The late frontal positivity reflects incremental mental model updating: Graded predictability effects during
Weiqi Wang1, Lin Chen2, Charles Perfetti1
1Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA.
Abstract:
High word predictability facilitates the access and integration of word meaning, indicated by a reduced N400 effect. However, whether word predictability affects later phases of reading comprehension (mental model updating), as assessed by a late positivity, remains unsettled. Some studies suggest that unexpected but plausible words increase positivity in frontal regions, while others do not. To gain clarity on this issue, we used two-sentence passages from The New York Times articles that do not contain implausible words. Using a language model with a transformer architecture, we assessed the predictability (surprisal) of each word in these texts on a continuous scale. Linear mixed-effects modeling of the EEG dataset (Chen et al., 2025) showed that higher word predictability reduced N400 in central-parietal regions, whereas lower predictability increased late positivity in frontal regions. These findings suggest that word predictability has a graded effect on late frontal positivity, reflecting mental model updating.
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