ГоловнаArchive of numbers2020Volume 28, issue 3 (104)Peculiarities of an assessment of a cognitive efficacy in multiple sclerosis
Title of the article Peculiarities of an assessment of a cognitive efficacy in multiple sclerosis
Authors Nikishkova Iryna
Kutikov Damir
Kutikov Oleksandr
Kizurina Julia
In the section MECHANISMS OF FORMATION AND MODERN PRINCIPLES OF TREATMENT OF NEUROLOGICAL DISORDERS
Year 2020 Issue Volume 28, issue 3 (104) Pages 21-26
Type of article Scientific article Index UDK 612.821.1:159.944:616-073.97:616.832-004.2 Index BBK -
Abstract DOI: https://doi.org/10.36927/2079-0325-V28-is3-2020-4

 A key cognitive deficit in multiple sclerosis (MS) is a poor efficacy of the information processing, with working memory impairments and a decreased speed of the information processing as components of formation of this poor efficacy. Despite of a sufficient number of single cognitive tests and test batteries, there are still essential knowledge gaps and methodological limitations connected with understanding and measurements of the cognitive deficit in MS. To study real reasons of changes of the cognitive efficacy in MS, a neurocognitive testing with the original computerized Set for Assessment of Cognitive Capacity and Switchability (сSACCAS), an assessment of levels anxiety/depression, and an assessment of level of fatigue were performed for 25 patients with MS (including 17 female patients) (with a mean age of 34.14 ± 2.13 years old) and 25 practically healthy persons (including 15 females) (with a mean age of 31.80 ± 2.60 years old). To determine neurophysiological correlates of the cognitive functioning, an examination of cognitive evoked potentials (CEP) was performed. An investigation of the distribution density of results of the MS patients’ testing defined 3 groups among them. These groups had differences on the time of performing of test tasks, the “real mistake ratio”, switchability, parameters of N2- and P3-components of CEP, a localization of a maximal P3 peak. The motor reaction speed was more connected with the attention and the information processing speed, than with a visual-spatial orientation, whereas the fatigue more influenced on the speed of comparison and decision making, than on the attention. In 44 % of cases, the time of reply in tests were increased by a slowing down of assessment of a stimulus modality; in 24 % of cases, a long delay of the reply was connected, besides of a low speed of cognitive processes, with impairments of a working memory. The results obtained confirmed a significance of an integrated approach to understand reasons of changes of the cognitive efficacy and to assess adequately cognitive impairments in MS.
Key words neurocognitive computerized tests, cognitive efficacy, cognitive evoked potentials, multiple sclerosis
Access to full text version of the article pdf download
Bibliography 1. DiGiuseppe G., Blair M., Morrow S. A. Prevalence of cognitive impairment in newly diagnosed relapsing-remitting multiple sclerosis // Int. J. MS Care 2018. Vol. 20. P. 153—157. DOI: 10.7224/1537-2073.2017-029.
2. Vanotti S., Caceres F. J. Cognitive and neuropsychiatric disorders among MS patients from Latin America // MSJ Exp. Trans. Clin. 2017. Vol. 3, no. 3. DOI:10.1177/2055217317717508.
3. Distinct cognitive impairments in different disease courses of multiple sclerosis — A systematic review and meta-analysis / A. Johnen, N. C. Landmeyer, P. C. Bürkner [et al.] // Neurosci. Biobehav. Rev. 2017. Vol. 83. P. 568—578. DOI: 10.1016/j.neubiorev.2017.09.005.
4. Cognitive decline in Multiple Sclerosis patients / E. Koutsouraki, T. Kalatha, E. Grosi [et al.] // Hell. J. Nucl. Med. 2019. Vol. 22. P. 75—81. PMID: 30877725.
5. Clemens L., Langdon D. How does cognition relate to employment in multiple sclerosis? A systematic review // Mult. Scler. Relat. Disord. 2018. Vol. 26. P. 183—191. DOI: 10.1016/j.msard.2018.09.018.
6. Recommendations for cognitive screening and management in multiple sclerosis care / R. Kalb, M. Beier, R. H. B. Benedict [et al.] // Mult. Scler. J. 2018. Vol. 24, no. 13. P. 1665—1680. DOI: 10.1177/1352458518803785.
7. Macías Islas M. A., Ciampi E. Assessment and Impact of Cognitive Impairment in Multiple Sclerosis: An Overview // Biomedicines. 2019. Vol. 7, no. 1. P. 22. DOI: 10.3390/biomedicines7010022.
