A video of a patient who responded well to personalized TMS: www.temasekreview.com.sg/community-st...

Thomas Yeo@bttyeo.bsky.social · 2mo ago

Our TMS algorithm is now published in @imagingneurosci.bsky.social doi.org/10.1162/IMAG... If you are coming to @ohbmofficial.bsky.social @ohbmtrainees.bsky.social, come check out our poster about our open label trial. Poster number 1152 Monday, Jun 15 | 14:45-15:45 Tuesday, Jun 16 | 13:30-14:30

Excited that Imaging Neuroscience has gotten its impact factor. Note that the impact factor is artificially low for the first year of any journal (because of the way it is calculated), so we expect the impact factor to improve next year. See more statistics below

Imaging Neuroscience@imagingneurosci.bsky.social · 2mo ago

A note on first IF for new journals: IF is based on citations in year 3 of papers published in years 1 and 2. As papers from year 1 have longer to accrue citations, the smaller launch-year output reduces the first combined calculation. This effect disappears the following year.

Our first Impact Factor is 3.0 — an important milestone for a new journal. As with most new journals, the first IF is affected by the smaller publication volume in the launch year. Latest citation data are encouraging, and the journal’s IF is set to rise in 2027.

For those at @ohbmofficial.bsky.social @ohbmtrainees.bsky.social come check out our poster on using deep learning to accelerate biophysical model fitting & resulting insights into lifespan changes in E/I ratio! Poster number 2304 Wed, June 17 | 13:45-14:45 Thurs, June 18 | 14:45-15:45

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

Updated preprint: doi.org/10.1101/2025... We have improved DELSSOME and showed that we can accelerate the estimation of two new biophysical models. By collating 12,005 individuals, we derive normative trajectories of cortical E/I ratio across the lifespan ...

One interpretation: baseline salience FC reflects the attractor basin characteristics of that network or how reliably it settles into coherent functional states. Low FC = shallow, poorly defined basins. The network can get there, but with more variability and less precision.

Attending #OHBM2026.🇫🇷? You will not want to miss Monday morning's keynote by Nanthia Suthana (chaired by yours truly 😊). I can't wait!!

The Organization for Human Brain Mapping@ohbmofficial.bsky.social · 2mo ago

🔦 Nanthia Suthana, Ph.D. 🎤 Mapping the Human Brain in Naturalistic Environments 🧠 Using intracranial recordings, EEG, wearables, eye-tracking, and VR/AR, Dr. Suthana studies memory, navigation, and emotion during real-world behavior. 🔗 Learn more: tinyurl.com/ynzhsxvy

Congrats to @shellakeilholz.bsky.social and thank you to the amazing leadership by our outgoing EIC @fmrib-steve.bsky.social Hope the community can continue to support the journal to bring imaging neuroscience to new heights!

Imaging Neuroscience@imagingneurosci.bsky.social · 2mo ago

We are delighted to announce that Shella Keilholz will shortly become the Editor-in-Chief of Imaging Neuroscience, following the selection process described in our Author Guide. Steve Smith is stepping down as EiC after serving for three years, following the transition from NeuroImage.

Thank you for sharing!

This slide was particularly popular. Never had so many people cheering one of my slides before. haha

Thomas Yeo@bttyeo.bsky.social · 2mo ago

For those who are attending @ohbmofficial.bsky.social brainhack, I will be giving a short presentation of this work at the neuroimaging statistics workshop, co-hosted with brainhack: sites.google.com/view/nsw2026

It was great fun giving the talk at the neuroimaging statistics workshop. Happy to share the slides here: www.dropbox.com/scl/fi/8riom... Hopefully, the talk was pitched at a level that was understandable to non-statisticians!

Thomas Yeo@bttyeo.bsky.social · 3mo ago

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N

For those going to @OHBM @OHBM_Trainees you can check out our poster on spectral normative modeling! Poster Number: 1054 Monday, June 15, 14:45-15:45 Tuesday, June 16, 13:30-14:30 Our preprint has also been massively updated: doi.org/10.1101/2025...

Sina Mansour L.@sinamansourl.bsky.social · last yr.

1/ Excited to share our latest preprint! 🚀 We introduce Spectral Normative Modeling (SNM)—a novel approach leveraging graph spectral methods to advance brain charting towards personalized precision medicine. 🔗 www.medrxiv.org/content/10.1...

1/ Excited to share our latest preprint! 🚀 We introduce Spectral Normative Modeling (SNM)—a novel approach leveraging graph spectral methods to advance brain charting towards personalized precision medicine. 🔗 www.medrxiv.org/content/10.1...

Spectral normative modeling of brain structure

Normative modeling in neuroscience aims to characterize interindividual variation in brain phenotypes and thus establish reference ranges, or brain charts, against which individual brains can be compa...

medrxiv.org

If you are going to @ohbmofficial.bsky.social @ohbmtrainees.bsky.social , come check out our poster to estimate & validate individualized brain networks in epilepsy! Poster Number: 0033 Mon, Jun 15 | 13:45-14:45 Tues, Jun 16 | 12:30-13:30 The paper has also been published: doi.org/10.1002/epi....

I guess the stable architecture we found must be related to your SES findings? @ndosenbach.bsky.social @smarek0502.bsky.social

Thomas Yeo@bttyeo.bsky.social · 2mo ago

Paper is now out in Nature Comms doi.org/10.1038/s414... If you are at @ohbmofficial.bsky.social @ohbmtrainees.bsky.social , come check out our poster about Simpson’s paradox in neurodevelopment. Poster number 998 Monday, June 15 | 14:45-15:45 Tuesday, June 16 | 13:30-14:30

What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...

