Detailed Information on Publication Record
2018
Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease
MEKYSKA, Jiri, Zoltan GALAZ, Tomas KISKA, Vojtech ZVONCAK, Jan MUCHA et. al.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
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 4.287
RIV identification code
RIV/00216224:14740/18:00106963
Organization unit
Central European Institute of Technology
UT WoS
000453344800010
Keywords in English
Parkinson's disease; Hypokinetic dysarthria; Freezing of gait; Acoustic analysis; Quantitative analysis
Tags
International impact, Reviewed
Změněno: 18/3/2019 14:51, Mgr. Pavla Foltynová, Ph.D.
Abstract
V originále
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 project |
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