fMRI‐Complexity as a potential presymptomatic predictor of cognitive decline in Alzheimer's Disease

Abstract

Background: Nonlinear statistical techniques, rooted in information theory, such as estimation of the complexity of fMRI timeseries using entropy methods are increasingly pertinent in the study of neurocognitive aging and neurodegenerative diseases.