-
Je něco špatně v tomto záznamu ?
Speech prosody impairment predicts cognitive decline in Parkinson's disease
I. Rektorova, J. Mekyska, E. Janousova, M. Kostalova, I. Eliasova, M. Mrackova, D. Berankova, T. Necasova, Z. Smekal, R. Marecek,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články
Grantová podpora
NT13499
MZ0
CEP - Centrální evidence projektů
NV16-30805A
MZ0
CEP - Centrální evidence projektů
- MeSH
- kognitivní poruchy diagnóza etiologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- neparametrická statistika MeSH
- neuropsychologické testy MeSH
- Parkinsonova nemoc komplikace MeSH
- poruchy řeči etiologie MeSH
- řeč fyziologie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- statistika jako téma MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Impairment of speech prosody is characteristic for Parkinson's disease (PD) and does not respond well to dopaminergic treatment. OBJECTIVES: We assessed whether baseline acoustic parameters, alone or in combination with other predominantly non-dopaminergic symptoms may predict global cognitive decline as measured by the Addenbrooke's cognitive examination (ACE-R) and/or worsening of cognitive status as assessed by a detailed neuropsychological examination. METHODS: Forty-four consecutive non-depressed PD patients underwent clinical and cognitive testing, and acoustic voice analysis at baseline and at the two-year follow-up. Influence of speech and other clinical parameters on worsening of the ACE-R and of the cognitive status was analyzed using linear and logistic regression. RESULTS: The cognitive status (classified as normal cognition, mild cognitive impairment and dementia) deteriorated in 25% of patients during the follow-up. The multivariate linear regression model consisted of the variation in range of the fundamental voice frequency (F0VR) and the REM Sleep Behavioral Disorder Screening Questionnaire (RBDSQ). These parameters explained 37.2% of the variability of the change in ACE-R. The most significant predictors in the univariate logistic regression were the speech index of rhythmicity (SPIR; p = 0.012), disease duration (p = 0.019), and the RBDSQ (p = 0.032). The multivariate regression analysis revealed that SPIR alone led to 73.2% accuracy in predicting a change in cognitive status. Combining SPIR with RBDSQ improved the prediction accuracy of SPIR alone by 7.3%. CONCLUSIONS: Impairment of speech prosody together with symptoms of RBD predicted rapid cognitive decline and worsening of PD cognitive status during a two-year period.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc18011196
- 003
- CZ-PrNML
- 005
- 20181029092510.0
- 007
- ta
- 008
- 180404s2016 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1016/j.parkreldis.2016.05.018 $2 doi
- 035 __
- $a (PubMed)27237105
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Rektorová, Irena, $u First Department of Neurology, School of Medicine, St. Anne's University Hospital, Pekarska 53, 65691 Brno, Czech Republic; Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Komenskeho nam. 2, 60200 Brno, Czech Republic. Electronic address: irena.rektorova@fnusa.cz. $d 1969- $7 ola2005284393
- 245 10
- $a Speech prosody impairment predicts cognitive decline in Parkinson's disease / $c I. Rektorova, J. Mekyska, E. Janousova, M. Kostalova, I. Eliasova, M. Mrackova, D. Berankova, T. Necasova, Z. Smekal, R. Marecek,
- 520 9_
- $a BACKGROUND: Impairment of speech prosody is characteristic for Parkinson's disease (PD) and does not respond well to dopaminergic treatment. OBJECTIVES: We assessed whether baseline acoustic parameters, alone or in combination with other predominantly non-dopaminergic symptoms may predict global cognitive decline as measured by the Addenbrooke's cognitive examination (ACE-R) and/or worsening of cognitive status as assessed by a detailed neuropsychological examination. METHODS: Forty-four consecutive non-depressed PD patients underwent clinical and cognitive testing, and acoustic voice analysis at baseline and at the two-year follow-up. Influence of speech and other clinical parameters on worsening of the ACE-R and of the cognitive status was analyzed using linear and logistic regression. RESULTS: The cognitive status (classified as normal cognition, mild cognitive impairment and dementia) deteriorated in 25% of patients during the follow-up. The multivariate linear regression model consisted of the variation in range of the fundamental voice frequency (F0VR) and the REM Sleep Behavioral Disorder Screening Questionnaire (RBDSQ). These parameters explained 37.2% of the variability of the change in ACE-R. The most significant predictors in the univariate logistic regression were the speech index of rhythmicity (SPIR; p = 0.012), disease duration (p = 0.019), and the RBDSQ (p = 0.032). The multivariate regression analysis revealed that SPIR alone led to 73.2% accuracy in predicting a change in cognitive status. Combining SPIR with RBDSQ improved the prediction accuracy of SPIR alone by 7.3%. CONCLUSIONS: Impairment of speech prosody together with symptoms of RBD predicted rapid cognitive decline and worsening of PD cognitive status during a two-year period.
