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Experimental Psychology (Russia) - №1 / 2021 | Перейти к описанию
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Experimental Psychology (Russia)

Publisher: Moscow State University of Psychology and Education

ISSN (printed version): 2072-7593

ISSN (online): 2311-7036

DOI: https://doi.org/10.17759/exppsy

License: CC BY-NC 4.0

Started in 2008

Published quarterly

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Prognostic Value of Electroencephalographic and Neuropsychological Indicators of the State of Regulatory Functions of the Brain to Assess The Likelihood of Behavioral Abnormalities in Adolescents 38

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Korneev A.A.
PhD in Psychology, Senior Research Fellow, Laboratory of Neuropsychology, Department of Psychology, Lomonosov Moscow State University, Moscow, Russia
ORCID: https://orcid.org/0000-0001-6389-8215
e-mail: korneeff@gmail.com

Zakharova M.N.
Senior Researcher, Laboratory of Neurophysiology of Cognitive Processes, Institute of Developmental Physiology, Russian Academy of Education, Moscow, Russia
ORCID: https://orcid.org/0000-0001-7539-8269
e-mail: voronova-m@mail.ru

Kurgansky A.V.
Doctor of Biology, Leading Researcher, Laboratory of Neurophysiology of Cognitive Processes, Institute of Developmental Physiology, Russian Academy of Education, Moscow, Russia
ORCID: https://orcid.org/0000-0001-7648-1996
e-mail: akurg@yandex.ru

Lomakin D.I.
Researcher, Laboratory of Neurophysiology of Cognitive Processes, Institute of Developmental Physiology, Moscow, Russia
ORCID: https://orcid.org/0000-0003-0382-8172
e-mail: lomakindima4@gmail.com

Machinskaya R.I.
Doctor of Biology, senior researcher, head of laboratory, Institute of Age Physiology of the Russian Academy of Education, Moscow, Russia
ORCID: https://orcid.org/0000-0001-5846-384X
e-mail: reginamachinskaya@gmail.com

Abstract
The paper presents the results of a prognostic model of the occurrence of deviant behavior based on neurophysiological and neuropsychological indicators of behavioral regulation functions in adolescents. We used data on the state of the regulatory systems of the brain obtained on the basis of EEG analysis, data on the state of brain executive functions (EF), obtained on the basis of a neuropsychological examination, and the results of computer tests aimed at evaluating various components of attention. The study involved 166 adolescents, 69 of them with signs of deviant behavior. Using logistic regression analysis, it was shown that EEG-signs of suboptimal RS performance and evaluation of individual EF components (i.e. the ability to form and maintain an acquired action plan, signs of inertia and perseveration) can be significant predictors of deviant behavior. Computer test results showed poor predictive ability. A general model is also proposed that includes predicted probabilities of adolescents belonging to a group with signs of deviant behavior based on the results of using all three methods. A prognostic accuracy of the model is quite high.

Keywords: adolescents, deviant behavior, EEG, executive functions, logistic regression analysis

Column: Psychophysiology

DOI: https://doi.org/10.17759/exppsy.2021140106

For Reference

Funding

The reported study was funded by Russian Foundation for Basic Research (RFBR), project number 17-06-00837-OGN.

References
  1. Akhutina Vol.V., Korneev A.A., Matveeva E.Yu. et al. Metody neiropsikhologicheskogo obsledovaniya detei 6—9 let [Methods of neuropsychological assessment of children 6—9 years old]. Moskva: V. Sekachev, 2016. (in Russ.).
  2. Akhutina Vol., Kremlev A., Korneev A., Matveeva E., Gusev A. (2017). Razrabotka komp’yuternykh metodik neiropsikhologicheskogo obsledovaniya [The Computerized Battery of Neuropsychological Tests]. In Pechenkova E., Falikman M. (Eds.) Cognitive science in Moscow: new researches. Moscow, 2017. (in Russ.).
  3. Bezrukikh M. M., Farber D. A. Aktual’nye problemy fiziologii razvitiya rebenka [Actual problems of the physiology of child development]. // Novye issledovaniya. 2014. Vol. 40. no3. pp. 4—19. (in Russ.).
  4. Gorbov F.D. Determinatsiya psikhicheskikh sostoyanii [Determination of psychological states] // Voprosy Psihologii. 1971. Vol. 5. pp. 20—29. (in Russ.).
  5. Gut Yu.N., Kabardov M.K. Prirodnye i sotsial’nye faktory deviantnogo povedeniya u podrostkov [Neuropsychological and Social Factors of Deviant Behaviour in Adolescents] // Psikhologыsicheskaya nauka i obrazovanie. 2018. Vol. 23. no 4. pp. 80—90. doi: 10.17759/pse.2018230408 (in Russ.).
  6. Kognitivnaya psikhologiya. Uchebnik dlya vuzov [Cognitive psychology]/ M.:Per Se. 2002. 480 p. (in Russ.).
  7. Dubrovinskaya N.V. Psikhofiziologicheskaya kharakteristika podrostkovogo vozrasta [Psychophysiological Features of Adolescents] //Fiziologiya cheloveka. 2015. Vol. 41. no. 2. pp. 113—122). doi: 10.7868/S013116461502006X (in Russ.).
  8. Machinskaya R.I. Upravlyayushchie sistemy mozga [The brain executive systems] // Zhurnal vysshei nervnoi deiatelnosti imeni IP Pavlova. 2015. Vol. 65. no 1. pp. 33—60. (in Russ.).
  9. Machinskaya R.I., Zakharova M.N., Lomakin D.I. Regulyatornye sistemy mozga u podrostkov s priznakami deviantnogo povedeniya. Mezhdistsiplinarnyi analiz [Brain regulatory functions in adolescents showing signs of deviant behavior. An interdisciplinary analysis]// Fiziologiya cheloveka. 2020. Vol. 46. no 3. pp. 37—55. (in Russ.).
  10. Rean A.A. Faktory riska deviantnogo povedeniya: semeinyi kontekst [Risk factors of deviant behaviour in the family context] // Natsional’nyi psikhologicheskii zhurnal. 2015. no4 (20). pp. 105—110. doi: 10.11621/ npj.2015.0410 (in Russ.).
  11. Semenova O.A., Machinskaya R.I., Lomakin D.I. Vliyanie funktsional’nogo sostoyaniya regulyatornykh sistem mozga na effektivnost’ programmirovaniya, izbiratel’noi regulyatsii i kontrolya kognitivnoi deyatel’nosti u detei. Soobshchenie I. Neiropsikhologicheskii i elektroentsefalograficheskii analiz vozrastnykh preobrazovanii regulyatornykh funktsii mozga v period ot 9 do 12 let [The influence of the functional state of brain regulatory systems on the programming, selective regulation and control of cognitive activity in children: I. Neuropsychological and EEG analysis of age-related changes in brain regulatory functions in children aged 9—12 years] //Fiziologiya cheloveka. 2015. Vol. 41. no. 4. pp. 5—17. doi: 10.7868/S0131164615040128 (in Russ.).
  12.  Fetiskin N.P., Kozlov V.V., Manuilov G.M. Sotsial’no-psikhologicheskaya diagnostika razvitiya lichnosti i malykh grupp [Socio-psychological diagnosis of personality development and small groups]. M.: Izd-vo Instituta Psikhoterapii, 2002. 362 s. (in Russ).
  13. harashova E.E., Kholmatova K.K., Gorbatova M.A., Grzhibovskii A.M. Primenenie mnozhestvennogo logisticheskogo regressionnogo analiza v zdravookhranenii s ispol’zovaniem paketa statisticheskikh programm SPSS [Multivariable logistic regression using spss software in health research]// Nauka i zdravookhranenie. 2017. no. 3. pp. 5—31. (in Russ.).
  14. Blakemore S.J., Choudhury S. Development of the adolescent brain: implications for executive function and social cognition // Journal of child psychology and psychiatry. 2006. Vol 47. no. 3—4. pp. 296—312. DOI: 10.1111/j.1469-7610.2006.01611.x
