Connected Speech Fluency in Poststroke and Progressive Aphasia: A Scoping Review of Quantitative Approaches and Features.
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| Title: | Connected Speech Fluency in Poststroke and Progressive Aphasia: A Scoping Review of Quantitative Approaches and Features. |
|---|---|
| Authors: | Cordella, Claire1 cordella@bu.edu, Di Filippo, Lauren1, Kolachalama, Vijaya B.2,3, Kiran, Swathi1 |
| Source: | American Journal of Speech-Language Pathology. Jul2024, Vol. 33 Issue 4, p2083-2120. 38p. |
| Subject Terms: | *Comparative grammar, *Aphasia, *Speech evaluation, Medical information storage & retrieval systems, Speech, Research funding, CINAHL database, Systematic reviews, MEDLINE, Stroke, Online information services, Psychology information storage & retrieval systems |
| Abstract: | Purpose: Speech fluency has important diagnostic implications for individuals with poststroke aphasia (PSA) as well as primary progressive aphasia (PPA), and quantitative assessment of connected speech has emerged as a widely used approach across both etiologies. The purpose of this review was to provide a clearer picture on the range, nature, and utility of individual quantitative speech/language measures and methods used to assess connected speech fluency in PSA and PPA, and to compare approaches across etiologies. Method: We conducted a scoping review of literature published between 2012 and 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. Forty-five studies were included in the review. Literature was charted and summarized by etiology and characteristics of included patient populations and method(s) used for derivation and analysis of speech/language features. For a subset of included articles, we also charted the individual quantitative speech/language features reported and the level of significance of reported results. Results: Results showed that similar methodological approaches have been used to quantify connected speech fluency in both PSA and PPA. Two hundred nine individual speech-language features were analyzed in total, with low levels of convergence across etiology on specific features but greater agreement on the most salient features. The most useful features for differentiating fluent from nonfluent aphasia in both PSA and PPA were features related to overall speech quantity, speech rate, or grammatical competence. Conclusions: Data from this review demonstrate the feasibility and utility of quantitative approaches to index connected speech fluency in PSA and PPA. We identified emergent trends toward automated analysis methods and data-driven approaches, which offer promising avenues for clinical translation of quantitative approaches. There is a further need for improved consensus on which subset of individual features might be most clinically useful for assessment and monitoring of fluency. [ABSTRACT FROM AUTHOR] |
| Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association 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: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 178368924 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Connected Speech Fluency in Poststroke and Progressive Aphasia: A Scoping Review of Quantitative Approaches and Features. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cordella%2C+Claire%22">Cordella, Claire</searchLink><relatesTo>1</relatesTo><i> cordella@bu.edu</i><br /><searchLink fieldCode="AR" term="%22Di+Filippo%2C+Lauren%22">Di Filippo, Lauren</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kolachalama%2C+Vijaya+B%2E%22">Kolachalama, Vijaya B.</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kiran%2C+Swathi%22">Kiran, Swathi</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Speech-Language+Pathology%22">American Journal of Speech-Language Pathology</searchLink>. Jul2024, Vol. 33 Issue 4, p2083-2120. 38p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Comparative+grammar%22">Comparative grammar</searchLink><br />*<searchLink fieldCode="DE" term="%22Aphasia%22">Aphasia</searchLink><br />*<searchLink fieldCode="DE" term="%22Speech+evaluation%22">Speech evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Speech%22">Speech</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22CINAHL+database%22">CINAHL database</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke%22">Stroke</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+information+storage+%26+retrieval+systems%22">Psychology information storage & retrieval systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Speech fluency has important diagnostic implications for individuals with poststroke aphasia (PSA) as well as primary progressive aphasia (PPA), and quantitative assessment of connected speech has emerged as a widely used approach across both etiologies. The purpose of this review was to provide a clearer picture on the range, nature, and utility of individual quantitative speech/language measures and methods used to assess connected speech fluency in PSA and PPA, and to compare approaches across etiologies. Method: We conducted a scoping review of literature published between 2012 and 2022 following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guidelines. Forty-five studies were included in the review. Literature was charted and summarized by etiology and characteristics of included patient populations and method(s) used for derivation and analysis of speech/language features. For a subset of included articles, we also charted the individual quantitative speech/language features reported and the level of significance of reported results. Results: Results showed that similar methodological approaches have been used to quantify connected speech fluency in both PSA and PPA. Two hundred nine individual speech-language features were analyzed in total, with low levels of convergence across etiology on specific features but greater agreement on the most salient features. The most useful features for differentiating fluent from nonfluent aphasia in both PSA and PPA were features related to overall speech quantity, speech rate, or grammatical competence. Conclusions: Data from this review demonstrate the feasibility and utility of quantitative approaches to index connected speech fluency in PSA and PPA. We identified emergent trends toward automated analysis methods and data-driven approaches, which offer promising avenues for clinical translation of quantitative approaches. There is a further need for improved consensus on which subset of individual features might be most clinically useful for assessment and monitoring of fluency. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of American Journal of Speech-Language Pathology is the property of American Speech-Language-Hearing Association 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: 10.1044/2024_AJSLP-23-00208 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 38 StartPage: 2083 Subjects: – SubjectFull: Comparative grammar Type: general – SubjectFull: Aphasia Type: general – SubjectFull: Speech evaluation Type: general – SubjectFull: Medical information storage & retrieval systems Type: general – SubjectFull: Speech Type: general – SubjectFull: Research funding Type: general – SubjectFull: CINAHL database Type: general – SubjectFull: Systematic reviews Type: general – SubjectFull: MEDLINE Type: general – SubjectFull: Stroke Type: general – SubjectFull: Online information services Type: general – SubjectFull: Psychology information storage & retrieval systems Type: general Titles: – TitleFull: Connected Speech Fluency in Poststroke and Progressive Aphasia: A Scoping Review of Quantitative Approaches and Features. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cordella, Claire – PersonEntity: Name: NameFull: Di Filippo, Lauren – PersonEntity: Name: NameFull: Kolachalama, Vijaya B. – PersonEntity: Name: NameFull: Kiran, Swathi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10580360 Numbering: – Type: volume Value: 33 – Type: issue Value: 4 Titles: – TitleFull: American Journal of Speech-Language Pathology Type: main |
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