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Physiopy is a community that develops solutions to improve the use of physiological signals (e.g. respiratory and cardiac related signals) in functional neuroimaging. Part of this effort is dedicated to compile best practices on how to record, clean, and use physiological data.
In this emergent session, we want to invite physiological data experts and newbies alike to discuss the best practices in using physiological signals to denoise neuroimaging data (with a focus on functional MRI). In particular, following our Educational Course, we will discuss how respiratory and cardiac signals, as well as respiratory and cardiac information captured in the neuroimaging data, should (or should not) be used and modeled in an fMRI experiment.
If you are a physiological data user or expert, or if you are simply curious about how you can use physiological data in your functional MRI setting, feel free to join us!
Hello @smoia, You have been assigned to the emergent session 17:45-18:45 GMT+1 on June 21, 2022.
Please confirm that you have seen this reply by giving a thumbs up! This meeting will be recorded hybrid. Whether you are in-person or virtual, this meeting will be held on Crowdcast and streamed into the Gala Room. If in-person, please come to the SEC Armadillo Gala Room 15 minutes before your session to set up. If you are virtual, please join the Crowdcast 10 minutes before your session.
If you are a virtual speaker and did not register for OHBM, please sign this video release form (attached) and email it to [email protected]. Please DO NOT fill out the ID/passport info.
Physiopy open meeting: Best practices in using physiological data to denoise functional timeseries
By Stefano Moia, physiopy community & EPFL
Recording and streaming volunteer
Emergent sessions #7, #3
Short description and the goals for the session
Physiopy is a community that develops solutions to improve the use of physiological signals (e.g. respiratory and cardiac related signals) in functional neuroimaging. Part of this effort is dedicated to compile best practices on how to record, clean, and use physiological data.
In this emergent session, we want to invite physiological data experts and newbies alike to discuss the best practices in using physiological signals to denoise neuroimaging data (with a focus on functional MRI). In particular, following our Educational Course, we will discuss how respiratory and cardiac signals, as well as respiratory and cardiac information captured in the neuroimaging data, should (or should not) be used and modeled in an fMRI experiment.
If you are a physiological data user or expert, or if you are simply curious about how you can use physiological data in your functional MRI setting, feel free to join us!
Useful Links
GitHub organisation
Tagging @smoia @goodalse2019 @iesteves @62442katieb @likeajumprope @DanielHoffmannAyala @benoitberanger @jsheunis @nbuergi @alexsayal @nbeliy @jaetzel @mrikasper @CesarCaballeroGaudes @BrightMG @yarikoptic @soichih @kristinazvolanek
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