title: Overlapping replicator dynamics for functional subnetwork identification.
abstract: Functional magnetic resonance imaging (fMRI) has been widely used for inferring brain regions that tend to work in tandem and grouping them into subnetworks. Despite that certain brain regions are known to interact with multiple subnetworks, few existing techniques support identification of subnetworks with overlaps. To address this limitation, we propose a novel approach based on replicator dynamics that facilitates detection of sparse overlapping subnetworks. We refer to our approach as overlapping replicator dynamics (RDOL). On synthetic data, we show that RDOL achieves higher accuracy in subnetwork identification than state-of-the-art methods. On real data, we demonstrate that RDOL is able to identify major functional hubs that are known to serve as communication channels between brain regions, in addition to detecting commonly observed functional subnetworks. Moreover, we illustrate that knowing the subnetwork overlaps enables inference of functional pathways, e.g. from primary sensory areas to the integration hubs.
authors.affiliation: Biomedical Signal and Image Computing Lab, The University of British Columbia, Canada. buraky@ece.ubc.ca
authors.forename: Burak
authors.initials: B
authors.lastname: Yoldemir
authors.affiliation: Parietal Team, INRIA Saclay, France.
authors.forename: Bernard
authors.initials: B
authors.lastname: Ng
authors.affiliation: Biomedical Signal and Image Computing Lab, The University of British Columbia, Canada.
authors.forename: Rafeef
authors.initials: R
authors.lastname: Abugharbieh
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D063132:Connectome / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009415:Nerve Net / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity