• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Articles
  • Mapping affective profiles in depression, burnout, normal sadness, and euthymic state: a self-report screening tool developed through a machine learning approach
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2028
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Mapping affective profiles in depression, burnout, normal sadness, and euthymic state: a self-report screening tool developed through a machine learning approach

Psychiatria Danubina. 2025. Vol. 37. No. 1. P. 237–259.
Trofimov D., Zapriy M., Khomenko A., Sloeva E., Kotilevets I., Smirnova D.

Background: This study investigates impairments in real-life functioning domains among patients with affective disorders (depression and mania), addressing gaps in understanding the relationship between symptom severity and functional outcomes. The research aims to assess real-life functioning domains in clinical populations exhibiting varying degrees of affective disorder severity. Subjects and methods: A cross-sectional study was conducted with 23 outpatients (16 with depression, 7 with mania) and 44 healthy controls. Participants were assessed using the Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS), and Specific Levels of Functioning Scale (SLOF). Statistical analyses included Chi-square tests for functional impairments and Pearson’s correlations to examine associations between symptom severity and functioning. Results: Key findings demonstrate significant functional deficits in depressive patients across all measured domains (physical functioning, personal care, interpersonal relationships, social acceptability, activities, and work skills), with particularly pronounced impairments in physical functioning (Ȥ²=12.25, p<0.001) and personal care skills (universally low scores). Manic patients exhibited comparable domain-specific impairments, though with less pronounced severity differentiation. Notably, symptom severity (measured via HDRS/YMRS scales) showed minimal correlation with functional outcomes, with the exception of an inverse relationship between depression severity and social acceptability (r=-0.56, p<0.03). Limitations include modest sample sizes and cross-sectional design, warranting future longitudinal research with larger cohorts. Conclusions: Affective disorders broadly impair real-life functioning irrespective of symptom severity, except for depression’s inverse relationship with social acceptability. This finding suggests that functional impairments in affective disorders may represent independent disease dimensions rather than simple byproducts of symptom intensity, emphasizing the need for targeted psychosocial interventions alongside symptom management.

Research target: Medical Technologies
Language: English
Full text
Text on another site
Keywords: депрессияdepressionaffective disordersmaniafunctional rehabilitationаффективное расстройствоманияфункциональная реабилитация
Similar publications
Факторная структура русскоязычной версии пересмотренной шкалы детской тревоги и депрессии (RCADS)
Zolotareva A., Социальные науки и детство 2026 Т. 7 № 2 С. 66–77
Context and relevance. Early detection of anxiety and depression symptoms is a priority task for the child and adolescent mental health system. As Russian practice traditionally relies on separate instruments, assessing anxiety and depression in isolation, there is a need for integrated instruments. Objective. To examine the factor structure of the Russian version of the ...
Added: August 4, 2026
Shared environment, shared mechanisms: comparing pathways to mental health outcomes among indigenous youth and youth with other ethnic backgrounds
Arina Bukina, Eritsyan K., Antonova N. et al., Frontiers in Psychology 2026 Vol. 17 Article 1824428
Background:  Numerous studies have shown that indigenous populations experience poorer health outcomes compared to people with other backgrounds. However, the interpretation of these disparities remains challenging due to differences in living conditions and social environments, as well as by potential measurement-related biases. Little is known about whether the underlying mechanisms of mental health outcomes differ between ...
Added: July 15, 2026
Development and validation of the Mental Health Self-Care Scale for the general adult population
Mikhaylova O., Zhyrgalbek J., Sofia Yanis et al., Public Health 2026 Vol. 258 Article 106405
Objectives: To develop and psychometrically validate the Mental Health Self-Care Scale (MHSCS) for assessing mental health self-care behaviours in the general adult population. Study design: Cross-sectional survey. Methods: A 62-item initial pool grounded in the updated Middle Range Theory of Self-Care was refined through expert review (n = 11) and cognitive interviewing (n = 24), then administered to 600 Russian ...
Added: June 25, 2026
Innovations in Information and Decision Sciences. Proceedings of the 13th International Conference on Frontiers in Intelligent Computing: Theory and Applications (FICTA 2025), Volume 4
Springer, 2026.
The book presents the proceedings of the 13th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2024), held at Intelligent Systems Research Group (ISRG), London Metropolitan University, London, United Kingdom, during June 6–7, 2025. Researchers, scientists, engineers and practitioners exchange new ideas and experiences in the domain of intelligent computing theories with ...
