Edge Time Series Components of Functional Connectivity and Cognitive Function in Alzheimer's Disease.

ABSTRACT: Understanding the interrelationships of brain function as measured by resting-state magnetic resonance imaging and neuropsychological/behavioral measures in Alzheimer's disease is key for advancement of neuroimaging analysis methods in clinical research. The edge time-series framework recently developed in the field of network neuroscience, in combination with other network science methods, allows for investigations of brain-behavior relationships that are not possible with conventional functional connectivity methods. Data from the Indiana Alzheimer's Disease Research Center sample (53 cognitively normal control, 47 subjective cognitive decline, 32 mild cognitive impairment, and 20 Alzheimer's disease participants) were used to investigate relationships between functional connectivity com

SUBMITTER: Chumin EJ 

PROVIDER: S-EPMC10680898 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature