Speech biomarkers in Huntington's disease: A cross‐sectional study in pre‐symptomatic, prodromal and early manifest stages.
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| Title: | Speech biomarkers in Huntington's disease: A cross‐sectional study in pre‐symptomatic, prodromal and early manifest stages. |
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| Authors: | Kouba, Tomas (AUTHOR), Frank, Wiebke (AUTHOR), Tykalova, Tereza (AUTHOR), Mühlbäck, Alzbeta (AUTHOR), Klempíř, Jiří (AUTHOR), Lindenberg, Katrin S. (AUTHOR), Landwehrmeyer, G. Bernhard (AUTHOR), Rusz, Jan (AUTHOR) |
| Source: | European Journal of Neurology. May2023, Vol. 30 Issue 5, p1262-1271. 10p. |
| Subjects: | Huntington disease, Speech, Cross-sectional method, Biomarkers |
| Abstract: | Background and purpose: Motor speech alterations are a prominent feature of clinically manifest Huntington's disease (HD). Objective acoustic analysis of speech can quantify speech alterations. It is currently unknown, however, at what stage of HD speech alterations can be reliably detected. We aimed to explore the patterns and extent of speech alterations using objective acoustic analysis in HD and to assess correlations with both rater‐assessed phenotypical features and biological determinants of HD. Methods: Speech samples were acquired from 44 premanifest (29 pre‐symptomatic and 15 prodromal) and 25 manifest HD gene expansion carriers, and 25 matched healthy controls. A quantitative automated acoustic analysis of 10 speech dimensions was performed. Results: Automated speech analysis allowed us to differentiate between participants with HD and controls, with areas under the curve of 0.74 for pre‐symptomatic, 0.92 for prodromal, and 0.97 for manifest stages. In addition to irregular alternating motion rates and prolonged pauses seen only in manifest HD, both prodromal and manifest HD displayed slowed articulation rate, slowed alternating motion rates, increased loudness variability, and unstable steady‐state position of articulators. In participants with premanifest HD, speech alteration severity was associated with cognitive slowing (r = −0.52, p < 0.001) and the extent of bradykinesia (r = 0.43, p = 0.004). Speech alterations correlated with a measure of exposure to mutant gene products (CAG‐age‐product score; r = 0.60, p < 0.001). Conclusion: Speech abnormalities in HD are associated with other motor and cognitive deficits and are measurable already in premanifest stages of HD. Therefore, automated speech analysis might represent a quantitative HD biomarker with potential for assessing disease progression. [ABSTRACT FROM AUTHOR] |
| Copyright of European Journal of Neurology is the property of Wiley-Blackwell 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 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 162916609 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Speech biomarkers in Huntington's disease: A cross‐sectional study in pre‐symptomatic, prodromal and early manifest stages. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kouba%2C+Tomas%22">Kouba, Tomas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Frank%2C+Wiebke%22">Frank, Wiebke</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tykalova%2C+Tereza%22">Tykalova, Tereza</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mühlbäck%2C+Alzbeta%22">Mühlbäck, Alzbeta</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Klempíř%2C+Jiří%22">Klempíř, Jiří</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lindenberg%2C+Katrin+S%2E%22">Lindenberg, Katrin S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Landwehrmeyer%2C+G%2E+Bernhard%22">Landwehrmeyer, G. Bernhard</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rusz%2C+Jan%22">Rusz, Jan</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neurology%22">European Journal of Neurology</searchLink>. May2023, Vol. 30 Issue 5, p1262-1271. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Huntington+disease%22">Huntington disease</searchLink><br /><searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Biomarkers%22">Biomarkers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Background and purpose: Motor speech alterations are a prominent feature of clinically manifest Huntington's disease (HD). Objective acoustic analysis of speech can quantify speech alterations. It is currently unknown, however, at what stage of HD speech alterations can be reliably detected. We aimed to explore the patterns and extent of speech alterations using objective acoustic analysis in HD and to assess correlations with both rater‐assessed phenotypical features and biological determinants of HD. Methods: Speech samples were acquired from 44 premanifest (29 pre‐symptomatic and 15 prodromal) and 25 manifest HD gene expansion carriers, and 25 matched healthy controls. A quantitative automated acoustic analysis of 10 speech dimensions was performed. Results: Automated speech analysis allowed us to differentiate between participants with HD and controls, with areas under the curve of 0.74 for pre‐symptomatic, 0.92 for prodromal, and 0.97 for manifest stages. In addition to irregular alternating motion rates and prolonged pauses seen only in manifest HD, both prodromal and manifest HD displayed slowed articulation rate, slowed alternating motion rates, increased loudness variability, and unstable steady‐state position of articulators. In participants with premanifest HD, speech alteration severity was associated with cognitive slowing (r = −0.52, p < 0.001) and the extent of bradykinesia (r = 0.43, p = 0.004). Speech alterations correlated with a measure of exposure to mutant gene products (CAG‐age‐product score; r = 0.60, p < 0.001). Conclusion: Speech abnormalities in HD are associated with other motor and cognitive deficits and are measurable already in premanifest stages of HD. Therefore, automated speech analysis might represent a quantitative HD biomarker with potential for assessing disease progression. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Journal of Neurology is the property of Wiley-Blackwell 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: 10.1111/ene.15726 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 1262 Subjects: – SubjectFull: Huntington disease Type: general – SubjectFull: Speech Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Biomarkers Type: general Titles: – TitleFull: Speech biomarkers in Huntington's disease: A cross‐sectional study in pre‐symptomatic, prodromal and early manifest stages. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kouba, Tomas – PersonEntity: Name: NameFull: Frank, Wiebke – PersonEntity: Name: NameFull: Tykalova, Tereza – PersonEntity: Name: NameFull: Mühlbäck, Alzbeta – PersonEntity: Name: NameFull: Klempíř, Jiří – PersonEntity: Name: NameFull: Lindenberg, Katrin S. – PersonEntity: Name: NameFull: Landwehrmeyer, G. Bernhard – PersonEntity: Name: NameFull: Rusz, Jan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13515101 Numbering: – Type: volume Value: 30 – Type: issue Value: 5 Titles: – TitleFull: European Journal of Neurology Type: main |
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