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Thomas Yeo

@bttyeo.bsky.social
4K followers 349 following 234 posts

Brain imaging, machine learning, neuroscience, mental disorders sites.google.com/view/yeolab

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Thomas Yeo @bttyeo.bsky.social · 08/07/2026
A video of a patient who responded well to personalized TMS: www.temasekreview.com.sg/community-st...
temasekreview.com.sg
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Thomas Yeo @bttyeo.bsky.social · 17/06/2026
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
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Imaging Neuroscience @imagingneurosci.bsky.social · 17/06/2026
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.
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Thomas Yeo @bttyeo.bsky.social · 15/06/2026
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
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wakeupwoke.bsky.social @wakeupwoke.bsky.social · 14/06/2026
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.
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Rosanna Olsen @rosannaolsen.bsky.social · 14/06/2026
Attending #OHBM2026.🇫🇷? You will not want to miss Monday morning's keynote by Nanthia Suthana (chaired by yours truly 😊). I can't wait!!
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
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!
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wakeupwoke.bsky.social @wakeupwoke.bsky.social · 14/06/2026
Thank you for sharing!
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
This slide was particularly popular. Never had so many people cheering one of my slides before. haha
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
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!
dropbox.com
Dropbox
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
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...
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Sina Mansour L. @sinamansourl.bsky.social · 06/02/2025
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...
medrxiv.org
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...
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
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....
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
I guess the stable architecture we found must be related to your SES findings? @ndosenbach.bsky.social @smarek0502.bsky.social
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Scott Marek @smarek0502.bsky.social · 11/06/2026
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/...
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
I guess our results of a stable architecture can be explained by your recent SES results? @smarektj.bsky.social @ndosenbach.bsky.social
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
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
doi.org
Convergent and divergent brain–cognition development in early adolescence - Nature Communications
As children enter adolescence, thinking becomes more abstract, coinciding with large-scale changes in brain network organization. Here, the authors show that stable brain network organization plays a ...
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Thomas Yeo @bttyeo.bsky.social · 14/06/2026
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
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Thomas Yeo @bttyeo.bsky.social · 13/06/2026
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!
github.com
GitHub - ThomasYeoLab/Kong2026_TMSTree: Tree-based MS-HBM TMS targeting algorithm
Tree-based MS-HBM TMS targeting algorithm. Contribute to ThomasYeoLab/Kong2026_TMSTree development by creating an account on GitHub.
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Thomas Yeo @bttyeo.bsky.social · 13/06/2026
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
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Thomas Yeo @bttyeo.bsky.social · 13/06/2026
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
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Thomas Yeo @bttyeo.bsky.social · 13/06/2026
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)
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OHBM Australia @ohbm-australia.bsky.social · 09/06/2026
🎉 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/
events.humanitix.com
OHBM Australia Meeting 2026
Uniting the Australian human brain mapping community.
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OHBM Open Science Special Interest Group @ohbmossig.bsky.social · 27/05/2026
You're not going to want to miss this! More information on the Brainhack and other workshops here: ohbm.github.io/hackathon2026/
ohbm.github.io
OHBM Brainhack Bordeaux 2026 | June 11-13
Join us in Bordeaux, France for OHBM Brainhack 2026, a 3-day collaborative event for building, learning, and connecting around open neuroimaging tools.
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Thomas Yeo @bttyeo.bsky.social · 25/05/2026
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
sites.google.com
NeuroStats2026
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Thomas Yeo @bttyeo.bsky.social · 22/05/2026
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
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Konrad Kording @kordinglab.bsky.social · 21/05/2026
Statistically crossvalidation folds are not independent. The number of papers treating them as if they were is off the charts.
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Shaoshi Zhang @shaoshiz.bsky.social · 21/05/2026
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. 🧵👇
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Sina Mansour L. @sinamansourl.bsky.social · 21/05/2026
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.
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Tianchu Zeng @tianchu.bsky.social · 21/05/2026
So glad this is finally public. Grateful to my wonderful co-authors for the long journey.
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Thomas Yeo @bttyeo.bsky.social · 21/05/2026
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
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Aperture Neuro @apertureohbm.bsky.social · 13/05/2026
