Amanda Mejia

@mandymejia.bsky.social

Associate Professor of Statistics at Indiana University, statistical analysis of functional neuroimaging data, PI of the StatMIND lab

What are the downstream implications of censoring high motion volumes in fMRI? Two new preprints find that aggressive censoring leads to noisier FC, more attenuated and variable BWAS, and worse personalized TMS targets. arxiv.org/html/2603.07... www.biorxiv.org/content/10.6...

Excessive data censoring in fMRI undermines individual precision and weakens brain-behavior associations

arxiv.org

Thomas Yeo@bttyeo.bsky.social · 4mo ago

Do you censor high motion frames in fMRI? In two preprints by @twktan.bsky.social @mandymejia.bsky.social, we find that we may be censoring too much! doi.org/10.64898/202... arxiv.org/html/2603.07... Strict censoring leads to worse personalized TMS targets than no censoring, even with high motion!

Looking forward to #OHBM2025 in Brisbane next week! My lab is recruiting a postdoc & neuroimaging analyst/developer to support our NIH funded work in fMRI-based Alzheimer's biomarker development (NIA R01AG083919). Email or DM if you want to meet up in Brisbane! www.statmindlab.com/join-us

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What can we do with functional MRI data? For many years, fMRI has been used to discover population-level patterns of brain function, organization and connectivity, and to understand differences in t...

statmindlab.com