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 and Irena REKTOROVÁ. Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease. COGNITIVE COMPUTATION. NEW YORK: SPRINGER, 2018, vol. 10, No 6, p. 1006-1018. ISSN 1866-9956. Available from: https://dx.doi.org/10.1007/s12559-018-9575-8.
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Basic information
Original name Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease
Authors MEKYSKA, Jiri (203 Czech Republic), Zoltan GALAZ (203 Czech Republic), Tomas KISKA (203 Czech Republic), Vojtech ZVONCAK (203 Czech Republic), Jan MUCHA (203 Czech Republic), Zdenek SMEKAL (203 Czech Republic), Ilona ELIÁŠOVÁ (203 Czech Republic, belonging to the institution), Milena KOŠŤÁLOVÁ (203 Czech Republic, belonging to the institution), Martina MRAČKOVÁ (203 Czech Republic, belonging to the institution), Dagmar FIEDOROVÁ (203 Czech Republic, belonging to the institution), Marcos FAUNDEZ-ZANUY (724 Spain), Jordi SOLE-CASALS (724 Spain), Pedro GOMEZ-VILDA (724 Spain) and Irena REKTOROVÁ (203 Czech Republic, guarantor, belonging to the institution).
Edition COGNITIVE COMPUTATION, NEW YORK, SPRINGER, 2018, 1866-9956.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 4.287
RIV identification code RIV/00216224:14740/18:00106963
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1007/s12559-018-9575-8
UT WoS 000453344800010
Keywords in English Parkinson's disease; Hypokinetic dysarthria; Freezing of gait; Acoustic analysis; Quantitative analysis
Tags 14110221, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 18/3/2019 14:51.
Abstract
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.
Links
NV16-30805A, research and development projectName: Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí
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