Top Tweets for #FMRIPREP
๐Excited to share our #preprint on DeepPrep: a high-speed, scalable preprocessing pipeline for s/fMRI, empowered by SOTA #deeplearning algorithms. What takes #fMRIPrep 7 hrs, DeepPrep achieves in just 40 mins! Dive into the details๐งต @hesheng3 @sattertt
https://t.co/f77plQ9hn3
Finally, it is important to emphasize transparent & open software development, specifically @leaddbs, #fMRIprep, @BIDSstandard, w/ @afids_project & data (https://t.co/JOTiY02efl) making this analysis possible. #openscience #stereotaxy
Data/scripts: https://t.co/IZ4XWPG9SR [9/9]
5. Tidy up "junk" files
Energy is needed to store and backup data. you can reduce your footprint by deleting files you don't need. For #fMRIPrep, junk files make up to 96% of total size.
Our tool fMRIPrepCleanup, automatically finds/removes this data: https://t.co/x5HjFdEEbx
3. Preprocess conservatively
Reduce compute required for your research by only performing preprocessing steps that are necessary. In our recent study, we provide tips on how to minimise emissions from #fMRIPrep while still getting good quality data:
https://t.co/vBKz9R5vx6
Attending @russpoldrack's live talk! Looking forward to gaining insights from the #fmri preprocessing pipeline #fMRIPrep, applying some ideas with our @EegManyPipes project, especially exploring the "glass box" visualization! #OHBMBrainhack #workflows
โ๐ง๏ธGood morning, BrainHackers! On this rainy morning in Montreal, we are overjoyed to kick off the third day of our adventure! This #OHBMBrainHack has been truly awe-inspiring! Keep an eye out for announcements during the day!
Anyone collecting #multiecho #MRI data (including phase reversed images) and using #fMRIPrep? How are you setting up the AP/PA pairs in distortion correction? @OHBM_Trainees
#DeepMReye is out!
Use #deeplearning to perform #eyetracking in #fMRI without camera! https://t.co/qx2OcwrUQ4
@CYHSM & I are thrilled to finally share our Code + Data + Notebooks + User Documentation + Paper @NatureNeuro!
With @doellerlab @KISNeuro @MPI_CBS Thread below!๐1/7
Without Twitter, I never would have applied for @kylesburger's reproducible neuroscience workshop or @neurohackademy... Since then, my PhD and now postdoc work involves using or helping others use #fMRIPREP on a weekly basis, & I recently worked on a manuscript with @oesteban ๐ฅฒ
Check out the #COGNESTIC's 'fMRI Analysis' materials on https://t.co/7FLdmkHhGn
Any comments/suggestions for future improvement are welcome!
@BIDSstandard, #heudiconv, #PyBIDS, #MRIQC, #fMRIPrep, #Nilearn
preprocessing rs-fMRI with #fmriprep for the first time, are there parameter considerations (e.g., output spaces) that differ significantly from preprocessing a functional task?
But does the framework generalize? To demonstrate its potential for transparent sharing we adapted it to open data (@studyforrest) and open source software (#fmriprep). Thanks to @ReproNim and @yarikoptic for readily providing it in a container collection!
Thanks to all contributors to this release, whether code, bug reports or doc improvemnts. A special thanks to @HippocampusGirl, who's put a lot of work into performance improvements up and down the dependency stack. #fmriprep
One thing to note is that fieldmap-less SDC is temporarily disabled in the 21.0.0rc0 pre-release, but it will be back before the full 21.0.0 release! #fmriprep
@russpoldrack @rotembot @oesteban @effigies I think coregistration failure across anatomical and functional images one of the most common issues Iโve seen. The animated plots in #fmriprep are really good for this.
You ran #MRIQC and #fMRIPrep on your large fMRI dataset. What is your next step? How do you use the reports/data created to ensure quality and make decisions about the next steps? Very interested in what different labs/people are doing. @StanfordCORES
My coding partner is VERY excited that we got #fMRIPrep to start processing scans separately by session! ๐ฅณ
@Marie_Eikemo returned from maternity leave to run our @ERC_Research project w/ @GuroLoseth & me, solved a million problems finally allowing us to run #fmriprep, is a key contributor to ~all LABlab projects + had a paper accepted on mental health of children exposed to opioids /4
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