A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection
Neuroimaging technologies have improved our understanding of deception and also exhibit their potential in revealing the origins of its neural mechanism. In this study, a quantitative power analysis method that uses the Welch power spectrum estimation of functional near-infrared spectroscopy (fNIRS)...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-01-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnhum.2020.606238/full |
| _version_ | 1818821665308540928 |
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| author | Jiang Zhang Jingyue Zhang Houhua Ren Qihong Liu Zhengcong Du Lan Wu Liyang Sai Liyang Sai Zhen Yuan Site Mo Xiaohong Lin |
| author_facet | Jiang Zhang Jingyue Zhang Houhua Ren Qihong Liu Zhengcong Du Lan Wu Liyang Sai Liyang Sai Zhen Yuan Site Mo Xiaohong Lin |
| author_sort | Jiang Zhang |
| collection | DOAJ |
| description | Neuroimaging technologies have improved our understanding of deception and also exhibit their potential in revealing the origins of its neural mechanism. In this study, a quantitative power analysis method that uses the Welch power spectrum estimation of functional near-infrared spectroscopy (fNIRS) signals was proposed to examine the brain activation difference between the spontaneous deceptive behavior and controlled behavior. The power value produced by the model was applied to quantify the activity energy of brain regions, which can serve as a neuromarker for deception detection. Interestingly, the power analysis results generated from the Welch spectrum estimation method demonstrated that the spontaneous deceptive behavior elicited significantly higher power than that from the controlled behavior in the prefrontal cortex. Meanwhile, the power findings also showed significant difference between the spontaneous deceptive behavior and controlled behavior, indicating that the reward system was only involved in the deception. The proposed power analysis method for processing fNIRS data provides us an additional insight to understand the cognitive mechanism of deception. |
| first_indexed | 2024-12-18T23:11:48Z |
| format | Article |
| id | doaj.art-e379e89bc1c84629b4aeada1d4047dd0 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-18T23:11:48Z |
| publishDate | 2021-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-e379e89bc1c84629b4aeada1d4047dd02022-12-21T20:48:19ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612021-01-011410.3389/fnhum.2020.606238606238A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception DetectionJiang Zhang0Jingyue Zhang1Houhua Ren2Qihong Liu3Zhengcong Du4Lan Wu5Liyang Sai6Liyang Sai7Zhen Yuan8Site Mo9Xiaohong Lin10College of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaChina Mobile (Chengdu) Industrial Research Institute, Chengdu, ChinaCollege of Biomedical Engineering, Sichuan University, Chengdu, ChinaSchool of Information Science and Technology, Xichang University, Xichang, ChinaSichuan Cancer Hospital and Institute, Chengdu, ChinaInstitutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, ChinaDepartment of Psychology, Zhejiang Normal University, Jinhua, ChinaBioimaging Core, Faculty of Health Sciences, University of Macau, Taipa, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaInstitutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, ChinaNeuroimaging technologies have improved our understanding of deception and also exhibit their potential in revealing the origins of its neural mechanism. In this study, a quantitative power analysis method that uses the Welch power spectrum estimation of functional near-infrared spectroscopy (fNIRS) signals was proposed to examine the brain activation difference between the spontaneous deceptive behavior and controlled behavior. The power value produced by the model was applied to quantify the activity energy of brain regions, which can serve as a neuromarker for deception detection. Interestingly, the power analysis results generated from the Welch spectrum estimation method demonstrated that the spontaneous deceptive behavior elicited significantly higher power than that from the controlled behavior in the prefrontal cortex. Meanwhile, the power findings also showed significant difference between the spontaneous deceptive behavior and controlled behavior, indicating that the reward system was only involved in the deception. The proposed power analysis method for processing fNIRS data provides us an additional insight to understand the cognitive mechanism of deception.https://www.frontiersin.org/articles/10.3389/fnhum.2020.606238/fullfunctional near-infrared spectroscopypowerWelch power spectrum estimationdeceptionquantitative analysis |
| spellingShingle | Jiang Zhang Jingyue Zhang Houhua Ren Qihong Liu Zhengcong Du Lan Wu Liyang Sai Liyang Sai Zhen Yuan Site Mo Xiaohong Lin A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection Frontiers in Human Neuroscience functional near-infrared spectroscopy power Welch power spectrum estimation deception quantitative analysis |
| title | A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection |
| title_full | A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection |
| title_fullStr | A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection |
| title_full_unstemmed | A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection |
| title_short | A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection |
| title_sort | look into the power of fnirs signals by using the welch power spectral estimate for deception detection |
| topic | functional near-infrared spectroscopy power Welch power spectrum estimation deception quantitative analysis |
| url | https://www.frontiersin.org/articles/10.3389/fnhum.2020.606238/full |
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