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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="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">vsp</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы современной педиатрии</journal-title><trans-title-group xml:lang="en"><trans-title>Current Pediatrics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1682-5527</issn><issn pub-type="epub">1682-5535</issn><publisher><publisher-name>Издательство «ПедиатрЪ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.15690/vsp.v23i6.2838</article-id><article-id custom-type="elpub" pub-id-type="custom">vsp-3656</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>ОРИГИНАЛЬНАЯ СТАТЬЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ORIGINAL ARTICLES</subject></subj-group></article-categories><title-group><article-title>Структурная морфометрия головного  мозга у детей с синдромом дефицита  внимания и гиперактивности  и коморбидными легкими  когнитивными нарушениями</article-title><trans-title-group xml:lang="en"><trans-title>Structural Brain Morphometry in Children with Attention Deficit  Hyperactivity Disorder and Comorbid Mild Cognitive Impairments</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8540-3858</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Каркашадзе</surname><given-names>Г. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Karkashadze</surname><given-names>George A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Каркашадзе Георгий Арчилович - кандидат медицинских наук, врач-невролог, заведующий отделом развития мозга в онтогенезе, формирования когнитивных функций и нейробиологии </p><p>119333, Москва, ул. Фотиевой, д. 10, стр. 1</p><p> тел.: +7 (903) 673-94-52</p></bio><bio xml:lang="en"><p>Moscow</p></bio><email xlink:type="simple">karkga@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5282-6504</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Фирумянц</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Firumyants</surname><given-names>Alexey I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Шилко</surname><given-names>Н. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Shilko</surname><given-names>Nikita S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0002-5036-8407</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сергиенко</surname><given-names>Н. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Sergienko</surname><given-names>Nataliya S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0002-0596-631X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Нестерова</surname><given-names>Ю. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Nesterova</surname><given-names>Yulia V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0003-0892-3726</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Яцык</surname><given-names>Л. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Yatsyk</surname><given-names>Leonid M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Руденко</surname><given-names>Е. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Rudenko</surname><given-names>Elena N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Полле</surname><given-names>М. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Polle</surname><given-names>Mikhail I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Салимгареева</surname><given-names>Т. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Salimgareeva</surname><given-names>Tatiana A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0001-9790-7490</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гогберашвили</surname><given-names>Т. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Gogberashvili</surname><given-names>Tinatin Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0001-7218-8434</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сергеева</surname><given-names>Н. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Sergeeva</surname><given-names>Nataliya E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Константиниди</surname><given-names>Т. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Konstantinidi</surname><given-names>Tatiana A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Садиллоева</surname><given-names>С. Х.