Please use this identifier to cite or link to this item:
|Title:||Independent component analysis based trial-to-trial variations reduction in fNIRS signal|
functional near-infrared spectroscopy (fNIRS)
spontaneous low frequency hemodynamic fluctuation
|Citation:||Hu, X.-S.,Hong, K.-S.,Ge, S.S. (2012). Independent component analysis based trial-to-trial variations reduction in fNIRS signal. 2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012 : 1429-1433. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMA.2012.6284346|
|Abstract:||Functional near-infrared spectroscopy (fNIRS) is emerging optical brain imaging technique. It measures the hemodynamic changes that effectively reflect the brain states. However, the fNIRS signal analysis is sensitive to the trial-to-trial variability (TTV), and the source of the TTV remains elusive. Previous functional magnetic resonance image (fMRI) study suggested that the TTV can be attributed to spontaneous low frequency hemodynamic fluctuation in fMRI signal. Meanwhile, recent fNIRS studies confirm that the spontaneous fluctuation in fNIRS signal can be robustly detected by functional near infrared spectroscopy (fNIRS). In this paper, we investigate the relationship between TTV and the spontaneous fluctuations in fNIRS signal. The subject is asked to complete a right finger tapping experiment. Independent component analysis as well as functional connectivity is used to reduce the TTV in the finger tapping experiment. The result suggests that the low frequency spontaneous fluctuation contribute significantly to the TTV in fNIRS signal. © 2012 IEEE.|
|Source Title:||2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Sep 22, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.