Do longer scans really improve prediction and reduce costs in BWAS? Explore the commentary series: • Breakspear: doi.org/10.52294/001... • Bijsterbosch: doi.org/10.52294/001... • McIntosh: doi.org/10.52294/001... @drbreaky.bsky.social @janinebijsterbosch.bsky.social @ar0mcintosh.bsky.social
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Thomas Yeo @bttyeo.bsky.social · 23/04/2026
Exciting stuff!
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Nico Dosenbach @ndosenbach.bsky.social · 23/04/2026
Function & cytoarchitecture don't overlap ... they're orthogonal. Prefrontal cortex is plastered with chains of functional patches previously mostly known from face processing. Why multi-modal parcellations are wrong ... and other insights hidden by group-averaging of fMRI data. great explainer👇🏻
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Thomas Yeo @bttyeo.bsky.social · 09/04/2026
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 ...
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Thomas Yeo @bttyeo.bsky.social · 02/04/2026
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 ...
doi.org
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Amanda Mejia @mandymejia.bsky.social · 27/03/2026
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...
arxiv.org
Excessive data censoring in fMRI undermines individual precision and weakens brain-behavior associations
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Amanda Mejia @mandymejia.bsky.social · 27/03/2026
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!
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Thomas Yeo @bttyeo.bsky.social · 27/03/2026
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!
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Elvisha Dhamala @elvisha.bsky.social · 25/03/2026
Our latest work looking at the neuroanatomical basis of impulsivity in youth is out now in Molecular Psychiatry!
nature.com
Neuroanatomy reflects individual variability in impulsivity in youth - Molecular Psychiatry
Molecular Psychiatry - Neuroanatomy reflects individual variability in impulsivity in youth
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Thomas Yeo @bttyeo.bsky.social · 11/02/2026
edition.cnn.com/2026/02/10/h...
edition.cnn.com
FDA refuses to review Moderna’s application for mRNA flu vaccine, company says | CNN
The US Food and Drug Administration has refused to accept an application from Moderna to review its first mRNA seasonal flu vaccine, the company said Tuesday, in another setback for the technology tha...
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Nicole Rust @nicolecrust.bsky.social · 04/11/2025
Important study!
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Thomas Yeo @bttyeo.bsky.social · 04/11/2025
Preprint is now published! doi.org/10.1002/hbm.... Thanks to co-authors @chen-zhang.bsky.social @anlijuncn.bsky.social @csabaorban.bsky.social
doi.org
Cross‐Dataset Evaluation of Dementia Longitudinal Progression Prediction Models
We introduced a simplified variant of FROG, the winning algorithm of the TADPOLE challenge, for predicting dementia progression using multimodal longitudinal data. Combining the longitudinal-to-cross...
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Thomas Yeo @bttyeo.bsky.social · 04/11/2025
Preprint is now published: doi.org/10.1002/hbm.... Special thanks to co-authors @twktan.bsky.social @kimnganngt.bsky.social @csabaorban.bsky.social
doi.org
Mind the Gap: Does Brain Age Improve Alzheimer’s Disease Prediction?
We compared large-scale brain age models versus models trained from scratch to predict specific brain health outcomes (i.e., direct models) in the context of Alzheimer disease dementia. Our results e....
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Avram Holmes @avramholmes.bsky.social · 30/10/2025
Excited to see this one in print! Emerging methods for brain-based predictions in psychiatry. Led by @diawang.bsky.social and @yiplab.bsky.social w/ @bttyeo.bsky.social
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Sarah Yip @yiplab.bsky.social · 30/10/2025
Excited to share this review in @biologicalpsych.bsky.social on using transfer learning to leverage large MRI datasets & enhance precision psychiatry!! www.biologicalpsychiatryjournal.com/article/S000... Fun collab with rockstars @diawang.bsky.social @bttyeo.bsky.social @avramholmes.bsky.social
biologicalpsychiatryjournal.com
From big to small: Emerging methods for enhancing precision psychiatry through transfer learning
Identifying reliable links between individual differences in neurobiological features and differences in symptom profiles or treatment outcomes is a primary goal of precision psychiatry. Within this c...
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Thomas Yeo @bttyeo.bsky.social · 10/10/2025
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Lucina Uddin @lucinauddin.bsky.social · 02/10/2025
Thanks for the figure @bttyeo.bsky.social 🙂🧠🙏🏽!
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PLOS Biology @plosbiology.org · 08/10/2025
Sleep is often only investigated from a single dimension. @bttyeo.bsky.social &co identify 5 sleep-biopsychosocial profiles that link self-reported #sleep patterns to variability in #health, #cognition & #lifestyle factors in 770 healthy young adults @plosbiology.org 🧪 plos.io/42tRXSc
Canonical correlation analysis reveals five sleep-biopsychosocial profiles (LCs). Scatter plots showing correlations between biopsychosocial and sleep canonical scores. Each dot represents a different participant. The inset shows the null distribution of canonical correlations obtained by permutation testing; note that the null distribution is not centered at zero. The dashed line indicates the actual canonical correlation computed for each LC. The distribution of sleep (top) and biopsychosocial (right) canonical scores is shown on rain cloud plots.
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Siawoosh Mohammadi @siawooshmr.bsky.social · 06/09/2025
Our lab is fully supporting the journal (2 papers published, 1 in revision, and more in prep, 2 reviewed - only me). And looking at the published papers in IMAG, it seems like we are not alone. This journal is becoming the new top neuroimaging journal! Thanks to the editor team for making the move!
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