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Max Elliott

@maxwellelliott.bsky.social
122 followers 119 following 24 posts

Assistant Professor UMN | Studying individual differences in brain and cognitive aging. elliottlab.psych.umn.edu

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Max Elliott @maxwellelliott.bsky.social · 13/03/2026
We observed substantial, unexpected heterogeneity in brain aging over a single year. We captured atypical rapid global decline (in an individual who later developed MCI), asymmetric changes, and even remarkable brain maintenance. Check out the paper to see these case studies.
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Max Elliott @maxwellelliott.bsky.social · 13/03/2026
The findings: We reliably detected expected differences in brain aging rates between younger and older adults, and those with cognitive impairment. That could not have been detected using standard approaches. We also discovered unexpected results...
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Max Elliott @maxwellelliott.bsky.social · 13/03/2026
We put this to the test by scanning individuals six times in just one year. We collected a total of 48 rapid scans per person, which allowed us to reliably capture longitudinal change fully within individuals.
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Max Elliott @maxwellelliott.bsky.social · 13/03/2026
Our solution? "Cluster scanning". By densely repeating rapid, compressed-sensing structural scans (just 1-min each!) at each time point, we reduced measurement error by nearly 3 times compared to a standard scan. For more details, see our previous work - doi.org/10.1162/imag...
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Max Elliott @maxwellelliott.bsky.social · 13/03/2026
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...
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Max Elliott @maxwellelliott.bsky.social · 07/07/2025
Across several datasets, faster DunedinPACNI was associated with poor cognition, physical frailty, poor health, and worse cognitive status. Furthermore, faster DunedinPACNI predicted faster hippocampal atrophy, earlier onset of chronic disease, dementia, and mortality.
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Max Elliott @maxwellelliott.bsky.social · 07/07/2025
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"
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Max Elliott @maxwellelliott.bsky.social · 26/02/2025
This precision allowed us to see clear deviations from expected aging when they arose. In a striking example, we detected an aggressive atrophy trajectory in an individual who was cognitively unimpaired at baseline but then went on to develop an MCI diagnosis.
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Max Elliott @maxwellelliott.bsky.social · 26/02/2025
Critically, this reduction in error allowed us to see changes in individuals within just one year. Here are hippocampal aging trajectories in 8 individuals across one year where you can see large individual differences and the benefits of pooling multiple measurements
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Max Elliott @maxwellelliott.bsky.social · 26/02/2025
We found a solution - cluster scanning. Utilizing the latest advances in scan acceleration we collected several short, 1-minute long T1s to drive to measurement error within individuals ... and it worked!
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