A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA

Jia Chen Wang; Qiu Hua Lin; Fengyu Cong; Vince D. Calhoun

doi:10.1109/ICAwST.2011.6163131

A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA

Jia Chen Wang, Qiu Hua Lin, Fengyu Cong, Vince D. Calhoun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The spatial components included in complex-valued functional magnetic resonance imaging (fMRI) data are generally assumed to be noncircular signals. In this paper, we try to quantitatively investigate the noncircularity of fMRI with a measure called the degree of impropriety (DOI). Two semi-blind complex ICA algorithms, the kurtosis maximization (KM) algorithm suitable for separating noncircular sources and the complex fastICA algorithm (CfastICA) derived for recovering circular signals, are performed to estimate the spatial components, and two kinds of fMRI data including a simulated complex-valued fMRI dataset and a real complex-valued fMRI data are used for DOI tests. Results show that, semi-blind KM algorithm always outperforms semi-blind CfastICA algorithm, the DOI indices for the estimated components from the real fMRI data are smaller than those from the simulated fMRI data but significantly larger than typical circular signals. Therefore, it is reasonable to conclude that the complex-valued components of fMRI are noncircular.

Original language	English (US)
Title of host publication	Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
Pages	154-159
Number of pages	6
DOIs	https://doi.org/10.1109/ICAwST.2011.6163131
State	Published - 2011
Externally published	Yes
Event	2011 3rd International Conference on Awareness Science and Technology, iCAST 2011 - Dalian, China Duration: Sep 27 2011 → Sep 30 2011

Publication series

Name	Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011

Other

Other	2011 3rd International Conference on Awareness Science and Technology, iCAST 2011
Country/Territory	China
City	Dalian
Period	9/27/11 → 9/30/11

Keywords

complex ICA
complex-valued fMRI
degree of impropriety (DOI)
noncircularity
semi-blind ICA

ASJC Scopus subject areas

Computational Theory and Mathematics
Computer Science Applications

Access to Document

10.1109/ICAwST.2011.6163131

Cite this

Wang, J. C., Lin, Q. H., Cong, F., & Calhoun, V. D. (2011). A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA. In Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011 (pp. 154-159). Article 6163131 (Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011). https://doi.org/10.1109/ICAwST.2011.6163131

A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA. / Wang, Jia Chen; Lin, Qiu Hua; Cong, Fengyu et al.
Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011. 2011. p. 154-159 6163131 (Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, JC, Lin, QH, Cong, F & Calhoun, VD 2011, A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA. in Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011., 6163131, Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011, pp. 154-159, 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011, Dalian, China, 9/27/11. https://doi.org/10.1109/ICAwST.2011.6163131

Wang JC, Lin QH, Cong F, Calhoun VD. A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA. In Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011. 2011. p. 154-159. 6163131. (Proceedings of 2011 3rd International Conference on Awareness Science and Technology, iCAST 2011). doi: 10.1109/ICAwST.2011.6163131

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title = "A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA",

abstract = "The spatial components included in complex-valued functional magnetic resonance imaging (fMRI) data are generally assumed to be noncircular signals. In this paper, we try to quantitatively investigate the noncircularity of fMRI with a measure called the degree of impropriety (DOI). Two semi-blind complex ICA algorithms, the kurtosis maximization (KM) algorithm suitable for separating noncircular sources and the complex fastICA algorithm (CfastICA) derived for recovering circular signals, are performed to estimate the spatial components, and two kinds of fMRI data including a simulated complex-valued fMRI dataset and a real complex-valued fMRI data are used for DOI tests. Results show that, semi-blind KM algorithm always outperforms semi-blind CfastICA algorithm, the DOI indices for the estimated components from the real fMRI data are smaller than those from the simulated fMRI data but significantly larger than typical circular signals. Therefore, it is reasonable to conclude that the complex-valued components of fMRI are noncircular.",

keywords = "complex ICA, complex-valued fMRI, degree of impropriety (DOI), noncircularity, semi-blind ICA",

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AB - The spatial components included in complex-valued functional magnetic resonance imaging (fMRI) data are generally assumed to be noncircular signals. In this paper, we try to quantitatively investigate the noncircularity of fMRI with a measure called the degree of impropriety (DOI). Two semi-blind complex ICA algorithms, the kurtosis maximization (KM) algorithm suitable for separating noncircular sources and the complex fastICA algorithm (CfastICA) derived for recovering circular signals, are performed to estimate the spatial components, and two kinds of fMRI data including a simulated complex-valued fMRI dataset and a real complex-valued fMRI data are used for DOI tests. Results show that, semi-blind KM algorithm always outperforms semi-blind CfastICA algorithm, the DOI indices for the estimated components from the real fMRI data are smaller than those from the simulated fMRI data but significantly larger than typical circular signals. Therefore, it is reasonable to conclude that the complex-valued components of fMRI are noncircular.

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A quantitative analysis of noncircularity for complex-valued fMRI based on semi-blind ICA

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