8. Hansen S., Lautenbacher S. Neuropsychological assessment in multiple sclerosis // Neuropsychologie. 2017. Vol. 28, no. 2. P. 117—148. DOI: https://doi.org/10.1024/1016-264X/a000197.
9. Grzegorski T., Losy J. Cognitive impairment in multiple sclerosis — a review of current knowledge and recent research // Rev. Neurosci. 2017. Vol. 28, no. 8. P. 845—860. DOI: 10.1515/revneuro-2017-0011.
10. Brain functional and effective connectivity underlying the information processing speed assessed by the Symbol Digit Modalities Test / P. H. R. Silva, C. T. Spedo, C. R. Baldassarini [et al.] // Neuroimage. 2019. Vol. 184. P. 761—770. DOI: 10.1016/j.neuroimage.2018.09.080.
11. А. s. 93527 Ukrayini. Komp’yuterna programa «Dodatok Computerized Set for Assessment of Cognitive Capacity and Switchability Ekosistemi programnih komponentiv POTesMANU» (“POTesMANU cSACCAS”) / D. O. Kutikov (Ukrayina). № 93527; zayavl. 23.09.2019; reyestr. 29.10.2019; opubl. 27.11.2019, Byul. Avtor. pravo i sumizhni prava № 55. S. 576.
12. Kutikov D.O., Kizurina J.V., Nikishkova I. M. Assessment of cognitive changes in multiple sclerosis with the computerized direct and inverse conversion test // Fundamentalnaya nauka v sovremennoy meditsine: Sb. materialov sattelit. distants. nauchn.-prakt. konf. Minsk : Izd-vo Belorus. gos. med. un-ta, 2020. S. 78—83.
13. A. s. 82981 Ukrayini. Komp’yuterna programa «Automatic Method Complex for Analysis of Samples with Irregular Distribution of Densities» («Komp’yuterna programa AMCASIDD») / D. O. Kutikov, Yu. V. Kizyurina (Ukrayina). № 82981; zayavl. 17.09.2018; reyestr. 20.11.2018; opubl. 25.01.2019, Byul. Avtor. pravo i sumizhni prava № 51. S. 445—446.
14. A. s. 86616 Ukrayini. Komp’yuterna programa “Visualization, Aggregation, Estimation of EEG” (“VisAgEs EEG”) / D. O. Kutikov (Ukrayina). № 86616; zayavl. 19.02.2019; reyestr. 07.03.2019; opubl. 26.04.2019, Byul. Avtor. pravo i sumizhni prava № 52. S. 1044.
15. Nikishkova I. M., Mishenko V. M., Kutikov D. O. Chutlivist kognitivnih domeniv do tyagarya hvorobi malih sudin golovnogo mozku // Ukrayinskij visnik psihonevrologiyi. 2019. T. 27, vip. 1 (98). S. 20—26.
16. Patel S. H., Azzam P. N. Characterization of N200 and P300: selected studies of the event-related potential // Int. J. Med. Sci. 2005. Vol. 2, no. 4. P. 147—154. DOI: 10.7150/ijms.2.147.
17. Polich J. Updating P300: An integrative theory of P3a and P3b // Clin Neurophysiol. 2007. Vol. 118, no. 10. P. 2128—2148. DOI: 10.1016/j.clinph.2007.04.019.
18. Event-related potentials and cognitive performance in multiple sclerosis patients with fatigue / A. Pokryszko-Dragan, M. Zagrajek, K. Slotwinski [et al.] // Neurol Sci. 2016. Vol. 37. P. 1545—1556. DOI: 10.1007/s10072-016-2622-x.
19. A high-density ERP study reveals latency, amplitude, and topographical differences in multiple sclerosis patients versus controls / R. Whelan, R. Lonergan, H. Kiiski [et al.] // Clin. Neurophysiol. 2010. Vol. 121, no. 9. P. 1420—1426. DOI: 10.1016/j.clinph.2010.03.019.
20. Only low frequency event-related EEG activity is compromised in multiple sclerosis: insights from an Independent component clustering analysis / H. Kiiski, R. B. Reilly, R. Lonergan [et al.] // PLoS One. 2012. Vol. 7, no. 9. e45536. DOI: 10.1371/journal.pone.0045536.
21. Levi-Aharoni H., Shriki O., Tishby N. Surprise response as a probe for compressed memory states // PLOS. Computational Biology. 2020. Vol. 16, no. 2. e1007065. DOI: 10.1371/journal.pcbi.1007065.