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Understanding the Effects of Constraint and Predictability in ERP

Stone, Kate; Nicenboim, Bruno; Vasishth, Shravan; Rösler, Frank

Authors

Bruno Nicenboim

Shravan Vasishth

Frank Rösler



Abstract

Intuitively, strongly constraining contexts should lead to stronger probabilistic representations of sentences in memory. Encountering unexpected words could therefore be expected to trigger costlier shifts in these representations than expected words. However, psycholinguistic measures commonly used to study probabilistic processing, such as the N400 event-related potential (ERP) component, are sensitive to word predictability but not to contextual constraint. Some research suggests that constraint-related processing cost may be measurable via an ERP positivity following the N400, known as the anterior post-N400 positivity (PNP). The PNP is argued to reflect update of a sentence representation and to be distinct from the posterior P600, which reflects conflict detection and reanalysis. However, constraint-related PNP findings are inconsistent. We sought to conceptually replicate Federmeier et al. (2007) and Kuperberg et al. (2020), who observed that the PNP, but not the N400 or the P600, was affected by constraint at unexpected but plausible words. Using a pre-registered design and statistical approach maximising power, we demonstrated a dissociated effect of predictability and constraint: strong evidence for predictability but not constraint in the N400 window, and strong evidence for constraint but not predictability in the later window. However, the constraint effect was consistent with a P600 and not a PNP, suggesting increased conflict between a strong representation and unexpected input rather than greater update of the representation. We conclude that either a simple strong/weak constraint design is not always sufficient to elicit the PNP, or that previous PNP constraint findings could be an artifact of smaller sample size.

Citation

Stone, K., Nicenboim, B., Vasishth, S., & Rösler, F. (2023). Understanding the Effects of Constraint and Predictability in ERP. Neurobiology of Language, 4(2), 221-256. https://doi.org/10.1162/nol_a_00094

Journal Article Type Article
Acceptance Date Dec 5, 2022
Online Publication Date Apr 11, 2023
Publication Date Apr 11, 2023
Deposit Date Feb 24, 2025
Publicly Available Date Feb 24, 2025
Journal Neurobiology of Language
Electronic ISSN 2641-4368
Publisher Massachusetts Institute of Technology Press
Peer Reviewed Peer Reviewed
Volume 4
Issue 2
Pages 221-256
DOI https://doi.org/10.1162/nol_a_00094
Keywords N400; Anterior PNP; posterior P600; Probabilistic processing; Constraint; Predictability; Entropy
Public URL https://hull-repository.worktribe.com/output/5044263

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http://creativecommons.org/licenses/by/4.0

Copyright Statement
© 2023 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.





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