?
Нейропсихические симптомы болезни Паркинсона на немоторной стадии
Кремлевская медицина. Клинический вестник. 2019. № 4. С. 45–56.
Neuropsychiatric symptoms of Parkinson's disease are some of the factors determining the patient's quality of life, but often remain underestimated by clinicians, especially in the prodromal stage, when affective symptoms can be assessed without regard to the neurological disease. Objective: to study the clinical characteristics of affective disorders and their comorbid pathological characteristics, manifesting in the prodromal phase of Parkinson's disease (PD) within 10-15 years before the diagnosis of PD, as well as their effect on adherence to treatment. Materials and methods: 29 patients with diagnosed Parkinson's disease were examined using questionnaires (Toronto alexthymia scale (TAS); Minimult questionnaire; Structured Clinical Interview for DSM-IV Axis II Personality Disorders (SCID-II); Hospital Anxiety and Depression Scale (HADS); Hamilton Scale for Evaluation of Depression (HAM-D)), a clinical psychopathological method with collection of objective information, a neurological examination. Results: premorbid features of cluster C personality disorders were more often diagnosed (48%) in patients with PD. Affective disorders in the prodromal period of PD are represented by the following conditions: dysthymia (13.7%) cyclothymia (6.8%), recurrent depressive disorder (34.4%), single depressive episode (44.8%). Affective disorders in PD are characterized by a late onset, predominance of anxiety, asthenic and apathetic disorders, as well as a high level of alexithymia and somatic symptom disorder.
Сизикова Т. Э., Леонов С. В., Polikanova I., Национальный психологический журнал 2026 Т. 21 № 4 С. 79–89
Background.
The relevance of this study is driven by the rapid increase in anxiety disorders in modern society. According to WHO data from 2021, 359 million people worldwide suffered from anxiety disorders. In psychological practice, there is a growing number of techniques being applied, including those aimed at reducing anxiety, but their effectiveness is not always scientifically proven. Thus, ...
Added: October 6, 2026
Korotkova E., Kulikova S., Lvova O. et al., Pediatric Radiology 2026 P. 1–9
Background
Predicted brain age is a widely used neuroimaging biomarker of brain maturation. However, limited normative pediatric datasets in model training raise concerns about systematic biases when applied to children. This study evaluates the hypothesis of predicted brain age overestimation in typically developing pediatric populations.
Objective
To analyze predicted brain age and brain delta in a large, age- ...
Added: October 3, 2026
Diachkova E., Nikulin D., Кубкин Я. В. et al., American Journal of Respiratory and Critical Care Medicine 2026 Vol. 212
Accurate classification of a patient with pulmonary hypertension (PH) into one of five groups is fundamental for appropriate disease management strategies. The time from disease onset to correct diagnosis is unacceptably long in many cases. Chronic thromboembolic pulmonary hypertension (CTEPH) develops as a consequence of venous thromboemboli, resulting in a more pronounced hereditary predisposition to ...
Added: September 23, 2026
Merzenina A., Логос 2026 Т. 35 № 2 С. 73–102
The article examines the functioning of digital communication in the era of semiocapitalism (F. Berardi) and hyperrealism (J. Baudrillard), as well as its influence on the psycho-social situation of the modern subject (based on the psychoanalysis of J. Lacan). Obsessive neurosis, aggressiveness and depression are considered by the author not only as the dominant mental ...
Added: September 21, 2026
Kang J., Kim H. J., Kim M. S. et al., Nature Medicine 2026 No. 32 P. 527–544
Added: September 9, 2026
Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 Article 111284
Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...
Added: September 2, 2026
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
Elena A. Andresyuk, Natalya O. Porozova, Londaridze G. et al., Frontiers in Oncology 2026 Vol. 16 Article 1875861
Inhibition of the PD-1/PD-L1 axis has become a clinical standard across multiple malignancies, yet durable benefit remains restricted to selected settings, and many biologically rational combinations fail to maintain clinical benefit in late-phase evaluation. This structured, registry-derived narrative review, supported by expert-guided interpretation, was designed to identify the most clinically meaningful development directions among strategies ...
Added: July 31, 2026
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
Wang R., He Y., Myachykov A. et al., Neuroimage 2026 Vol. 332 Article 121926
Insomnia disorder (ID) exhibits considerable heterogeneity in neuroimaging findings across studies, and whether functional brain alterations are consistent across resting and task states remains unclear. This study aimed to identify neural dysfunction across states in ID and explore its transcriptomic correlates. ...
