Elvisha Dhamala

@elvisha.bsky.social

Assistant Professor at Northwell Previously McGill, Cornell, Yale Brain-Based Predictive Modeling Lab: bpmlab.org Interested in sex, gender, brain, behavior, mental health, development, and machine learning Views are mine 🧠🇨🇦🇳🇵

Psychology paper studying undergraduates: “We need to confront the fact that our subjects are WEIRD and results may not generalize” Systems Neuroscience paper studying one inbred mouse strain: “Here is how the mammalian brain works.”

Thank you to my wonderful team for their help on this - Chase Antonacci, @greyes.bsky.social, @eugiampetruzzi.bsky.social, @jivr.bsky.social, Gracie Grimsrud, @mellwoodlowe.bsky.social, and @russpoldrack.org!

Russ Poldrack@russpoldrack.org · 2w ago

In this new preprint, @jocelynricard.bsky.social argues for a more intentional and principled approach to the measurement of neighborhood-level effects on brain development. www.biorxiv.org/content/10.6...

Please RT - We are looking for someone who wants to establish and lead a cutting-edge neuroimaging center at Northwestern, working closely with multiple labs, including my own, in neuroscience research broadly construed. If you are curious, dm me and I'm happy to answer questions

Rodrigo Braga@rodbraga.bsky.social · 2mo ago

We are hiring an Associate or Full Professor to lead the neuroimaging research program at Northwestern's Center for Translational Imaging in the Department of Radiology careers.northwestern.edu/psc/hrnu_er/...

The Trump admin is poised to revive a proposal that has been floated several times — most recently in 2017 — to cap the number of grants an investigator can receive Some see in the promise, others aren't sure now is the moment given ... everything going on www.statnews.com/2026/06/11/n...

Scientists see promise in NIH proposal to cap number of grants they receive

Without easy access to leaders within a field or top-of-the-line lab equipment, principal investigators outside top universities often struggle to compete for grants from the NIH.

statnews.com

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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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!

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 - 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.

github.com

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

This is one of the most socially important scientific findings I've ever been a part of. SES has a larger cross-sectional effect on brain function than any other variable. Prediction of IQ from brain data is actually mostly just predicting SES. Mind blowing.

Scott Marek@smarek0502.bsky.social · 2mo ago

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/...

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