#McLeanHospital #NIDAnews #noiseassignal #fMRI #connectivity #restingstate
Check it out! Dr. Cole Korponay just uploaded a preprint of our new paper with Dr. Amy Janes. This is a really intriguing finding that seems to have been hiding in plain sight in pretty much every dataset we’ve looked at so far…
https://www.biorxiv.org/content/10.1101/2023.09.08.556939v1

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Low frequency physiological noise increases over time within and between fMRI scans. This is a real problem for connectivity measurements (especially dynamic ones!) if you don’t deal with it. Fortunately, we found that you can efficiently detect and remove it.
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Rapidtide detects and removes this noise very effectively (in addition to all the other cool things it does!). You can go get it here for the low, low price of free. https://github.com/bbfrederick/rapidtide (https://github.com/bbfrederick/rapidtide)
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GitHub - bbfrederick/rapidtide: rapidtide - a suite of programs for doing time lag correlation analysis on fMRI data

rapidtide - a suite of programs for doing time lag correlation analysis on fMRI data - GitHub - bbfrederick/rapidtide: rapidtide - a suite of programs for doing time lag correlation analysis on fMR...

GitHub
If you are interested in helping follow up on findings like this, I’m looking for a postdoc (T32 supported. US citizen or green card needed).