Neuroimaging scientist at Washington University in St. Louis
St. Louis, Missouri
Joined December 2022
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Benjamin Kay retweeted
Is resting-state functional connectivity (rsFC) or cortical thickness (CT) more effective at capturing sex and gender differences in the brains of preadolescents?
Check out our new preprint: doi.org/10.1101/2024.10.31.6…
Benjamin Kay retweeted
After a high dose of psilocybin, the brain desynchronizes at a massive scale, causing loss of our sense of self, time, and space. This may drive the burst of plasticity caused by psychedelics. The next day, brain activity has largely returned to normal, but an echo remains – a reset of circuits critical to the sense of self.
Our study is out today in @Nature nature.com/articles/s41586-0…
Benjamin Kay retweeted
📢New preprint! 📢
w/ @martin_gell , @sNeuroble, Tim Laumann, @stevenmnelson
Check out our overview and perspective:
“Psychiatric Neuroimaging Designs for Individualised, Cohort, and Population Studies”
osf.io/preprints/psyarxiv/27…
🧵
Benjamin Kay retweeted
Our paper “A Precision Functional Atlas of Personalized Network Topography and Probabilities” is out now in @NatureNeuro! The MIDB Precision Brain Atlas is a collection of individualized neural network maps from n~10,000 and probabilistic atlases (1/8) rdcu.be/dCvuC
Benjamin Kay retweeted
Introducing the Action-Mode Network – AMN. Better late than never! 17 years ago, we clumsily called this the Cingulo-opercular Network (CON) based on its anatomy (we weren’t exactly sure what it does). Now we’ve finally got the evidence to give it the functional name it deserves: the Action-mode Network (AMN). Find our arguments here: osf.io/preprints/psyarxiv/2v… with the peerless Marc Raichle and the brilliant @gordonneuro. 🧵 ↓
Benjamin Kay retweeted
How to find massive motor plasticity effects in the subcortex? Find out in our preprint. biorxiv.org/content/10.1101/… Turns out these new findings change our understanding of #Parkinson disease and some #sleep processes. Let me unfold it
With @ndosenbach @gordonneuro @dillannewbold
Benjamin Kay retweeted
We’ve parcellated the neonatal cortical surface based on abrupt changes in functional connectivity, resulting in a set of 283 highly homogenous cortical surface parcels in a sample of n=261 neonates.
Preprint now available!
biorxiv.org/content/10.1101/…
Benjamin Kay retweeted
Now available at @NatureComms !
When do adolescents reach adult levels of executive function? We used FOUR independent datasets (N>10,000), behavioral data from 17 distinct EF tasks, and nonlinear modeling to address this and related questions.
nature.com/articles/s41467-0…
Benjamin Kay retweeted
1/5. Wanna know the RSFC behavioral prediction comparison between parcellations🧠 and gradients🌈? Our paper is officially out doi.org/10.1016/j.neuroimage…
We predict behavioral measures in HCP and ABCD datasets with optimized resolutions for different approaches.
Benjamin Kay retweeted
Have a look at our Matters Arising in @nature.
nature.com/articles/s41586-0…
We take a deeper dive into multivariate #BWAS (Brain-Wide Association Studies) reproducibility with additional methods that further emphasize the need for large sample sizes for BWAS
Ever wondered if your interesting brain-behavior correlation was affected by head motion, but were afraid to ask? We’ve created a motion impact score for detecting spurious brain-behavior associations. Excited to share my 1st preprint on Science Twitter! biorxiv.org/cgi/content/shor…
ALT You can see how and where residual motion artifact is affecting your connectivity matrix. For example, body mass index (data from the ABCD study) had a mostly false positive motion impact score, indicating that motion inflated brain-behavior correlations. WISC-V matrix reasoning had a mostly false negative motion impact score, indicating that its brain-behavior correlations would actually be bigger if not for motion artifact!
The good news is that frame censoring does a fantastic job of reducing false positive motion impact score. That means if you motion censor your data after standard processing then you are much less likely to get spurious results due to motion. Highly recommend trying it!
ALT False positive motion impact scores are shown in (a) and false negative scores in (b). Scores below the gray line are not-significant (better). We split up traits into categories (demographic, physical, etc) to make things more interesting.
Great additional reading : spectrumnews.org/news/toolbo…
Thanks for reporting on our research into motion impact score! @JefAkst @Spectrum
