Journal article
Lexical prediction in the aging brain: The effects of predictiveness and congruency on the N400 ERP component
Aging, Neuropsychology, and Cognition, Vol.26(5), pp.781-806
09/03/2019
DOI: 10.1080/13825585.2018.1529733
PMID: 30293520
Abstract
Although the N400 ERP component has been extensively studied in younger adults, the underlying mechanisms are still unclear. In older adults, N400 ERP studies have shown less efficient use of context compared to younger adults. Here, we asked whether the mechanisms underlying the N400 effect are the same in terms of predictiveness and congruency in younger and older adults. We used a simple picture-word matching task in which we crossed predictiveness and congruency. Our results indicate a three-way interaction between predictiveness, congruency, and age, in that, younger adults showed an N400 effect only in strongly constrained conditions; whereas, older adults showed an effect in both strongly- and weakly constrained conditions. This interaction was not modulated by language experience or cognitive decline. Our results support either two separate mechanisms (lexical access and integration) that run in parallel and are modulated by age or a common prediction error mechanism that changes with age.
Details
- Title: Subtitle
- Lexical prediction in the aging brain: The effects of predictiveness and congruency on the N400 ERP component
- Creators
- Spyridoula Cheimariou - Department of Communicative Disorders, University of AlabamaThomas A Farmer - Department of Psychology and Center for Mind and Brain, University of CaliforniaJean K Gordon - Department of Communication Sciences & Disorders, University of Iowa
- Resource Type
- Journal article
- Publication Details
- Aging, Neuropsychology, and Cognition, Vol.26(5), pp.781-806
- Publisher
- Routledge
- DOI
- 10.1080/13825585.2018.1529733
- PMID
- 30293520
- ISSN
- 1382-5585
- eISSN
- 1744-4128
- Language
- English
- Date published
- 09/03/2019
- Academic Unit
- Communication Sciences and Disorders; Linguistics
- Record Identifier
- 9984002462502771
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