Electrophysiological markers of working memory usage as an index for truth-based lies

Yu Hui Lo, Philip Tseng

Research output: Contribution to journalArticle

Abstract

People prefer to lie using altered truthful events from memory, perhaps because doing so can increase their credibility while reducing cognitive and working memory (WM) load. One possible way to counter such deceptive behavior is to track WM usage, since fabricating coherent lies or managing between truth and lies is likely to involve heavy WM load. In this study, participants memorized a list of words in the study session and used these old words to provide deceptive answers when cued later, in the testing session. Our behavioral results showed that people needed more time to make a deceptive response during the execution stage, and this prolonged deceptive reaction time (RT) was negatively correlated with each participant’s WM capacity. Event-related potential findings showed a more negative-going frontal amplitude between the lie and truth conditions during the preparation stage, suggesting that WM preparatory processes can be detected long before a deceptive response is verbalized. Furthermore, we observed a larger positive frontal-central amplitude during the execution stage, which was negatively correlated with participants’ lie–truth RT differences, suggesting that participants’ efficiency in producing deceptive responses can be readily traced electrophysiologically. Together, these findings suggest that WM capacity and preparation are crucial to efficient lying and that their related electrophysiological signatures can potentially be used to uncover deceptive behaviors.

Original languageEnglish
Pages (from-to)1089-1104
Number of pages16
JournalCognitive, Affective and Behavioral Neuroscience
Volume18
Issue number6
DOIs
Publication statusPublished - Dec 15 2018

Keywords

  • Concealed information test
  • Guilty knowledge test
  • Short-term memory capacity
  • Working memory capacity

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Behavioral Neuroscience

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