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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" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">Молодежный инновационный вестник</journal-id><journal-title-group><journal-title>Молодежный инновационный вестник</journal-title></journal-title-group><issn publication-format="print">2415-7805</issn><publisher><publisher-name>Федеральное государственное бюджетное образовательное учреждение высшего образования "Воронежский государственный медицинский университет имени Н.Н. Бурденко" Министерства здравоохранения Российской Федерации</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">10908</article-id><article-categories><subj-group subj-group-type="heading"><subject>Conference Proceedings</subject></subj-group></article-categories><title-group><article-title>Heterogeneity and plasticity of the spine apparatus</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Орехова</surname><given-names>Daria Evgenyevna</given-names></name><email>orekh0va.dasha@yandex.ru</email><uri content-type="orcid">https://orcid.org/0009-0001-4527-2785</uri><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Vorontsova</surname><given-names>Zoya Afanasyevna</given-names></name><bio>&lt;p&gt;Doctor of Biological Sciences, Professor, Professor at the Department of Histology&lt;/p&gt;</bio><email>z.vorontsova@mail.ru</email><uri content-type="orcid">https://orcid.org/0000-0002-3610-2549</uri><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff id="aff-1">Voronezh State Medical University named after N. N. Burdenko</aff><aff id="aff-2">Voronezh N.N. Burdenko State Medical University</aff><pub-date date-type="epub" iso-8601-date="2025-11-04" publication-format="electronic"><day>04</day><month>11</month><year>2025</year></pub-date><volume>14</volume><issue>2</issue><fpage>101</fpage><lpage>105</lpage><history><pub-date date-type="received" iso-8601-date="2025-04-15"><day>15</day><month>04</month><year>2025</year></pub-date><pub-date date-type="accepted" iso-8601-date="2025-04-24"><day>24</day><month>04</month><year>2025</year></pub-date></history><permissions><copyright-statement>Copyright © 2025, Орехова D.E., Vorontsova Z.A.</copyright-statement><copyright-year>2025</copyright-year></permissions><abstract>&lt;p style="text-align: justify;"&gt;Introduction. Dendritic spines are stalk-like outgrowths on the surface of dendrites that function as a postsynaptic component of a neuronal synapse. These structures are able to change their morphofunctional characteristics in response to synaptic activity, which underlies the phenomenon of plasticity and is crucial for learning and memory processes. Relevance. Today, dendritic spines are key structures that ensure synaptic transmission and plasticity of neuronal connections. The spine apparatus ensures normal brain development, functioning, and aging of the brain, but the slightest non-standard changes in its structure are associated with behavioral and cognitive disorders, as well as neurodegenerative and psychiatric diseases. Due to the active study of the nature of these disorders and the changes that occur in the body, it is more important than ever to highlight the issue of heterogeneity and plasticity of dendritic spines. The aim of this research work is to analyze and compare the existing methods of morphofunctional study of dendritic spines, including traditional morphometric methods and a decision tree-based digital classification algorithm, as well as to characterize the changes in morphology and density of dendritic spines in various pathological conditions. Materials and methods. Analysis of domestic and foreign publications, systematization of data, comparative analysis of data. The obtained data emphasize the importance of detailed dendritic spine studies for developing new diagnostic strategies to identify neurodegenerative disorders.&lt;/p&gt;</abstract><kwd-group xml:lang="en"><kwd>dendritic spines</kwd><kwd>spine apparatus</kwd><kwd>micromorphological criteria</kwd><kwd>plasticity</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>дендритные шипики</kwd><kwd>шипиковый аппарат</kwd><kwd>микроморфологические критерии</kwd><kwd>пластичность</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Pchitskaya, E. Dendritic Spines Shape Analysis-Classification or Clusterization? Perspective / E. Pchitskaya, I. Bezprozvanny // Frontiers in Synaptic Neuroscience. – 2020. – Vol. 12. – P. 31. – DOI 10.3389/fnsyn.2020.00031. – EDN ZNKDVS.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>SpineTool is an open-source software for analysis of morphology of dendritic spines / E. Pchitskaya, P. 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