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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">ejols</journal-id><journal-title-group><journal-title xml:lang="en">The Eurasian Journal of Life Sciences</journal-title><trans-title-group xml:lang="ru"><trans-title>Евразийский журнал наук о жизни</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">3033-5493</issn><issn pub-type="epub">3033-6031</issn><publisher><publisher-name>Сеченовский Университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.47093/3033-5493.2025.1.1.17-31</article-id><article-id custom-type="elpub" pub-id-type="custom">ejols-5</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>The potential possibility of nonlinear recurrence methods application for posttraumatic stress disorder investigation</article-title><trans-title-group xml:lang="ru"><trans-title>Потенциальная возможность применения нелинейных рекуррентных методов для исследования посттравматического стрессового расстройства</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2102-164X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Руннова</surname><given-names>А. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Runnova</surname><given-names>A. E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Анастасия Евгеньевна Руннова, д-р. физ.-мат. наук, зав. кафедрой биофизики и цифровых технологий</p><p>410012, г. Саратов, Большая Казачья улица, д. 112</p></bio><bio xml:lang="en"><p>Anastasiya E. Runnova, MD, Head of the Department of Biophysics and Digital Technologies</p><p>str. Bolshaya Kazachya, 112, Saratov, 410012</p></bio><email xlink:type="simple">a.e.runnova@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3175-895X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сельский</surname><given-names>А. О.</given-names></name><name name-style="western" xml:lang="en"><surname>Selskii</surname><given-names>A. O.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Антон Олегович Сельский, канд. физ.-мат. наук, доцент кафедры физики открытых систем</p><p>410012, г. Саратов, Большая Казачья улица, д. 112</p></bio><bio xml:lang="en"><p>Anton O. Selskii, Candidate of Physical and Mathematical Sciences, Senior Researcher, Institute of Physics</p><p>str. Bolshaya Kazachya, 112, Saratov, 410012</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5535-8921</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Емельянова</surname><given-names>Е. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Emelyanova</surname><given-names>E. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Елизавета Петровна Емельянова, аспирант кафедры физики открытых систем; младший научный сотрудник научно-исследовательской лаборатории "Открытые биосистемы и искусственный интеллект"</p><p>410012, г. Саратов, Астраханская ул., д. 83</p><p>410012, г. Саратов, Большая Казачья улица, д. 112</p></bio><bio xml:lang="en"><p>Elizaveta P. Emelyanova, Postgraduate student, Institute of Physics; junior research, Research Laboratory «Open Biosystems and Artificial Intelligence»</p><p>str. Astrakhanskaya, 83, 410012</p><p>str. Bolshaya Kazachya, 112, Saratov, 410012</p></bio><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0344-4419</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Федонников</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Fedonnikov</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Сергеевич Федонников, Проректор по научной работе</p><p>410012, г. Саратов, Большая Казачья улица, д. 112</p></bio><bio xml:lang="en"><p>Aleksandr S. Fedonnikov, MD, Vice-Rector for Research</p><p>str. Bolshaya Kazachya, 112, Saratov, 410012</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Саратовский государственный медицинский университет имени В.И. Разумовского</institution></aff><aff xml:lang="en"><institution>Saratov State Medical University named after V.I. Razumovsky</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Саратовский национальный исследовательский государственный университет имени Н.Г. Чернышевского; Саратовский государственный медицинский университет имени В.И. Разумовского</institution></aff><aff xml:lang="en"><institution>Saratov State University named after N.G. Chernyshevsky; Saratov State Medical University named after V.I. Razumovsky</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>01</day><month>07</month><year>2025</year></pub-date><volume>1</volume><issue>1</issue><fpage>17</fpage><lpage>31</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Runnova A.E., Selskii A.O., Emelyanova E.P., Fedonnikov A.S., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Руннова А.Е., Сельский А.О., Емельянова Е.П., Федонников А.С.</copyright-holder><copyright-holder xml:lang="en">Runnova A.E., Selskii A.O., Emelyanova E.P., Fedonnikov A.