Hierarchical modelling of functional brain networks in population and individuals from big fMRI data

Farahibozorg, Seyedeh-Rezvan; Bijsterbosch, Janine D; Gong, Weikang; Jbabdi, Saad; Smith, Stephen M; Harrison, Samuel J; Woolrich, Mark W

doi:10.1016/j.neuroimage.2021.118513

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Farahibozorg, S.-R., Bijsterbosch, J. D., Gong, W., Jbabdi, S., Smith, S. M., Harrison, S. J., & Woolrich, M. W. (2021). Hierarchical modelling of functional brain networks in population and individuals from big fMRI data. NeuroImage, 243, 118513. https://doi.org/10.1016/j.neuroimage.2021.118513

Abstract

A major goal of large-scale brain imaging datasets is to provide resources for investigating heterogeneous populations. Characterisation of functional brain networks for individual subjects from these datasets will have an enormous potential for prediction of cognitive or clinical traits. We propose for the first time a technique, Stochastic Probabilistic Functional Modes (sPROFUMO), that is scalable to UK Biobank (UKB) with expected 100,000 participants, and hierarchically estimates functional brain networks in individuals and the po