Residential College | false |
Status | 已發表Published |
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 Publication | Visual Computing for Industry Biomedicine and Art |
ISSN | 2524-4442 |
Volume | 3Issue: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. |
Keyword | Steady State Visual Evoked Potentials Dynamic Facial Expressions Functional Near-infrared Spectroscopy Brain Oscillation |
DOI | 10.1186/s42492-020-00065-7 |
URL | View the original |
Indexed By | ESCI |
Language | 英語English |
WOS Research Area | Computer Science ; Engineering ; Imaging Science & Photographic Technology |
WOS Subject | Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology |
WOS ID | WOS:000705834500001 |
Scopus ID | 2-s2.0-85100785879 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences Faculty of Education DEPARTMENT OF PUBLIC HEALTH AND MEDICINAL ADMINISTRATION |
Corresponding Author | Yuan,Zhen |
Affiliation | 1.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 Affilication | Faculty of Health Sciences; University of Macau |
Corresponding Author Affilication | Faculty 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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