Added: July 13, 2026
Shestoperov A. I., Ivchenko A., Fomina E. V., Microgravity Science and Technology 2025 Vol. 37 Article 19
The paper is dedicated to the analysis of medico-biological data obtained during locomotor testing of astronauts. Accurate data interpretation plays a crucial role in locomotion system monitoring, prophylaxis of long-duration spaceflight negative effects and thus in the development of an autonomous medical support system for deep space expeditions. During the locomotor testing the astronaut changes ...
Added: June 26, 2026
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
Alenina E., Kristina Terenteva, Kosonogov V., Frontiers in Neuroscience 2026 Vol. 20 Article 1837154
Anxiety, characterized by pervasive feelings of nervousness and worry, may differentially impact cognitive problem-solving across various domains, including spatial and social contexts. This study investigates the relationship between distinct types of anxiety and cognitive performance, aiming to elucidate the underlying neural mechanisms involved. Sixty participants (54 females, Mage = 22.46, SD = 4.50; 6 males, ...
Added: June 19, 2026
Vasilev R., Savchenko A., Blinov P. et al., Frontiers in Medicine 2026 Vol. 13 Article 1778404
Automated disease screening systems face challenges when applied to multi-class medical image analysis, particularly under severe class imbalance inherent in clinical datasets. Retinal fundus imaging enables non-invasive screening for multiple ocular and systemic diseases simultaneously, yet current automated systems typically assess risk for only a single pathology or a limited disease range. We developed a ...
Added: June 16, 2026
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
ЯКУБЕНКО Т. В., Plotnikov S., Ratio et Natura 2024 № 3 (11) Статья 10
The article presents the results of our own research aimed at studying the prospects of using genetic sequencing technologies to identify the risk of having children with genetic abnormalities. ...
Added: May 21, 2026
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
Alenina E., Kristina Terenteva, Kosonogov V., Behavioral Sciences 2026 Vol. 16 No. 5 Article 806
Anxiety is a multidimensional construct that influences cognitive performance in complex ways, yet its factor structure and domain-specific effects remain unclear. This study examined (1) the psychometric structure of general and specific anxiety measures, (2) their associations with cognitive performance across different domains, and (3) the predictive power of machine learning models in classifying cognitive ...
Added: May 18, 2026
Андрушкевич О. М., Калиновский А. В., Гаврюшин А. В. et al., Нейрохирургия 2026 Т. 28 № 1 С. 33–42
Background. The application of cortical and subcortical stimulation during awake craniotomy mitigates the risk of persistent postoperative speech deficits. However, the functions of some white matter pathways remain inadequately understood, particularly the frontal aslant tract (FAT) of the dominant hemisphere.
Aim. To evaluate the efficacy of cortical and subcortical stimulation techniques in the localization of glial tumors near ...
Added: May 18, 2026
Koch D., Fedorova E., Lyusin D., The Quarterly Journal of Experimental Psychology 2026
Observers’ emotional states may bias the perception of single emotional faces; however, little is known about the similar biases in the perception of face ensembles. In the present study, we explored how observers’ state anxiety influences the perceived average expression intensity of the ensembles of fearful and angry faces. Participants performed the estimation task in ...
Added: May 13, 2026
Garmonova A., Shcheglova D., Камалова Г. Р. et al., Кубанский научный медицинский вестник 2026 Т. 33 № 2 С. 92–110
Introduction. The study analyzes the structure and volume of workload for faculty at Russian medical universities amidst increasing student numbers, rising demands for students' clinical training, scientific output, and continuous professional education. The relevance of the topic stems from the contradiction between official regulatory requirements and the actual excessive workload of medical educators. The aim is to provide ...
Added: April 29, 2026
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
Alenina E., Kosonogov V., Frontiers in Psychology 2026 Vol. 17 Article 1774838
Anxiety is conceptualized variously as a stable trait, a clinical disorder, or a domain-specific worry, yet it remains unclear whether these forms represent a unified construct or distinct phenomena. This theoretical article proposes a dual-structure model, positing that anxiety operates through a general vulnerability factor (aligned with trait anxiety/neuroticism) alongside orthogonal, domain-specific components (e.g., math, ...
Added: April 24, 2026
Krasnov L., Malikov D., Kiseleva M. et al., Journal of Medicinal Chemistry 2026 Vol. 69 No. 8 P. 8838–8851
In this work, we developed a straightforward data-driven approach to predict the cytotoxicity of metal complexes based entirely on their (metal + ligands) composition. To this end, we have manually curated MetalCytoToxDB─a comprehensive experimental database comprising 26,500 IC50 values for 7050 metal complexes against 754 cell lines from 1921 articles. Based on these, machine learning ...
Added: April 23, 2026