An automated method for identifying artifact in ICA of resting-state fMRI
An enduring issue with data-driven analysis and filtering methods is the interpretation of results. To assist, we present an automatic method for identifaction of artifact in independent components (ICs) derived from functional MRI (fMRI). The method was designed with the following features: Does no...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2013-07-01
|
Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00343/full |