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a senioři nad 80 let $7 D000369
- 650 _2
- $a kognitivní poruchy $x diagnóza $x etiologie $7 D003072
- 650 _2
- $a ženské pohlaví $7 D005260
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a longitudinální studie $7 D008137
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a neuropsychologické testy $7 D009483
- 650 _2
- $a Parkinsonova nemoc $x komplikace $7 D010300
- 650 _2
- $a řeč $x fyziologie $7 D013060
- 650 _2
- $a poruchy řeči $x etiologie $7 D013064
- 650 _2
- $a statistika jako téma $7 D013223
- 650 _2
- $a neparametrická statistika $7 D018709
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Mekyska, Jiří. $u Department of Telecommunications, Brno University of Technology, Technicka 10, 61600 Brno, Czech Republic. $7 xx0228655
- 700 1_
- $a Koriťáková, Eva $u Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Kamenice 126/3, 62500 Brno, Czech Republic. $7 xx0159601
- 700 1_
- $a Košťálová, Milena $u Department of Neurology, Faculty Hospital and Masaryk University, Jihlavska 20, 63900 Brno, Czech Republic. $7 xx0008540
- 700 1_
- $a Eliášová, Ilona. $u First Department of Neurology, School of Medicine, St. Anne's University Hospital, Pekarska 53, 65691 Brno, Czech Republic; Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Komenskeho nam. 2, 60200 Brno, Czech Republic. $7 xx0228670
- 700 1_
- $a Mračková, Martina. $u First Department of Neurology, School of Medicine, St. Anne's University Hospital, Pekarska 53, 65691 Brno, Czech Republic; Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Komenskeho nam. 2, 60200 Brno, Czech Republic. $7 xx0228672
- 700 1_
- $a Fiedorová, Dagmar. $u Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Komenskeho nam. 2, 60200 Brno, Czech Republic; Department of Neurology, University Hospital in Ostrava, 708 52 Ostrava, Czech Republic. $7 xx0218064
- 700 1_
- $a Nečasová, Tereza $u Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Kamenice 126/3, 62500 Brno, Czech Republic. $7 mub2017943671
- 700 1_
- $a Smékal, Zdeněk $u Department of Telecommunications, Brno University of Technology, Technicka 10, 61600 Brno, Czech Republic. $7 xx0005416
- 700 1_
- $a Mareček, Radek $u First Department of Neurology, School of Medicine, St. Anne's University Hospital, Pekarska 53, 65691 Brno, Czech Republic; Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Komenskeho nam. 2, 60200 Brno, Czech Republic. $7 xx0160209
- 773 0_
- $w MED00006198 $t Parkinsonism & related disorders $x 1873-5126 $g Roč. 29, č. - (2016), s. 90-95
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/27237105 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20180404 $b ABA008
- 991 __
- $a 20181029093025 $b ABA008
- 999 __
- $a ok $b bmc $g 1288681 $s 1008008
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2016 $b 29 $c - $d 90-95 $e 20160520 $i 1873-5126 $m Parkinsonism & related disorders $n Parkinsonism Relat Disord $x MED00006198
- GRA __
- $a NT13499 $p MZ0
- GRA __
- $a NV16-30805A $p MZ0
- LZP __
- $a Pubmed-20180404
