Detecting functional connectivity in the resting brain: a comparison between ICA and CCA.

Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Research Abstract Details 

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Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Abstract Text:

Liangsuo Ma,Binquan Wang,Xiying Chen,Jinhu Xiong,

Independent component analysis (ICA) and cross-correlation analysis (CCA) are general tools for detecting resting-state functional connectivity. In this study, we jointly evaluated these two approaches based on simulated data and in vivo functional magnetic resonance imaging data acquired from 10 resting healthy subjects. The influence of the number of independent components (maps) on the results of ICA was investigated. The influence of the selection of the seeds on the results of CCA was also examined. Our results reveal that significant differences between these two approaches exist. The performance of ICA is superior as compared with that of CCA; in addition, the performance of ICA is not significantly affected by structured noise over a relatively large range. The results of ICA could be affected by the number of independent components if this number is too small, however. Converting the spatially independent maps of ICA into z maps for thresholding tends to overestimate the false-positive rate. However, the overestimation is not very severe and may be acceptable in most cases. The results of CCA are dependent on seeds location. Seeds selected based on different criteria will significantly affect connectivity maps.

Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Publishing Authors By Initials

L Ma,B Wang,X Chen,J Xiong,

For similar information science: computing methodologies: signal processing, computer-assisted research abstracts see: information science: computing methodologies: signal processing, computer-assisted research

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Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Magnetic resonance imaging

VOLUME: 25

Page Numbers: 47-56

Journal Abbreviation:

ISSN: 0730-725X

DAY: 20

MONTH: 11

YEAR: 2006

Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Information

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LANGUAGE: eng

NlmUniqueID: 8214883

Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Keywords Mesh Terms:

KEYWORDS: Signal Processing, Computer-Assisted

MESH TERMS: statistics & numerical data

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Grant and Affiliation Information for Detecting functional connectivity in the resting brain: a comparison between ICA and CCA.

AFFILIATION: Department of Radiology, University of Iowa, Iowa City, IA 52242, USA. liangsuo-ma@uiowa.edu

Country: United States

AGENCY: United States NINDS

GRANT: 5 R01 NS046082

ACRONYM: NS

MEDLINETA: Magn Reson Imaging

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