Article

A Longitudinal Model for Functional Connectivity Networks Using Resting-State fMRI

2017-06-20

Abstract excerpt

Many neuroimaging studies collect functional magnetic resonance imaging (fMRI) data in a longitudinal manner. However, the current network modeling literature lacks a general framework for analyzing functional connectivity (FC) networks in fMRI data obtained from a longitudinal study. In this work, we build a novel longitudinal FC network model using a variance components approach. First, for all subjects’ visits,...

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Literature Corpus work: dea576a8-95a4-566b-9611-5833da4ef7e3
DOI: 10.1101/152538

Open publication

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