Pirogov University’s Bulletin of medical psychology and social work
  • Issue 1, 2026
    Topic Proceedings of the II All-Russian Scientific and Practical Conference with International Participation "Brain and Intelligence"
    Contents Download
  • Issue 2, 2024
    Topic Brain and Intelligence
    Contents Download
  • Issue 4, 2025
    Topic Proceedings of the II All-Russian Scientific and Practical Conference with International Participation "Brain and Intelligence"
    Contents Download

New articles

Original research Features of the emotional-personal sphere and communicative activity of children with severe speech impairments
Erokhina VA, Stepanova VA, Belugina V
Severe speech impairment is considered a common problem among preschoolers and elementary school students with disabilities. Such speech disorders can hinder a child's full development, as well as interfere with socialization and productive learning. This article presents the results of a study examining the characteristics of emotional response, recognition, and communicative activity in children with severe speech impairments. A comparative analysis of the results of emotional-personal diagnostics was conducted for children with severe speech impairments and children with typical development. The study results show that subjects with severe speech impairments exhibit a statistically significant decrease in the level of emotion recognition and communicative activity compared to children with typical development. With age, the severity of emotional-personal disorders in children with severe speech impairments decreases: the level of recognition of emotions in others increases; anxiety decreases; and the level of communicative activity increases. Hypotheses are put forward regarding the causes of the identified characteristics and differences in the compared groups of children within the framework of the concept of patterns of mental development in children with severe speech impairments.
Received: 2025-09-20
Published online: 2026-02-10
DOI: 10.24075/vmedpsy.2025–04.06
Comments 0
VIEWS 64
Original research Testing a speech rehabilitation brain-computer interface for use in clinical settings
Protopova МA, Gorshkov GI, Schalk G, Dragoy ОV
This study presents the results of a pilot study of the potential use of a portable low-channel EEG system for recording and discriminating brain states. The work consists of two stages: 1) comparing different EEG recording configurations (with and without conductive gel), 2) developing and testing a speech rehabilitation paradigm using the optimal configuration (based on the first stage). We demonstrated that recordings without gel significantly impede EEG pattern classification accuracy. Then, using the word-picture matching paradigm developed in our laboratory, we examined evoked responses and the feasibility of distinguishing them using machine learning methods. We found that the word-picture matching paradigm elicits a distinct evoked potential in the EEG of healthy participants. Furthermore, to minimize the classifier calibration time for each individual participant, we attempted to pretrain the classifier using data from independent participants. However, pretraining the classifier did not lead to a significant improvement in classification performance. Although further improvement is required to increase classification performance, this pilot study is one of the few aimed at the practical application of these results in rehabilitation practice.
Received: 2024-09-30
Published online: 2026-02-10
DOI: 10.24075/vmedpsy.2026–01.05
Comments 0
VIEWS 55
Original research Network Organization of Psychophysiological Mechanisms of Visual Working Memory and Fluid Intelligence
Demkina EI, Mikheikin ME, Gorshkova TA, Alekseeva VM, Tarasova DM, Mitiureva DG, Skripkina SM, Abrosimova VD, Kiselnikov AA
The study employed EEG network analysis to investigate the relationship between the brain’s functional organization, visual working memory and fluid intelligence. Network metrics were assessed at the global, meso-, and local levels. A machine learning model reliably estimated fluid intelligence, demonstrating the predictive value of the brain’s network architecture.
Received: 2025-08-31
Published online: 2026-02-10
DOI: 10.24075/vmedpsy.2026–01.04
Comments 0
VIEWS 59
History of medicine Zhanna Markovna Glozman. Science and Life
Soboleva AE
he article is dedicated to the memory of Professor Zhanna Markovna Glozman, Doctor of Psychology, research advisor of the A.R. Luria Research Center of Developmental Neuropsychology. The author provides an overview of her work and discusses the implementation of Russian scientific theories in the practical activities of the center for special education.
Received: 2025-09-02
Published online: 2026-02-10
DOI: 10.24075/vmedpsy.2026–01.03
Comments 0
VIEWS 58
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Popular articles

Original research Features of the emotional-personal sphere and communicative activity of children with severe speech impairments
Erokhina VA, Stepanova VA, Belugina V
Severe speech impairment is considered a common problem among preschoolers and elementary school students with disabilities. Such speech disorders can hinder a child's full development, as well as interfere with socialization and productive learning. This article presents the results of a study examining the characteristics of emotional response, recognition, and communicative activity in children with severe speech impairments. A comparative analysis of the results of emotional-personal diagnostics was conducted for children with severe speech impairments and children with typical development. The study results show that subjects with severe speech impairments exhibit a statistically significant decrease in the level of emotion recognition and communicative activity compared to children with typical development. With age, the severity of emotional-personal disorders in children with severe speech impairments decreases: the level of recognition of emotions in others increases; anxiety decreases; and the level of communicative activity increases. Hypotheses are put forward regarding the causes of the identified characteristics and differences in the compared groups of children within the framework of the concept of patterns of mental development in children with severe speech impairments.
Received: 2025-09-20
Published online: 2026-02-10
DOI: 10.24075/vmedpsy.2025–04.06
Comments 0
VIEWS 64
Original research Network Organization of Psychophysiological Mechanisms of Visual Working Memory and Fluid Intelligence
Demkina EI, Mikheikin ME, Gorshkova TA, Alekseeva VM, Tarasova DM, Mitiureva DG, Skripkina SM, Abrosimova VD, Kiselnikov AA
The study employed EEG network analysis to investigate the relationship between the brain’s functional organization, visual working memory and fluid intelligence. Network metrics were assessed at the global, meso-, and local levels. A machine learning model reliably estimated fluid intelligence, demonstrating the predictive value of the brain’s network architecture.
Received: 2025-08-31
Published online: 2026-02-10
DOI: 10.24075/vmedpsy.2026–01.04
Comments 0
VIEWS 59