Dysprosody Differentiate Between Parkinson’s Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00313036" target="_blank" >RIV/68407700:21230/17:00313036 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.21437/Interspeech.2017-762" target="_blank" >http://dx.doi.org/10.21437/Interspeech.2017-762</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21437/Interspeech.2017-762" target="_blank" >10.21437/Interspeech.2017-762</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dysprosody Differentiate Between Parkinson’s Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy

Popis výsledku v původním jazyce

Parkinson’s disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) are distinctive neurodegenerative disorders, which manifest similar motor features. Their differentiation is crucial but difficult. Dysfunctional speech, especially dysprosody, is a common symptom accompanying PD, PSP, and MSA from early stages. We hypothesized that automated analysis of monologue could provide speech patterns distinguishing PD, PSP, and MSA. We analyzed speech recordings of 16 patients with PSP, 20 patients with MSA, and 23 patients with PD. Our findings revealed that deviant pause production differentiated between PSP, MSA, and PD. In addition, PSP showed greater deficits in speech respiration when compared to MSA and PD. Automated analysis of connected speech is easy to administer and could provide valuable information about underlying pathology for differentiation between PSP, MSA, and PD.

Název v anglickém jazyce

Dysprosody Differentiate Between Parkinson’s Disease, Progressive Supranuclear Palsy, and Multiple System Atrophy

Popis výsledku anglicky

Parkinson’s disease (PD), progressive supranuclear palsy (PSP), and multiple system atrophy (MSA) are distinctive neurodegenerative disorders, which manifest similar motor features. Their differentiation is crucial but difficult. Dysfunctional speech, especially dysprosody, is a common symptom accompanying PD, PSP, and MSA from early stages. We hypothesized that automated analysis of monologue could provide speech patterns distinguishing PD, PSP, and MSA. We analyzed speech recordings of 16 patients with PSP, 20 patients with MSA, and 23 patients with PD. Our findings revealed that deviant pause production differentiated between PSP, MSA, and PD. In addition, PSP showed greater deficits in speech respiration when compared to MSA and PD. Automated analysis of connected speech is easy to administer and could provide valuable information about underlying pathology for differentiation between PSP, MSA, and PD.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20601 - Medical engineering

Projekt

<a href="/cs/project/NV15-28038A" target="_blank" >NV15-28038A: Poruchy řeči a analýza jejich mechanismů u Parkinsonovy nemoci a dalších extrapyramidových onemocnění.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

INTERSPEECH 2017

ISBN

—

ISSN

2308-457X

e-ISSN

1990-9772

Počet stran výsledku

5

Strana od-do

1844-1848

Název nakladatele

ISCA - International Speech Communication Association

Místo vydání

Bochum

Místo konání akce

Stockholm

Datum konání akce

20. 8. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—