Research Papers: Sensing

Reduction of trial-to-trial variability in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity

[+] Author Affiliations
Xiao-Su Hu

Pusan National University, Department of Cogno-Mechatronics Engineering, 30 Jangjeon-dong, Gumjeong-gu, Busan 609-735, Republic of Korea

Keum-Shik Hong

Pusan National University, Department of Cogno-Mechatronics Engineering, 30 Jangjeon-dong, Gumjeong-gu, Busan 609-735, Republic of Korea

Pusan National University, School of Mechanical Engineering, 30 Jangjeon-dong, Gumjeong-gu, Busan 609-735, Republic of Korea

Shuzhi Sam Ge

Pusan National University, Department of Cogno-Mechatronics Engineering, 30 Jangjeon-dong, Gumjeong-gu, Busan 609-735, Republic of Korea

National University of Singapore, Department of Electrical & Computer Engineering, 117576 Singapore

J. Biomed. Opt. 18(1), 017003 (Jan 04, 2013). doi:10.1117/1.JBO.18.1.017003
History: Received May 17, 2012; Revised November 6, 2012; Accepted December 3, 2012
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Abstract.  The reduction of trial-to-trial variability (TTV) in task-evoked functional near-infrared spectroscopy signals by considering the correlated low-frequency spontaneous fluctuations that account for the resting-state functional connectivity in the brain is investigated. A resting-state session followed by a task-state session of a right hand finger-tapping task has been performed on five subjects. Significant ipsilateral and bilateral resting-state functional connectivity has been detected at the subjects’ motor cortex using the seed correlation method. The correlation coefficients obtained during the resting-state are used to reduce the TTV in the signals measured during the task sessions. The results suggest that correlated spontaneous low-frequency fluctuations contribute significantly to the TTV in the task evoked fNIRS signals.

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© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Xiao-Su Hu ; Keum-Shik Hong and Shuzhi Sam Ge
"Reduction of trial-to-trial variability in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity", J. Biomed. Opt. 18(1), 017003 (Jan 04, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.1.017003


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