Single-subject grey matter network trajectories over the disease course of autosomal dominant Alzheimer's disease.

ABSTRACT: Structural grey matter covariance networks provide an individual quantification of morphological patterns in the brain. The network integrity is disrupted in sporadic Alzheimer's disease, and network properties show associations with the level of amyloid pathology and cognitive decline. Therefore, these network properties might be disease progression markers. However, it remains unclear when and how grey matter network integrity changes with disease progression. We investigated these questions in autosomal dominant Alzheimer's disease mutation carriers, whose conserved age at dementia onset allows individual staging based upon their estimated years to symptom onset. From the Dominantly Inherited Alzheimer Network observational cohort, we selected T₁-weighted MRI scans from 269 m

SUBMITTER: Vermunt L 

PROVIDER: S-EPMC7475695 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature