INCYT   25562
INSTITUTO DE NEUROCIENCIA COGNITIVA Y TRASLACIONAL
Unidad Ejecutora - UE
artículos
Título:
How language flows when movements dont: An automated analysis of spontaneous discourse in Parkinsons disease
Autor/es:
J. R. OROZCO-ARROYAVE; SOL FITTIPALDI; MARIANO SIGMAN; G. A. CECCHI; J. R. OROZCO-ARROYAVE; F CARRILLO; SOL FITTIPALDI; J. F. VARGAS-BONILLA ; MARIANO SIGMAN; E. NÖTH; G. A. CECCHI; AGUSTIN IBÁÑEZ; F CARRILLO; J. F. VARGAS-BONILLA ; E. NÖTH; AGUSTIN IBÁÑEZ; ADOLFO M. GARCÍA; NATALIA TRUJILLO; FEDERICO ADOLFI; D. FERNÁNDEZ-SLEZAK; ADOLFO M. GARCÍA; NATALIA TRUJILLO; FEDERICO ADOLFI; D. FERNÁNDEZ-SLEZAK
Revista:
BRAIN AND LANGUAGE
Editorial:
ACADEMIC PRESS INC ELSEVIER SCIENCE
Referencias:
Lugar: Amsterdam; Año: 2016 vol. 162 p. 19 - 28
ISSN:
0093-934X
Resumen:
To assess the impact of Parkinson?s disease (PD) on spontaneous discourse, weconducted computerized analyses of brief monologues produced by 51 patients and 50controls. We explored differences in semantic fields (via latent semantic analysis),grammatical choices (using part-of-speech tagging), and word-level repetitions (withgraph embedding tools). Although overall output was quantitatively similar betweengroups, patients relied less heavily on action-related concepts and used moresubordinate 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.