</given-names></name><name name-style="western" xml:lang="en"><surname>Sadilloeva</surname><given-names>Safarbegim Kh.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0009-0006-3747-3743</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Куракина</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kurakina</surname><given-names>Marina A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дьяченко</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Dyachenko</surname><given-names>Viktor V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Поваляева</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Povalyaeva</surname><given-names>Inessa A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Богданов</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Bogdanov</surname><given-names>Evgeniy V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0001-5790-6223</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рыкунова</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Rykunova</surname><given-names>Anastasia I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0001-7398-0562</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Вишнева</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Vishneva</surname><given-names>Elena A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0002-8936-3590</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кайтукова</surname><given-names>Е. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Kaytukova</surname><given-names>Elena V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0003-0317-2425</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Эфендиева</surname><given-names>К. Е.</given-names></name><name name-style="western" xml:lang="en"><surname>Efendieva</surname><given-names>Kamilla E.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</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/0000-0002-2209-7531</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Намазова-Баранова</surname><given-names>Л. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Namazova-Baranova</surname><given-names>Leyla S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Москва</p></bio><bio xml:lang="en"><p>Moscow</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>НИИ педиатрии и охраны здоровья детей НКЦ №2 ФГБОУ ВО «РНЦХ им. акад. Б.В. Петровского»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Institute of Pediatrics and Children’s Health in Petrovsky National Research Centre of Surgery</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>НИИ педиатрии и охраны здоровья детей НКЦ №2 ФГБОУ ВО «РНЦХ им. акад. Б.В. Петровского»; РНИМУ им. Н.И. Пирогова (Пироговский Университет)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Research Institute of Pediatrics and Children’s Health in Petrovsky National Research Centre of Surgery; Pirogov Russian National Research Medical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>04</day><month>01</month><year>2025</year></pub-date><volume>23</volume><issue>6</issue><fpage>466</fpage><lpage>482</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Каркашадзе Г.А., Фирумянц А.И., Шилко Н.С., Сергиенко Н.С., Нестерова Ю.В., Яцык Л.М., Руденко Е.Н., Полле М.И., Салимгареева Т.А., Гогберашвили Т.Ю., Сергеева Н.С., Константиниди Т.А., Садиллоева С.Х., Куракина М.А., Дьяченко В.В., Поваляева И.А., Богданов Е.В., Рыкунова А.И., Вишнева Е.А., Кайтукова Е.В., Эфендиева К.Е., Намазова-Баранова Л.С., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Каркашадзе Г.А., Фирумянц А.И., Шилко Н.С., Сергиенко Н.С., Нестерова Ю.В., Яцык Л.М., Руденко Е.Н., Полле М.И., Салимгареева Т.А., Гогберашвили Т.Ю., Сергеева Н.С., Константиниди Т.А., Садиллоева С.Х., Куракина М.А., Дьяченко В.В., Поваляева И.А., Богданов Е.В., Рыкунова А.И., Вишнева Е.А., Кайтукова Е.В., Эфендиева К.Е., Намазова-Баранова Л.С.</copyright-holder><copyright-holder xml:lang="en">Karkashadze G.A., Firumyants A.I., Shilko N.S., Sergienko N.S., Nesterova Y.V., Yatsyk L.M., Rudenko E.N., Polle M.I., Salimgareeva T.A., Gogberashvili T.Y., Sergeeva N.E., Konstantinidi T.A., Sadilloeva S.K., Kurakina M.A., Dyachenko V.V., Povalyaeva I.A., Bogdanov E.V., Rykunova A.I., Vishneva E.A., Kaytukova E.V., Efendieva K.E., Namazova-Baranova L.