ICA analysis of fMRI with real-time constraints: an evaluation of fast detection performance as function of algorithms, parameters and a priori conditions

ICA analysis of fMRI with real-time constraints: an evaluation of fast detection performance as function of algorithms, parameters and a priori conditions

Independent Component Analysis (ICA) techniques offer a data-driven possibility to analyse brain functional MRI data in real-time. Typical ICA methods used in fMRI, however, have been until now mostly developed and optimized for the off-line case in which all data is available. Real-time experiments...

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Bibliographic Details
Main Authors: Nicola eSoldati, Vince D Calhoun, Lorenzo eBruzzone, Jorge eJovicich
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-02-01
Series:Frontiers in Human Neuroscience
Subjects:
Real-time
Independent Component Analysis
Whole-brain fMRI
Ill-posed problems
a priori knowledge
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00019/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00019/full

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