A Multivariate Analytic Approach to the Differential Diagnosis of Apraxia of Speech

Autor/inn/en	Basilakos, Alexandra; Yourganov, Grigori; den Ouden, Dirk-Bart; Fogerty, Daniel; Rorden, Chris; Feenaughty, Lynda; Fridriksson, Julius
Titel	A Multivariate Analytic Approach to the Differential Diagnosis of Apraxia of Speech
Quelle	In: Journal of Speech, Language, and Hearing Research, 60 (2017) 12, S.3378-3392 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1092-4388
DOI	10.1044/2017_JSLHR-S-16-0443
Schlagwörter	Multivariate Analysis; Speech Impairments; Clinical Diagnosis; Aphasia; Neurological Impairments; Comorbidity; Classification; Accuracy; Adults; Predictor Variables + Suchen Sie Ihr Suchwort? Multivariate Analyse; Speech impairment; Speech handicap; Speech handicaps; Language handicps; Language impairments; Sprachbehinderung; Expressive Aphasie; Aphasie; Neurodegenerative Erkrankung; Classification system; Klassifikation; Klassifikationssystem; Prädiktor
Abstract	Purpose: Apraxia of speech (AOS) is a consequence of stroke that frequently co-occurs with aphasia. Its study is limited by difficulties with its perceptual evaluation and dissociation from co-occurring impairments. This study examined the classification accuracy of several acoustic measures for the differential diagnosis of AOS in a sample of stroke survivors. Method: Fifty-seven individuals were included (mean age = 60.8 ± 10.4 years; 21 women, 36 men; mean months poststroke = 54.7 ± 46). Participants were grouped on the basis of speech/language testing as follows: AOS-Aphasia (n = 20), Aphasia Only (n = 24), and Stroke Control (n = 13). Normalized Pairwise Variability Index, proportion of distortion errors, voice onset time variability, and amplitude envelope modulation spectrum variables were obtained from connected speech samples. Measures were analyzed for group differences and entered into a linear discriminant analysis to predict diagnostic classification. Results: Out-of-sample classification accuracy of all measures was over 90%. The envelope modulation spectrum variables had the greatest impact on classification when all measures were analyzed together. Conclusions: This study contributes to efforts to identify objective acoustic measures that can facilitate the differential diagnosis of AOS. Results suggest that further study of these measures is warranted to determine the best predictors of AOS diagnosis. (As Provided).
Anmerkungen	American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01