Cortical morphology changes in default mode network regions as predictors of cognitive decline in relation to amyloid and tau deposits.

ABSTRACT: Alzheimer's disease can be classified based on amyloid, tau and neurodegeneration status. The Default Mode Network is notably vulnerable to these processes, making early structural alterations in this network of particular interest for identifying prodromal biomarkers. In this longitudinal cross-sectional study, we analysed data from 279 participants in the Alzheimer's Disease Neuroimaging Initiative (mean age = 73.7 ± 9 years, 53.2% males). Structural measures-sulcal depth, gyrification and cortical thickness-were extracted for all Default Mode Network regions. Their ability to predict memory performance (encoding, retrieval and recall) was tested at baseline and 2-year follow-up by means of multiple linear regression models, which were all corrected for the risk of multiple comparisons.

SUBMITTER: Menardi A 

PROVIDER: S-EPMC12418381 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature