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

Author:

Koreev A.A.1ORCID,Zakharova M.N.2ORCID,Kurgansky A.V.2ORCID,Lomakin D.I.3ORCID,Machinskaya R.I.4ORCID

Affiliation:

1. Lomonosov Moscow State University

2. Institute of Developmental Physiology, Russian Academy of Education

3. Institute of Developmental Physiology

4. Institute of Age Physiology of the Russian Academy of Education

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.

Funder

Russian Foundation for Basic Research

Publisher

Federal State-Financed Educational Institution of Higher Education Moscow State University of Psychology and Education

Reference32 articles.

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.).

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3