Optimising verbal fluency analysis in neurological patients with dysarthria: examples from Parkinson's disease and hereditary ataxia.
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| Title: | Optimising verbal fluency analysis in neurological patients with dysarthria: examples from Parkinson's disease and hereditary ataxia. |
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| Authors: | Yanjun Li, Jihyun Yang, Evans, Kristine, Bow-Wah Wong, Jasmine, Dissanayaka, Nadeeka N., Vogel, Adam P. |
| Source: | Journal of Clinical & Experimental Neuropsychology. Aug2023, Vol. 45 Issue 5, p452-463. 12p. |
| Subjects: | Friedreich's ataxia, Parkinson's disease, Genetic disorders, Dysarthria, Verbal behavior testing |
| Abstract: | Background: 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: To determine the impact of dysarthria on VFT performance and evaluate the validity and reliability of alternative methods for analyzing VFT data. Method: 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: 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: 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. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Clinical & Experimental Neuropsychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 174210822 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimising verbal fluency analysis in neurological patients with dysarthria: examples from Parkinson's disease and hereditary ataxia. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yanjun+Li%22">Yanjun Li</searchLink><br /><searchLink fieldCode="AR" term="%22Jihyun+Yang%22">Jihyun Yang</searchLink><br /><searchLink fieldCode="AR" term="%22Evans%2C+Kristine%22">Evans, Kristine</searchLink><br /><searchLink fieldCode="AR" term="%22Bow-Wah+Wong%2C+Jasmine%22">Bow-Wah Wong, Jasmine</searchLink><br /><searchLink fieldCode="AR" term="%22Dissanayaka%2C+Nadeeka+N%2E%22">Dissanayaka, Nadeeka N.</searchLink><br /><searchLink fieldCode="AR" term="%22Vogel%2C+Adam+P%2E%22">Vogel, Adam P.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+%26+Experimental+Neuropsychology%22">Journal of Clinical & Experimental Neuropsychology</searchLink>. Aug2023, Vol. 45 Issue 5, p452-463. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Friedreich's+ataxia%22">Friedreich's ataxia</searchLink><br /><searchLink fieldCode="DE" term="%22Parkinson's+disease%22">Parkinson's disease</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+disorders%22">Genetic disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Dysarthria%22">Dysarthria</searchLink><br /><searchLink fieldCode="DE" term="%22Verbal+behavior+testing%22">Verbal behavior testing</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background: 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: To determine the impact of dysarthria on VFT performance and evaluate the validity and reliability of alternative methods for analyzing VFT data. Method: 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: 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: 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. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Clinical & Experimental Neuropsychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/13803395.2023.2249172 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 452 Subjects: – SubjectFull: Friedreich's ataxia Type: general – SubjectFull: Parkinson's disease Type: general – SubjectFull: Genetic disorders Type: general – SubjectFull: Dysarthria Type: general – SubjectFull: Verbal behavior testing Type: general Titles: – TitleFull: Optimising verbal fluency analysis in neurological patients with dysarthria: examples from Parkinson's disease and hereditary ataxia. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yanjun Li – PersonEntity: Name: NameFull: Jihyun Yang – PersonEntity: Name: NameFull: Evans, Kristine – PersonEntity: Name: NameFull: Bow-Wah Wong, Jasmine – PersonEntity: Name: NameFull: Dissanayaka, Nadeeka N. – PersonEntity: Name: NameFull: Vogel, Adam P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13803395 Numbering: – Type: volume Value: 45 – Type: issue Value: 5 Titles: – TitleFull: Journal of Clinical & Experimental Neuropsychology Type: main |
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