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Abstract #2289

Non-negative matrix factorisation reveals developmental trajectories of structural subnetworks

Gareth Ball1, Richard Beare1, and Marc L Seal1,2

1Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia, 2Department of Paediatrics, University of Melbourne, Melbourne, Australia

We model the structural network architecture of the brain as a set of superposed subnetworks, or network components. We use non-negative matrix factorisation, an unsupervised and data-driven approach, to reliably identify separable subnetworks and track their development over the human lifespan. In the NKI-Rockland lifespan sample (n=196), we find evidence for an increased reliance on local communication between neighbouring regions, rather than through heavily-connected network hubs in older age. This method shows good potential for further exploration of the human structural connectome.

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