(1/5) Our paper is out now in Neuron! bsky.app/profile/cp-n... The LPFC has fine-scale organization that gets missed in group-averaged data because of inter-individual variability. It is visible in individuals in both resting-state and task data.

Neuron@cp-neuron.bsky.social · 3mo ago

New preprint from the lab! Led by @martingell.bsky.social . There is something for everyone: brain-behavior prediction, latent variable modeling, test-retest reliability. 🧠📈📊 "Disentangling Brain-Psychopathology Associations: A Systematic Evaluation of Transdiagnostic Latent Factor Models"

Martin Gell@martingell.bsky.social · 5mo ago

🚨 New preprint alert! 🚨 Transdiagnostic latent factor models of psychopathology are widely assumed to improve brain-behaviour associations. So we decided to test this directly and found that they don't. A short 🧵 Link: www.biorxiv.org/content/10.6... 1/10

If you’re able Immigrant Rapid Response Fund (Women’s Foundation of MN) www.wfmn.org/funds/immigr... VEAP Food Shelf veap.org International Institute of Minnesota iimn.org/how-to-help/ GiveMN (to find MN nonprofits) www.givemn.org Minnesota is amazing because of its people.Let’s take care of them.

Immigrant Rapid Response Fund

The Immigrant Rapid Response Fund (IRRF) was created by a group of philanthropic leaders close to the communities most impacted to ensure that resources move quickly and responsibly during immigration...

wfmn.org

🧠🪰 The adult Drosophila brain connectome now gives us a complete wiring diagram of ~140k neurons. But a wiring diagram alone isn’t understanding. How is this massive network organized? Our paper tackles that question by mapping community structure across the entire fly brain. 1/

Rick Betzel@richardfbetzel.bsky.social · 8mo ago

New lab paper - will say more about this in a little while

The lateral prefrontal cortex 🧠— which we think of as critical for goal driven behavior + is a target for psychiatric treatments— is fundamentally different in individuals relative to the group averages we’ve often studied. 👇see preprint and thread, led by Zach Ladwig #neuroskyence #PsychSciSky

I still get chills Meet Mike *30+ years severe depression *first hospitalized @ 13y *20 meds *3 rounds of ECT *2 near-fatal suicide attempts Mike felt joy for the first time in decades after we turned on his new brain pacemaker or PACE see videos, read paper, follow thread doi.org/10.31234/osf...

Excited to share my first preprint investigating the feasibility and reliability of using precision RSFC in people with Parkinson’s disease! 🧠👇 📄: go.illinois.edu/PDfeasibility 🧵 Thread ⬇️ 1/12

While the world burns, we cook up a new preprint! doi.org/10.1101/2025... Biophysical modeling is a key tool to derive mechanistic insights into the brain. These models are governed by biologically meaningful parameters (unlike artificial neural networks), but the dirty secret ... 1/N

Spanning spatial scales with functional imaging in the human brain; initial experiences at 10.5 Tesla https://www.biorxiv.org/content/10.1101/2024.12.20.629800v1

📅 New lab review article in Trends in Cognitive Sciences, led by @hyejinjadelee.bsky.social with allydworetsky.bsky.social, & @laboranathan.bsky.social Check it out here: go.illinois.edu/ticsReview #neuroskyence #PsychSciSky #Neuroimaging #neuroscience 🧵below...

Using precision approaches to improve brain-behavior prediction

Predicting individual behavioral traits from brain idiosyncrasies has broad practical implications, yet predictions vary widely. This constraint may be driven by a combination of signal and noise in b...

go.illinois.edu

1) @laboranathan.bsky.social is presenting poster *299.15*. Nathan’s project uses a large precision fMRI dataset to examine how error signals differ across subjects and tasks, with a special focus on the cingulo-opercular and fronto-parietal brain networks