Original software package for psychophysiological and cognitive functions analysis of children
https://doi.org/10.46563/1560-9561-2021-24-5-300-310
EDN: diisnr
Abstract
Psychometry plays an important role when determining the state of psychophysiological and cognitive functions in children of different ages.
Goal. To deliver an original software package for a psychophysiological computer complex (PCC) “Psychomat” for implementing an online analysis of psychophysiological and cognitive functions in children of different ages.
Materials and methods. One hundred eighty-four conditionally healthy school children aged 6 to 17 years were examined using a set of psychophysiological tests and original methods for evaluating higher mental functions (24 tests, 66 parameters).
Results. An original software package as the computer psychophysiological complex “Psychomat” was elaborated. The norm base was determined. Also, the testing mechanism and scoring system in points for psychophysiological functions assessment were developed. Thus, it became possible to establish the patterns of cognitive and psychophysiological functions development at different ages.
Conclusion. This newly created software package can be used as a test system for mass examination of children of different ages.
Contributions:
Uvakina E.V., Kuzenkova L.M. — concept and design of the research;
Uvakina E.V., Popovich S.G. — collection and processing of materials, text writing;
Kuzenkova L.M. — editing.
All coauthors — approval of the final version of the article, responsibility for the integrity of all its parts.
Acknowledegment. The study had no sponsorship.
Conflict of interest. The authors declare no conflict of interest.
Received: October 12, 2021
Accepted: October 28, 2021
Published: November 15, 2021
About the Authors
Evgeniya V. Uvakina
National Medical Research Center for Children’s Health
Russian Federation
Russian Federation
MD, Doctor at the Department of psychoneurology and psychosomatic pathology at the National Medical Research Center for Children’s Health
e-mail: uvakina.ev@nczd.ru
Lyudmila M. Kuzenkova
National Medical Research Center for Children’s Health
Russian Federation
Russian Federation
Sofiya G. Popovich
National Medical Research Center for Children’s Health
Russian Federation
Russian Federation
References
1. Byrd D., Arentoft A., Scheiner D., Westerveld M., Baron I.S. State of multicultural neuropsychological assessment in children: current research issues. Neuropsychol. Rev. 2008; 18(3): 214–22. https://doi.org/10.1007/s11065-008-9065-y
2. Hüsser A., Fourdain S., Gallagher A. Neuropsychologic assessment. Handb. Clin. Neurol. 2020; 174: 239–49. https://doi.org/10.1016/B978-0-444-64148-9.00017-X
3. Brooks B.L., Iverson G.L., Sherman E.M., Roberge M.C. Identifying cognitive problems in children and adolescents with depression using computerized neuropsychological testing. Appl. Neuropsychol. 2010; 17(1): 37–43. https://doi.org/10.1080/09084280903526083
4. Plourde V., Hrabok M., Sherman E.M.S., Brooks B.L. Validity of computerized cognitive battery in children and adolescents with neurological diagnoses. Arch. Clin. Neuropsychol. 2018; 33(2): 247–53. https://doi.org/10.1093/arclin/acx067
5. Young A.G., Shtulman A. Children’s cognitive reflection predicts conceptual understanding in science and mathematics. Psychol. Sci. 2020; 31(11): 1396–408. https://doi.org/10.1177/0956797620954449
6. Green P., Horton A.M.Jr. Introduction to special issue on effort testing in children and adolescents. Appl. Neuropsychol. Child. 2020; 9(4): 290–1. https://doi.org/10.1080/21622965.2020.1750105
