Article

Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features

2019-01-28

Abstract excerpt

<h4>Objective:</h4> To investigate whether or not functional connectivity (FC) could be used as a potential biomarker for classification of primary insomnia (PI) at the individual level by using multivariate pattern analysis (MVPA). <h4>Methods:</h4> Thirty-eight drug-naïve patients with PI and 44 healthy controls (HC) underwent resting-state functional MR imaging. Three commonly used FC metrics were calculated...

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Literature Corpus work: be86e118-bf2c-5275-b4e2-4dfdcf10870f
DOI: 10.1101/532127

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