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Marco Barilari

@marcobarilari.bsky.social

111 followers 183 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

Posts Replies Media

Marco Barilari @marcobarilari.bsky.social · 10/09/2026

7/7 The study was carried out at the MRI center @giga-crc-hi.bsky.social and supported by #FNRS @uclouvain

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Marco Barilari @marcobarilari.bsky.social · 10/09/2026

6/7 This work was not possible without the amazing collaboration of co-authors @layerfmri.bsky.social @drjacek.bsky.social Eléonore Giraudet @remigau.bsky.social Marc Van Baelen and the continuous supervision of @olicolli.bsky.social , and last but not least all the participants.

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Marco Barilari @marcobarilari.bsky.social · 10/09/2026

5/7 In conclusion: Early visual deprivation allows auditory info to recruit ascending, feedforward pathways. In congenital blindness, the occipital cortex switches from vision to audition while preserving its functional architecture.

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Marco Barilari @marcobarilari.bsky.social · 10/09/2026

4/7 What we found: In early-blind participants, auditory motion produced a feedforward-like laminar profile in hMT+/V5 remarkably similar to the profile of visual motion in sighted people.

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Marco Barilari @marcobarilari.bsky.social · 10/09/2026

3/7 Why look at cortical layers? Feedforward and feedback inputs leave unique laminar signatures. Beyond asking if a region show enhanced responses to another modality, 7T layer-fMRI reveals HOW that information actually enters the cortical circuitry.

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Marco Barilari @marcobarilari.bsky.social · 10/09/2026

2/7 We have known for more than 3 decades that the occipital cortex of early blind people enhances its response to sounds. In particular, moving (vs static) sounds recruit hMT+/V5, a region typically engaged in processing visual motion in sighted. A result we again reproduce in our study.

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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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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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