File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Statistical learning of orthography-semantics regularities: A developmental neurophysiological study

TitleStatistical learning of orthography-semantics regularities: A developmental neurophysiological study
Authors
KeywordsDevelopmental variance
N170-P300-N400 pattern
Orthography-semantics connections
Statistical learning
Issue Date1-Aug-2025
PublisherElsevier
Citation
Developmental Cognitive Neuroscience, 2025, v. 74 How to Cite?
Abstract

Combining event-related potential (ERP) with an artificial orthography learning paradigm, this study examined how 7–11-year-old Chinese children from first to fifth grade implicitly acquired orthography-semantics regularities of artificial characters. We manipulated the semantic consistency levels of radicals embedded in artificial characters at high (100 %), moderate (80 %), and low (60 %). The behavioral results indicated that 8-year-olds in the second grade were able to acquire regularities of semantic radicals within a sequence of artificial characters. The ERP results revealed a N170-P300-N400 pattern. The N170 component in the occipitotemporal area indicated orthographic identification during the early stages of learning, while the P300 and N400 components reflected attentional allocation and semantic activation during the later stages of statistical learning of orthography-semantics connections. The interactions between neural activation of statistical learning and grade suggest a significant developmental change in 7-11-year-old children. These findings support the multi-component model of statistical learning and the age-related hypothesis.


Persistent Identifierhttp://hdl.handle.net/10722/358895
ISSN
2023 Impact Factor: 4.6
2023 SCImago Journal Rankings: 1.804

 

DC FieldValueLanguage
dc.contributor.authorDuan, Rujun-
dc.contributor.authorZhao, Wenyuan-
dc.contributor.authorTong, Shelley Xiuli-
dc.contributor.authorTong, Xiuhong-
dc.date.accessioned2025-08-13T07:48:40Z-
dc.date.available2025-08-13T07:48:40Z-
dc.date.issued2025-08-01-
dc.identifier.citationDevelopmental Cognitive Neuroscience, 2025, v. 74-
dc.identifier.issn1878-9293-
dc.identifier.urihttp://hdl.handle.net/10722/358895-
dc.description.abstract<p>Combining event-related potential (ERP) with an artificial orthography learning paradigm, this study examined how 7–11-year-old Chinese children from first to fifth grade implicitly acquired orthography-semantics regularities of artificial characters. We manipulated the semantic consistency levels of radicals embedded in artificial characters at high (100 %), moderate (80 %), and low (60 %). The behavioral results indicated that 8-year-olds in the second grade were able to acquire regularities of semantic radicals within a sequence of artificial characters. The ERP results revealed a N170-P300-N400 pattern. The N170 component in the occipitotemporal area indicated orthographic identification during the early stages of learning, while the P300 and N400 components reflected attentional allocation and semantic activation during the later stages of statistical learning of orthography-semantics connections. The interactions between neural activation of statistical learning and grade suggest a significant developmental change in 7-11-year-old children. These findings support the multi-component model of statistical learning and the age-related hypothesis.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofDevelopmental Cognitive Neuroscience-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectDevelopmental variance-
dc.subjectN170-P300-N400 pattern-
dc.subjectOrthography-semantics connections-
dc.subjectStatistical learning-
dc.titleStatistical learning of orthography-semantics regularities: A developmental neurophysiological study -
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1016/j.dcn.2025.101576-
dc.identifier.scopuseid_2-s2.0-105007062173-
dc.identifier.volume74-
dc.identifier.eissn1878-9307-
dc.identifier.issnl1878-9293-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats