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Marco Barilari

@marcobarilari.bsky.social
109 followers 182 following 7 posts

Currently PhD student at @UCLouvain_be in the www.cpplab.be 🧠 working with 7T MRI 🧲🧲🧲; based in Bruxelles 🍟🍻🍫; 👨🏻‍💻https://github.com/marcobarilari

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Marco Barilari @marcobarilari.bsky.social · 10/09/2026
New preprint from the CPPlab - our first 7T MRI study How does sound reach the occipital cortex in early blind people? Using 7T VASO layer-fMRI, here the first functional sub-mm dataset in blind people to test if auditory motion engages hMT+/V5 layers via feedforward or feedback lnk.ua/kjYccwS9Y 🧵👇
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Reposted by Marco Barilari
Paul Taylor @afni-pt.bsky.social · 31/08/2026
Have you ever felt like something was missing from your #fmri results? Have you been worried about potential reproducibility issues? Well, this new @natmethods.nature.com article with 40+ coauthors shows how the simple change to transparent thresholding helps both. Go Figure! rdcu.be/B4tikBETdQZa
A comparison of old and new thresholding approaches for fMRI data. The newer, transparent thresholding allows for interpreting context, more complete modeling, a reduction of biases and an increase in meaningful content. This all leads to more accurate interpretations and improved reproducibility evaluations.
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Reposted by Marco Barilari
Faruk Gulban @ofgulban.bsky.social · 11/06/2025
In this blog post I am exploring the strange tension between rigor, reach, and recognition in modern science. What we gain (and lose) by just publishing the PDFs: thingsonthings.org/just-publish...
Throughout history, people have shared ideas through the dominant communication tools of their time, cave paintings, handwritten letters, printed pamphlets, digital journals, blogs... What once seemed informal became formal. What once didn’t “count” eventually did. Today’s citation-worthy PDF may be tomorrow’s quaint artifact.
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Reposted by Marco Barilari
Paul Taylor @afni-pt.bsky.social · 11/04/2025
The result of a large (42 authors!) collaboration: "Go Figure: Transparency in neuroscience images preserves context and clarifies interpretation" arxiv.org/abs/2504.07824 TL;DR: The FMRI world can (and should) improve results interpretation and reproducibility *today*, via transparent thresholding.
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Reposted by Marco Barilari
layerfmri.bsky.social @layerfmri.bsky.social · 11/02/2025
The layer-fMRI field has changed since the pandemic: -> studies are larger -> majority uses 3D readouts -> a bit more sharing -> majority uses non-BOLD contrasts
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