Optimizing Within-Subject Experimental Designs for jICA of Multi-Channel ERP and fMRI

Optimizing Within-Subject Experimental Designs for jICA of Multi-Channel ERP and fMRI

Joint independent component analysis (jICA) can be applied within subject for fusion of multi-channel event-related potentials (ERP) and functional magnetic resonance imaging (fMRI), to measure brain function at high spatiotemporal resolution (Mangalathu-Arumana et al., 2012). However, the impact of...

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Bibliographic Details
Main Authors: Jain Mangalathu-Arumana, Einat Liebenthal, Scott A. Beardsley
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-01-01
Series:Frontiers in Neuroscience
Subjects:
fMRI
ERP
EEG
independent component analysis (ICA)
multimodal neuroimaging
modeling
Online Access:http://journal.frontiersin.org/article/10.3389/fnins.2018.00013/full

Internet

http://journal.frontiersin.org/article/10.3389/fnins.2018.00013/full

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