ArticleFrontiers in psychology2015
Single-trial lie detection using a combined fNIRS-polygraph system.
Article in Frontiers in psychology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 103 citations in OpenAlex.
- Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario.Frontiers in computational neuroscience · 2023Article
- Novel Approaches and Cognitive Neuroscience Perspectives on False Memory and Deception.Frontiers in psychology · 2022Article
- The role of anterior prefrontal cortex (area 10) in face-to-face deception measured with fNIRS.Social cognitive and affective neuroscience · 2021Article
- Decoding Multiple Sound-Categories in the Auditory Cortex by Neural Networks: An fNIRS Study.Frontiers in human neuroscience · 2021Article
- Decoding of Walking Imagery and Idle State Using Sparse Representation Based on fNIRS.Computational intelligence and neuroscience · 2021Article
- [Recognition of three different imagined movement of the right foot based on functional near-infrared spectroscopy].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
- A Look Into the Power of fNIRS Signals by Using the Welch Power Spectral Estimate for Deception Detection.Frontiers in human neuroscience · 2020Article
- Reinforcement-Sensitive Personality Traits Associated With Passion in Heterosexual Intimate Relationships: An fNIRS Investigation.Frontiers in behavioral neuroscience · 2020Article
- Random Subspace Ensemble Learning for Functional Near-Infrared Spectroscopy Brain-Computer Interfaces.Frontiers in human neuroscience · 2020Article
- Using Polygraph to Detect Passengers Carrying Illegal Items.Frontiers in psychology · 2019Article
- Adaptive filtering of physiological noises in fNIRS data.Biomedical engineering online · 2018Article
- Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces.Frontiers in human neuroscience · 2018Review
- Lie Detection Using fNIRS Monitoring of Inhibition-Related Brain Regions Discriminates Infrequent but not Frequent Liars.Frontiers in human neuroscience · 2018Article
- Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis.Scientific reports · 2017Article
- Selectivity and Longevity of Peripheral-Nerve and Machine Interfaces: A Review.Frontiers in neurorobotics · 2017Review
- Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review.Frontiers in neurorobotics · 2017Review
- Hybrid EEG-fNIRS-Based Eight-Command Decoding for BCI: Application to Quadcopter Control.Frontiers in neurorobotics · 2017Article
- Detection and classification of three-class initial dips from prefrontal cortex.Biomedical optics express · 2017Article
- Bundled-optode implementation for 3D imaging in functional near-infrared spectroscopy.Biomedical optics express · 2016Article
- Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.Frontiers in human neuroscience · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities in addition to several physiological changes in the body. A polygraph, which can measure some of the physiological responses from the body, has been widely employed in lie-detection. Many researchers, however, believe that lie detection can become more precise if the neuronal changes that occur in the process of deception can be isolated and measured. In this study, we combine both measures (i.e., physiological and neuronal changes) for enhanced lie-detection. Specifically, to investigate the deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) is applied at the prefrontal cortex besides a commercially available polygraph system. A mock crime scenario with a single-trial stimulus is set up as a deception protocol. The acquired data are classified into "true" and "lie" classes based on the fNIRS-based hemoglobin-concentration changes and polygraph-based physiological signal changes. Linear discriminant analysis is utilized as a classifier. The results indicate that the combined fNIRS-polygraph system delivers much higher classification accuracy than that of a singular system. This study demonstrates a plausible solution toward single-trial lie-detection by combining fNIRS and the polygraph.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.