An empirical Bayes normalization method for connectivity metrics in resting state fMRI
Functional connectivity analysis using resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a powerful technique for investigating functional brain networks. The functional connectivity is often quantified by statistical metrics (e.g. Pearson correlation coefficient), which m...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2015-09-01
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Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00316/full |