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The language profile of progressive supranuclear palsy.

Catricalà, E; Boschi, V; Cuoco, S; Galiano, F; Picillo, M; Gobbi, E; Miozzo, A; Chesi, C; Esposito, V; Santangelo, G; et al. Catricalà, E; Boschi, V; Cuoco, S; Galiano, F; Picillo, M; Gobbi, E; Miozzo, A; Chesi, C; Esposito, V; Santangelo, G; Pellecchia, MT; Borsa, VM; Barone, P; Garrard, P; Iannaccone, S; Cappa, SF (2019) The language profile of progressive supranuclear palsy. Cortex, 115. pp. 294-308. ISSN 1973-8102 https://doi.org/10.1016/j.cortex.2019.02.013
SGUL Authors: Garrard, Peter

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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.

Item Type: Article
Additional Information: © 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords: Connected speech, Language, Machine learning, Progressive supranuclear palsy, Richardson's syndrome, Language, Progressive supranuclear palsy, Connected speech, Machine learning, Richardson's syndrome, 1109 Neurosciences, 1702 Cognitive Science, Experimental Psychology
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Cortex
ISSN: 1973-8102
Language: eng
Dates:
DateEvent
June 2019Published
22 February 2019Published Online
14 February 2019Accepted
Publisher License: Creative Commons: Attribution-Noncommercial-No Derivative Works 4.0
Projects:
Project IDFunderFunder ID
MR/N025881/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
PubMed ID: 30884283
Web of Science ID: WOS:000469903200021
Go to PubMed abstract
URI: http://sgultest.da.ulcc.ac.uk/id/eprint/111285
Publisher's version: https://doi.org/10.1016/j.cortex.2019.02.013

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