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

Liangsuo Ma; Binquan Wang; Xiying Chen; Jinhu Xiong

doi:10.1016/j.mri.2006.09.032

Back

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

Journal article

Peer reviewed

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

Liangsuo Ma, Binquan Wang, Xiying Chen and Jinhu Xiong

Magnetic resonance imaging, Vol.25(1), pp.47-56

01/2007

DOI: 10.1016/j.mri.2006.09.032

PMID: 17222714

View Online

Abstract

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.

Data Interpretation, Statistical

Brain - anatomy & histology

Humans

Magnetic Resonance Imaging - statistics & numerical data

Middle Aged

Adolescent

Magnetic Resonance Imaging - methods

Signal Processing, Computer-Assisted

Adult

Female

Male

Brain - physiology

Details

Title: Subtitle: Detecting functional connectivity in the resting brain: a comparison between ICA and CCA
Creators: Liangsuo Ma - Department of Radiology, University of Iowa, Iowa City, IA 52242, USA. liangsuo-ma@uiowa.edu
Binquan Wang
Xiying Chen
Jinhu Xiong
Resource Type: Journal article
Publication Details: Magnetic resonance imaging, Vol.25(1), pp.47-56
DOI: 10.1016/j.mri.2006.09.032
PMID: 17222714
NLM abbreviation: Magn Reson Imaging
ISSN: 0730-725X
eISSN: 1873-5894
Grant note: 5 R01 NS046082 / NINDS NIH HHS
Language: English
Date published: 01/2007
Academic Unit: Roy J. Carver Department of Biomedical Engineering
Record Identifier: 9984083890402771

Metrics

27 Record Views

86 Times Cited - Web of Science