Multivariate Wasserstein Functional Connectivity for Autism Screening. (arXiv:2209.11703v1 [cs.CV])

Most approaches to the estimation of brain functional connectivity from the
functional magnetic resonance imaging (fMRI) data rely on computing some
measure of statistical dependence, or more generally, a distance between
univariate representative time series of regions of interest (ROIs) consisting
of multiple voxels. However, summarizing a ROI's multiple time series with its
mean or the first principal component (1PC) may result to the loss of
information as, for example, 1PC explains only a small fraction of variance of
the …

arxiv autism connectivity screening