Brief Visuospatial Memory Test-Revised: normative data and clinical utility of learning indices in Parkinson's disease

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F20%3A43920421" target="_blank" >RIV/00023752:_____/20:43920421 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/47122099:_____/20:N0000022 RIV/00216208:11110/20:10418129 RIV/00216208:11120/20:43920782 RIV/00064165:_____/20:10418129

Výsledek na webu

<a href="https://www.tandfonline.com/doi/full/10.1080/13803395.2020.1845303" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/13803395.2020.1845303</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/13803395.2020.1845303" target="_blank" >10.1080/13803395.2020.1845303</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Brief Visuospatial Memory Test-Revised: normative data and clinical utility of learning indices in Parkinson's disease

Popis výsledku v původním jazyce

Introduction: The Brief Visual Memory Test-Revised (BVMT-R) is a frequently used visuospatial declarative memory test, but normative data in the Czech population are lacking. Moreover, the BVMT-R includes promising learning indexes that can be used to detect learning deficits in Parkinson&apos;s disease (PD). However, its clinical usefulness has not yet been thoroughly examined. Early detection of memory impairment in PD is essential for effective treatment. Therefore, this study aimed to provide BVMT-R Czech normative data for clinical use and to find the detection potential of the principal BVMT-R scores, including new learning indices, to capture the cognitive deficit in PD. Method: The BVMT-R were administered to a normative sample of 920 participants aged 17 to 95 years and to a clinical sample of 60 PD patients; 25 with mild cognitive impairment (PD-MCI) and 35 with normal cognition (PD-NC). In order to provide normative values, multiple regression analyses were employed, and to compare the clinical and control sample, Bayesian Hierarchical Linear Models were used. Results: The best model for regression-based norms showed to be with age + age2 + education + sex as predictors. From all learning indexes, L6 (sum of trials 1-3), followed by, L4 (sum of trials 1-3 multiplied by the difference between the highest and the lowest score) best differentiated between controls or PD-NC and PD-MCI. Conclusions: We provide regression-based normative values for BVMT-R that could be used in clinical settings and meta-analytic efforts. Furthermore, we revealed visuospatial learning and memory deficit in PD-MCI. We have also identified the most discriminative learning index adapted to BVMT-R.

Název v anglickém jazyce

Brief Visuospatial Memory Test-Revised: normative data and clinical utility of learning indices in Parkinson's disease

Popis výsledku anglicky

Introduction: The Brief Visual Memory Test-Revised (BVMT-R) is a frequently used visuospatial declarative memory test, but normative data in the Czech population are lacking. Moreover, the BVMT-R includes promising learning indexes that can be used to detect learning deficits in Parkinson&apos;s disease (PD). However, its clinical usefulness has not yet been thoroughly examined. Early detection of memory impairment in PD is essential for effective treatment. Therefore, this study aimed to provide BVMT-R Czech normative data for clinical use and to find the detection potential of the principal BVMT-R scores, including new learning indices, to capture the cognitive deficit in PD. Method: The BVMT-R were administered to a normative sample of 920 participants aged 17 to 95 years and to a clinical sample of 60 PD patients; 25 with mild cognitive impairment (PD-MCI) and 35 with normal cognition (PD-NC). In order to provide normative values, multiple regression analyses were employed, and to compare the clinical and control sample, Bayesian Hierarchical Linear Models were used. Results: The best model for regression-based norms showed to be with age + age2 + education + sex as predictors. From all learning indexes, L6 (sum of trials 1-3), followed by, L4 (sum of trials 1-3 multiplied by the difference between the highest and the lowest score) best differentiated between controls or PD-NC and PD-MCI. Conclusions: We provide regression-based normative values for BVMT-R that could be used in clinical settings and meta-analytic efforts. Furthermore, we revealed visuospatial learning and memory deficit in PD-MCI. We have also identified the most discriminative learning index adapted to BVMT-R.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50103 - Cognitive sciences

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Clinical and Experimental Neuropsychology

ISSN

1380-3395

e-ISSN

—

Svazek periodika

42

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

1099-1110

Kód UT WoS článku

000589848100001

EID výsledku v databázi Scopus

2-s2.0-85096108853