The language profile of progressive supranuclear palsy

Eleonora Catricalà, Veronica Boschi, Sofia Cuoco, Francesco Galiano, Marina Picillo, Elena Gobbi, Antonio Miozzo, Cristiano Chesi, Valentina Esposito, Gabriella Santangelo, Maria Teresa Pellecchia, Virginia M. Borsa, Paolo Barone, Peter Garrard, Sandro Iannaccone, Stefano F. Cappa

Research output: Contribution to journalArticle

Abstract

A progressive speech/language disorder, such as the non fluent/agrammatic variant of primary progressive aphasia and progressive apraxia of speech, can be due to neuropathologically verified Progressive Supranuclear Palsy (PSP). The prevalence of linguistic deficits and the linguistic profile in PSP patients who present primarily with a movement disorder is unknown. In the present study, we investigated speech and language performance in a sample of clinically diagnosed PSP patients using a comprehensive language battery, including, besides traditional language tests, a detailed analysis of connected speech (picture description task assessing 26 linguistic features). The aim was to identify the most affected linguistic levels in seventeen PSP with a movement disorder presentation, compared to 21 patients with Parkinson's disease and 27 healthy controls. Machine learning methods were used to detect the most relevant language tests and linguistic features characterizing the language profile of PSP patients. Our results indicate that even non-clinically aphasic PSP patients have subtle language deficits, in particular involving the lexical-semantic and discourse levels. Patients with the Richardson's syndrome showed a lower performance in the word comprehension task with respect to the other PSP phenotypes with predominant frontal presentation, parkinsonism and progressive gait freezing. The present findings support the usefulness of a detailed language assessment in all patients in the PSP spectrum.

Original languageEnglish
Pages (from-to)294-308
Number of pages15
JournalCortex
Volume115
DOIs
Publication statusPublished - Jun 2019

Keywords

  • Connected speech
  • Language
  • Machine learning
  • Progressive supranuclear palsy
  • Richardson's syndrome

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience

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