A Longitudinal Model for Functional Connectivity Networks Using Resting-State fMRI
Brian Hart, Ivor Cribben, Mark Joseph A. Fiecas
This paper introduces a longitudinal functional connectivity network model for fMRI data, accounting for autocorrelation and subject variability, and applies it to Alzheimer's Disease Neuroimaging Initiative data.
NeuroImage · Sep 1, 2018Peer-reviewedNeuroscience