\delta -MAPS: From fMRI Data to Functional Brain Networks

Ilias Fountalis, Constantine Dovrolis, Bistra Dilkina, Shella D. Keilholz

Abstract: We propose \(\delta \)-MAPS, a spatio-temporal data analysis method that identifies functionally distinct, possibly overlapping, spatially contiguous regions in the brain, referred to as “domains”, and infers the functional (i.e., correlation-based) connections between them. The proposed network inference method examines the statistical significance of each lagged cross-correlation between two domains, infers a range of lag values for each edge, and assigns a weight to each edge based on the covariance of the signal of the two domains. We illustrate the application of \(\delta \)-MAPS on cortical resting-state fMRI data.