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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">I.P. Pavlov Journal of Higher Nervous Activity</journal-id><journal-title-group><journal-title xml:lang="en">I.P. Pavlov Journal of Higher Nervous Activity</journal-title><trans-title-group xml:lang="ru"><trans-title>Журнал высшей нервной деятельности им. И.П. Павлова</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0044-4677</issn><issn publication-format="electronic">3034-5316</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">680900</article-id><article-id pub-id-type="doi">10.31857/0044467725020036</article-id><article-categories><subj-group subj-group-type="toc-heading"><subject>ОБЗОРЫ И ТЕОРЕТИЧЕСКИЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Review Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Interaction between cognitive and affective domains of the working memory: cognitive neuroscience perspective</article-title><trans-title-group xml:lang="ru"><trans-title>Взаимодействие аффективных и когнитивных компонентов рабочей памяти при удержании эмоционально окрашенной информации. Нейрокогнитивный анализ</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Kochetkova</surname><given-names>E. V.</given-names></name><name xml:lang="ru"><surname>Кочеткова</surname><given-names>Е. В.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>k.v.kochetkova@gmail.com</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Machinskaya</surname><given-names>R. I.</given-names></name><name xml:lang="ru"><surname>Мачинская</surname><given-names>Р. И.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>k.v.kochetkova@gmail.com</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff3"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute for Child Development, Health and Adaptation</institution></aff><aff><institution xml:lang="ru">Институт развития, здоровья и адаптации ребенка</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Central Economics and Mathematics Institute of the Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Центральный экономико-математический институт Российской академии наук</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Russian Presidential Academy of National Economy and Public Administration</institution></aff><aff><institution xml:lang="ru">Российская академия народного хозяйства и государственной службы при Президенте РФ</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-03-15" publication-format="electronic"><day>15</day><month>03</month><year>2025</year></pub-date><volume>75</volume><issue>2</issue><issue-title xml:lang="ru"/><fpage>170</fpage><lpage>188</lpage><history><date date-type="received" iso-8601-date="2025-05-28"><day>28</day><month>05</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Российская академия наук</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://transsyst.ru/0044-4677/article/view/680900">https://transsyst.ru/0044-4677/article/view/680900</self-uri><abstract xml:lang="en"><p>The review provides an analysis of modern cognitive psychological theories of emotions and neural basis of mechanisms standing behind retention of emotional information in working memory. The tendency seen in modern neurocognitive theories is characterized by the rejection of localization for any psychological functions in favor of network models, where higher-order processes are supported by distributed neural networks connecting functionally specific cortical and subcortical structure formations. Such networks are supposed to be able to reorganize themselves in accordance with goal-oriented behavior and task requirements. We analyze existing approaches to determine the cognition and emotion interactions, within which they can be considered both as competing systems and the components of a single mechanism of goal-oriented behavior, for example in case of affective working memory. We also provide a hypothesis for the potential neural basis of affective working memory based on large-scale distributed networks including saliency network, default mode network, and the frontoparietal network, considering the possibility of dynamic changes in the system and obtaining additional nodes, for example, associated with the processing of social information.</p></abstract><trans-abstract xml:lang="ru"><p>В обзоре представлен анализ современных психологических теорий эмоций и соответствующих им концепций нейронального обеспечения обработки и удержания в рабочей памяти эмоционально окрашенной информации. Общей тенденцией современных нейрокогнитивных исследований является отказ от локализации отдельных когнитивных функций в пользу сетевых моделей, в которых обеспечение психических процессов осуществляется распределенными сетями, объединяющими функционально специфичные структуры коры и глубинных образований. Такие сети способны перестраиваться в соответствии с требованиями текущей задачи деятельности. В работе проанализированы подходы к анализу взаимодействия эмоций и когнитивных процессов, в рамках которых они могут рассматриваться и как конкурирующие системы, и как компоненты единого механизма целенаправленного поведения, в частности при удержании эмоционально окрашенной информации в аффективной рабочей памяти. Обсуждается связь мозговой организации аффективной рабочей памяти с динамическим взаимодействием крупных морфофункциональных сетей покоя (resting state networks), включая сеть определения значимых событий, дефолтную сеть и фронто-париетальную сеть, с возможностью перестройки и подключения дополнительных узлов, например, связанных с обработкой социально значимой информации.</p></trans-abstract><kwd-group xml:lang="en"><kwd>emotion</kwd><kwd>affective working memory</kwd><kwd>saliency network</kwd><kwd>default mode network</kwd><kwd>frontoparietal network</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>эмоции</kwd><kwd>аффективная рабочая память</kwd><kwd>сеть определения значимости</kwd><kwd>фронто-париетальная сеть</kwd><kwd>дефолтная сеть</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Министерство науки и высшего образования Российской Федерации</institution></institution-wrap><institution-wrap><institution xml:lang="en">Ministry of Science and Higher Education of the Russian Federation</institution></institution-wrap></funding-source><award-id>073-00073-24-21</award-id></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Астащенко А.П., Якимова Е Г., Дорохов Е В. 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