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Journal of Biomedical Optics

Hemodynamic and electrophysiological signals of conflict processing in the Chinese-character Stroop task: a simultaneous near-infrared spectroscopy and event-related potential study
Author(s): Jiahuan Zhai; Ting Li; Zhongxing Zhang; Hui Gong
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Paper Abstract

A dual-modality method combining continuous-wave near-infrared spectroscopy (NIRS) and event-related potentials (ERPs) was developed for the Chinese-character color-word Stroop task, which included congruent, incongruent, and neutral stimuli. Sixteen native Chinese speakers participated in this study. Hemodynamic and electrophysiological signals in the prefrontal cortex (PFC) were monitored simultaneously by NIRS and ERP. The hemodynamic signals were represented by relative changes in oxy-, deoxy-, and total hemoglobin concentration, whereas the electrophysiological signals were characterized by the parameters P450, N500, and P600. Both types of signals measured at four regions of the PFC were analyzed and compared spatially and temporally among the three different stimuli. We found that P600 signals correlated significantly with the hemodynamic parameters, suggesting that the PFC executes conflict-solving function. Additionally, we observed that the change in deoxy-Hb concentration showed higher sensitivity in response to the Stroop task than other hemodynamic signals. Correlation between NIRS and ERP signals revealed that the vascular response reflects the cumulative effect of neural activities. Taken together, our findings demonstrate that this new dual-modality method is a useful approach to obtaining more information during cognitive and physiological studies

Paper Details

Date Published: 1 September 2009
PDF: 7 pages
J. Biomed. Opt. 14(5) 054022 doi: 10.1117/1.3247152
Published in: Journal of Biomedical Optics Volume 14, Issue 5
Show Author Affiliations
Jiahuan Zhai, Huazhong Univ. of Science and Technology (China)
Ting Li, Huazhong Univ. of Science and Technology (China)
Zhongxing Zhang, Huazhong Univ. of Science and Technology (China)
Hui Gong, Huazhong Univ. of Science and Technology (China)

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