The electrophysiological correlates of word pre-activation during associative word learning

Int J Psychophysiol. 2022 Dec:182:12-22. doi: 10.1016/j.ijpsycho.2022.09.007. Epub 2022 Sep 24.

Abstract

Human beings continuously make use of learned associations to generate predictions about future occurrences in the environment. Such memory-related predictive processes provide a scaffold for learning in that mental representations of foreseeable events can be adjusted or strengthened based on a specific outcome. Learning the meaning of novel words through picture-word associations constitutes a prime example of associative learning because pictures preceding words can trigger word prediction through the pre-activation of the related mnemonic representations. In the present electroencephalography (EEG) study, we used event-related potentials (ERPs) to compare neural indices of word pre-activation between a word learning condition with maximal prediction likelihood and a non-learning control condition with low prediction. Results revealed that prediction-related N400 amplitudes in response to pictures decreased over time at central electrodes as a function of word learning, whereas late positive component (LPC) amplitudes increased. Notably, N400 but not LPC changes were also predictive of word learning performance, suggesting that the N400 component constitutes a sensitive marker of word pre-activation during associative word learning.

Keywords: EEG; LPC; N200; N400; Pre-activation; Word learning.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electroencephalography*
  • Evoked Potentials* / physiology
  • Female
  • Humans
  • Male
  • Reaction Time / physiology
  • Semantics
  • Verbal Learning / physiology