Michael J. Properzi

According to our database, Michael J. Properzi authored at least 3 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease.

Colin Birkenbihl, Madison Cuppels, Rory T. Boyle, Hannah M. Klinger, Oliver Langford, Gillian T. Coughlan, Michael J. Properzi, Jasmeer P. Chhatwal, Julie C. Price, Aaron P. Schultz, Dorene M. Rentz, Rebecca E. Amariglio, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan M. Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O'Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

Brain Informatics, December, 2025

2020

Inferior temporal tau is associated with accelerated prospective cortical thinning in clinically normal older adults.

Matthew R. Scott, Olivia L. Hampton, Rachel F. Buckley, Jasmeer P. Chhatwal, Bernard J. Hanseeuw, Heidi I. L. Jacobs, Michael J. Properzi, Justin S. Sanchez, Keith A. Johnson, Reisa A. Sperling, Aaron P. Schultz

NeuroImage, 2020

2019

Nonlinear Distributional Mapping (NoDiM) for harmonization across amyloid-PET radiotracers.

Michael J. Properzi, Rachel F. Buckley, Jasmeer P. Chhatwal, Michael C. Donohue, Cristina Lois, Elizabeth C. Mormino, Keith A. Johnson, Reisa A. Sperling, Aaron P. Schultz

NeuroImage, 2019