Romy Lorenz
@romy-lorenz.bsky.social
270 followers 370 following 16 posts
Max Planck Research Group Leader at MPI for Biological Cybernetics in Tübingen
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romy-lorenz.bsky.social
What started as a journal club on layer decoding turned into a project thanks to @karolisdegutis.bsky.social. Our preprint challenges a widespread assumption in the field: MVPA is not immune to vascular confounds in laminar GE-BOLD decoding, as shown using a mechanistic laminar response model.
karolisdegutis.bsky.social
Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isn’t immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.
Reposted by Romy Lorenz
rodbraga.bsky.social
📣 New preprint from the Braga Lab! 📣

The ventral visual stream for reading converges on the transmodal language network

Congrats to Dr. Joe Salvo for this epic set of results

Big Q: What brain systems support the translation of writing to concepts and meaning?

Thread 🧵 ⬇️
Reposted by Romy Lorenz
imagingneurosci.bsky.social
New paper in Imaging Neuroscience by Jingyuan E. Chen, Jonathan R. Polimeni, et al:

Differentiating BOLD and non-BOLD signals in fMRI time series using cross-cortical depth delay patterns

doi.org/10.1162/IMAG...
Reposted by Romy Lorenz
rademaker.bsky.social
We’re looking for a postdoc to join our Max Planck group in Germany some time in 2026. If you have computational and/or neuroimaging expertise, and are interested in questions intersecting perception and cognition, please reach out! I’ll also be happy to chat at the #Bernsteinconference this week.
Reposted by Romy Lorenz
jingnandu.bsky.social
Our new paper is out now in Neuron! 🎉 With @vaibhavtripathi.bsky.social @maxwellelliott.bsky.social Joanna Ladopoulou, Wendy Sun, Mark Eldaief, and Randy Buckner

Paper link: www.sciencedirect.com/science/arti...
Reposted by Romy Lorenz
jbarbosa.org
Very excited for this year Bernstein! @bernsteinneuro.bsky.social

We'll bring a bunch of new work, here's a thread with the summaries.

Please check them out if you are interested in (low rank) RNN and distributed computations.
Reposted by Romy Lorenz
kristorpjensen.bsky.social
I’m super excited to finally put my recent work with @behrenstimb.bsky.social on bioRxiv, where we develop a new mechanistic theory of how PFC structures adaptive behaviour using attractor dynamics in space and time!

www.biorxiv.org/content/10.1...
Reposted by Romy Lorenz
layerfmri.bsky.social
There is going to be an exiting workshop on advanced fMRI end of October in Erice, Sicily (Italy).

The agenda looks just at great as the location.

ismrbf.marbilab.eu/events/7-xiv...
romy-lorenz.bsky.social
We recently also replicated this FPN fractionation in densely- sampled subjects at 7T and found this FPN subnetwork to strongly couple with the dorsolateral DMN subnetwork.
romy-lorenz.bsky.social
It’s an FPN subnetwork: at rest, it couples more strongly with the rest of the FPN than with the DMN. During some tasks it shifts toward the DMN, but for cognitive control it ramps up connectivity with the FPN. Good reference: doi.org/10.1073/pnas...
romy-lorenz.bsky.social
Amazing, thanks so much! Will reach out via email!
romy-lorenz.bsky.social
I am planning to do the same in my lab - would love to hear more how you decided to design such a session!
romy-lorenz.bsky.social
Replicability isn’t just a VASO issue — it’s a challenge across the (laminar) fMRI field. However, I argue that low SNR makes VASO especially hard: tricky to detect signal and even harder to replicate. I’m not pushing GE-BOLD for laminar fMRI, but “just use VASO” oversimplifies the current problems.
romy-lorenz.bsky.social
Compared to laminar MVPA in GE-BOLD, these are not many studies :) I know your work (RSA in Kenshu paper), Polina's preprint + Daniel's preprint (where it becomes evident that decoding with VASO is hard and in his case looks similar to GE-BOLD on the group level). Is Insub Kim's work published yet?
romy-lorenz.bsky.social
If replication isn’t possible due to physiology/attention, we’d be giving up on replicability as a field. Did you engage with our paper and the original? Attention is measured via task performance, and the original study showed very large effects in individuals, so replication is a fair expectation.
Reposted by Romy Lorenz
hakwan.bsky.social
does someone good at coding & analysis want to work remotely w/ us in the coming few months (before end of 2025), as a paid consultant? project will be on neurofeedback (fMRI, ECoG, calcium imaging). we'll work towards developing the experiments & analysis pipelines together. if so pls DM me ur CV🧠📈
romy-lorenz.bsky.social
I haven't seen that many papers yet using MVPA in VASO. With respect to our replication study, main thing is the ROI selection I would say and not segmentation issues as we did a lot of control analyses including manual segmentation.
romy-lorenz.bsky.social
We haven’t managed to get reliable decoding with VASO yet, even for simple contrasts. My sense is that most of the field will continue to rely on GE-BOLD for MVPA, which is exactly why we thought our paper might be useful!
Reposted by Romy Lorenz
mmarneweck.bsky.social
Run don’t walk to the #Neuro4Pros summer school if it happens again and you’re an early career prof

Thanks again for the absolute best time ⭐️ @gunnarblohm.bsky.social @kordinglab.bsky.social @yaelniv.bsky.social @meganakpeters.bsky.social @patrickmineault.bsky.social, and Hannah Bayer
gunnarblohm.bsky.social
Having fun facilitating this amazing group of young Profs at the #Neuro4Pros workshop with @kordinglab.bsky.social and @meganakpeters.bsky.social, @yaelniv.bsky.social, and Hannah Bayer.

Watch out world: this is the next generation of leaders!

compneurosci.com/Neuro4Pros/i...
romy-lorenz.bsky.social
What started as a journal club on layer decoding turned into a project thanks to @karolisdegutis.bsky.social. Our preprint challenges a widespread assumption in the field: MVPA is not immune to vascular confounds in laminar GE-BOLD decoding, as shown using a mechanistic laminar response model.
karolisdegutis.bsky.social
Happy to see this out: our new preprint shows that laminar GE-BOLD fMRI decoding isn’t immune to vascular draining biases. Simulations reveal false positives due to multivariate signal spread across layers, but oversampling + deconvolution can (sometimes) improve specificity.