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2008 International Conference on BioMedical Engineering and Informatics
Independent Component Analysis of Event-related Functional Near-infrared Spectroscopy (fNIRS)
May 27-May 30
ISBN: 978-0-7695-3118-2
| ASCII Text | x | ||
| Yun Jiao, Zhenyu Zhou, Hui Wang, Hongyu Yang, Zongcai Ruan, Hui Gong, Zuhong Lu, "Independent Component Analysis of Event-related Functional Near-infrared Spectroscopy (fNIRS)," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 440-444, 2008 International Conference on BioMedical Engineering and Informatics, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/BMEI.2008.95, author = {Yun Jiao and Zhenyu Zhou and Hui Wang and Hongyu Yang and Zongcai Ruan and Hui Gong and Zuhong Lu}, title = {Independent Component Analysis of Event-related Functional Near-infrared Spectroscopy (fNIRS)}, journal ={BioMedical Engineering and Informatics, International Conference on}, volume = {2}, year = {2008}, isbn = {978-0-7695-3118-2}, pages = {440-444}, doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.95}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - BioMedical Engineering and Informatics, International Conference on TI - Independent Component Analysis of Event-related Functional Near-infrared Spectroscopy (fNIRS) SN - 978-0-7695-3118-2 SP440 EP444 A1 - Yun Jiao, A1 - Zhenyu Zhou, A1 - Hui Wang, A1 - Hongyu Yang, A1 - Zongcai Ruan, A1 - Hui Gong, A1 - Zuhong Lu, PY - 2008 KW - null VL - 2 JA - BioMedical Engineering and Informatics, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.95
Functional near-infrared spectroscopy (fNIRS) is a non-invasive method for studying functional activation via monitoring changes of the hemodynamic properties in brain and event-related experimental in examining cognitive processes is very useful but much more flexible in data analysis. To validate the usefulness of independent component analysis (ICA) of event-related fNRIS data, a “high-motivation” GKT (Guilty Knowledge Test) task was applied. A very efficient method of maximization suited called FastICA was applied to maximize the contrast function in practice. Compared with the fMRI studies of ICA,???the oxy-HB (oxygenated hemoglobin) signals can be decomposed and the active areas can be found in emotional behavior. The time courses and active regions of the event-related ICA components were consistent across trials. ICA approach delivers valid fNIRS amplitude estimations and enables the analysis of event-related fNIRS data series which are highly relevant in particular for cognitive fNIRS studies.
Citation:
Yun Jiao, Zhenyu Zhou, Hui Wang, Hongyu Yang, Zongcai Ruan, Hui Gong, Zuhong Lu, "Independent Component Analysis of Event-related Functional Near-infrared Spectroscopy (fNIRS)," bmei, vol. 2, pp.440-444, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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