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.

Základní údaje

Originální název

Quantitative Analysis of Relationship Between Hypokinetic Dysarthria and the Freezing of Gait in Parkinson's Disease

Autoři

MEKYSKA, Jiri (203 Česká republika), Zoltan GALAZ (203 Česká republika), Tomas KISKA (203 Česká republika), Vojtech ZVONCAK (203 Česká republika), Jan MUCHA (203 Česká republika), Zdenek SMEKAL (203 Česká republika), Ilona ELIÁŠOVÁ (203 Česká republika, domácí), Milena KOŠŤÁLOVÁ (203 Česká republika, domácí), Martina MRAČKOVÁ (203 Česká republika, domácí), Dagmar FIEDOROVÁ (203 Česká republika, domácí), Marcos FAUNDEZ-ZANUY (724 Španělsko), Jordi SOLE-CASALS (724 Španělsko), Pedro GOMEZ-VILDA (724 Španělsko) a Irena REKTOROVÁ (203 Česká republika, garant, domácí)

Vydání

COGNITIVE COMPUTATION, NEW YORK, SPRINGER, 2018, 1866-9956

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30103 Neurosciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 4.287

Kód RIV

RIV/00216224:14740/18:00106963

Organizační jednotka

Středoevropský technologický institut

UT WoS

000453344800010

Klíčová slova anglicky

Parkinson's disease; Hypokinetic dysarthria; Freezing of gait; Acoustic analysis; Quantitative analysis

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 18. 3. 2019 14:51, Mgr. Pavla Foltynová, Ph.D.

Anotace

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.

Návaznosti

NV16-30805A, projekt VaV
Název: Efekt neinvazivní stimulace mozku na hypokinetickou dysartrii, mikrografii a mozkovou plasticitu u pacientů s Parkinsonovou nemocí