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://vsp.spr-journal.ru/jour/article/view/3656">https://vsp.spr-journal.ru/jour/article/view/3656</self-uri><abstract><p>Обоснование. Несмотря на то, что расстройства из группы легких когнитивных нарушений широко распространены при синдроме дефицита внимания и гиперактивности (СДВГ), изучение морфометрических параметров мозга у детей при коморбидных СДВГ легких когнитивных нарушениях еще нигде не проводилось. Цель исследования — определить и провести сравнительный анализ МР-морфометрических параметров мозга у детей с СДВГ в зависимости от наличия или отсутствия сопутствующих расстройств из группы легких когнитивных нарушений. Методы. Участники — дети в возрасте 7–8 лет, объединенные в 4 группы: страдающие СДВГ без коморбидной патологии (КП), СДВГ с легкими когнитивными нарушениями (ЛКН), ЛКН без СДВГ и здоровые дети. Всем участникам проводились магнитно-резонансная томография головного мозга и последующая морфометрия с получением количественных параметров крупных структур головного мозга, извилин коры больших полушарий, подкорковых ядер, мозжечка и боковых желудочков. Результаты. Обследовано 90 детей. В группе СДВГ с ЛКН выявлено достоверное снижение объемов хвостатых ядер с двух сторон и гиппокампа справа, а также снижение объемов коры правых верхнетеменной и супрамаргинальной извилин и полюса лобной доли. В группе СДВГ без КП выявлены другие изменения: снижение объема скорлупы с двух сторон и таламуса слева, увеличение объема шести и снижение объема коры четырех извилин, истончение коры четырех извилин при утолщении коры одной извилины, увеличение объемов четырех долек мозжечка. При ЛКН без СДВГ выявлены двустороннее расширение боковых желудочков, снижение объемов правого бледного шара и коры семи извилин, преимущественно правосторонних, а также снижение объемов четырех долек мозжечка. Прямое сравнение между двумя группами СДВГ показало выраженные различия вплоть до более низкого в группе СДВГ с ЛКН тотального объема коры головного мозга с включением коры пяти левополушарных и семи правополушарных извилин. Участники групп СДВГ, в отличие от нормы и группы ЛКН без СДВГ, не демонстрировали возрастного динамического снижения объемов коры больших полушарий. Заключение. Для СДВГ характерно одновременное наличие двух патогенетических процессов: недоразвития одних отделов коры больших полушарий и задержки возрастных изменений других отделов. Между СДВГ без КП и СДВГ с ЛКН выявлены существенные различия морфометрических параметров, что предполагает дифференцированный подход к лечению таких пациентов и пересмотр подходов к организации морфометрических исследований мозга при СДВГ. Увеличение боковых желудочков при ЛКН может свидетельствовать о вкладе перинатальной патологии в этиологию этих состояний.</p></abstract><trans-abstract xml:lang="en"><p>Background. Even though mild cognitive impairments are common in patients with attention deficit hyperactivity disorder (ADHD), there are no studies of morphometric brain parameters in children with ADHD and comorbid mild cognitive impairments. Objective. The aim of the study is to determine and perform comparative analysis of MR-morphometric brain parameters in children with ADHD depending on the presence or absence of comorbid mild cognitive impairments. Methods. Participants are children aged from 7 to 8 years with ADHD without comorbid pathology (CP), ADHD with mild cognitive impairment (MCI), MCI without ADHD, and healthy children. All participants underwent brain magnetic resonance imaging followed by morphometry to obtain quantitative parameters of large brain structures, cerebral cortex gyri, basal ganglia, cerebellum, and lateral ventricles. Results. 90 children were examined. ADHD with MCI group has shown significant decrease in the volumes of caudate nuclei bilaterally and hippocampus on the right, as well as decrease in the volumes of right superior parietal gyrus, supramarginal gyrus, and frontal cortex. ADHD without CP group has shown different changes: decrease in the volume of putamen on both sides and thalamus on the left, increase in the volume of six and decrease in the volume of the cortex of four gyri, cortex thinning of four gyri with cortex thickening of one gyrus, volume increase of four cerebellar lobules. MCI without ADHD group has shown bilateral enlargement of lateral ventricles, decrease in the volume of right pallidum and seven gyri