Cited by 144Neurobiology of Language and BilingualismVoice and Speech DisordersParkinson's Disease Mechanisms and Treatments

How language flows when movements don’t: An automated analysis of spontaneous discourse in Parkinson’s disease

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García, Adolfo M., Carrillo, Facundo, Orozco-Arroyave, Juan Rafael, Trujillo, Natalia, Vargas Bonilla, Jesús F., Fittipaldi, Sol, Adolfi, Federico, Nöth, Elmar +4 more·2016·Brain and Language

Abstract

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.

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  1. Halliday, M. A. K., & Matthiessen, M. I. M. (2004). An introduction to functional grammar (3rd ed.). New York: Routledge.
  2. Schmid, H. (1994). Probabilistic part-of-speech tagging using decision trees. In Proceedings of international conference on new methods in language processing (pp. 44-49). Manchester: UMIST.

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Authors
García, A. M., Carrillo, F., Orozco-Arroyave, J. R., Trujillo, N., Vargas Bonilla, J. F., Fittipaldi, S., Adolfi, F., Nöth, E., Sigman, M., Fernández Slezak, D., Ibáñez, A., & Cecchi, G. A.
Affiliations
  • Consejo Nacional de Investigaciones Científicas y Técnicas (AR)
  • Universidad de Antioquia (CO)
  • Favaloro University (AR)
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
  • Universidad Torcuato Di Tella (AR)
  • Australian Research Council (AU)
  • IBM (United States) (US)
Corresponding author
  • García, Adolfo M.
  • Cecchi, Guillermo A.
Venue
Brain and Language
Publisher
Elsevier BV
Published
2016-11
Volume
162
Pages
19-28
ISSN
0093-934X (ISSN-L)
OpenAlex
W2503328419
Cited by
144
References
86
Citations by year
2026: 7 · 2025: 14 · 2024: 11 · 2023: 16 · 2022: 7 · 2021: 7 · 2020: 30 · 2019: 26 · 2018: 11 · 2017: 13 · 2016: 2
FWCI
11.00
Type
journal article
Language
en
Open access
Locations
  • Brain and Language (publishedVersion)
  • PubMed (publishedVersion)
  • Americanae (AECID Library) (submittedVersion, cc-by-nc-nd)
  • LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-nd)
  • CONICET Digital (CONICET) (submittedVersion, cc-by-nc-sa)
Funders
  • CONICET
  • UBA
  • CONICYT/FONDECYT (1130920)
  • COLCIENCIAS (1115-569-33858, 1115-545-31374)
  • FONCyT-PICT (2012-0412, 2012-1309, 2013-1794)
  • FONDAP (15150012)
  • INECO Foundation
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
  • Health Sciences › Medicine › Physiology › Voice and Speech Disorders
  • Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
Keywords
Parkinson's disease, spontaneous discourse, monologue, latent semantic analysis, part-of-speech tagging, graph embedding, word repetition, grammatical complexity, motor impairment
MeSH terms
Female, Humans, Male, Middle Aged, Motor Skills, Movement, Nerve Net, Parkinson Disease, Semantics, Speech, Case-Control Studies

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