Optimising verbal fluency analysis in neurological patients with dysarthria: examples from Parkinson's disease and hereditary ataxia.


Journal

Journal of clinical and experimental neuropsychology
ISSN: 1744-411X
Titre abrégé: J Clin Exp Neuropsychol
Pays: England
ID NLM: 8502170

Informations de publication

Date de publication:
Aug 2023
Historique:
medline: 10 11 2023
pubmed: 1 9 2023
entrez: 1 9 2023
Statut: ppublish

Résumé

Verbal fluency tests (VFTs) are widely used to assess cognitive-linguistic performance in neurological diseases. However, the influence of dysarthria on performance in tests requiring oral responses is unclear in ataxia and Parkinson's disease. To determine the impact of dysarthria on VFT performance and evaluate the validity and reliability of alternative methods for analyzing VFT data. Trained raters evaluated dysarthria using VFT recordings in people with ataxia (N = 61) or Parkinson's disease (PD; N = 69). Total Correct Items scores and qualitative parameters (intrusions, ambiguous verbalizations, perseverations, and interjections) were compared across semantic, phonemic, and alternating fluency tasks. Disease severity was considered as a covariate in the regression model. VFT dysarthria ratings correlated with the benchmark (ground truth) dysarthria scores derived from a monologue. Ambiguous responses resulting from unclear speech impeded the rater's ability to determine if a response was correct. Regression analysis indicated that more severe dysarthria ratings predicted diminished scores in all three tasks (semantic fluency, phonemic fluency and alternating fluency) in the ataxia group. The contribution of disease severity to semantic, phonemic and alternating fluency was reduced substantially in the ataxia group after accounting for dysarthria severity in the model in both groups. Dysarthria severity can be estimated based on speech samples derived from VFT. Dysarthria can lead to lower total correct items and is associated with more ambiguous verbalizations in VFT. Dysarthria severity should be considered when interpreting VFT performance in common movement disorders.

Sections du résumé

BACKGROUND UNASSIGNED
Verbal fluency tests (VFTs) are widely used to assess cognitive-linguistic performance in neurological diseases. However, the influence of dysarthria on performance in tests requiring oral responses is unclear in ataxia and Parkinson's disease.
OBJECTIVES UNASSIGNED
To determine the impact of dysarthria on VFT performance and evaluate the validity and reliability of alternative methods for analyzing VFT data.
METHOD UNASSIGNED
Trained raters evaluated dysarthria using VFT recordings in people with ataxia (N = 61) or Parkinson's disease (PD; N = 69). Total Correct Items scores and qualitative parameters (intrusions, ambiguous verbalizations, perseverations, and interjections) were compared across semantic, phonemic, and alternating fluency tasks. Disease severity was considered as a covariate in the regression model.
RESULTS UNASSIGNED
VFT dysarthria ratings correlated with the benchmark (ground truth) dysarthria scores derived from a monologue. Ambiguous responses resulting from unclear speech impeded the rater's ability to determine if a response was correct. Regression analysis indicated that more severe dysarthria ratings predicted diminished scores in all three tasks (semantic fluency, phonemic fluency and alternating fluency) in the ataxia group. The contribution of disease severity to semantic, phonemic and alternating fluency was reduced substantially in the ataxia group after accounting for dysarthria severity in the model in both groups.
CONCLUSIONS UNASSIGNED
Dysarthria severity can be estimated based on speech samples derived from VFT. Dysarthria can lead to lower total correct items and is associated with more ambiguous verbalizations in VFT. Dysarthria severity should be considered when interpreting VFT performance in common movement disorders.

Identifiants

pubmed: 37656122
doi: 10.1080/13803395.2023.2249172
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

452-463

Auteurs

Yanjun Li (Y)

Centre for Neuroscience of Speech, The University of Melbourne, Melbourne, Victoria, Australia.
Redenlab, Melbourne, Victoria, Australia.

Jihyun Yang (J)

UQ Centre for Clinical Research, Faculty of Medicine, the University of Queensland, Herston QLD, Australia.

Kristine Evans (K)

Centre for Neuroscience of Speech, The University of Melbourne, Melbourne, Victoria, Australia.

Nadeeka N Dissanayaka (NN)

UQ Centre for Clinical Research, Faculty of Medicine, the University of Queensland, Herston QLD, Australia.
Department of Neurology, Royal Brisbane & Women's Hospital, Herston QLD, Australia.
School of Psychology, The University of Queensland, St Lucia, QLD, Australia.

Adam P Vogel (AP)

Centre for Neuroscience of Speech, The University of Melbourne, Melbourne, Victoria, Australia.
Redenlab, Melbourne, Victoria, Australia.
Department of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany & Center for Neurology, University Hospital Tübingen, Germany.

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Classifications MeSH