Pirogov University’s Bulletin of medical psychology and social work

Pirogov University’s Bulletin of medical psychology and social work

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Issue 2, 2024

Topic Brain and Intelligence

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New articles

Razuvaeva TN, Shitikova EV

Actualization of human potential, its continuous self-development and improvement in the rapidly changing social, economic, technological, political space set new benchmarks for the state youth policy, associated, on the one hand, with the identification of personal resources, on the other hand, with improving their quality, which directs close attention to the development of appropriate conditions primarily in the educational space, which determines and directs the situation In this regard, the focus of the educational space on the actualization of the scientific potential of students, the development of their skills and skills of research activity, which requires a special organization of thought activity of students, focused on innovation and creativity. This fact has determined the problem of current research, which is to study the nature of the influence of innovation-oriented mental activity on the development of an individual’s scientific potential. The purpose of research is to study the specifics of the influence of innovation-oriented mental activity on the development of an individual’s scientific potential. The research objective is to study the specifics of the influence of innovation-oriented thinking activity on the development of scientific potential of personalityт. The study used the method of ascertaining experiment, during which the distinctive characteristics in the manifestation of the scientific potential of students’ personalities depending on the level of education were studied and comprehended, the resources for updating this phenomenon were identified, and the influence of the parameters of innovation-oriented mental activity of students on their scientific potential was shown. The sample consisted of 233 respondents, including 110 high school students and 123 university students, of whom 59% were female and 41% were male, the average age of the respondents was 17.4 years. The obtained empirical results were processed in the program "IBM SPSS Statistics 23" using nonparametric criteria of Kruskal–Wallis, Mann–Whitney, Spearman, Wilcoxon signed-rank test and multiple regression analysis. Results: 1) students with more pronounced scientific potential of personality are characterized by a tendency to theoretical thinking, creative approach to solving problem-solving tasks, development of innovation-oriented ideas, in contrast to students with unexpressed or poorly developed scientific potential of personality; 2) parameters of scientific potential of personality are manifested unevenly at different levels of education: the resources of development in high school students are indicators of motivational component of scientific potential of personality, in university students strengthened the scientific potential of personality; 3) parameters of scientific potential of personality are manifested unevenly at different levels of education. Conclusion: innovation-oriented thinking activity is a psychological condition for the development of scientific potential of the personality.

Received: 2024-09-10

Published online: 2025-01-08

DOI: 10.24075/vmedpsy.2024–02.01

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VIEWS 174

Zinchenko ED, Goryacheva TG

The article presents the results of a pilot study aimed at comparative analysis of the results of neuropsychological tests aimed at studying perception, attention processes and memory of children with autism and children without this diagnosis.

Received: 2024-11-03

Published online: 2025-01-06

DOI: 10.24075/vmedpsy.2024–02.07

Comments 0

VIEWS 185

Bykov VV, Kazymaev SA

This paper considers the possibility of using artificial intelligence for differential diagnosis of normal aging, mild cognitive impairment, Parkinson's disease and dementia. The study analyzed 77 protocols of ACE-III neuropsychological examination and applied modern methods of statistical analysis, machine learning and data processing. The results showed that the machine learning model has an average level of accuracy but needs to be improved to increase its effectiveness in diagnosing some groups of patients. The research emphasizes the prospects of developing machine learning models for differential diagnostics based on ACE-III, however, it points out the need for additional features for more accurate diagnosis of certain diseases.

Received: 2024-11-03

Published online: 2025-01-06

DOI: 10.24075/vmedpsy.2024–02.06

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VIEWS 188

Tareev GlebI, Yalamov AS

Frontal dysfunctions are frequent pathologies in the neurodegenerative diseases development such as Alzheimer's disease, mental debility, encephalopathy and cerebrovascular diseases. For this reason, it is necessary to develop methods of rehabilitation for such patients. This paper proposes the method of an appeal to the social situation of rehabilitation as a field to implement means of compensation for violations of executive function and programming and control of arbitrary activity. In this paper we demonstrate the dynamics of rehabilitation of the patient with such violations, give examples of possible means provided by a specialist (e.g. schemes of an indicative basis of action for performing household and professional tasks), and describe the possibility of relatives engagement into the rehabilitation process in order to control the use of these means and to internalize them by the patient themselves in the future, using the method of content-analysis.

Received: 2024-11-13

Published online: 2025-01-06

DOI: 10.24075/vmedpsy.2024–02.05

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VIEWS 170

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Popular articles

Khamenehi N, Tokarskaya LV

Sensation is essential for human perception and understanding of the environment, underpinning complex cognitive functions. This study examines sensory integration (SI) in children with Autism Spectrum Disorder (ASD) and mild intellectual disabilities (ID) aged 6-12. We compare three assessment methods: the Sensory Integration and Praxis Tests (SIPT), Sensory Profile, and Sensory Processing Measure 2nd Edition (SPM-2). Each method's efficacy in identifying sensory processing challenges was evaluated. Results indicated that children with ASD exhibited significant difficulties in auditory, vestibular, and touch processing compared to the ID group. Although the SIPT is considered a gold standard, its complexity may limit effectiveness for children with ASD. The Sensory Profile emerged as the most comprehensive tool for assessing visual perception and sensory processing patterns, emphasizing the need for tailored interventions. The findings highlight the importance of early screening and individualized assessment tools in promoting adaptive development and addressing sensory integration challenges in clinical practice.

Received: 2024-10-06

Published online: 2025-01-05

DOI: 10.24075/vmedpsy.2024–02.02

Comments 0

VIEWS 198

Bykov VV, Kazymaev SA

This paper considers the possibility of using artificial intelligence for differential diagnosis of normal aging, mild cognitive impairment, Parkinson's disease and dementia. The study analyzed 77 protocols of ACE-III neuropsychological examination and applied modern methods of statistical analysis, machine learning and data processing. The results showed that the machine learning model has an average level of accuracy but needs to be improved to increase its effectiveness in diagnosing some groups of patients. The research emphasizes the prospects of developing machine learning models for differential diagnostics based on ACE-III, however, it points out the need for additional features for more accurate diagnosis of certain diseases.

Received: 2024-11-03

Published online: 2025-01-06

DOI: 10.24075/vmedpsy.2024–02.06

Comments 0

VIEWS 188