cortex, mostly on the right side, as well as decrease in the volume of four cerebellar lobules. Direct comparison between the two ADHD groups has shown significant differences up to lower total cortex volume with 5 gyri of left hemisphere and 7 gyri of right hemisphere in the ADHD with MCI group. Participants of ADHD groups compared to healthy individuals and the MCI without ADHD group did not show any age-related dynamic decrease in the volumes of cerebral cortex. Conclusion. ADHD is characterized by parallel presence of two pathogenetic processes: cerebral cortex hypoplasia and delayed age-related changes in other areas. Significant differences in morphometric parameters were revealed between ADHD without CP and ADHD with MCI. It suggests individual treatment for such patients and revision of approaches to morphometric brain studies in patients with ADHD. Enlargement of lateral ventricles in MCI may indicate the effect of perinatal pathology on these conditions’ etiology.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>морфометрия мозга</kwd><kwd>СДВГ</kwd><kwd>легкие когнитивные нарушения</kwd><kwd>дети</kwd><kwd>СДВГ и коморбидные состояния</kwd><kwd>структурная МРТ</kwd></kwd-group><kwd-group xml:lang="en"><kwd>brain morphometry</kwd><kwd>ADHD</kwd><kwd>mild cognitive impairments</kwd><kwd>children</kwd><kwd>ADHD and comorbid pathologies</kwd><kwd>structural MRI</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Отсутствует.</funding-statement><funding-statement xml:lang="en">Not specified.</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">Opel N, Goltermann J, Hermesdorf M, et al. Cross-Disorder Analysis of Brain Structural Abnormalities in Six Major Psychiatric Disorders: A Secondary Analysis of Mega- and Meta-analytical Findings From the ENIGMA Consortium. Biol Psychiatry. 2020;88(9):678–686. doi: https://doi.org/10.1016/j.biopsych.2020.04.027</mixed-citation><mixed-citation xml:lang="en">Opel N, Goltermann J, Hermesdorf M, et al. Cross-Disorder Analysis of Brain Structural Abnormalities in Six Major Psychiatric Disorders: A Secondary Analysis of Mega- and Meta-analytical Findings From the ENIGMA Consortium. Biol Psychiatry. 2020;88(9):678–686. doi: https://doi.org/10.1016/j.biopsych.2020.04.027</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Dipietro L, Gonzalez-Mego P, Ramos-Estebanez C, et al. The evolution of Big Data in neuroscience and neurology. J Big Data. 2023;10(1):116. doi: https://doi.org/10.1186/s40537-023-00751-2</mixed-citation><mixed-citation xml:lang="en">Dipietro L, Gonzalez-Mego P, Ramos-Estebanez C, et al. The evolution of Big Data in neuroscience and neurology. J Big Data. 2023;10(1):116. doi: https://doi.org/10.1186/s40537-023-00751-2</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Фирумянц А.И., Намазова-Баранова Л.С., Каркашадзе Г.А. и др. Морфометрия головного мозга — передовой метод нейровизуализационного картирования у детей // Вопросы современной педиатрии. — 2023. — Т. 22. — № 6. — С. 521–527. — doi: https://doi.org/10.15690/vsp.v22i6.2707</mixed-citation><mixed-citation xml:lang="en">Firumyants AI, NamazovaBaranova LS, Karkashadze GA, et al. Brain Morphometry is an Advanced Method of Neuroimaging Mapping in Children. Voprosy sovremennoi pediatrii — Current Pediatrics. 2023;22(6):521–527. (In Russ). doi: https://doi.org/10.15690/vsp.v22i6.2707</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Yu M, Gao X, Niu X, et al. Meta-analysis of structural and functional alterations of brain in patients with attention-deficit/ hyperactivity disorder. Front Psychiatry. 2023;13:1070142. doi: https://doi.org/10.3389/fpsyt.2022.1070142</mixed-citation><mixed-citation xml:lang="en">Yu M, Gao X, Niu X, et al. Meta-analysis of structural and functional alterations of brain in patients with attention-deficit/ hyperactivity disorder. Front Psychiatry. 2023;13:1070142. doi: https://doi.org/10.3389/fpsyt.2022.1070142</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Albajara Sáenz A, Villemonteix T, Massat I. Structural and functional neuroimaging in attention-deficit/hyperactivity disorder. Dev Med Child Neurol. 2019;61(4):399–405. doi: https://doi.org/10.1111/dmcn.14050</mixed-citation><mixed-citation xml:lang="en">Albajara Sáenz A, Villemonteix T, Massat I. Structural and functional neuroimaging in attention-deficit/hyperactivity disorder. Dev Med Child Neurol. 