Paul Taylor

I just wrote the same words...

Want to learn about FMRI visualization, processing and group analysis? Join us for the next AFNI Bootcamp (Jan. 27-29, 2026) for a fun few days of theory and interactive practicals.

Details+registration for this virtual course:
afni.nimh.nih.gov/bootcamp

delta-diy-mri.github.io

This is a really nice way forward for #fmri and other neuroimaging analyses, now at the voxelwise level! Great ideas, math and implementation by @gangchen6.bsky.social, Yuan Zhong and Jian Kang.

Oh, and it even has a fun acronym, too:
SIMBA -> Scalable Image Modeling using a Bayesian Approach

New AFNI Academy playlist!

This tutorial presents afni_proc.py's quality control HTML for single subject FMRI.

The APQC HTML has systematic views of data and useful derived quantities. Users can instantly rate, comment and query the fully processed subject data.

www.youtube.com/watch?v=hD9z...

That is a legendary place. Enjoy!

Thanks, @gangchen6.bsky.social for leading the charge on pointing out and detailing several really important things to think about at the heart of FMRI studies and interpretation.

Well, scheduling change and *update* on dates: They will now be Sep 26, 29 and 30th, 2025. Hope that still works for those wanting to attend! Apologies for the confusion.

Announcing the next AFNI Bootcamp: Sep 23-25, 2025.

Free, open & virtual.

This "Part 1" will focus on basic visualization and single subject FMRI processing, including discussions of alignment, templates, regression, ROIs and quality control.

Details & registration: afni.nimh.nih.gov/bootcamp

If you’d like to write a commentary to accompany our new article arguing for a rethinking of how we approach understanding visual function in occipitotemporal cortex, now is your chance!

InstaCorr for instant enlightenment! This is a very powerful implementation in Ida, esp. with how it behaves with hi-res data. Take it for a spin, today!

Cool work, and particularly after some recent discussions at OHBM, it is really nice to see all of transparent threshold, beta-weight overlay coloration and two-tailed tests used together in the results reporting. Helps me (and maybe others) see the whole picture clearly.

Indeed, so happy to see this elegant article by @misicbata.bsky.social . It resonate and persuades.

Home 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...

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

The history and future of resting-state functional magnetic resonance imaging - Nature This Review provides an overview of the history of resting-state functional MRI research, which has helped to reveal the spatiotemporal organization of the brain, and discusses how it can contribute f...

When I first started working with resting state fMRI as a postdoc, there was a lot of skepticism about what we could learn from it. 20 years later, it's hard to imagine where the field of neuroscience would be without it. Here's a summary 🧠 www.nature.com/articles/s41...

**FMRI/neuroimaging folks**

Quick reminder @ the next AFNI Bootcamp: May 28-30, 2025. Learn through interactive data analysis!

Day 1-2: data viz, single subject analysis and QC.
Day 3: statistics, results reporting and group analysis.

Details, registration and schedule:
afni.nimh.nih.gov/bootcamp

We are pleased to announce the next AFNI Bootcamp, May 28-30, 2025.

First 2 days: data visualization, single subject analysis and QC. 3rd day: statistics, results reporting and group analysis.

Please see here for details, registration link and preliminary schedule:
afni.nimh.nih.gov/bootcamp

Who knew that breathing was so important? Well, at least in FMRI it is... Nice work by @brightmg.bsky.social & Co!

Nice work, @gangchen6.bsky.social !

Slide from Gang Chen describing how he feels people should approach brain analysis in ways that increase transparency & reproducibility, focusing on encouraging people to share results with the uncertainty that accompanies our inferences.

"Highlight, don't hide" @gangchen6.bsky.social makes an impassioned argument that thresholding (reflective of a "binary" yes/no approach to analysis) holds back our science, making it less transparent and less reproducible.

Instead, be a facilitator - share uncertainty and evidence! #SANS2025

and @jalilrt.bsky.social !

The only binary decision that is good here: *do* use transparent thresholding, yes!

Well, you were a very early adopter of this, thanks for working on this and continuing to push for better thresholding/visualizations so many years later.

A lot of work to put together, but it was fun and educational (for me at least!). Thanks for adding a lot of careful argumentation and statistical insight, in particular.

Great to work with you on this. I think is almost exactly a year since we were Bootcamping with you in Querétaro? Looking forward to the next collaboration!

Ha, perfectly said.

Ah, shining a Bright light on the data---sounds excellent!

Glad to collaborate on this, thanks @brightmg.bsky.social .

Indeed, I thought "Revenge of the Dead Salmon" might have been a good subtitle, but it is actually bringing a positive message, so that didn't fit...

and @manshu.bsky.social , also should have found this handle to add earlier

and @fsleyes.bsky.social (sorry, should have added this handle above)