DSE is a toolbox for variance decomposition of 4D data sets in order to diagnose spatio-temporal corruptions. Please direct any questions about this work to Soroosh Afyouni
& Tom Nichols
Afyouni, Soroosh, and Thomas E. Nichols. "Insight and Inference for DVARS." NeuroImage (2018).
Source code and full release details can be found here.
Below is application of the DSE decomposition on 800 subjects of two example data-sets; ABIDE and HCP100.