The Hierarchical Independent Component Analysis Toolbox (HINT) is a Matlab toolbox serving as a user-friendly platform for conducting analyses under the hierarchical ICA framework. At this time, the toolbox implements the hc-ICA technique of Shi and Guo, 2016, with further extensions of this approach, including a longitudinal ICA method, in active development.

Highlights:
Model based estimation and hypothesis testing of covariate effects
Visualization windows to examine covariate effects, contrasts, and to compare sub-populations

Shi, R., & Guo, Y. (2016). Investigating differences in brain functional networks using hierarchical covariate-adjusted independent component analysis. The Annals of Applied Statistics, 10(4), 1930–1957. http://doi.org/10.1214/16-AOAS946

Video Tutorial: https://www.youtube.com/watch?v=tRl9UFbT...

Mac/Windows/Linux/HPC