Resting State Networks in the TgF344-AD Rat Model of Alzheimer's Disease Are Altered From Early Stages.

ABSTRACT: A better and non-invasive characterization of the preclinical phases of Alzheimer's disease (AD) is important to advance its diagnosis and obtain more effective benefits from potential treatments. The TgF344-AD rat model has been well characterized and shows molecular, behavioral and brain connectivity alterations that resemble the silent period of the pathology. Our aim was to longitudinally investigate functional brain connectivity in established resting-state networks (RSNs) obtained by independent component analysis (ICA) in a cohort of TgF344-AD and control rats every 3 months, from 5 to 18 months of age, to cover different stages of the disease. Before each acquisition, working memory performance was evaluated by the delayed non match-to-sample (DNMS) task. Differences in the tempora

SUBMITTER: Tudela R 

PROVIDER: S-EPMC6694297 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature