Journal article
Comparison of TCA and ICA techniques in fMRI data processing
Journal of magnetic resonance imaging, Vol.19(4), pp.397-402
04/2004
DOI: 10.1002/jmri.20023
PMID: 15065162
Abstract
Purpose
To make a quantitative comparison of temporal cluster analysis (TCA) and independent component analysis (ICA) techniques in detecting brain activation by using simulated data and in vivo event-related functional MRI (fMRI) experiments.
Materials and Methods
A single-slice MRI image was replicated 150 times to simulate an fMRI time series. An event-related brain activation pattern with five different levels of intensity and Gaussian noise was superimposed on these images. Maximum contrast-to-noise ratio (CNR) of the signal change ranged from 1.0 to 2.0 by 0.25 increments. In vivo visual stimulation fMRI experiments were performed on a 1.9 T magnet. Six human volunteers participated in this study. All imaging data were analyzed using both TCA and ICA methods.
Results
Both simulated and in vivo data have shown that no statistically significant difference exists in the activation areas detected by both ICA and TCA techniques when CNR of fMRI signal is larger than 1.75.
Conclusion
TCA and ICA techniques are comparable in generating functional brain maps in event-related fMRI experiments. Although ICA has richer features in exploring the spatial and temporal information of the functional images, the TCA method has advantages in its computational efficiency, repeatability, and readiness to average data from group subjects.
Details
- Title: Subtitle
- Comparison of TCA and ICA techniques in fMRI data processing
- Creators
- Xia Zhao - Research Imaging Center, University of Texas Health Science Center, San Antonio, TexasDavid Glahn - Research Imaging Center, University of Texas Health Science Center, San Antonio, TexasLi Hai Tan - Joint Laboratories for Language and Cognitive Neuroscience, University of Hong Kong, Hong KongNing Li - Research Imaging Center, University of Texas Health Science Center, San Antonio, TexasJinhu Xiong - Research Imaging Center, University of Texas Health Science Center, San Antonio, TexasJia-Hong Gao - Research Imaging Center, University of Texas Health Science Center, San Antonio, Texas
- Resource Type
- Journal article
- Publication Details
- Journal of magnetic resonance imaging, Vol.19(4), pp.397-402
- DOI
- 10.1002/jmri.20023
- PMID
- 15065162
- NLM abbreviation
- J Magn Reson Imaging
- ISSN
- 1053-1807
- eISSN
- 1522-2586
- Publisher
- Wiley Subscription Services, Inc., A Wiley Company
- Number of pages
- 6
- Language
- English
- Date published
- 04/2004
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984083282102771
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