The Use of Positive-Negative Area Measure in the P300-based Concealed Information Test

In the P300-based concealed information test (P300-based CIT), peak-to-peak P300 amplitude is commonly used to measure P300.However, peak-to-peak P300 amplitude tends to be underestimated as the variability of P300 latency increases.The positive-negative P300 area is expected to be less affected by P300 latency variability.This study aims to verify whether using the positive-negative P300 area in P300-based CIT results in a higher accuracy rate than using peak-topeak P300 amplitude.Data from four previous studies, comprising 209 P300-based CIT experimental cases, were collected and analyzed.In the guilty condition, the mean difference in the positivenegative P300 area between the probe and irrelevant stimuli was statistically significant, and a similar effect was observed in the peak-to-peak P300 amplitude.In the innocent condition, neither the mean difference in peak-to-peak P300 amplitude nor the difference in the positive-negative P300 area was substantial.A permutation test for individual classification showed that the hit rate using the positivenegative P300 area was .50,higher than the hit rate of .43 using peak-to-peak P300 amplitude.The false alarm rate was .07 for the positive-negative P300 area, similar to the false alarm rate of .09for peak-to-peak P300 amplitude.Therefore, the accuracy rate was higher when using the positivenegative P300 area than when using peak-to-peak P300 amplitude.The findings of this study can be directly applied to real-world practice.

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Publication Details

Journal
Asia-pacific Journal of Convergent Research Interchange
Published
2025-05-29
DOI
https://doi.org/10.47116/apjcri.2025.05.28
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
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article

The Use of Positive-Negative Area Measure in the P300-based Concealed Information Test

Jin‐Sup Eom
Asia-pacific Journal of Convergent Research Interchange
Adversarial Robustness in Machine Learning
article

The Use of Positive-Negative Area Measure in the P300-based Concealed Information Test

Jin‐Sup Eom
article en

Abstract

In the P300-based concealed information test (P300-based CIT), peak-to-peak P300 amplitude is commonly used to measure P300.However, peak-to-peak P300 amplitude tends to be underestimated as the variability of P300 latency increases.The positive-negative P300 area is expected to be less affected by P300 latency variability.This study aims to verify whether using the positive-negative P300 area in P300-based CIT results in a higher accuracy rate than using peak-topeak P300 amplitude.Data from four previous studies, comprising 209 P300-based CIT experimental cases, were collected and analyzed.In the guilty condition, the mean difference in the positivenegative P300 area between the probe and irrelevant stimuli was statistically significant, and a similar effect was observed in the peak-to-peak P300 amplitude.In the innocent condition, neither the mean difference in peak-to-peak P300 amplitude nor the difference in the positive-negative P300 area was substantial.A permutation test for individual classification showed that the hit rate using the positivenegative P300 area was .50,higher than the hit rate of .43 using peak-to-peak P300 amplitude.The false alarm rate was .07 for the positive-negative P300 area, similar to the false alarm rate of .09for peak-to-peak P300 amplitude.Therefore, the accuracy rate was higher when using the positivenegative P300 area than when using peak-to-peak P300 amplitude.The findings of this study can be directly applied to real-world practice.

Asia-pacific Journal of Convergent Research InterchangeVol. 11(5)
Reduced inequalities
Openalex Percentile: Top 94%
Adversarial Robustness in Machine Learning
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