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Understanding the effects of constraint and predictability in ERP

  • 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 butIntuitively, 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.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Kate StoneORCiDGND, Bruno NicenboimORCiDGND, Shravan VasishthORCiDGND, Frank RöslerGND
DOI:https://doi.org/10.1162/nol_a_00094
ISSN:2641-4368
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/37229506
Titel des übergeordneten Werks (Englisch):Neurobiology of language
Verlag:MIT Press
Verlagsort:Cambridge, MA, USA
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Erstveröffentlichung:12.12.2022
Erscheinungsjahr:2023
Datum der Freischaltung:12.04.2023
Freies Schlagwort / Tag:entropy
N400; anterior PNP; constraint; posterior P600; predictability; probabilistic processing
Band:4
Ausgabe:2
Seitenanzahl:36
Erste Seite:221
Letzte Seite:256
Fördernde Institution:Universität Potsdam
Fördernde Institution:Deutsche Forschungsgemeinschaft (DFG)
Fördernde Institution:Volkswagen Foundation
Fördernde Institution:Deutsche Forschungsgemeinschaft (DFG)
Fördernummer:PA 2022_171
Fördernummer:Projektnummer 491466077
Fördernummer:89953
Fördernummer:325493514
Organisationseinheiten:Extern / Extern
Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Linguistik
Humanwissenschaftliche Fakultät / Strukturbereich Kognitionswissenschaften / Department Psychologie
DDC-Klassifikation:4 Sprache / 40 Sprache / 400 Sprache
5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
Fördermittelquelle:Publikationsfonds der Universität Potsdam
Publikationsweg:Open Access / Gold Open-Access
DOAJ gelistet
Lizenz (Deutsch):License LogoCC-BY - Namensnennung 4.0 International
Externe Anmerkung:Zweitveröffentlichung in der Schriftenreihe Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe ; 829
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