Literature DB >> 24514911

Detecting concealed information using functional near-infrared spectroscopy.

Liyang Sai1, Xiaomei Zhou, Xiao Pan Ding, Genyue Fu, Biao Sang.   

Abstract

The present study focused on the potential application of fNIRS in the detection of concealed information. Participants either committed a mock crime or not and then were presented with a randomized series of probes (crime-related information) and irrelevants (crime-irrelevant information) in a standard concealed information test (CIT). Participants in the guilty group were instructed to conceal crime-related information they obtained from the mock crime, thus making deceptive response to the probes. Meanwhile, their brain activity to probes and irrelevants was recorded by functional near-infrared spectroscopy (fNIRS). At the group level, we found that probe items were associated with longer reaction times and greater activity in bilateral dorsolateral prefrontal cortex and supplementary motor cortex than irrelevant items in the guilty group, but not in the innocent group. These findings provided evidence on neural correlates of recognition during a CIT. Finally, on the basis of the activity in bilateral dorsolateral prefrontal cortex and supplementary motor cortex, the correct classification of guilty versus innocent participants was approximately 75 % and the combination of fNIRS and reaction time measures yielded a better classification rate of 83.3 %. These findings illustrate the feasibility and promise of using fNIRS to detect concealed information.

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Year:  2014        PMID: 24514911     DOI: 10.1007/s10548-014-0352-z

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  10 in total

1.  Using functional near-infrared spectroscopy (fNIRS) to detect the prefrontal cortical responses to deception under different motivations.

Authors:  Fang Li; Huilin Zhu; Qianqian Gao; Guixiong Xu; Xinge Li; Ziqiang Hu; Sailing He
Journal:  Biomed Opt Express       Date:  2015-08-24       Impact factor: 3.732

2.  The Role of Reward System in Dishonest Behavior: A Functional Near-Infrared Spectroscopy Study.

Authors:  Yibiao Liang; Genyue Fu; Runxin Yu; Yue Bi; Xiao Pan Ding
Journal:  Brain Topogr       Date:  2020-11-01       Impact factor: 3.020

3.  Single-trial lie detection using a combined fNIRS-polygraph system.

Authors:  M Raheel Bhutta; Melissa J Hong; Yun-Hee Kim; Keum-Shik Hong
Journal:  Front Psychol       Date:  2015-06-02

4.  Human cortical neural correlates of visual fatigue during binocular depth perception: An fNIRS study.

Authors:  Tingting Cai; Huilin Zhu; Jie Xu; Shijing Wu; Xinge Li; Sailing He
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

5.  Lie Detection Using fNIRS Monitoring of Inhibition-Related Brain Regions Discriminates Infrequent but not Frequent Liars.

Authors:  Fang Li; Huilin Zhu; Jie Xu; Qianqian Gao; Huan Guo; Shijing Wu; Xinge Li; Sailing He
Journal:  Front Hum Neurosci       Date:  2018-03-13       Impact factor: 3.169

6.  Neuroethics of Non-primary Brain Computer Interface: Focus on Potential Military Applications.

Authors:  Charles N Munyon
Journal:  Front Neurosci       Date:  2018-10-23       Impact factor: 4.677

7.  When do we fall in neural synchrony with others?

Authors:  Kelong Lu; Ning Hao
Journal:  Soc Cogn Affect Neurosci       Date:  2019-03-05       Impact factor: 3.436

8.  Mapping the small-world properties of brain networks in deception with functional near-infrared spectroscopy.

Authors:  Jiang Zhang; Xiaohong Lin; Genyue Fu; Liyang Sai; Huafu Chen; Jianbo Yang; Mingwen Wang; Qi Liu; Gang Yang; Junran Zhang; Zhen Yuan
Journal:  Sci Rep       Date:  2016-04-29       Impact factor: 4.379

9.  Feasibility of Functional Near-Infrared Spectroscopy (fNIRS) to Investigate the Mirror Neuron System: An Experimental Study in a Real-Life Situation.

Authors:  Pei-Pei Sun; Fu-Lun Tan; Zong Zhang; Yi-Han Jiang; Yang Zhao; Chao-Zhe Zhu
Journal:  Front Hum Neurosci       Date:  2018-03-05       Impact factor: 3.169

10.  Separating the Wheat From the Chaff: Guidance From New Technologies for Detecting Deception in the Courtroom.

Authors:  Judee K Burgoon
Journal:  Front Psychiatry       Date:  2019-01-17       Impact factor: 4.157

  10 in total

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