btw finally tweeted about the data (also emailed kevin murphy, who doesn't seem to be on twitter): https://twitter.com/taylor_salo/status/1428734384472010755
I've moved a repo of mine over to the ME-ICA org (https://github.com/ME-ICA/ddmra) in the hopes that others will be willing/able to use and contribute to it. I'm using the DDMRA analyses in my Power replication, so it's directly applicable to multi-echo data and will probably be part of any tedana validation analyses we might do in the future. Just wanted everyone to be aware of that.
I've also started working on a template repository (https://github.com/ME-ICA/template-package) with all of the packaging and CI stuff we use in tedana and other ME-ICA repos. I think it could be useful for future packages (and for synchronizing our packaging across packages). It's not complete yet though.
Hello! I have just finished replicating the current
tedana reports in React in what I decided to call Rica (Reports for ICA). In Spanish, rica means tasteful or rich. I thought it was a good-sounding, short name for the tool. Before I start working on the manual classification of components, I'd really like to get some feedback from you. If you happen to have 5 minutes to test it out, that would be great. You can find it here: https://github.com/ME-ICA/rica
I tested out RICA. Great start! It looks really nice and smooth so far. The one quirk I see so far is that, whenever I click on anything, it looks like the pie chart and scatter plots have a .5sec animation where the same plots are refreshed. I also see the component time series and maps on the right, but the presented component isn't marked in the pie chart or scatter plots.
The agenda for tomorrow's meeting is now posted at #816. If possible, read in advance. I added a lot of text on the current status of metric modularization and it would be good if a few people had a chance to think a bit before the meeting.
I know I've am behind on the study list - but I didn't think I had missed this much:
BTW the multi-echo data analysis book is now building (without executing the code, yet): https://me-ica.github.io/multi-echo-data-analysis/
In case you didn’t know about this little trick for GitHub issues: https://twitter.com/simonw/status/1449453462282928128?s=21
I'll add the labels and flip the kappa and rho values some time this week
I have no idea how Netlify will hold, so this is just a test atm
honestly i have no clue how netlify works, so that might be a terrible question
If you're worried about the files being stored on the server, Rica reads some of the files in the directory but doesn't save them or do anything else with them. I assume they get "stored" in your local cache until you close the tab.
There's an fMRIPrep question from a tedana user at https://neurostars.org/t/transforming-from-native-bold-space-into-t1w-space/20540 Any fMRIPrep users here can answer it? @tsalo?
I'll comment something, nicely, to that effect
Two questions:
- Does anyone have any BIDS-ish AFNI preprocessing derivatives? They doesn't have to be completely BIDS-Derivatives compliant, per today's discussion, but it would be good to see what the problems are with making them compliant.
- How would folks feel about using Mattermost? I haven't seen a lot of GitHub-only users commenting here, so I'm wondering if sticking with Gitter is worth it.
Are there other alternatives that could be interesting/useful for the future?
@jbteves That's the problem I've been having with Gitter!
@eurunuela The only alternative I can think of is Discord. nilearn is using it for their office hours. However, we have an existing tedana channel in the BrainHack Mattermost for hackathons and conferences, so most of us are probably already on it.
I'm in favor of moving to mattermost then, provided that people can be patient with me forgetting about it and being slow to respond from time to time.
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I only check gitter when I get email notifications. If I set up the same thing with a tedaa channel on mattermost, it will be the same for me. I always have slack open, but I'm not particularly happy with slack.
I played around a bit with the multi-echo Jupyter book over the break, and was hoping folks could weigh in on how best to organize the pages on (1) signal decay and (2) measuring TE dependence with tedana. Here's the link if anyone's willing/able to take a look: https://me-ica.github.io/multi-echo-data-analysis/
ATTENTION: We have decided to move our informal conversations from Gitter to Mattermost. Please join https://mattermost.brainhack.org/brainhack/channels/tedana if you want to chat with the tedana dev team informally.