Added: June 8, 2026
Brain-Computer Interfaces for Gait Rehabilitation After Stroke A Scoping Review
Mokienko O., Zisman M. A., Bobrov P. et al., American Journal of Physical Medicine and Rehabilitation 2026 Vol. 105 No. 6 P. 555–563
Brain-computer interfaces (BCIs) represent a promising technology for restoring lower limb motor functions and gait after stroke. The application of BCIs in this field is supported by a limited number of studies. The objective of the review was to systematically and critically evaluate the current evidence on the use of BCIs for lower limb function ...
Added: May 28, 2026
Overcoming the Curse of Dimensionality with Synolitic AI
Zaikin A., Sviridov I., Sosedka A. et al., Technologies 2026 Vol. 14 No. 2 Article 84
High-dimensional tabular data are common in biomedical and clinical research, yet conventional machine learning methods often struggle in such settings due to data scarcity, feature redundancy, and limited generalization. In this study, we systematically evaluate Synolitic Graph Neural Networks (SGNNs), a framework that transforms high-dimensional samples into sample-specific graphs by training ensembles of low-dimensional pairwise ...
Added: May 23, 2026
Влияние стресс-факторов городской среды на психическое здоровье: обзор зарубежных исследований
Кияненко И. К., Клиническая и специальная психология 2026 Т. 15 № 1 С. 7–19
Context and relevance. The problem of the impact of urban stress factors on mental health is becoming increasingly relevant in the context of urbanization. Living in cities is accompanied by increased psychophysiological stress, which leads to an increase in the prevalence of mental disorders among urban residents. Objective. The purpose of the article is to ...
Added: May 19, 2026
uPAR deficiency triggers TGFβ1-mediated fibrotic remodeling in a cardiac perivascular-like microenvironment
Goltseva Y., Tsokolaeva Z., Beloglazova I. et al., Stem Cell Research and Therapy 2026 Vol. 17 No. 1 Article 112
Background Cardiac fibrosis represents a significant health burden, with endothelial dysfunction and damaged perivascular microenvironment increasingly recognized as key contributors to fibrotic remodeling. The urokinase plasminogen activator receptor (uPAR), a critical component of the urokinase system, plays a pivotal role in vascular remodeling and fibrosis. While prior evidence indicates that uPAR deficiency leads to microvascular dysfunction and perivascular fibrosis, ...
Added: May 19, 2026
Анализ информационного и математического обеспечения для распознавания аффективных состояний человека
Dvoynikova A., Маркитантов М. В., Рюмина Е. В. et al., Информатика и автоматизация (Труды СПИИРАН) 2022 Т. 21 № 6 С. 1097–1144
Аннотация. В статье представлен аналитический обзор исследований в области аффективных вычислений. Это направление является составляющей искусственного интеллекта, и изучает методы, алгоритмы и системы для анализа аффективных состояний человека при его взаимодействии с другими людьми, компьютерными системами или роботами. В области интеллектуального анализа данных под аффектом подразумевается проявление психологических реакций на возбуждаемое событие, которое может протекать ...
Added: April 25, 2026
Self-face viewing attenuates cardiac modulation of corticospinal excitability
Makarova M., Fedosov N., Mikhailova I. et al., FRONTIERS IN SIGNAL PROCESSING 2026 Vol. 6 Article 1776807
Introduction:  While self-referential attention is thought to enhance interoceptive sensitivity, its effect on cardiac modulation of corticospinal excitability remains unexplored. This pilot study investigated how viewing one’s own face (self-face processing) modulates the cardiac-phase coupling of motor output and whether this heart-brain coupling depends on interoceptive accuracy (heartbeat perception). Methods:  In 15 healthy adults, motor-evoked potentials (MEPs) were ...
Added: April 17, 2026
Динамика спектрально-когерентных параметров ЭЭГ в процессе терапии эндогенной депрессии у пациенток молодого возраста
Изнак Е. В., Дамянович Е. В., Береснева А. Ф. et al., Психиатрия 2024 Т. 22 № 6 С. 27–33
Background: the need to study and clarify the neurobiological basis of depression is due to the widespread prevalence and heavy socioeconomic burden of this disease. In order to prevent relapses, it is recommended to continue treatment for depression for a long time after the relief of the main depressive symptoms. The study of neurobiological pathways ...
