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Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation
Wang,Meng Yun1,2; Yuan,Anzhe3; Zhang,Juan2,4; Xiang,Yutao1,2; Yuan,Zhen1,2
2020-12-01
Source PublicationVisual Computing for Industry Biomedicine and Art
ISSN2524-4442
Volume3Issue:1Pages:28
Abstract

Brain oscillations are vital to cognitive functions, while disrupted oscillatory activity is linked to various brain disorders. Although high-frequency neural oscillations (> 1 Hz) have been extensively studied in cognition, the neural mechanisms underlying low-frequency hemodynamic oscillations (LFHO) < 1 Hz have not yet been fully explored. One way to examine oscillatory neural dynamics is to use a facial expression (FE) paradigm to induce steady-state visual evoked potentials (SSVEPs), which has been used in electroencephalography studies of high-frequency brain oscillation activity. In this study, LFHO during SSVEP-inducing periodic flickering stimuli presentation were inspected using functional near-infrared spectroscopy (fNIRS), in which hemodynamic responses in the prefrontal cortex were recorded while participants were passively viewing dynamic FEs flickering at 0.2 Hz. The fast Fourier analysis results demonstrated that the power exhibited monochronic peaks at 0.2 Hz across all channels, indicating that the periodic events successfully elicited LFHO in the prefrontal cortex. More importantly, measurement of LFHO can effectively distinguish the brain activation difference between different cognitive conditions, with happy FE presentation showing greater LFHO power than neutral FE presentation. These results demonstrate that stimuli flashing at a given frequency can induce LFHO in the prefrontal cortex, which provides new insights into the cognitive mechanisms involved in slow oscillation.

KeywordSteady State Visual Evoked Potentials Dynamic Facial Expressions Functional Near-infrared Spectroscopy Brain Oscillation
DOI10.1186/s42492-020-00065-7
URLView the original
Indexed ByESCI
Language英語English
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS IDWOS:000705834500001
Scopus ID2-s2.0-85100785879
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Document TypeJournal article
CollectionFaculty of Health Sciences
Faculty of Education
DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION
Corresponding AuthorYuan,Zhen
Affiliation1.Faculty of Health Sciences,University of Macau,Taipa,999078,Macao
2.Centre for Cognitive and Brain Sciences,University of Macau,Taipa,999078,Macao
3.Eastside High School,Gainesville,1201 SE 43rd Street,32641,United States
4.Faculty of Education,University of Macau,Taipa,999078,Macao
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Wang,Meng Yun,Yuan,Anzhe,Zhang,Juan,et al. Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation[J]. Visual Computing for Industry Biomedicine and Art, 2020, 3(1), 28.
APA Wang,Meng Yun., Yuan,Anzhe., Zhang,Juan., Xiang,Yutao., & Yuan,Zhen (2020). Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation. Visual Computing for Industry Biomedicine and Art, 3(1), 28.
MLA Wang,Meng Yun,et al."Functional near-infrared spectroscopy can detect low-frequency hemodynamic oscillations in the prefrontal cortex during steady-state visual evoked potential-inducing periodic facial expression stimuli presentation".Visual Computing for Industry Biomedicine and Art 3.1(2020):28.
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