7. Combs T., Beebe D.W., Austin C.A., Gerstle M., Peugh J. Changes in child functioning pre-to post-neuropsychological evaluation. Child Neuropsychol. 2020; 26(5): 711–20. https://doi.org/10.1080/09297049.2019.1702155
8. Hyseni F., Blanken L.M.E., Muetzel R., Verhulst F.C., Tiemeier H., White T. Autistic traits and neuropsychological performance in 6- to-10-year-old children: a population-based study. Child Neuropsychol. 2019; 25(3): 352–69. https://doi.org/10.1080/09297049.2018.1465543
9. Wild K., Howieson D., Webbe F., Seelye A., Kaye J. The status of computerized cognitive testing in aging: A systematic rewiew. Alzheimers Dement. 2008; 4(6): 428–37. https://doi.org/10.1016/j.jalz.2008.07.003
10. Smirnov I.E., Nechaeva N.L., Kucherenko A.G., Kuzenkova L.M. Risk factors and markers of endothelial dysfunction in children with the history of the acute cerebral circulation disorder. Rossiyskiy pediatricheskiy zhurnal. 2014; 17(1): 9–14. (in Russian)
11. Rosenqvist J., Lahti-Nuuttila P., Urgesi C., Holdnack J., Kemp S.L., Laasonen M. Neurocognitive functions in 3- to 15-year-old children: An international comparison. J. Int. Neuropsychol. Soc. 2017; 23(4): 367–80. https://doi.org/10.1017/S1355617716001193
12. Theunissen M.H.C., de Wolff M.S., Deurloo J.A., Vogels A.G.C., Reijneveld S.A. Computerized adaptive testing to screen children for emotional and behavioral problems by preventive child healthcare. BMC Pediatr. 2020; 20(1): 119. https://doi.org/10.1186/s12887-020-2018-1
13. Luciana M., Nelson C.A. Assessment of neuropsychological function through use of the Cambridge Neuropsychological Testing Automated Battery: performance in 4- to 12-year-old children. Dev. Neuropsychol. 2002; 22(3): 595–624. https://doi.org/10.1207/S15326942DN2203_3
14. Gualtieri C.T., Johnson L.G. Reliability and validity of a computerized neurocognitive test battery, CNS Vital Signs. Arch. Clin. Neuropsychol. 2006; 21(7): 623–43. https://doi.org/10.1016/j.acn.2006.05.007
15. Ivanyushkin A.Ya., Popova O.V., Smirnov I.E. Legal and sociocultural problems of legitimizing a new criterion of death («brain death») in domestic pediatrics. Rossiyskiy pediatricheskiy zhurnal. 2017; (5): 294–300. https://doi.org/10.18821/1560-9561-2017-20-5-294-300 (in Russian)
16. Brooks B.L., Plourde V., Fay-McClymont T.B., MacAllister W.S., Sherman E.M.S. Factor structure of the CNS Vital Signs computerized cognitive battery in youth with neurological diagnoses. Child Neuropsychol. 2019; 25(7): 980–91. https://doi.org/10.1080/09297049.2019.1569609
17. Majerus S. Cognitive remediation for neurodevelopmental disabilities. Handb. Clin. Neurol. 2020; 174: 357–67. https://doi.org/10.1016/B978-0-444-64148-9.00026-0
18. Ross S.A., Allen D.N., Goldstein G. Factor structure of the Halstead-Reitan Neuropsychological Battery for children: a brief report supplement. Appl. Neuropsychol. Child. 2014; 3(1): 1–9. https://doi.org/10.1080/21622965.2012.695882
19. Astaeva A.V., Malkova A.A. Analysis of modern computerized diagnostic and correction programs in children’s neuropsychology. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta: Seriya «Psikhologiya». 2018; 11(4): 39–47. https://doi.org/10.14529/psy180405 (in Russian)
20. Kochhann R., Gonçalves H.A., Pureza J.D.R., Viapiana V.F., Fonseca F.D.P., Salles J.F., et al. Variability in neurocognitive performance: Age, gender, and school-related differences in children and from ages 6 to 12. Appl. Neuropsychol. Child. 2018; 7(3): 277–85. https://doi.org/10.1080/21622965.2017.1312403
21. Viktorov V.A., Matveev E.V. Devices and Complexes for Psychophysiological Research. Research, Development, Application [Pribory i kompleksy dlya psikhofiziologicheskikh issledovaniy. Issledovaniya, razrabotka, primenenie]. Moscow; 2002. (in Russian)
22. Balkanskaya S.V. Cognitive functions in epilepsy in children: clinical, laboratory and instrumental parallels. Al’manakh klinicheskoy meditsiny. 2005; (8-3): 52–9. (in Russian)
23. Smirnov I.E., Stepanov A.A., Shakina L.D., Belyaeva I.A., Bombardirova E.P., Kucherenko A.G. Neurologic manifestations of cerebral ischemia in infants at 1 year of age. Rossiyskiy pediatricheskiy zhurnal. 2016; 19(5): 274–82. https://doi.org/10.18821/1560-9561-2016-19(5)-274-282 (in Russian)
24. Brooks B.L., Low T.A., Daya H., Khan S., Mikrogianakis A., Barlow K.M. Test or rest? Computerized cognitive testing in the emergency department after pediatric mild traumatic brain injury does not delay symptom recovery. J. Neurotrauma. 2016; 33(23): 2091–96. https://doi.org/10.1089/neu.2015.4301
25. Rosa V.O., Schmitz M., Moreira-Maia C.R., Wagner F., Londero I., Bassotto C.F., et al. Computerized cognitive training in children and adolescents with attention deficit/hyperactivity disorder as add-on treatment to stimulants: feasibility study and protocol description. Trends Psychiatry Psychother. 2017; 39(2): 65–76. https://doi.org/10.1590/2237-6089-2016-0039
26. Podkletnova T.V., Kuzenkova L.M., Alekseeva E.I. Psychoneurological aspects of juvenile rheumatoid arthritis. Voprosy sovremennoy pediatrii. 2009; 8(1): 46–51. (in Russian)
27. Stadskleiv K., Jahnsen R., Andersen G.L., von Tetzchner S. Neuropsychological profiles of children with cerebral palsy. Dev. Neurorehabil. 2018; 21(2): 108–20. https://doi.org/10.1080/17518423.2017.1282054
28. Weiss S.J., Blackwell M.C., Griffith K.M., Jordan L.S., Culotta V.P. Performance validity testing in children and adolescents: A descriptive study comparing direct and embedded measures. Appl. Neuropsychol. Child. 2019; 8(2): 158–62. https://doi.org/10.1080/21622965.2017.1413982
29. Kuchma V.R., Sukhareva L.M., Nadezhdin D.S., Sakharov V.G. The study of the psychophysiological and psychosocial characteristics of 9-11th grade students of secondary school. Rossiyskiy pediatricheskiy zhurnal. 2017; 20(6): 346–53. https://doi.org/10.18821/1560-9561-2017-20-6-346-353 (in Russian)
30. Smirnov I.E., Ivanyushkin A.Ya., Smirnov V.I., Polyakov S.D. High performance sport in terms of bioethics. Rossiyskiy pediatricheskiy zhurnal. 2014; 17(1): 53–9. (in Russian)
31. Shapovalenko I.V. Developmental Psychology and Age Psychology [Psikhologiya razvitiya i vozrastnaya psikhologiya]. Moscow: Yurayt; 2016. (in Russian)
32. Glantz S.A. Primer of Biostatistics. New-York: McGraw-Hill; 1994.
33. Luriya A.R. Fundamentals of Neuropsychology: Textbook for Students of Higher Educational Institutions [Osnovy neyropsikhologii. Uchebnoe posobie dlya studentov vysshikh uchebnykh zavedeniy]. Moscow: Akademiya; 2003. (in Russian)
34. Kuchma V.R., Sukhareva L.M., Nadezhdin D.S., Sakharov V.G. Comparative analysis of the psychophysiological development of adolescents. Rossiyskiy pediatricheskiy zhurnal. 2015; 18(2): 23–7. https://doi.org/10.18821/1560-9561-2015-18-2-23-27 (in Russian)
Review
For citations:
Uvakina E.V., Kuzenkova L.M., Popovich S.G. Original software package for psychophysiological and cognitive functions analysis of children. Russian Pediatric Journal. 2021;24(5):300-310. (In Russ.) https://doi.org/10.46563/1560-9561-2021-24-5-300-310. EDN: diisnr
Views:
42
Email this article 