Added: March 20, 2026
ОСОБЕННОСТИ ЭЭГ У ПАЦИЕНТОК МОЛОДОГО ВОЗРАСТА С ДЕПРЕССИВНЫМИ СОСТОЯНИЯМИ НА РАЗНЫХ ЭТАПАХ ЭНДОГЕННЫХ ПСИХИЧЕСКИХ ЗАБОЛЕВАНИЙ
Изнак А. Ф., Изнак Е. В., Дамянович Е. В. et al., Журнал неврологии и психиатрии им. С.С. Корсакова 2024 Т. 124 № 9 С. 100–103
Objective. To search for neurophysiological correlates of the characteristics of the brain functional state in patients with endogenous depression with an ultra-high risk of developing psychosis in comparison with EEG parameters of patients without symptoms of a risk of developing psychosis and patients who have suffered psychotic episode. Material and methods. The study included 92 ...
Added: March 20, 2026
Особенности базисных симптомов у пациенток молодого возраста с депрессиями в рамках расстройств шизофренического и аффективного спектров
Shishkovskaya T., Олейчик И. В., Баранов П. А., Журнал неврологии и психиатрии им. С.С. Корсакова 2024 Т. 124 № 6 С. 94–100
Objective. To investigate the structure and severity of basic symptoms in young female patients with endogenous depression. Material and methods. One hundred and nineteen female patients, aged from 16 to 26 years, were examined. Three groups were identified: patients meeting the criteria of high risk of psychosis (51 patients, mean age 18.55±3.84 years), patients not ...
Added: March 20, 2026
Когнитивные особенности как факторы риска несуицидальных самоповреждений у пациенток юношеского возраста, страдающих депрессиями с аттенуированной психотической симптоматикой и без нее
Олейчик М. И., Шевченко О. П., Баранова А. К. et al., Психиатрия 2025 Т. 23 № 6 С. 80–91
Background: there is evidence in research studies indicating that it is possible to establish early risk for psychosis by identifying cognitive dysfunction that precedes the development of psychotic states. The role of cognitive dysfunction as psychosis predictors in depressions with non-suicidal self-injury (NSSI) is unclear.The aim was to study the correlation between the severity of ...
Added: March 20, 2026
ДЕПРЕССИИ НА НАЧАЛЬНЫЕ ЭТАПАХ ЭНДОГЕННЫХ ПСИХИЧЕСКИХ РАССТРОЙСТВ
Shishkovskaya T., Олейчик И. В., ООО "Сам полиграфист", 2025.
Учебное пособие подготовлено в соответствии с основными образовательными программами высшего образования: программой подготовки кадров высшей квалификации в ординатуре по специальности «Психиатрия и наркология» и программой подготовки научных и научно-педагогических кадров в аспирантуре по научной специальности «Психиатрия и наркология», реализуемыми в ФГБНУ НЦПЗ в соответствующих дисциплинах. Описана типология депрессий, развивающихся на начальных этапах эндогенных психических расстройств, их ...
Added: March 20, 2026
Интерфейсы мозг–компьютер для восстановления движений руки после инсульта: текущий статус и перспективы разработок (обзор)
Mokienko O., Люкманов Р. Х., Bobrov P. et al., Современные технологии в медицине 2023 Т. 15 № 6 С. 63–73
Brain–computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties of these technologies have been studied in numerous clinical trials for more than 10 years, and their construct and software are constantly being improved. Despite the positive treatment results and the availability of registered medical devices, ...
Added: March 19, 2026
Инвазивные интерфейсы мозг–компьютер: 25 лет клинических испытаний, научные и практические вопросы
Mokienko O., Вестник Российской академии медицинских наук 2024 Т. 79 № 5 С. 424–431
A brain-computer interface (BCI) is a system that measures brain activity and converts it in real-time into functionally useful outputs to replace, restore, enhance, supplement, and/or improve the natural outputs of the brain. In invasive BCIs, electrodes are placed intracranially for more accurate and faster data exchange between the brain and external devices. The primary ...
Added: March 18, 2026
Нейрокомпьютерные интерфейсы с корковыми имплантатами для компенсации двигательной и коммуникативной функций: обзор последних достижений
Mokienko O., Современные технологии в медицине 2024 Т. 16 № 1 С. 78–90
Brain–computer interfaces allow the exchange of data between the brain and an external device, bypassing the muscular system. Clinical studies of invasive brain–computer interface technologies have been conducted for over 20 years. During this time, there has been a continuous improvement of approaches to neuronal signal processing in order to improve the quality of control ...
