Authors
Peter R Millar, Brian A Gordon, Julie K Wisch, Stephanie A Schultz, Tammie LS Benzinger, Carlos Cruchaga, Jason J Hassenstab, Laura Ibanez, Celeste Karch, Jorge J Llibre-Guerra, John C Morris, Richard J Perrin, Charlene Supnet-Bell, Chengjie Xiong, Ricardo F Allegri, Sarah B Berman, Jasmeer P Chhatwal, Patricio A Chrem Mendez, Gregory S Day, Anna Hofmann, Takeshi Ikeuchi, Mathias Jucker, Jae-Hong Lee, Johannes Levin, Francisco Lopera, Yoshiki Niimi, Victor J Sánchez-González, Peter R Schofield, Ana Luisa Sosa-Ortiz, Jonathan Vöglein, Dominantly Inherited Alzheimer Network, Randall J Bateman, Beau M Ances, Eric M McDade
Publication date
2023/12/19
Journal
Molecular neurodegeneration
Volume
18
Issue
1
Pages
98
Publisher
BioMed Central
Description
Background
“Brain-predicted age” estimates biological age from complex, nonlinear features in neuroimaging scans. The brain age gap (BAG) between predicted and chronological age is elevated in sporadic Alzheimer disease (AD), but is underexplored in autosomal dominant AD (ADAD), in which AD progression is highly predictable with minimal confounding age-related co-pathology.
Methods
We modeled BAG in 257 deeply-phenotyped ADAD mutation-carriers and 179 non-carriers from the Dominantly Inherited Alzheimer Network using minimally-processed structural MRI scans. We then tested whether BAG differed as a function of mutation and cognitive status, or estimated years until symptom onset, and whether it was associated with established markers of amyloid (PiB PET, CSF amyloid-β-42/40), phosphorylated tau (CSF and plasma pTau-181), neurodegeneration (CSF and plasma neurofilament-light …
Total citations
20241
Scholar articles
PR Millar, BA Gordon, JK Wisch, SA Schultz… - Molecular neurodegeneration, 2023