Lie detection study based on wavelet coherence analysis on multi-channel EEG signals
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

R338

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In order to distinguish the functional connectivity on different brain areas between two mental states of lying and telling-truth and to research this functional connectivity change in time-frequency domains,forty healthy right-handed subjects with an average age of 21 were randomly divided into two groups (20 each): Lying and telling-truth. Through standard three stimuli paradigm, we recorded the 12 channels electroencephalogram ( EEG) signalsin two states. Then, used wavelet coherence method to calculate the coherence coefficient on66 pairs of channelsof the following time-frequency bands:θ(0. 5 ~ 4Hz)、δ( 4 ~ 8Hz)、α( 8 ~ 13 Hz)、β( 13 ~ 30 Hz)、γ (30~ 100 Hz) and the time range of 250 ~ 1 300 ms after the stimuli ( typical occurrence time of P300). Analyzed the functional connectivity on different channels pairs in different time-frequency areas. Finally, Wilcoxon test was used to compare the difference of wavelet coherence on the same time-frequency domain between the two groups of the subjects. The experimental resultshows that in the time-frequency domain corresponding to frequency bands θ and δ, there were statistical differences in the coherence values of OZ-P4,OZP3 and P3-P4of the two groups of subjects. The finding indicates that when lying with physicalevidence, the associative visual cortex(P3 and OZ) and inferiorparietallobule ( P4) may be activated during utilitarian and nonutilitarian moral judgments, yielding significant statistical differences in the functional connectivity between different brain regions.

    Reference
    Related
    Cited by
Get Citation
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: November 20,2023
  • Published:
Article QR Code