24.0.2 #1134
tsalo
announced in
Announcements
24.0.2
#1134
Replies: 0 comments
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
-
Release Notes
Enhancements
Generate metrics from external regressors using F stats by @handwerkerd in Generate metrics from external regressors using F stats #1064.
We have added in a long-requested addition to functionality. It is now possible to provide a
TSV
file with time series the same length as the fMRI time series, fit those time series to each ICA component, and use that information in the process to decide which components to accept or reject. For example, it is possible to use head motion regressors, cardiac and respiratory, regressors, and region-of-interest based regressors in models. With this functionality, it is now possible to combine the echo-based methods oftedana
with other ICA-based denoising methods that depend on fitting to time series. Best practices for how to apply this new functionality are still a work-in-progress, but by adding this functionality, any use can start testing and contributing to this effort without needing to edit code. More information is available in https://tedana.readthedocs.build/en/stable/building_decision_trees.html#external-regressor-configurationAdding robustica option to ICA decomposition to achieve consistent results by @BahmanTahayori in Adding robustica option to ICA decomposition to achieve consistent results #1013.
tedana
previously used a single iteration ofFastICA
. This works but it means that the results are sensitive to initial seed selection. We have added in an option to use RobustICA which runsFastICA
multiple times and outputs more stable components. As part of this process, if the PCA step defines, X components,robustica
often finds fewer stable components and will output fewer than X ICA components. A benefit of this is that our PCA-based component estimation methods sometimes fail. By givingrobustica
a plausible number of PCA components, it will find a stable number of ICA components leading to a more stable and less arbitrary result. We are still working on improving the stability of the step that initially defines the number of PCA components.🐛 Bug Fixes
plot_component
by @tsalo in Use nearest-neighbors interpolation inplot_component
#1098gscontrol
module by @tsalo in Refactorgscontrol
module #1086Documentation Changes
Other Changes
metrics.dependence
module by @tsalo in Refactormetrics.dependence
module #1088New Contributors
Full Changelog: 24.0.1...24.0.2
This discussion was created from the release 24.0.2.
Beta Was this translation helpful? Give feedback.
All reactions