May multi-echo fMRI users meeting and tedana v25.0.0
tedana-newsletter
Multi-echo fMRI users meeting
The recording of our first multi-echo users meeting is now available on YouTube.
We have scheduled our second meeting for Tuesday, May 27 at 8:00 PDT, 11:00 EDT, 15:00 UTC, 17:00CEST, 0:00 (Wednesday) KST, 1:00 (Wednesday) AEST. Check your time here.
The goal of these meetings is to gather online several times per year to discuss issues relating to multi-echo fMRI. This can include practical ask-me-anything sessions, discussions of best practices or challenges, presentations of works-in-progress, and presentations of published work. While tedana developers are initiating this effort, we welcome topics that aren't directly about tedana and we welcome others who might want to help organize and plan. Please take this survey to give feedback (if you attended the first session or watched the recording) and to share ideas for topics or presenters for the second meeting.
tedana v25.0.0 released!
This update includes many moderate and small changes to enhance the functionality of tedana and to help users better check and understand their results.
Enhancements include:
Breaking change: ICA components were multiplied by -1 so that the component weight maps had more positive than negative values. The weight maps were saved flipped, but the time series were not. This was documented and internally handled correctly, so it wasn't a bug, but it was unnecessarily confusing. Now the time series are also flipped. This means, if you run tedana with a predefined mixing matrix some of the component time series may be flipped in the outputted mixing matrix. (#1212)
EPTI sequences can be used to collect many echoes, but these echoes are not independent. This option lets users set the number of independent echoes (i.e. the number of basis functions used to reconstruct EPTI data) and means tedana will now work properly with EPTI data (#1177).
When robustICA is used to generate more stable ICA components, tedana now adds an interactive figure to our report. The figure is described in our documentation. This visualization is still a work-in-progress but we decided it was better to add so that people can use it and provide feedback (#1153). We also log the number of times ICA fails to converge when running robustICA and output a warning message if it fails more than 10% of the time (#1218).
A new quality check measure to see how much of the variance in accepted components can be explained by rejected components (#1208).
Users can provide tags when running ica_reclassify, which is useful if classification decisions are being done by another pipeline or if users want to log who conducted a manual reclassification (#1200).
Full release notes include more enhancements & some minor bugs: https://github.com/ME-ICA/tedana/releases/tag/25.0.0
Getting help with tedana or multi-echo fMRI
Questions about multi-echo fMRI and tedana usage or development can be posted at https://neurostars.org with tedana or multi-echo tags or as an issue or discussion at https://github.com/ME-ICA/tedana or https://mattermost.brainhack.org/brainhack/channels/tedana. We actively monitor all three message boards and try to efficiently respond.
Contributors