Research Papers: Imaging

Spatiotemporal and time-frequency analysis of functional near infrared spectroscopy brain signals using independent component analysis

[+] Author Affiliations
Zhen Yuan

University of Macau, Bioimaging Core, Faculty of Health Sciences, Av. Padre Tomás Pereira, Taipa, Macau SAR, China

J. Biomed. Opt. 18(10), 106011 (Oct 22, 2013). doi:10.1117/1.JBO.18.10.106011
History: Received June 26, 2013; Revised August 28, 2013; Accepted September 20, 2013
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Abstract.  Functional near infrared spectroscopy (fNIRS) is a noninvasive method to capture brain activities according to the measurements of changes in both oxyhemoglobin and deoxyhemoglobin concentrations. However, fNIRS recordings are the hemodynamic signals that come from the latent neural sources that are spatially and temporally mixed across the brain. The purpose of this work is to extract the temporal and frequency characteristics as well as the spatial activation patterns in the brains using independent component analysis (ICA). In this study, the filtered fNIRS recordings were processed and the time-frequency and spatiotemporal domain independent components (ICs) were identified by ICA. We found that multiple task-related components can be separated by ICA in time-frequency domain, and distinct spatial patterns of brain activity can be derived from ICs that are well correlated with the specific neural events, such as finger tapping tasks.

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Citation

Zhen Yuan
"Spatiotemporal and time-frequency analysis of functional near infrared spectroscopy brain signals using independent component analysis", J. Biomed. Opt. 18(10), 106011 (Oct 22, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.10.106011


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