Brief Visuospatial Memory Test-Revised: normative data and clinical utility of learning indices in Parkinson's disease
The result's identifiers
Result code in 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>
Alternative codes found
RIV/47122099:_____/20:N0000022 RIV/00216208:11110/20:10418129 RIV/00216208:11120/20:43920782 RIV/00064165:_____/20:10418129
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Brief Visuospatial Memory Test-Revised: normative data and clinical utility of learning indices in Parkinson's disease
Original language description
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'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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50103 - Cognitive sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Clinical and Experimental Neuropsychology
ISSN
1380-3395
e-ISSN
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Volume of the periodical
42
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
1099-1110
UT code for WoS article
000589848100001
EID of the result in the Scopus database
2-s2.0-85096108853