NDLI: FMRI data analysis by blind source separation algorithms: A comparison study for nongaussian properties

Content Provider	IEEE Xplore Digital Library
Author	Ghasemi, M. Mahloojifar, A.
Copyright Year	2010
Description	Author affiliation: Biomedical Engineering Department, Tarbiat Modares University, Tehran, Iran (Ghasemi, M.; Mahloojifar, A.)
Abstract	The application of Independent Component Analysis (ICA) to functional magnetic resonance imaging (FMRI) data has proven to be quite fruitful. In this sense, an important problem is different nongaussian properties of FMRI data that should be considered in ICA application. In this paper, we have experimentally compared nongaussian source separation ability of three ICA/BSS approaches for fMRI: Infomax, FastICA and JADE. The comparison study used both simulated fMRI-like data generated using the synthesis model and actual fMRI data performing an audio-visual stimulation task. The results were evaluated by task-related activation maps and associated time-courses. Based on our result, Infomax emerged as a reliable choice for the task followed by JADE. FastICA didn't perform reliably especially for sub-gaussian sources.
Starting Page	13
Ending Page	17
File Size	306262
Page Count	5
File Format	PDF
ISBN	9781424467600
e-ISBN	9781424467600
DOI	10.1109/IRANIANCEE.2010.5507112
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brain Data analysis Source separation Nongaussian distributions Independent component analysis Blind source separation Spatial Independent Component analysis (SICA) algorithms Blood Magnetic resonance imaging Functional Magnetic Resonance Imaging (fMRI) Component Magnetic properties Biomedical engineering Magnetic recording
Content Type	Text
Resource Type	Article

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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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