Thanks to all co-authors Damon Pham, Joanne Hwang, @nichols.bsky.social @sneuroble.bsky.social @ted-satterthwaite.bsky.social @twktan.bsky.social @rubykong92.bsky.social @shansiddiqi.bsky.social and especially @bttyeo.bsky.social for being an indefatigable partner in crime!
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...
For HCP data, we use a lagged version of filtered FD, similar to what was recommended in Fair et al. (2020) and Power et al. (2019)
It depends on the processing. In 36P-processed data, we see distance dependence that censoring alleviates, but with ICA-FIX we don't see any distance dependence in the within-subject QC-FC. Even in 36P-processed data, lenient censoring seems to get rid of most of the distance dependence.
Yes, it totally is! I’m pumped to see AFNI making Bayesian modeling for fMRI widely accessible.
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
Had a blast talking with Andy Jahn about individualized neuroimaging analysis and Bayesian approaches on Andy’s BrainCast. Andy, thank you for being a wonderful and engaging host! youtu.be/nctWLaZWsQE?...
Opaque thresholding hides information: context around statistically significant clusters is removed, treats subthreshold regions as having no activity. Transparent thresholding shows information: context around significant clusters is displayed, can observe relative importance of subthreshold regions.
Transparency matters when reporting results in neuroimaging! arxiv.org/abs/2504.07824 This could be a landmark in setting publishing standards for interpretability/reproducibility. Stellar work by @afni-pt.bsky.social @fmri-today.bsky.social @brightmg.bsky.social @gangchen6.bsky.social et al.
Thank you to Robert Welsh, Vincent Koppelmans, @andreyshabalin.bsky.social and @annadocherty.bsky.social organizing this course over the last 5 years.
Next up, @richardfbetzel.bsky.social teaches networks, @annadocherty.bsky.social teaches genetics, @fmristats.bsky.social teaches prediction and multimodal.
Excited to be in Salt Lake City for our 2-week NIH training course in Advanced Statistics in Neuroimaging & Genetics! Today-tomorrow I'm teaching longitudinal & Bayesian modeling in neuroimaging to a stellar group of students. medicine.utah.edu/psychiatry/a...
A collage of figures from the 350 papers published in Imaging Neuroscience in 2024.
2024 was the first full calendar year for Imaging Neuroscience @mitpress - 350 papers published.
We're proud of how the brain imaging community enthusiastically embraced open access non-profit publishing. Our aim is to be *your* journal.
Full size PDF: drive.google.com/file/d/1M170...
Come learn how easy & powerful spatial Bayesian fMRI modeling can be with the BayesfMRI package! Talk at 11:30 today in Hall D2, or stop by poster 1325. Demo link at statmindlab.com/software. #ohbm2024 @fmristats.bsky.social
Hey @ohbmtrainees.bsky.social, my lab statmindlab.com is recruiting for a postdoc and a neuroimaging data analyst / software developer. Message or email afmejia@iu.edu if you're interested in meeting up during #OHBM2024!
Well, hello Blue Sky! It seems nice over here. Let's keep spreading the word! #OHBM2024