Added: March 18, 2026
БОС-тренинг в реабилитации пациентов с неврологическими нарушениями при постковидном синдроме: рандомизированное контролируемое исследование
Черкасова А. Н., Иконникова Е. С., Люкманов Р. Х. et al., Анналы клинической и экспериментальной неврологии 2025 Т. 19 № 3 С. 14–26
Introduction. The high prevalence of post-COVID syndrome (PCS), which frequently manifests with emotional disturbances, cognitive impairment, and asthenia, necessitates effective rehabilitation methods. One potential approach is electroencephalography (EEG)-based biofeedback (BFB) therapy, though its use in PCS management has been explored in only a few studies to date. The study aimed to evaluate the effects of EEG α-rhythm BFB ...
Added: March 18, 2026
Нейрокомпьютерные интерфейсы, основанные на регистрации спектроскопии в ближней инфракрасной области и электроэнцефалографии, в постинсультной реабилитации: сравнительное исследование
Mokienko O., Люкманов Р. Х., Bobrov P. et al., Неврология, нейропсихиатрия, психосоматика 2024 Т. 16 № 5 С. 17–23
Motor imagery training under the control of a brain-computer interface (BCI) facilitates motor recovery after stroke. The efficacy of BCI based on electroencephalography (EEG-BCI) has been confirmed by several meta-analyses, but a more convenient and noise-resistant method of near-infrared spectroscopy in the BCI circuit (NIRS-BCI) has been practically unexamined; comparisons of the two types of ...
Added: March 18, 2026
Интерфейс мозг–компьютер, основанный на спектроскопии в ближней инфракрасной области, в двигательной реабилитации после инсульта: описание серии случаев
Люкманов Р. Х., Исаев М. Р., Mokienko O. et al., Анналы клинической и экспериментальной неврологии 2023 Т. 17 № 4 С. 82–88
Introduction. Non-invasive brain–computer interfaces (BCIs) enable feedback motor imagery [MI] training in neurological patients to support their motor rehabilitation. Nowadays, the use of BCIs based on functional near-infrared spectroscopy (fNIRS) for motor rehabilitation is yet to be investigated. Objective: To evaluate the potential fNIRS BCI use in hand MI training for comprehensive post-stroke rehabilitation. Materials ...
Added: March 18, 2026
Потенциал терапевтического применения спектроскопии в ближней инфракрасной области после инсульта (обзор)
Mokienko O., Современные технологии в медицине 2025 Т. 17 № 2 С. 73–85
The advancement of novel technologies for the rehabilitation of post-stroke patients represents a significant challenge for a range of interdisciplinary fields. Near-infrared spectroscopy (NIRS) is an optical neuroimaging technique based on recording local hemodynamic changes at the cerebral cortex level. The technology is typically employed in post-stroke patients for diagnostic purposes, including the assessment of ...
Added: March 18, 2026
Тренировки представления движения и интерфейс мозг-компьютер в когнитивной реабилитации
Лабор В. В., Mokienko O., Черкасова А. Н. et al., Журнал неврологии и психиатрии им. С.С. Корсакова 2025 Т. 125 № 11 С. 27–35
В статье представлен обзор исследований, посвященных применению тренировок представления движения и интерфейсов мозг-компьютер (ИМК) для когнитивной реабилитации пациентов с неврологическими заболеваниями. На основе анализа исследований, опубликованных с 2004 по 2025 г., проведена оценка эффективности данных методов в восстановлении когнитивных функций у пациентов с инсультом (13 исследований), болезнью Паркинсона (4) и рассеянным склерозом (2). Большинство исследований демонстрирует положительное влияние тренировок представления движения на когнитивные функции пациентов с неврологическими заболеваниями и когнитивным дефицитом средней ...
Added: March 18, 2026
Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis
Kodenko M., Vasilev Y., Vladzymyrskyy A. et al., Diagnostics 2022 Vol. 12 No. 12 Article 3197
In this review, we focused on the applicability of artificial intelligence (AI) for opportunistic abdominal aortic aneurysm (AAA) detection in computed tomography (CT). We used the academic search system PubMed as the primary source for the literature search and Google Scholar as a supplementary source of evidence. We searched through 2 February 2022. All studies ...
Added: March 18, 2026
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit