TY  - JOUR
PY  - 2017//
TI  - Relationship between amplitude of resting-state fNIRS global signal and EEG vigilance measures
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Yuxuan Chen, 
A1  - Farrand, Jesse
A1  - Tang, Julia
A1  - Yafen Chen, 
A1  - O'Keeffe, Johnny
A1  - Guofa Shou, 
A1  - Lei Ding, 
A1  - Han Yuan, 
SP  - 537
EP  - 540
VL  - 2017
IS  - 
N2  - Most of the prior studies of functional connectivity in both healthy and diseased brain utilized resting-state functional magnetic resonance imaging (fMRI) as a measure to represent the temporal synchrony in blood oxygenation level dependent (BOLD) signals across brain regions. To eliminate the impact of widely distributed global signal component across the brain, many studies have adopted global signal regression (GSR) as a pre-processing approach to regress the global signal component out of BOLD signals followed by computing hemodynamic connectivity. However, the procedure of global signal regression has been debated as physiologically relevant component may be present in global signal. In this study, we aimed to address the controversy of global signal using functional non-invasive neuroimaging technology, i.e. functional near-infrared spectroscopy (fNIRS), which measures hemodynamic signals by probing local changes in oxygen consumption, a common imaging contrast measured by BOLD fMRI. In the current study, we acquired simultaneous EEG and fNIRS signals, both in high-density configuration and whole-brain coverage, in healthy individuals at eyes-open and eyes-closed resting state and at three different body positions. We explored the underlying relationship between fNIRS global signal and EEG vigilance, and have identified negative correlation between fNIRS global signal and EEG vigilance across the physiological variations of measurements.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2017.8036880
ID  - ref1
ER  -