2019;61(4):399–405. doi: https://doi.org/10.1111/dmcn.14050</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Bedford SA, Lai MC, Lombardo MV, et al. Brain-charting autism and attention deficit hyperactivity disorder reveals distinct and overlapping neurobiology. medRxiv [Preprint]. 20237:2023.12.06.23299587. doi: https://doi.org/10.1101/2023.12.06.23299587</mixed-citation><mixed-citation xml:lang="en">Bedford SA, Lai MC, Lombardo MV, et al. Brain-charting autism and attention deficit hyperactivity disorder reveals distinct and overlapping neurobiology. medRxiv [Preprint]. 20237:2023.12.06.23299587. doi: https://doi.org/10.1101/2023.12.06.23299587</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Hoogman M, Muetzel R, Guimaraes JP, et al. Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples. Am J Psychiatry. 2019;176(7): 531–542. doi: https://doi.org/10.1176/appi.ajp.2019.18091033</mixed-citation><mixed-citation xml:lang="en">Hoogman M, Muetzel R, Guimaraes JP, et al. Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples. Am J Psychiatry. 2019;176(7): 531–542. doi: https://doi.org/10.1176/appi.ajp.2019.18091033</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Narr KL, Woods RP, Lin J, et al. Widespread cortical thinning is a robust anatomical marker for attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2009;48(10): 1014–1022. doi: https://doi.org/10.1097/CHI.0b013e3181b395c0</mixed-citation><mixed-citation xml:lang="en">Narr KL, Woods RP, Lin J, et al. Widespread cortical thinning is a robust anatomical marker for attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry. 2009;48(10): 1014–1022. doi: https://doi.org/10.1097/CHI.0b013e3181b395c0</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Silk TJ, Beare R, Malpas C, et al. Cortical morphometry in attention deficit/hyperactivity disorder: contribution of thickness and surface area to volume. Cortex. 2016;82:1–10. doi: https://doi.org/10.1016/j.cortex.2016.05.012</mixed-citation><mixed-citation xml:lang="en">Silk TJ, Beare R, Malpas C, et al. Cortical morphometry in attention deficit/hyperactivity disorder: contribution of thickness and surface area to volume. Cortex. 2016;82:1–10. doi: https://doi.org/10.1016/j.cortex.2016.05.012</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Shaw P, Eckstrand K, Sharp W, et al. Attention-deficit/ hyperactivity disorder is characterized by a delay in cortical maturation. Proc Natl Acad Sci U S A. 2007;104(49):19649–19654. doi: https://doi.org/10.1073/pnas.0707741104</mixed-citation><mixed-citation xml:lang="en">Shaw P, Eckstrand K, Sharp W, et al. Attention-deficit/ hyperactivity disorder is characterized by a delay in cortical maturation. Proc Natl Acad Sci U S A. 2007;104(49):19649–19654. doi: https://doi.org/10.1073/pnas.0707741104</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Almeida L, Ricardo-Garcell J, Prado H, et al. Reduced right frontal cortical thickness in children, adolescents and adults with ADHD and its correlation to clinical variables: a crosssectional study. J Psychiatr Res. 2010;44(16):1214–1223. doi: https://doi.org/10.1016/j.jpsychires.2010.04.026</mixed-citation><mixed-citation xml:lang="en">Almeida L, Ricardo-Garcell J, Prado H, et al. Reduced right frontal cortical thickness in children, adolescents and adults with ADHD and its correlation to clinical variables: a crosssectional study. J Psychiatr Res. 2010;44(16):1214–1223. doi: https://doi.org/10.1016/j.jpsychires.2010.04.026</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Ambrosino S, de Zeeuw P, Wierenga LM, et al. What can cortical development in attention-deficit/hyperactivity disorder teach us about the early developmental mechanisms involved? Cereb Cortex. 2017;27(9):4624–4634. doi: https://doi.org/10.1093/cercor/bhx182</mixed-citation><mixed-citation xml:lang="en">Ambrosino S, de Zeeuw P, Wierenga LM, et al. What can cortical development in attention-deficit/hyperactivity disorder teach us about the early developmental mechanisms involved? Cereb Cortex. 