Functional random effects modeling of brain shape and connectivity
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Authors
Lila, Eardi
Aston, John
Journal Title
Annals of Applied Statistics
ISSN
1932-6157
Publisher
Institute of Mathematical Statistics
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Lila, E., & Aston, J. Functional random effects modeling of brain shape and connectivity. Annals of Applied Statistics https://doi.org/10.17863/CAM.83954
Abstract
We present a statistical framework that jointly models brain shape and functional connectivity, which are two complex aspects of the brain that have been classically studied independently. We adopt a Riemannian modeling approach to account for the non-Euclidean geometry of the space of shapes and the space of connectivity that constrains trajectories of co-variation to be valid statistical estimates. In order to disentangle genetic sources of variability from those driven by unique environmental factors, we embed a functional random effects model in the Riemannian framework. We apply the proposed model to the Human Connectome Project dataset to explore spontaneous co-variation between brain shape and connectivity in young healthy individuals.
Sponsorship
EPSRC (EP/T017961/1)
Embargo Lift Date
2025-04-27
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.83954
This record's URL: https://www.repository.cam.ac.uk/handle/1810/336534
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