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@article{1486869,
author = {Mekyska, Jiri and Galaz, Zoltan and Kiska, Tomas and Zvoncak, Vojtech and Mucha, Jan and Smekal, Zdenek and Eliášová, Ilona and Košťálová, Milena and Mračková, Martina and Fiedorová, Dagmar and FaundezandZanuy, Marcos and SoleandCasals, Jordi and GomezandVilda, Pedro and Rektorová, Irena},
article_location = {NEW YORK},
article_number = {6},
doi = {http://dx.doi.org/10.1007/s12559-018-9575-8},
keywords = {Parkinson's disease; Hypokinetic dysarthria; Freezing of gait; Acoustic analysis; Quantitative analysis},
language = {eng},
issn = {1866-9956},
journal = {COGNITIVE COMPUTATION},
title = {Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease},
volume = {10},
year = {2018}
}
TY - JOUR
ID - 1486869
AU - Mekyska, Jiri - Galaz, Zoltan - Kiska, Tomas - Zvoncak, Vojtech - Mucha, Jan - Smekal, Zdenek - Eliášová, Ilona - Košťálová, Milena - Mračková, Martina - Fiedorová, Dagmar - Faundez-Zanuy, Marcos - Sole-Casals, Jordi - Gomez-Vilda, Pedro - Rektorová, Irena
PY - 2018
TI - Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease
JF - COGNITIVE COMPUTATION
VL - 10
IS - 6
SP - 1006-1018
EP - 1006-1018
PB - SPRINGER
SN - 18669956
KW - Parkinson's disease
KW - Hypokinetic dysarthria
KW - Freezing of gait
KW - Acoustic analysis
KW - Quantitative analysis
N2 - Hypokinetic dysarthria (HD) and freezing of gait (FOG) are both axial symptoms that occur in patients with Parkinson's disease (PD). It is assumed they have some common pathophysiological mechanisms and therefore that speech disorders in PD can predict FOG deficits within the horizon of some years. The aim of this study is to employ a complex quantitative analysis of the phonation, articulation and prosody in PD patients in order to identify the relationship between HD and FOG, and establish a mathematical model that would predict FOG deficits using acoustic analysis at baseline. We enrolled 75 PD patients who were assessed by 6 clinical scales including the Freezing of Gait Questionnaire (FOG-Q). We subsequently extracted 19 acoustic measures quantifying speech disorders in the fields of phonation, articulation and prosody. To identify the relationship between HD and FOG, we performed a partial correlation analysis. Finally, based on the selected acoustic measures, we trained regression models to predict the change in FOG during a 2-year follow-up. We identified significant correlations between FOG-Q scores and the acoustic measures based on formant frequencies (quantifying the movement of the tongue and jaw) and speech rate. Using the regression models, we were able to predict a change in particular FOG-Q scores with an error of between 7.4 and 17.0 %. This study is suggesting that FOG in patients with PD is mainly linked to improper articulation, a disturbed speech rate and to intelligibility. We have also proved that the acoustic analysis of HD at the baseline can be used as a predictor of the FOG deficit during 2 years of follow-up. This knowledge enables researchers to introduce new cognitive systems that predict gait difficulties in PD patients.
ER -
MEKYSKA, Jiri, Zoltan GALAZ, Tomas KISKA, Vojtech ZVONCAK, Jan MUCHA, Zdenek SMEKAL, Ilona ELIÁŠOVÁ, Milena KOŠŤÁLOVÁ, Martina MRAČKOVÁ, Dagmar FIEDOROVÁ, Marcos FAUNDEZ-ZANUY, Jordi SOLE-CASALS, Pedro GOMEZ-VILDA a Irena REKTOROVÁ. Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease. \textit{COGNITIVE COMPUTATION}. NEW YORK: SPRINGER, roč.~10, č.~6, s.~1006-1018. ISSN~1866-9956. doi:10.1007/s12559-018-9575-8. 2018.
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