Automated Analysis of Fluency Behaviors in Aphasia.
Purpose: This study explored the use of an automated language analysis tool, FLUCALC, for measuring fluency in aphasia. The purpose was to determine whether CLAN's FLUCALC command could produce efficient, objective outcome measures for salient aspects of fluency in aphasia. Method: The FLUCALC comma...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 7; pp. 2333 - 2343 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Jul2024
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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=178362741&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 178362741 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: Jul2024 vid: 67 iid: 7 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 178362741 10.1044/2024_JSLHR-23-00659 ppf: 2333 ppct: 10 formats: fmt: @attributes: type: P size: 733KB tig: atl: Automated Analysis of Fluency Behaviors in Aphasia. aug: au: Fromm, Davida Chern, Steffi Geng, Zihan Kim, Mason Greenhouse, Joel MacWhinney, Brian affil: Department of Psychology, Carnegie Mellon University, Pittsburgh, PA. Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA. su: Evaluation of medical care Discourse analysis Storytelling Analysis of variance Language acquisition Diagnosis of aphasia Data analysis Research funding Research methodology evaluation Phonological awareness Stuttering Descriptive statistics Physiological aspects of speech Speech evaluation Statistics Automation Factor analysis Confidence intervals sug: subj: Evaluation of medical care Discourse analysis Storytelling Analysis of variance Language acquisition Diagnosis of aphasia Data analysis Research funding Research methodology evaluation Phonological awareness Stuttering Descriptive statistics Physiological aspects of speech Speech evaluation Statistics Automation Factor analysis Confidence intervals ab: Purpose: This study explored the use of an automated language analysis tool, FLUCALC, for measuring fluency in aphasia. The purpose was to determine whether CLAN's FLUCALC command could produce efficient, objective outcome measures for salient aspects of fluency in aphasia. Method: The FLUCALC command was used on CHAT transcripts of Cinderella stories from people with aphasia (PWA; n = 281) and controls (n = 257) in the AphasiaBank database. Results: PWA produced significantly fewer total words, fewer words per minute, more pausing, more repetitions, more revisions, and more phonological fragments than controls, with only one exception: The Wernicke’s group was similar to the control group in percentage of filled pauses. Individuals with Broca’s aphasia had significantly longer inter-utterance pauses and fewer total words than all other aphasia groups. Both the Broca’s and conduction aphasia groups had higher percentages of phrase repetitions than the NABW (NotAphasicByWAB) group. The conduction aphasia group also had a higher percentage of phrase revisions than the NABW and the anomic aphasia groups. Principal components analysis revealed two principal components that accounted for around 60% of the variance and related to quantity of output, rate of speech, and quality of output. The Gaussian mixture models showed that the participants clustered in three groups, which corresponded predominantly to the controls, the nonfluent aphasia group, and the remaining aphasia groups (all classically fluent aphasia types). Conclusions: FLUCALC is an efficient way to measure objective fluency behaviors in language samples in aphasia. Automated analyses of objective fluency behaviors on large samples of adults with and without aphasia can produce measures that can be used by researchers and clinicians to better understand and track salient aspects of fluency in aphasia. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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