Releases: maartenmennes/ICA-AROMA
New feature release
This release includes 2 new features:
-
classification_plots: a function which allows making plots similar to Figure 2 in Pruim et al. 2015. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data. NeuroImage. 112, 267–277. This allows assessing the results of the classification procedure. A .pdf with the results for the current subject is automatically added in the ICA-AROMA directory. Note that you can use this function to also make plots across the classification outcomes of a number of subjects.
-
The code for extracting the correlation with the motion parameters has been refactored in light of @dangom's suggestions and @rtrhd's code. This results in a massive speed-up of the feature extraction process.
Bug fix release
Made ICA_AROMA_FUNCTIONS.py pep8 compatible (fixed mixed indents). Did not conform to line length.
Bug fix release
fix for bug when having 0 or 1 noise component identified, thanks to @WillForan
v0.4.1-beta
Bug fix release:
- added fix to deal with occasional nan correlations thanks to @jdkent
v0.4-beta
First release using git release tagging.
Added python 3 compatibility thanks to @chrisfilo.