To make a long story short: A descriptive study of formulaic language use in post-stroke fluent aphasia.

Language sample analysis is a common tool for inventorying an individual's linguistic strengths and weaknesses. Although most research has focused on quantifying propositional or novel language production, studies suggest that individuals with aphasia, specifically nonfluent aphasia, produce high pe...

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Publicado en:Aphasiology Vol. 38; no. 7; pp. 1180 - 1195
Autores principales: Torrington Eaton, Catherine, Thomas, Sarah
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jul2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2024
      vid: 38
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      pub: Taylor & Francis Ltd
      place: Philadelphia, Pennsylvania
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        10.1080/02687038.2023.2265101
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        atl: To make a long story short: A descriptive study of formulaic language use in post-stroke fluent aphasia.
      aug:
        au:
          Torrington Eaton, Catherine
          Thomas, Sarah
        affil: University of Texas Health Sciences Center at San Antonio, Texas, USA
      sug:
        subj:
          Stroke Complications
          Aphasia, Wernicke Risk Factors
          Facial Expression
          Task Performance and Analysis
          Reading
          Verbal Behavior
          Human
          Figurative Language
          Descriptive Research
          Retrospective Design
          Descriptive Statistics
          Pearson's Correlation Coefficient
          Linguistics
          Speech Rate
          Communication
      ab: Language sample analysis is a common tool for inventorying an individual's linguistic strengths and weaknesses. Although most research has focused on quantifying propositional or novel language production, studies suggest that individuals with aphasia, specifically nonfluent aphasia, produce high percentages of formulaic language relative to healthy controls. To date, little is known about how individuals with fluent aphasia subtypes use formulaic language and how the elicitation task influences their production. The purpose of this research was to comprehensively describe patterns of formulaic language use in various discourse tasks in language samples of individuals with fluent aphasia. The retrospective analysis included discourse samples from Aphasiabank from 142 individuals with anomic, conduction, and Wernicke's aphasia across four monologic discourse tasks. After identifying and classifying formulaic items into nine types, percentages of formulaic language were calculated for each participant and discourse task. Non-parametric statistics and Pearson's correlations were used to compare production patterns and explore relationships between language severity and formulaic item types. Unique patterns of formulaic language were observed across groups including lower proportions of fillers in individuals with Wernicke's aphasia and higher proportions of yes/no variants and speech formulas in individuals with conduction aphasia. Production patterns were most influenced by discourse task in individuals with anomic aphasia. Formulaic language use did not correlate with aphasia severity as measured by aphasia quotient. Findings add to the evidence base describing formulaic language usage in individuals with post-stroke aphasia, which serves as a necessary foundation for eventual clinical application.
      pubtype: Academic Journal
      doctype:
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      ougenre: Article
    language: English
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