Use of brain age models frequently lead to wrong conclusions - unfortunately it is not easy to fix. Fortunately, there are better alternatives. @edvardg.bsky.social @fmrib-steve.bsky.social @didacvp.bsky.social @maxwellelliott.bsky.social @k.b.walhovd www.medrxiv.org/content/10.6...

Reconsidering Brain Age: Why Age-Prediction Models Fail as Measures of Brain Aging

Brain age models - machine-learning predictions of chronological age from brain imaging - are widely interpreted as markers of accelerated brain aging. Here we show that this interpretation cannot be ...

medrxiv.org

🚨 New preprint: Objective Quality Assessment for Precision fMRI Precision functional mapping (PFM) enables individual-level brain network studies — but demands more, and better, data. We introduce an objective framework to determine when a dataset truly supports interpretable, replicable PFM.

Are you interested in detecting brain changes in individuals with higher precision over shorter intervals? Check out our new paper in Nature Communications. With Randy Buckner, @jingnandu.bsky.social, and others. Link - doi.org/10.1038/s414...

We had the privilege of hosting @maxwellelliott.bsky.social for the Cognitive and Brain Sciences Seminar yesterday. Max is currently an Assistant Professor at the University of Minnesota, and we worked together as Postdocs at Harvard. www.youtube.com/watch?v=3_D7...

DunedinPACNI: A Next Generation Brain Clock to Assess Brain Aging

YouTube video by Integrative Neuroscience & Technology Lab

youtube.com

I am thrilled to share that I’ll be joining the University of Notre Dame (@notredame.bsky.social) as an Assistant Professor of Psychology this July!☘️🧠 Please reach out if you're interested in joining my lab! More details to follow soon.

Is schizophrenia associated with accelerated aging? In our new paper, we find evidence for consistently faster aging in schizophrenia, though not among unaffected siblings nor clinical high-risk youth doi.org/10.1017/S003...

I am recruiting a Postdoc to join my lab at UMN. If you or someone you know is interested in studying individual differences in brain and cognitive aging, check out the listing and my website in my bio and apply! I appreciate RTs to help get the word out as well :)

Our new paper is out now in Neuron! 🎉 With @vaibhavtripathi.bsky.social @maxwellelliott.bsky.social Joanna Ladopoulou, Wendy Sun, Mark Eldaief, and Randy Buckner Paper link: www.sciencedirect.com/science/arti...

A paper in Nature Aging describes the Dunedin Pace of Aging Calculated from #NeuroImaging measure, an approach that uses a single brain image to measure how fast a person is aging and can help predict mortality or the risk of developing chronic disease. go.nature.com/3GADPij #medsky 🧪

Do you want to estimate brain aging from a single MRI scan? Check out our latest work in Nature Aging "DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease"

Now published in @nataging.nature.com‬ ! We propose DunedinPACNI, a new measure of the rate of aging that can be derived from a single structural brain scan www.nature.com/articles/s43...

DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease - Nature Aging

Differences in the Pace of Aging are important for many health outcomes but difficult to measure. Here the authors describe the Dunedin Pace of Aging Calculated from NeuroImaging measure, an approach ...

nature.com

@npp-journal.bsky.social @uwpsych.bsky.social @sansmeeting.bsky.social @cnsmtg.bsky.social @avramholmes.bsky.social @jnfrltackett.bsky.social @aidangcw.bsky.social @vijayamittal.bsky.social @kevinmking.bsky.social @torwager.bsky.social @pkragel.bsky.social @maxwellelliott.bsky.social

Alex Shackman@ajshackman.bsky.social · last yr.

We're hiring! The Shackman Lab is hiring a full-time postbac RA for the 2025-26 academic year. This is fabulous opportunity to learn, work, and play with us in the DMV before heading off to graduate school. shackmanlab.org/studycoordin...

New preprint!!! We can reliably detect brain changes in individuals in just a year by collecting several rapid 1-minute T1s at each time point - i.e. "cluster scanning". We discovered large individual differences, even in healthy adults t.co/oxD9EBdbvu

[PREPRINT❗️❗️] Very excited to share our latest work on precision mapping of brain networks exclusively using task data!🧠 With @maxwellelliott.bsky.social Joanna Ladopoulou, Mark Eldaief, and Randy Buckner www.biorxiv.org/content/10.1... (1/6)

Within-Individual Precision Mapping of Brain Networks Exclusively Using Task Data

Precision mapping of brain networks within individuals has become a widely used tool that prevailingly relies on functional connectivity analysis of resting-state data. Here we explored whether networ...

biorxiv.org

Really interesting from @maxwellelliott.bsky.social et al: 1-year brain changes reliably detected by cluster-scanning - burst of multiple, very short T1's. Great potential for tracking individual differences in brain change over clinically meaningful intervals. www.medrxiv.org/content/10.1...