How language flows when movements don't: An automated analysis of spontaneous discourse in Parkinson's disease.
Brain Lang
; 162: 19-28, 2016 Nov.
Article
en En
| MEDLINE
| ID: mdl-27501386
To assess the impact of Parkinson's disease (PD) on spontaneous discourse, we conducted computerized analyses of brief monologues produced by 51 patients and 50 controls. We explored differences in semantic fields (via latent semantic analysis), grammatical choices (using part-of-speech tagging), and word-level repetitions (with graph embedding tools). Although overall output was quantitatively similar between groups, patients relied less heavily on action-related concepts and used more subordinate structures. Also, a classification tool operating on grammatical patterns identified monologues as pertaining to patients or controls with 75% accuracy. Finally, while the incidence of dysfluent word repetitions was similar between groups, it allowed inferring the patients' level of motor impairment with 77% accuracy. Our results highlight the relevance of studying naturalistic discourse features to tap the integrity of neural (and, particularly, motor) networks, beyond the possibilities of standard token-level instruments.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
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Habla
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Movimiento
Tipo de estudio:
Observational_studies
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Risk_factors_studies
Límite:
Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Brain Lang
Año:
2016
Tipo del documento:
Article
Pais de publicación:
Países Bajos