J 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
Name: Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí