Universal and Language-Specific Connected Speech Characteristics of Bilingual Speakers With Alzheimer’s Disease: Insights From Case Studies of Structurally Distinct Languages.
Purpose: Connected speech analysis has been effectively utilized for the diagnosis and disease monitoring of individuals with Alzheimer’s disease (AD). Existing research has been conducted mostly in monolingual English speakers with a noticeable lack of evidence from bilinguals and non-English speak...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 4; pp. 1143 - 1165 |
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| Autores principales: | , , , , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Apr2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=176515406&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 176515406 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Apr2024 vid: 67 iid: 4 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 176515406 10.1044/2024_JSLHR-23-00254 ppf: 1143 ppct: 22 formats: fmt: @attributes: type: P size: 1.3MB tig: atl: Universal and Language-Specific Connected Speech Characteristics of Bilingual Speakers With Alzheimer’s Disease: Insights From Case Studies of Structurally Distinct Languages. aug: au: Dutta, Manaswita Mello, Tina M. D. Yesi Cheng Dash, Niladri Sekhar Nandi, Ranita Dutt, Aparna Bose, Arpita affil: Department of Speech & Hearing Sciences, Portland State University, OR. School of Psychology and Clinical Language Sciences, University of Reading, UK. Linguistic Research Unit, Indian Statistical Institute, Kolkata, India. Neuropsychology & Clinical Psychology Unit, Duttanagar Mental Health Center, Kolkata, India. su: Public health surveillance Language & languages Quantitative research Multilingualism Storytelling Language disorders Alzheimer's disease Research funding Bengali (South Asian people) Descriptive statistics Physiological aspects of speech Latent semantic analysis Neuropsychological tests Cognition disorders Speech perception English language Case studies sug: subj: Public health surveillance Language & languages Quantitative research Multilingualism Storytelling Language disorders Alzheimer's disease Research funding Bengali (South Asian people) Descriptive statistics Physiological aspects of speech Latent semantic analysis Neuropsychological tests Cognition disorders Speech perception English language Case studies ab: Purpose: Connected speech analysis has been effectively utilized for the diagnosis and disease monitoring of individuals with Alzheimer’s disease (AD). Existing research has been conducted mostly in monolingual English speakers with a noticeable lack of evidence from bilinguals and non-English speakers, particularly in non-European languages. Using a case study approach, we characterized connected speech profiles of two Bengali–English bilingual speakers with AD to determine the universal features of language impairments in both languages, identify language-specific differences between the languages, and explore language impairment characteristics of the participants with AD in relation to their bilingual language experience. Method: Participants included two Bengali–English bilingual speakers with AD and a group of age-, gender-, education-, and language-matched neurologically healthy controls. Connected speech samples were collected in first language (L1; Bengali) and second language (L2; English) using a novel storytelling task (i.e., Frog, Where Are You?). These samples were analyzed using an augmented quantitative production analysis and correct information unit analyses for productivity, fluency, syntactic and morphosyntactic features, and lexical and semantic characteristics. Results: Irrespective of the language, AD impacted speech productivity (speech rate and fluency) and semantic characteristics in both languages. Unique language-specific differences were noted on syntactic measures (reduced sentence length in Bengali), lexical distribution (fewer pronouns and absence of reduplication in Bengali), and inflectional properties (no difficulties with noun or verb inflections in Bengali). Among the two participants with AD, the individual who showed lower proficiency and usage in L2 (English) demonstrated reduced syntactic complexity and morphosyntactic richness in English. Conclusions: Evidence from these case studies suggests that language impairment features in AD are not universal across languages, particularly in comparison to impairments typically associated with language breakdowns in English. This study underscores the importance of establishing connected speech profiles in AD for non–English-speaking populations, especially for structurally different languages. This would in turn lead to the development of language-specific markers that can facilitate early detection of language deterioration and aid in improving diagnosis of AD in individuals belonging to underserved linguistically diverse populations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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