iiinova — where your digital self keeps evolving

Gang Chen @gangchen6.bsky.social · 08/09/2026

Does the brain really favor a particular threshold of statistical evidence, or should one simply let the statistical tail wag the science dog? Why not show the continuity of evidence in fMRI results rather than drawing an arbitrary boundary? More information, greater transparency & reproducibility.

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 31/08/2026

Have you ever felt like something was missing from your #fmri results? Have you been worried about potential reproducibility issues? Well, this new @natmethods.nature.com article with 40+ coauthors shows how the simple change to transparent thresholding helps both. Go Figure! rdcu.be/B4tikBETdQZa

A comparison of old and new thresholding approaches for fMRI data. The newer, transparent thresholding allows for interpreting context, more complete modeling, a reduction of biases and an increase in meaningful content. This all leads to more accurate interpretations and improved reproducibility evaluations.

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Gang Chen @gangchen6.bsky.social · 15/06/2026

Know someone interested in fMRI methods, software development, statistics, machine learning, and neuroimaging? Please share and encourage them to apply.

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Gang Chen @gangchen6.bsky.social · 15/06/2026

If you know someone who speaks fluent fMRI, statistics, coding, and curiosity, encourage them to apply.

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Reposted by Gang Chen

Rosanna Olsen @rosannaolsen.bsky.social · 22/01/2026

PhD students: Do you have experience with structural or fMRI data analysis? Are you interested in data harmonization, open science, and cognitive aging? 🧠📊 💻 If yes, this post-doc position in my lab is perfect for you! Please share with your networks! jobs-ca.silkroad.com/Baycrest/Car...

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 07/01/2026

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

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Gang Chen @gangchen6.bsky.social · 18/11/2025

Is the “standard workflow” holding back fMRI analysis? Mass-univariate analysis is still the bread-and-butter: intuitive, fast… and chronically overfitted. Add harsh multiple-comparison penalties, and we patch the workflow with statistical band-aids. No wonder the stringency debates never die.

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 17/11/2025

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...

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Gang Chen @gangchen6.bsky.social · 04/11/2025

Representational Similarity Analysis (RSA) is a popular method in cognitive neuroscience for comparing representational patterns across conditions. It follows a "correlation-of-correlations" logic: compute (dis)similarities within each representational space, then correlate them across spaces.

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Gang Chen @gangchen6.bsky.social · 20/09/2025

Data only shows associations. Turning those into claims about mechanism or causation? That requires a Rosetta Stone of prior knowledge + theory. Resting-state fMRI is purely observational; correlation is its currency. From this, plenty of "theoretical toys" about brain function can be built...

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Gang Chen @gangchen6.bsky.social · 27/07/2025

Blind data cleaning, automated pipelines and dichotomized results may give the illusion of standardization, rigor and reproducibility, but they risk turning science into ritual over inquiry. When mechanisms are obscure, don’t pretend they’re fixed; perhaps embrace variability and think creatively?

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 22/05/2025

**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

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 07/05/2025

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

afni.nimh.nih.gov

AFNI Bootcamp: May 28-30, 2025 | afni.nimh.nih.gov

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Gang Chen @gangchen6.bsky.social · 26/04/2025

Science doesn’t grow in a vacuum; it thrives on shared ideas and fresh perspectives. Thanks to #sans2025 for building bridges and connecting the dots, and to @elisabaek.bsky.social & @jfguassimoreira.bsky.social for creating the opportunity!

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Gang Chen @gangchen6.bsky.social · 24/04/2025

For those who think more data just means more headcount, here’s a quirky twist: the number of data points per individual actually matters--a lot. If you're into a bit of rigor, this article highlights a factor that’s often overlooked. Thanks for the shoutout! www.sciencedirect.com/science/arti...

sciencedirect.com

Hyperbolic trade-off: The importance of balancing trial and subject sample sizes in neuroimaging

Here we investigate the crucial role of trials in task-based neuroimaging from the perspectives of statistical efficiency and condition-level generali…

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Gang Chen @gangchen6.bsky.social · 12/04/2025

The mind craves binaries: good or bad, true or false, on or off. It’s tidy. It’s comforting. But the world rarely plays along. Reality tends to unfold in gradients, not in absolutes. And so does statistical evidence. Data analysis doesn’t speak in black and white, but in shades of uncertainty.

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 02/04/2025

Do you like genes and estimating heritability? Then @gangchen6.bsky.social and D. Moraczewski have important news for you. Conventional estimation methods ignore measurement error, leading to a bias. Don't worry: hierarchical modeling to the rescue! www.frontiersin.org/journals/gen...

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Gang Chen @gangchen6.bsky.social · 22/03/2025

The p-value arms race has reached a new milestone -- 10⁻²⁶². At this quantum level of super precision, statistical modeling in quantitative genetics is on the verge of breaking the uncertainty principle.

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Gang Chen @gangchen6.bsky.social · 07/03/2025

Another great example of modeling philosophy: Respect the data-generating process as much as the theoretical constructs when building models.

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Gang Chen @gangchen6.bsky.social · 20/01/2025

Research is the ultimate adventure--riddled with unexpected hurdles and moments of frustration. Yet, it's the rare light at the end of the tunnel and the thrill of surprises that illuminate the path and propel the journey forward.

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Reposted by Gang Chen

Paul Taylor @afni-pt.bsky.social · 20/12/2024

Maybe slightly odd timing, but we'd like to announce: A new AFNI Bootcamp for FMRI/MRI, Jan 29-31, 2025. This part will focus on group analysis, statistics, surface analyses, results reporting and more. This event will be virtual. Please see here: discuss.afni.nimh.nih.gov/t/afni-bootc...

discuss.afni.nimh.nih.gov

AFNI Bootcamp, Part 2: Jan 29-31, 2025 (Virtual)

We are pleased to announce a new AFNI Bootcamp, taking place Jan 29-31, 2025. Registration is free and open to both NIH and non-NIH researchers. The course is aimed at people who have some familiarit...

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Gang Chen @gangchen6.bsky.social · 19/12/2024

Let’s flip the script on calling a spade a spade: 1) Does calling a correlation a correlation hurt its feelings or make it less accurate? 2) Does calling a correlation a correlation mislead the public or cause mass confusion?

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Gang Chen @gangchen6.bsky.social · 28/11/2024

Programming: where failure lurks around every corner, and debugging feels like trudging through a minefield. Yet, there's magic in the madness—when the code finally works and offers a generic solution, it's like wielding a Swiss Army knife with a triumphant smile.

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Reposted by Gang Chen

Daniel Borek @danielborek.bsky.social · 24/11/2024

Does anyone know of an open or publicly available by request #EEG or #MEG dataset suitable for studying the interaction between circadian rhythms and changes in the signal?

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Gang Chen @gangchen6.bsky.social · 22/11/2024

Science is about uncovering how causes create effects. Covariate selection may seem like a small step in model building -- but it can spark big chaos if mishandled. Glad to share the lesson we learned: don’t let your model wag the science; let science lead the way in model building.

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