive such explorations. However, rapid growth and maturation of the brain during early development make it challenging to ensure correspondence and validity of such atlas-based tractography approaches in the developing brain. An alternative can be provided by data-driven methods, which do not depend on predefined regions of interest. Here, we develop a novel data-driven framework to extract white matter bundles and their associated grey matter networks from neonatal tractography data, based on non-negative matrix factorisation that is inherently suited to the non-negative nature of structural connectivity data. We also develop a non-negative dual regression framework to map group-level components to individual subjects. Using in-...Continue Reading

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Mentioned in this Paper

White Matter
Space - Property
Cerebral Cortex
Diffusion Tractography
Gray Matter
Analysis of Substances
Shapes
MRNA Maturation
Simulation
Diffusion Magnetic Resonance Imaging

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