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      Setting a Baseline for Normal Cognitive Aging with Lexical Concreteness – A Corpus Linguistic Approach

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      1 ,
      Alzheimer's & Dementia
      John Wiley and Sons Inc.

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          Abstract

          Background

          Identifying language variation in healthy aging speakers is important for understanding normal cognitive aging. Setting a baseline of normal aging languages in the first place is necessary for the evaluation of language performances of old adults. Lexical concreteness, a well‐studied psycholinguistic parameter, has been used to detect semantic memory‐related deficits. For example, people with semantic dementia were found to display reduced lexical concreteness (Breedin et al., 1994). Healthy old adults, however, are less studied in terms of the concreteness pattern in their speech. This study examines lexical concreteness of free speech samples of normal aging speakers age between 60 – 80 in Singapore.

          Method

          We collected about 15‐min free speech from 243 English‐speaking, cognitively healthy Singaporeans (133 women, 110 men) age above 60 years old. Demographic variables (age, gender, education, and number of languages spoken) were uncorrelated with each other. Speeches were transcribed by native Singapore English speakers and tagged with part‐of‐speech (PoS) information. We calculated global lexical features including speech rate (in minutes), lexical diversity (Moving‐Average Type‐Token Ratio), and PoS distribution (count per 100 tokens). Then we calculated concreteness (Brysbaert et al., 2014) of major content words for every individual. The relation between age and lexical measures was examined with Spearman’s correlation test.

          Result

          Results of the statistical analysis show that healthy old adults speak slower (𝜌= ‐0.14, p= .03) with more concrete nouns (𝜌= 0.14, p= .03) and adjectives (𝜌= 0.18, p< .05) than younger speakers. PoS distribution and verb concreteness (all p> .05) remain stable in the aging process.

          Conclusion

          Our speech sample revealed a general trend of elderly speech – reduced speech rates and increased lexical concreteness. The significant positive association between age and lexical concreteness in free speeches of health old adults was found for the first time, providing corroborative evidence for the link between concreteness and semantic memory. We also found a dissociation between nouns and verbs, consistent with neuropsychological literatures that nouns and verbs are encoded in different areas of the brain (Vigliocco et al., 2011). In sum, measuring lexical concreteness in natural speech data can provide circumstantial evidence for evaluating cognitive aging.

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          Author and article information

          Contributors
          kunmei.han@u.nus.edu
          Journal
          Alzheimers Dement
          Alzheimers Dement
          10.1002/(ISSN)1552-5279
          ALZ
          Alzheimer's & Dementia
          John Wiley and Sons Inc. (Hoboken )
          1552-5260
          1552-5279
          09 January 2025
          December 2024
          : 20
          : Suppl 2 ( doiID: 10.1002/alz.v20.S2 )
          : e088135
          Affiliations
          [ 1 ] National University of Singapore, Singapore Singapore
          Author notes
          [*] [* ] Correspondence

          Kunmei Han, National University of Singapore, Singapore, Singapore.

          Email: kunmei.han@ 123456u.nus.edu

          Article
          ALZ088135
          10.1002/alz.088135
          11715763
          f64c745d-6efd-432e-a869-58abd0bd533a
          © 2024 The Alzheimer's Association. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.

          This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

          History
          Page count
          Figures: 1, Tables: 0, Pages: 2, Words: 460
          Categories
          Biomarkers
          Biomarkers
          Poster Presentation
          Biomarkers (Non‐neuroimaging)
          Custom metadata
          2.0
          December 2024
          Converter:WILEY_ML3GV2_TO_JATSPMC version:6.5.2 mode:remove_FC converted:09.01.2025

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