HINT: Hierarchical Independent Component Analysis Toolbox

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 and the longitudinal technique of Wang and Guo, 2019.

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

Wang, Y., & Guo, Y. (2019). A hierarchical independent component analysis model for longitudinal neuroimaging studies. NeuroImage, 189, 380-400. https://doi.org/10.1016/j.neuroimage.201...

Video Tutorial: https://www.youtube.com/watch?v=lacy1bnK...

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