Functional magnetic resonance imaging (fMRI) is highly suited for studying patterns and relationships in whole-brain activity. A network-based paradigm for analyzing large volumes of fMRI data is a promising framework to understand brain function, but challenges in data analytics must be addressed to enable neuroscience breakthroughs.