An empirical comparison of information-theoretic criteria in estimating the number of independent components of fMRI data.

An empirical comparison of information-theoretic criteria in estimating the number of independent components of fMRI data.

BACKGROUND: Independent Component Analysis (ICA) has been widely applied to the analysis of fMRI data. Accurate estimation of the number of independent components of fMRI data is critical to reduce over/under fitting. Although various methods based on Information Theoretic Criteria (ITC) have been u...

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Bibliographic Details
Main Authors: Mingqi Hui, Juan Li, Xiaotong Wen, Li Yao, Zhiying Long
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3246467?pdf=render

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