Max Elliott
@maxwellelliott.bsky.social
Brain and Cognitive Aging Researcher
Incoming Assistant Professor at the University of Minnesota
Incoming Assistant Professor at the University of Minnesota
Reposted by Max Elliott
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...
Paper link: www.sciencedirect.com/science/arti...
September 26, 2025 at 3:25 PM
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...
Paper link: www.sciencedirect.com/science/arti...
Reposted by Max Elliott
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 🧪
July 16, 2025 at 1:02 AM
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"
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"
July 7, 2025 at 7:21 PM
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"
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"
Reposted by Max Elliott
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 ...
www.nature.com
July 1, 2025 at 2:59 PM
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...
Reposted by Max Elliott
@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
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...
Study Coordinator: Full-time Paid Postbaccalaureate Research Assistant | ShackmanLab
shackmanlab.org
April 21, 2025 at 3:01 PM
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
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
https://www.medrxiv.org/content/10.1101/2025.02.21.25322553v1
t.co
February 26, 2025 at 5:16 PM
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
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
Reposted by Max Elliott
[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)
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...
www.biorxiv.org
February 26, 2025 at 4:03 PM
[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)
With @maxwellelliott.bsky.social Joanna Ladopoulou, Mark Eldaief, and Randy Buckner
www.biorxiv.org/content/10.1...
(1/6)
Reposted by Max Elliott
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...
February 26, 2025 at 7:40 AM
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...