The normative data study of the Czech MATRICS consensus cognitive battery

Abstract

Objective

The MATRICS consensus cognitive battery (MCCB) is a widely used neuropsychological battery for the assessment of cognitive dysfunction in schizophrenia. However, the accuracy of measurement is dependent on suitable normative data which are in the Czech Republic lacking.

Method

The Czech academic research translation of the MCCB battery was administered to a sample of healthy volunteers aged 17 to 62 years (N = 573) and the effects of age, education and sex were examined. In addition, a comparison was made to examine the differences between the US and current normative data.

Results

Consistent with previous studies, significant effects of age, sex and education were found, however, in sex and education in distinct MCCB-domains. By comparing the original and current normative data, significant differences with small to large effect sizes were revealed in all domains except for Verbal Learning.

Conclusions

We present nationally specific MCCB regression-based and tabular normative data applicable in research and clinical settings.

Acknowledgements

The authors are very grateful for the generous support of Professors K. Nuechterlein and M. Green with the research and of Linda Lynch from MATRICS.org. Also, we would like to thank the anonymous reviewers for improving the manuscript and (in alphabetical order) Anna Machutová, Denisa Vánišová, Kristýna Brandová, Michaela Kačerová, Monika Librová, Tereza Stehnová, and Terezie Zuntychová for help in data collection and management.

Disclosure statement

The authors have no financial conflict of interests related to the present research. The academicresearch translation of the MCCB was approved by MATRICS Assessment, Inc.

Notes

1 All p-values are corrected for multple comparison using Benjamini-Hochberg procedure.

Additional information

Funding

Supported by Ministry of Health of the Czech Republic, grant nr. NU21-04-00535 and from Charles University under grant PROGRES Q27/LF1. Work of FD was supported by the Czech Academy of Sciences under grant RVO 68081740.