OHBM 2022 posters

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Happy to announce that a bunch of #OHBM2022 abstracts I am part of got accepted for a poster presentation! I'll not be attending the conference in person, but I'll be available online and my colleagues will cover for me in Glasgow. Feel free to reach out if you're interested👇

If you want to learn how to remove the influence of global signal and physiological fluctuations on your estimates of neuronal activity using multi-echo, you may be interested in: "A multi-echo low-rank and sparse method to estimate neuronal signal with less global signals bias"

If you're already blindly estimating neuronal activity with Paradigm Free Mapping, you may want to learn how you can inform your estimates with co-fluctuations of brain regions: "Blind estimation of neuronal-related activity in fMRI informed by co-fluctuations of brain regions"

If you analyze multi-echo fMRI data and denoise it with ME-ICA (btw, you should), you gotta check out Rica. It will make manual classification of components way easier: "Rica - Reports for visualizing and classifying ICA components of multi-echo fMRI" twitter.com/eurunuela/status/1446481761714651136

Actually, if you want to learn more about the tools that are being developed for the multi-echo fMRI community, you cannot miss: "Tedana+: Multi-echo fMRI and related open tools"

@tobias_cris, the master's student @VFerrerGallardo and I supervised made amazing work applying clustering techniques on blindly estimated neuronal activity to find epileptic foci: "Automatic detection of spatio-temporal patterns of interictal epileptic activity with fMRI"

@tobias_cris will also present the framework she developed, which is available on GitHub and contains a bunch of post-processing and clustering techniques: "Clustintime - a computational and visualization tool for time clustering of fMRI data" github.com/Cristina-Tobias/clustintime

Even if I am no longer an active developer for the Physiopy suite, I know super useful tools are being developed to deal with physio data for fMRI. Shoutout to @SteMoia @drombas for their work. "Physiopy: a Python suite for handling physiological data recorded in MRI settings"