  15. Casey B.J., Jones R.M. Neurobiology of the adolescent brain and behavior: implications for substance use disorders // Journal of the American Academy of Child & Adolescent Psychiatry. 2010. Vol 49. no. 12. pp. 1189—1201. DOI: 10.1016/j.jaac.2010.08.017
  16. Casey B.J. Tottenham N., Liston C., Durston S. Imaging the developing brain: what have we learned about cognitive development? //Trends in cognitive sciences. 2005. Vol 9. no. 3. pp. 104—110.
  17. Cauffman E., Steinberg L., Piquero A.R. psychological, neuropsychological and physiological correlates of serious antisocial behavior in adolescence: the role of self-control // Criminology. 2005. no. 1 (43). C. 133—176. DOI: 10.1111/j.0011-1348.2005.00005.x
  18. Crone E.A., Dahl R.E. Understanding adolescence as a period of social-affective engagement and goal flexibility //Nature Reviews Neuroscience. 2012. Vol 13. no. 9. pp. 636—650. DOI: 10.1038/nrn3313
  19. Cruz A.R., de Castro-Rodrigues A., Barbosa F. Executive dysfunction, violence and aggression // Aggression and Violent Behavior. 2020. Vol 51. pp. 101380. DOI: 10.1016/j.avb.2020.101380
  20. Dishion Vol.J., Tipsord J.M. Peer contagion in child and adolescent social and emotional development // Annual review of psychology. 2011. Vol 62. pp. 189—214. DOI: 10.1146/annurev.psych.093008.100412
  21. Escario J.J., Wilkinson A.V. Exploring predictors of online gambling in a nationally representative sample of Spanish adolescents //Computers in Human Behavior. 2020. Vol 102. pp. 287—292.
  22. Fairchild G., Hagan C. C., Passamonti L., Walsh N.D., Goodyer I.M., Calder A.J. Atypical neural responses during face processing in female adolescents with conduct disorder //Journal of the American Academy of Child & Adolescent Psychiatry. 2014. Vol 53. no. 6. pp. 677—687. e5.
  23. Hinnant J.B., Forman-Alberti A.B. Deviant peer behavior and adolescent delinquency: Protective effects of inhibitory control, planning, or decision making? //Journal of research on adolescence. 2019. Vol 29. no. 3. pp. 682—695.
  24. MacPherson L., Reynolds E.K., Daughters S.B., Wang F., Cassidy J., Mayes L. C., Lejuez C.W. Positive and negative reinforcement underlying risk behavior in early adolescents //Prevention Science. 2010. Vol. 11. no. 3. pp. 331—342.
  25. Morgan A.B., Lilienfeld S.O. A meta-analytic review of the relation between antisocial behavior and neuropsychological measures of executive function // Clinical Psychology Review. 2000. Vol 20. no. 1. pp. 113—136.
  26. Osborne J.W. Best practices in logistic regression. Los Angeles: Sage Publications, 2014. 488 p.
  27. Reyes A.C., Amador A.A. Qualitative and quantitative EEG abnormalities in violent offenders with antisocial personality disorder //Journal of Forensic and Legal Medicine. 2009. Vol 16. no. 2. pp. 59—63.
  28. Scarpina, F., Tagini, S. The stroop color and word test// Frontiers in psychology. Vol. 8. pp. 557. DOI: 10.3389/fpsyg.2017.00557
  29. Somerville L.H., Casey B.J. Developmental neurobiology of cognitive control and motivational systems // Current opinion in neurobiology. 2010. Vol 20. no. 2. pp. 236—241. DOI: 10.1016/j.conb.2010.01.006
  30. Steinberg L. A dual systems model of adolescent risk-taking //Developmental Psychobiology: The Journal of the International Society for Developmental Psychobiology. 2010. Vol. 52. no 3. pp. 216— 224.
  31. Tian Y., Yu C., Lin S., Lu J., Liu Y., Zhang W. Parental psychological control and adolescent aggressive behavior: deviant peer affiliation as a mediator and school connectedness as a moderator // Frontiers in psychology. 2019. Vol 10. pp. 358.
  32. Vasin G., Lobaskova M., Gindina E. The Youth Self Report: validity of the Russian version // SHS Web Conf. 2016. Vol 29. Art. 02041.
 
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