Denis Chaimow

@denischaimow.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.

Karolis Degutis@karolisdegutis.bsky.social · 11mo ago

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.

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.

bioRxiv Neuroscience@biorxiv-neursci.bsky.social · 11mo ago

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

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

Although working memory reliably activates the dorsolateral prefrontal cortex (dlPFC), the functional significance of its distinct cytoarchitectonic layers is not well understood in humans. A recent f...

biorxiv.org