A data‐driven, multi‐domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes
Data-driven brain signatures are potentially valuable in models of cognitive aging.In previous work, we outlined rigorous validation of signatures for memory.This work demonstrates a signature predicting multiple clinical measures.This could be useful in models of interventions for brain support of cognition.
Authors
- Evan Fletcher (ORCID: https://orcid.org/0000-0002-9761-3131)
- Brandon E. Gavett (ORCID: https://orcid.org/0000-0003-1938-1854)
- Keith F. Widaman (ORCID: https://orcid.org/0000-0002-6424-3998)
- Audrey P. Fan (ORCID: https://orcid.org/0000-0001-5850-6117)
- Dan Mungas (ORCID: https://orcid.org/0000-0003-2035-7085)
- María M. Corrada (ORCID: https://orcid.org/0000-0002-8168-8593)
- Charles DeCarli (ORCID: https://orcid.org/0000-0003-1914-2693)
- Rachel A. Whitmer (ORCID: https://orcid.org/0009-0006-9511-6138)
- Sarah Tomaszewski Farias (ORCID: https://orcid.org/0009-0009-8969-3387)
Institutions
- University of California, Riverside (US)
- Alzheimer’s Disease Neuroimaging Initiative (US)
- University of California, Davis (US)
Publication Details
- Journal
- Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/dad2.70026
- Citations
- 2
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- U.S. Department of Defense
- Alzheimer's Association
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- Biogen
- University of Southern California
- Meso Scale Diagnostics
- Alzheimer's Disease Neuroimaging Initiative
- BioClinica
- Novartis Pharmaceuticals Corporation
- Northern California Institute for Research and Education
- Eisai
- Servier
- H. Lundbeck A/S
- IXICO
- National Institutes of Health
- Genentech
- Canadian Institutes of Health Research
- National Institute on Aging