Vascular draining confounds laminar decoding in fMRI https://www.biorxiv.org/content/10.1101/2025.08.26.672278v1

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.

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.

I’m happy to share that our manuscript on the cortical depth-dependency of the GE- and SE-BOLD point spread function at 7 Tesla is now available on bioRxiv! www.biorxiv.org/content/10.1...

Very happy to share our work on the neural dynamics of visual working memory maintenance during sensory distraction; now out as a VOR on eLIife: elifesciences.org/articles/99290

New paper in Imaging Neuroscience by Fakhereh Movahedian Attar, Nikolaus Weiskopf, et al: Short association fibres form topographic sheets in the human V1–V2 processing stream doi.org/10.1162/imag...

Excited to share our latest preprint: "Challenges in replicating layer-specificity of working memory processes in the human prefrontal cortex.”, where we attempted to replicate layer-specific fMRI findings in the human dlPFC during a working memory task. www.biorxiv.org/content/10.1...

Challenges in replicating layer-specificity of working memory processes in human dlPFC https://www.biorxiv.org/content/10.1101/2025.01.31.635930v1