Connectome‐based predictive modeling of brain pathology and cognition in autosomal dominant Alzheimer's disease
Connectivity-based predictive modeling of tau and amyloid-β in ADAD carriers. Strong predictions for tau deposition; weaker predictions for amyloid-β. Cognitive scores for memory and mental state are predicted strongly. Connectivity between IPL, DAN, DMN, temporal cortex most predictive.
Authors
- Ana Baena (ORCID: https://orcid.org/0000-0002-5622-4519)
- David Fernando Aguillon (ORCID: https://orcid.org/0000-0003-2283-536X)
- Joshua T. Fox‐Fuller (ORCID: https://orcid.org/0000-0003-0967-4362)
- Francisco Lopera (ORCID: https://orcid.org/0000-0002-5238-0231)
- Vaibhav Tripathi (ORCID: https://orcid.org/0000-0001-7520-4188)
- Yakeel T. Quiroz (ORCID: https://orcid.org/0000-0001-9714-8244)
- Sergio Álvarez (ORCID: https://orcid.org/0000-0003-4983-0892)
- David C. Somers (ORCID: https://orcid.org/0000-0002-4169-5895)
- Vincent Malotaux (ORCID: https://orcid.org/0000-0003-0737-9220)
- Nikole Bonillas Felix
Institutions
- Boston University (US)
- Harvard University (US)
- Universidad de Antioquia (CO)
- Massachusetts General Hospital (US)
- Hospital Pablo Tobon Uribe (CO)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/alz.70061
- Citations
- 5
- Primary Topic
- Functional Brain Connectivity Studies
- Type
- article
- Field-Weighted Citation Impact
- 7.16
Funders
- National Institute on Aging