Network-based amyloid-β pathology predicts subsequent cognitive decline in cognitively normal older adults.

ABSTRACT: The deposition of amyloid-β (Aβ) protein in the human brain is a hallmark of Alzheimer's disease and is related to cognitive decline. However, the relationship between early Aβ deposition and future cognitive impairment remains poorly understood, particularly concerning its spatial distribution and network-level effects. Here, we employed a cross-validated machine learning approach and investigated whether integrating subject-specific brain connectome information with Aβ burden measures improves predictive validity for subsequent cognitive decline. Baseline regional Aβ pathology measures from positron emission tomography (PET) imaging predicted prospective cognitive decline. Incorporating structural connectome, but not functional connectome, information into the Aβ measures improved predic

SUBMITTER: He H 

PROVIDER: S-EPMC11661183 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature