Evaluating brain age using functional connectivity in autosomal dominant Alzheimer disease
- Published on 06/04/2025
- Reading time: 4 min.
Kiana Angela Macharia 1, Brian A. Gordon 1, Julie K. Wisch 1, Nicholas V Metcalf 1, June Roman 1, Tammie L.S. Benzinger 2, Carlos Cruchaga 3, Alison M. Goate 4, Jason J. Hassenstab 3, Laura Ibanez 3, Celeste M. Karch 5, Jorge J. Llibre‐Guerra 3, John C. Morris 3, Richard J. Perrin 3, Alan E. Renton 4, Charlene B Supnet 1, Chengjie Xiong 3, Dominantly Inherited Alzheimer Network (DIAN) 1, Randall J. Bateman 2, Eric McDade 3, Beau Ances 1, Peter R Millar 1
1 Washington University in St. Louis School of Medicine, St. Louis, MO USA
2 Washington University in St. Louis, St. Louis, MO USA
3 Washington University in St. Louis, School of Medicine, St. Louis, MO USA
4 Icahn School of Medicine at Mount Sinai, New York, NY USA
5 Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO USA
Abstract
Background Brain‐predicted age estimates are used to quantify an individual's brain age compared to a normative trajectory. We have recently shown that brain age from structural MRI is elevated in autosomal dominant Alzheimer disease (ADAD), a unique sample that allows the study of AD progression independently of age‐related confounds. Resting‐state functional connectivity (FC) may capture a biphasic response to sporadic AD, and thus may complement...
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