I guess our results of a stable architecture can be explained by your recent SES results? @smarektj.bsky.social @ndosenbach.bsky.social

Thomas Yeo@bttyeo.bsky.social · 2mo ago

Paper is now out in Nature Comms doi.org/10.1038/s414... If you are at @ohbmofficial.bsky.social @ohbmtrainees.bsky.social , come check out our poster about Simpson’s paradox in neurodevelopment. Poster number 998 Monday, June 15 | 14:45-15:45 Tuesday, June 16 | 13:30-14:30

Paper is now out in Nature Comms doi.org/10.1038/s414... If you are at @ohbmofficial.bsky.social @ohbmtrainees.bsky.social , come check out our poster about Simpson’s paradox in neurodevelopment. Poster number 998 Monday, June 15 | 14:45-15:45 Tuesday, June 16 | 13:30-14:30

@yapeixie.bsky.social · last yr.

Our new preprint is out! doi.org/10.1101/2025... How do brain networks and cognition co-evolve as children enter adolescence?

For those attending @ohbmofficial.bsky.social @ohbmtrainees.bsky.social come check out our poster on E/I imbalance in pre-dementia individuals and the relationships with blood/CSF biomarkers. Poster 1059 Stand-by time: Monday, June 15 | 13:45-14:45 & Tuesday, June 16 | 12:30-13:30

Openly shared implementation of TMS targeting is still rare, so we are pleased to make ours freely available for research use: github.com/ThomasYeoLab... Let us know if you have any issue running it!

Thomas Yeo@bttyeo.bsky.social · 2mo ago

Our TMS algorithm is now published in @imagingneurosci.bsky.social doi.org/10.1162/IMAG... If you are coming to @ohbmofficial.bsky.social @ohbmtrainees.bsky.social, come check out our poster about our open label trial. Poster number 1152 Monday, Jun 15 | 14:45-15:45 Tuesday, Jun 16 | 13:30-14:30

Our TMS algorithm is now published in @imagingneurosci.bsky.social doi.org/10.1162/IMAG... If you are coming to @ohbmofficial.bsky.social @ohbmtrainees.bsky.social, come check out our poster about our open label trial. Poster number 1152 Monday, Jun 15 | 14:45-15:45 Tuesday, Jun 16 | 13:30-14:30

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

We develop a new TMS targeting algorithm and test it in an open label trial in a treatment-resistant depression population with high comorbidities. Preprints by @rubykong92.bsky.social Phern-Chern Tor 1. doi.org/10.1101/2025... 2. doi.org/10.64898/202... Our new approach ...

For those attending @ohbmofficial.bsky.social @ohbmtrainees.bsky.social , come check out our poster finding that functional MRI brain foundation models do not outperform ridge regression. Poster number 2269 Presenting on Wednesday, June 17 | 12:45-13:45 and Thursday, June 18 | 13:45-14:45

If you are attending @ohbmofficial.bsky.social @ohbmofficial.bsky.social come by and check out our poster on how excessive censoring hurts parcellation and personalized TMS target accuracy. Poster number 2399 Presenting on Wednesday, June 17 (12:45-13:45) and Thursday, June 18 (13:45-14:45)

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!

🎉 Registration is now OPEN for the 2026 OHBM Australian Chapter Annual Meeting! 🇦🇺🧠🇦🇺 Get your ticket now! 🎟️🎟️🎟️ Registration: events.humanitix.com/ohbm-austral... 📝 Submit your abstract: docs.google.com/forms/d/e/1F... 🏆 Nominate a colleague (or yourself) for an award: ohbm-aus.github.io/awards/

OHBM Australia Meeting 2026

Uniting the Australian human brain mapping community.

events.humanitix.com

You're not going to want to miss this! More information on the Brainhack and other workshops here: ohbm.github.io/hackathon2026/

Thomas Yeo@bttyeo.bsky.social · 2mo ago

For those who are attending @ohbmofficial.bsky.social brainhack, I will be giving a short presentation of this work at the neuroimaging statistics workshop, co-hosted with brainhack: sites.google.com/view/nsw2026

For those who are attending @ohbmofficial.bsky.social brainhack, I will be giving a short presentation of this work at the neuroimaging statistics workshop, co-hosted with brainhack: sites.google.com/view/nsw2026

NeuroStats2026

sites.google.com

Thomas Yeo@bttyeo.bsky.social · 3mo ago

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N

Here's bonus slides on cross-validation tests, separate from our preprint. Covering: 1. paired (sign-flip) permutation test 2. label-swap permutation test 3. sample-level vs fold-averaged stats 4. a common misapplication of the corrected t-test 5. three bootstrap variants 1/N

Thomas Yeo@bttyeo.bsky.social · 3mo ago

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N

Statistically crossvalidation folds are not independent. The number of papers treating them as if they were is off the charts.

Thomas Yeo@bttyeo.bsky.social · 3mo ago

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N

For years, we've known that running a standard t-test on cross-validation folds violates sample independence. We wanted to see how widespread this issue actually is. The result? 97% of the studies used an invalid statistical test. 🧵👇

Thomas Yeo@bttyeo.bsky.social · 3mo ago

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N

Can't stress this enough 👇 If you use ML to compare predictive models in your research (neuroscience, genetics, you name it), this paper is a must read! 👀 The majority of work in this space (mine included 🙋) misses critical nuances when reporting comparative stats.

So glad this is finally public. Grateful to my wonderful co-authors for the long journey.

Thomas Yeo@bttyeo.bsky.social · 3mo ago

In a meta-analysis of 210 biomedical AI studies that statistically compared models under cross-validation, 97% used invalid statistical tests. Here's our new preprint doi.org/10.64898/202... led by @tianchu.bsky.social @hetuli.bsky.social @shaoshiz.bsky.social @nichols.bsky.social 1/N