NDLI: Flexible complex ICA of fMRI data

Content Provider	IEEE Xplore Digital Library
Author	Hualiang Li Adali, T. Correa, N. Rodriguez, P.A. Calhoun, V.D.
Copyright Year	2010
Description	Author affiliation: University of Maryland Baltimore County, 21250, USA (Hualiang Li; Adali, T.; Correa, N.; Rodriguez, P.A.; Calhoun, V.D.)
Abstract	Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, by enabling one to work in its native, complex form, complex-valued ICA algorithms provide better estimation performance compared to the traditional approach that uses only the magnitude data. In the complex domain, circularity has been a common assumption even though most data acquisition methods collect fMRI data that end up being noncircular when saved in complex form. In this paper, we show that a complex ICA approach that does not assume circularity and also adapts to the source density is the more desirable one for performing ICA of complex fMRI data. We show that by adaptively matching the underlying fMRI density model, the analysis performance can be improved in terms of both the estimation of the task-related time courses and in the spatial activation.
Starting Page	2050
Ending Page	2053
File Size	620038
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Magnetic analysis Performance analysis Data analysis Image analysis Signal analysis Algorithm design and analysis Phase estimation Brain modeling Magnetic resonance imaging ICA fMRI complex analysis
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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