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.eajls.com/jour/article/view/5">https://www.eajls.com/jour/article/view/5</self-uri><abstract><p>This article describes methods of nonlinear physics related to recurrent analysis that may be useful in studying the effect of posttraumatic stress disorder on sleep disorders. Traditional pharmacological and psychotherapeutic approaches widely used to treat post-traumatic stress disorder require longterm and painstaking work, combining the joint efforts of clinical specialists and the patient. The versatility and variability of the clinical picture of this disease makes the diagnosis and treatment of post-traumatic stress disorder syndromes particularly difficult. In particular, only in International Classification of Diseases 11th Revision was complex post-traumatic stress disorder isolated from the general group of dissociative disorders. However, one of the few unifying characteristics for such patients is significant disruption of night sleep. Currently, mathematical methods, pumped from nonlinear physics, are often used to analyze physiological signals and assess the condition of patients with various diseases, including depression, chronic migraines, and apnea syndrome. However, recurrent analysis has not been used to date in the study of post-traumatic stress disorder. We are confident, based on the successful application of this method to the study of patients with migraines, orthodontic disorders, and sleep disorders, that this is a major omission and scientists working on the problem of post-traumatic stress disorder should pay close attention to the methods proposed in this article for a comprehensive study of the problem. Careful application of the proposed methods will undoubtedly contribute to the study of the effect of various psychiatric diseases on sleep, including posttraumatic stress disorder, and will help to develop more advanced methods of gentle rehabilitation.</p></abstract><trans-abstract xml:lang="ru"><p>В данной статье описаны методы нелинейной физики, основанные на рекуррентном анализе, которые могут быть применяться для изучения влияния посттравматического стрессового расстройства на нарушения сна. Традиционные фармакологические и психотерапевтические подходы, которые используются при лечении посттравматического стрессового расстройства, требуют длительной и кропотливой работы, объединяющей усилия клинических специалистов и самого пациента. Многообразие и вариабельность клинической картины посттравматического стрессового расстройства делают диагностику и лечение этого заболевания особенно сложными. Например, комплексное посттравматическое стрессовое расстройство выделено из группы диссоциативных расстройств только в Международной классификации болезней 11-го пересмотра. Вместе с тем, значительное нарушение ночного сна является одной из немногих характеристик, типичных для всех пациентов с посттравматическим стрессовым расстройством. В настоящее время математические методы, заимствованные из нелинейной физики, часто используются для анализа физиологических показателей и оценки состояния пациентов с различными заболеваниями, такими как депрессия, хроническая головная боль, синдром обструктивного апноэ сна. Однако методы рекуррентного анализа до сих пор не применялись для изучения посттравматического стрессового расстройства. Принимая во внимание успешное применение методов рекуррентного анализа при исследовании пациентов с хронической головной болью, ортодонтическими заболеваниями и нарушениями сна, мы уверены, предлагаемые в данной статье методы могут быть полезны учёным, работающим над изучением посттравматического стрессового расстройства, для всестороннего изучения проблемы. Применение методов рекуррентного анализа может внести вклад в изучение влияния различных психических заболеваний, включая посттравматическое стрессовое расстройство, на сон и может способствовать разработке более совершенных методов реабилитации этих пациентов</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сон</kwd><kwd>полисомнография</kwd><kwd>нелинейная динамика</kwd><kwd>физиологические сигналы</kwd><kwd>рекуррентный анализ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>sleep</kwd><kwd>polysomnography</kwd><kwd>nonlinear dynamics</kwd><kwd>physiological signals</kwd><kwd>recurrent analysis</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено в рамках государственного задания Министерства здравоохранения Российской Федерации «Разработка аппаратно-программного комплекса для неинвазивного мониторинга и прогнозирования декомпенсации кровообращения у пациентов с хронической сердечной недостаточностью», 2025-2027 гг., 125030703255-7</funding-statement><funding-statement xml:lang="en">The study was carried out within the framework of the state assignment of the Ministry of Health of the Russian Federation «Development of a hardware and software complex for non-invasive monitoring and prediction of circulatory decompensation in patients with chronic heart failure», 2025-2027, 125030703255-7</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Brewin CR, Cloitre M, Hyland P, et al. 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