Psikhologicheskie Issledovaniya • ISSN 2075-7999
peer-reviewed • open access journal
      

 

2019 Vol. 12 Issue 63

Sergienko A.A., Khromov A.I., Zvereva N.V. The results of clustering the data of the neuropsychological study and comparing them with the data of electroencephalography in children and adolescents with mental disorders


SERGIENKO A.A., KHROMOV A.I., ZVEREVA N.V. THE RESULTS OF CLUSTERING THE DATA OF THE NEUROPSYCHOLOGICAL STUDY AND COMPARING THEM WITH THE DATA OF ELECTROENCEPHALOGRAPHY IN CHILDREN AND ADOLESCENTS WITH MENTAL DISORDERS
Full text in Russian: Сергиенко А.А., Хромов А.И., Зверева Н.В. Результаты кластеризации данных нейропсихологического исследования и сопоставление их с данными электроэнцефалографии у детей и подростков с психическими расстройствами

Mental Health Research Center, Moscow, Russia
Moscow State University of Psychology and Education, Moscow, Russia

About authors
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The results of clustering data from a neuropsychological analysis of a neurocognitive deficit in a group of mentally ill children and adolescents are presented. The profiles of neurocognitive deficiency are compared with the data of electroencephalography in the resulting clusters. The study involved 73 patients (50 boys and 23 girls). The average age of the examined was 11,3 ± 2,3 years. Diagnoses (according to ICD-10): F21, F20.8, F23, F20.x, F84.x, F4x, F9x, F3x, F06. Based on the data of neuropsychological qualitative and quantitative analysis by the clustering method (hierarchical cluster analysis), groups of mentally ill children and adolescents that are "homogeneous" in structure of neurocognitive deficit have been identified. The nosological (diagnostic) composition and profiles of the neurocognitive deficit of obtained clusters are described. The main parameters of the neurocognitive deficit that distinguish the obtained clusters are determined. The profiles of neurocognitive deficit are compared with the data of electroencephalography (EEG) in the obtained clusters. Partial correspondence of the selected clusters with a number of diagnostic clinical groups was obtained. A significant difference between the selected clusters was found in specific types of brain dysfunctions and their severity. The main structures of the brain, the functional state of which (the severity of dysfunction) influences the entry of a particular patient into a particular cluster (predictors of differences between clusters), are highlighted. These include: parietal-temporal-occipital zones of the right and left hemispheres, premotor and prefrontal frontal regions of the left hemisphere, occipital zones of the right hemisphere. Patterns of distribution of functional deficiency at the level of subcortical structures within and between clusters were found. Dysfunction of subcortical structures is characteristic of all groups, while in clusters different ratios of its severity are revealed.

Keywords: childhood schizophrenia, neurocognitive deficits, neuropsychological diagnostics, neurocognitive dysfunction, clustering of neuropsychological data

 

Conclusions

1) Clusterization of the data of neuropsychological qualitative analysis enabled distinguishes 5 clusters, which differ in the specifics of neurocognitive deficit in children and adolescents with mental disorders.

2) The obtained clusters are partially related with diagnostic clinical groups (e.g., F20.8, F3x, F4x, F5x, F06). Patients diagnosed with F84.x are evenly distributed over three clusters, two of which correspond to the distribution of patients with F20.8. Such a distribution correlates with modern concepts of autism spectrum disorders and identifies patients with different syndromes.

3) The obtained clusters are most distinguished by specific types of brain dysfunctions and their severity. The main structures of the brain, the functional state of which (the severity of dysfunction) has the most influence on the assignment of a particular patient to a particular cluster, are determined (predictors of differences between clusters): parietal-temporal-occipital zone (TPO) of the right and left hemispheres, posterior-frontal regions, prefrontal frontal regions, occipital departments of the right hemisphere.

4) The specificity of the distribution of functional deficiency at the level of subcortical structures within and between clusters has been revealed. Dysfunction of subcortical structures is typical for all groups, but in varying degrees of severity and in a different ratio of functional disorders of the median and deep subcortical structures.


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Received 13 November 2018. Date of publication: 26 February 2019.

About authors

Sergienko Aleksej A. Ph.D., Senior  Research Associate, Department of Medical Psychology, Mental Health Research Center, Kashirskoye sh., 34, 115230 Moscow, Russia; Associate Professor, Moscow State University of Psychology and Education, ul. Sretenka, 29, 127051 Moscow, Russia.
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Khromov Anton I. Ph.D., Senior  Research Associate, Department of Medical Psychology, Mental Health Research Center, Kashirskoye sh., 34, 115230 Moscow, Russia; Head of the Department of Neuro and Pathopsychology, Moscow State University of Psychology and Education, ul. Sretenka, 29, 127051 Moscow, Russia.
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Zvereva Natalia V. Ph.D., Leading Research Associate, Department of Medical Psychology, Mental Health Research Center, Kashirskoye sh., 34, 115230 Moscow, Russia; Professor, Moscow State University of Psychology and Education, ul. Sretenka, 29, 127051 Moscow, Russia.
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Suggested citation

Sergienko A.A., Khromov A.I., Zvereva N.V. The results of clustering the data of the neuropsychological study and comparing them with the data of electroencephalography in children and adolescents with mental disorders. Psikhologicheskie Issledovaniya, 2018, Vol. 12, No. 63, p. 4. http://psystudy.ru (in Russian, abstr. in English).

Permanent URL: http://psystudy.ru/index.php/eng/2019v12n63e/1682-zvereva63e.html

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