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Neural oscillations during predictive sentence processing in young children.
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- Author(s): Benítez-Barrera CR;Benítez-Barrera CR;Benítez-Barrera CR; Behboudi MH; Behboudi MH; Behboudi MH; Maguire MJ; Maguire MJ; Maguire MJ
- Source:
Brain and language [Brain Lang] 2024 Jul; Vol. 254, pp. 105437. Date of Electronic Publication: 2024 Jun 14.- Publication Type:
Journal Article- Language:
English - Source:
- Additional Information
- Source: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 7506220 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1090-2155 (Electronic) Linking ISSN: 0093934X NLM ISO Abbreviation: Brain Lang Subsets: MEDLINE
- Publication Information: Publication: <2000- > : Amsterdam : Elsevier
Original Publication: New York, Academic Press. - Subject Terms:
- Abstract: The neural correlates of predictive processing in language, critical for efficient sentence comprehension, is well documented in adults. Specifically, adults exhibit alpha power (9-12 Hz) suppression when processing high versus low predictability sentences. This study explores whether young children exhibit similar neural mechanisms. We analyzed EEG data from 29 children aged 3-5 years listening to sentences of varying predictability. Our results revealed significant neural oscillation differences in the 5-12 Hz range between high and low predictability sentences, similar to adult patterns. Crucially, the degree of these differences correlated with children's language abilities. These findings are the first to demonstrate the neural basis of predictive processing in young children and its association with language development.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Inc. All rights reserved.) - Publication Date: Date Created: 20240615 Date Completed: 20240713 Latest Revision: 20240713
- Publication Date: 20240714
- Accession Number: 10.1016/j.bandl.2024.105437
- Accession Number: 38878494
- Source:
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