Dissociating Group and Individual Profile of Functional Connectivity Using Low Rank Matrix Recovery

Brain connectivity network consists of general substrate and specific traits, yet their characteristic and relationships were still unknown. Here, we systematically investigate the substrate and traits of functional connectivity (FC) network. We calculated the resting-state functional magnetic resonance imaging-based FC using data from the Human Connectome Project. Subjects’ FC was decomposed into general substrate and specific traits via a novel low rank matrix recovery method. Then we investigated the relationships between FC traits and the cognitive behaviors. We found that FC traits were significantly associated with the cognitive behaviors. Our findings suggest that individual differences in FC traits could mainly account for inter-subject variability of the cognition and behaviors. This could advance our understanding of substrate and traits of brain function.

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