2017;27(9):4624–4634. doi: https://doi.org/10.1093/cercor/bhx182</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Wolosin SM, Richardson ME, Hennessey JG, et al. Abnormal cerebral cortex structure in children with ADHD. Hum Brain Mapp. 2009;30(1):175–184. doi: https://doi.org/10.1002/hbm.20496</mixed-citation><mixed-citation xml:lang="en">Wolosin SM, Richardson ME, Hennessey JG, et al. Abnormal cerebral cortex structure in children with ADHD. Hum Brain Mapp. 2009;30(1):175–184. doi: https://doi.org/10.1002/hbm.20496</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Almeida Montes L, Prado Alcántara H, Martínez García R, et al. Brain cortical thickness in ADHD: age, sex, and clinical correlations. J Atten Disord. 2012;17(8):641–654. doi: https://doi.org/10.1177/1087054711434351</mixed-citation><mixed-citation xml:lang="en">Almeida Montes L, Prado Alcántara H, Martínez García R, et al. Brain cortical thickness in ADHD: age, sex, and clinical correlations. J Atten Disord. 2012;17(8):641–654. doi: https://doi.org/10.1177/1087054711434351</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Luo X, Lin X, Ide JS, et al. Male-specific, replicable and functional roles of genetic variants and cerebral gray matter volumes in ADHD: a gene-wide association study across KTN1 and a region-wide functional validation across brain. Child Adolesc Psychiatry Ment Health. 2023;17(1):4. doi: https://doi.org/10.1186/s13034-022-00536-0</mixed-citation><mixed-citation xml:lang="en">Luo X, Lin X, Ide JS, et al. Male-specific, replicable and functional roles of genetic variants and cerebral gray matter volumes in ADHD: a gene-wide association study across KTN1 and a region-wide functional validation across brain. Child Adolesc Psychiatry Ment Health. 2023;17(1):4. doi: https://doi.org/10.1186/s13034-022-00536-0</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Chiang HL, Lin HY, Tseng WI, et al. Neural substrates underpinning intra-individual variability in children with ADHD: A voxel-based morphometry study. J Formos Med Assoc. 2022;121(2):546–556. doi: https://doi.org/10.1016/j.jfma.2021.06.003</mixed-citation><mixed-citation xml:lang="en">Chiang HL, Lin HY, Tseng WI, et al. Neural substrates underpinning intra-individual variability in children with ADHD: A voxel-based morphometry study. J Formos Med Assoc. 2022;121(2):546–556. doi: https://doi.org/10.1016/j.jfma.2021.06.003</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Kaya BS, Metin B, Tas ZC, et al. Gray matter increase in motor cortex in pediatric ADHD: a voxel-based morphometry study. J Atten Disord. 2018;22(7):611–618. doi: https://doi.org/10.1177/1087054716659139</mixed-citation><mixed-citation xml:lang="en">Kaya BS, Metin B, Tas ZC, et al. Gray matter increase in motor cortex in pediatric ADHD: a voxel-based morphometry study. J Atten Disord. 2018;22(7):611–618. doi: https://doi.org/10.1177/1087054716659139</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Makris N, Liang L, Biederman J, et al. Toward Defining the Neural Substrates of ADHD: A Controlled Structural MRI Study in Medication-Naïve Adults. J Atten Disord. 2015;19(11):944–953. doi: https://doi.org/10.1177/1087054713506041</mixed-citation><mixed-citation xml:lang="en">Makris N, Liang L, Biederman J, et al. Toward Defining the Neural Substrates of ADHD: A Controlled Structural MRI Study in Medication-Naïve Adults. J Atten Disord. 2015;19(11):944–953. doi: https://doi.org/10.1177/1087054713506041</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Moreno-Alcázar A, Ramos-Quiroga JA, Radua J, et al. Brain abnormalities in adults with Attention Deficit Hyperactivity Disorder revealed by voxel-based morphometry. Psychiatry Res Neuroimaging. 2016;254:41–47. doi: https://doi.org/10.1016/j.pscychresns.2016.06.002</mixed-citation><mixed-citation xml:lang="en">Moreno-Alcázar A, Ramos-Quiroga JA, Radua J, et al. Brain abnormalities in adults with Attention Deficit Hyperactivity Disorder revealed by voxel-based morphometry. Psychiatry Res Neuroimaging. 2016;254:41–47. doi: https://doi.org/10.1016/j.pscychresns.2016.06.002</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Backhausen LL, Herting MM, Tamnes CK, Vetter NC. Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders. Neuropsychol Rev. 2022;32(2):400–418. doi: https://doi.org/10.1007/s11065-021-09496-2</mixed-citation><mixed-citation xml:lang="en">Backhausen LL, Herting MM, Tamnes CK, Vetter NC. Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders. Neuropsychol Rev. 2022;32(2):400–418. doi: https://doi.org/10.1007/s11065-021-09496-2</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Mueller KL, Tomblin JB. Examining the comorbidity of language disorders and ADHD. Top Lang Disord. 2012;32(3):228–246. doi: https://doi.org/10.1097/TLD.0b013e318262010d</mixed-citation><mixed-citation xml:lang="en">Mueller KL, Tomblin JB. Examining the comorbidity of language disorders and ADHD. Top Lang Disord. 2012;32(3):228–246. doi: https://doi.org/10.1097/TLD.0b013e318262010d</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Katsarou DV, Efthymiou E, Kougioumtzis GA, et al. Identifying Language Development in Children with ADHD: Differential Challenges, Interventions, and Collaborative Strategies. Children (Basel). 2024;11(7):841. doi: https://doi.org/10.3390/children11070841</mixed-citation><mixed-citation xml:lang="en">Katsarou DV, Efthymiou E, Kougioumtzis GA, et al. Identifying Language Development in Children with ADHD: Differential Challenges, Interventions, and Collaborative Strategies. Children (Basel). 2024;11(7):841. doi: https://doi.org/10.3390/children11070841</mixed-citation></citation-alternatives></ref><ref id="cit23"><label>23</label><citation-alternatives><mixed-citation xml:lang="ru">Tsui KW, Lai KY, Lee MM, et al. Prevalence of motor problems in children with attention deficit hyperactivity disorder in Hong Kong. Hong Kong Med J. 2016;22(2):98–105. doi: https://doi.org/10.12809/hkmj154591</mixed-citation><mixed-citation xml:lang="en">Tsui KW, Lai KY, Lee MM, et al. Prevalence of motor problems in children with attention deficit hyperactivity disorder in Hong Kong. Hong Kong Med J. 2016;22(2):98–105. doi: https://doi.org/10.12809/hkmj154591</mixed-citation></citation-alternatives></ref><ref id="cit24"><label>24</label><citation-alternatives><mixed-citation xml:lang="ru">DuPaul GJ, Gormley MJ, Laracy SD. Comorbidity of LD and ADHD: implications of DSM-5 for assessment and treatment. J Learn Disabil. 2013;46(1):43–51. doi: https://doi.org/10.1177/0022219412464351</mixed-citation><mixed-citation xml:lang="en">DuPaul GJ, Gormley MJ, Laracy SD. Comorbidity of LD and ADHD: implications of DSM-5 for assessment and treatment. J Learn Disabil. 2013;46(1):43–51. doi: https://doi.org/10.1177/0022219412464351</mixed-citation></citation-alternatives></ref><ref id="cit25"><label>25</label><citation-alternatives><mixed-citation xml:lang="ru">Chan ESM, Shero JA, Hand ED, et al. Are Reading Interventions Effective for At-Risk Readers with ADHD? A Meta-Analysis. J Atten Disord. 2023;27(2):182–200. doi: https://doi.org/10.1177/10870547221130111</mixed-citation><mixed-citation xml:lang="en">Chan ESM, Shero JA, Hand ED, et al. Are Reading Interventions Effective for At-Risk Readers with ADHD? A Meta-Analysis. J Atten Disord. 2023;27(2):182–200. doi: https://doi.org/10.1177/10870547221130111</mixed-citation></citation-alternatives></ref><ref id="cit26"><label>26</label><citation-alternatives><mixed-citation xml:lang="ru">McGrath LM, Stoodley CJ. Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies. J Neurodev Disord. 2019;11(1):31. doi: https://doi.org/10.1186/s11689-019-9287-8</mixed-citation><mixed-citation xml:lang="en">McGrath LM, Stoodley CJ. Are there shared neural correlates between dyslexia and ADHD? A meta-analysis of voxel-based morphometry studies. J Neurodev Disord. 2019;11(1):31. doi: https://doi.org/10.1186/s11689-019-9287-8</mixed-citation></citation-alternatives></ref><ref id="cit27"><label>27</label><citation-alternatives><mixed-citation xml:lang="ru">Jednoróg K, Gawron N, Marchewka A, et al. Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume. Brain Struct Funct. 2014;219(5):1697–1707. doi: https://doi.org/10.1007/s00429-013-0595-6.</mixed-citation><mixed-citation xml:lang="en">Jednoróg K, Gawron N, Marchewka A, et al. Cognitive subtypes of dyslexia are characterized by distinct patterns of grey matter volume. Brain Struct Funct. 2014;219(5):1697–1707. doi: https://doi.org/10.1007/s00429-013-0595-6.</mixed-citation></citation-alternatives></ref><ref id="cit28"><label>28</label><citation-alternatives><mixed-citation xml:lang="ru">Xia Z, Hoeft F, Zhang L, Shu H. Neuroanatomical anomalies of dyslexia: Disambiguating the effects of disorder, performance, and maturation. Neuropsychologia. 2016;81:8–78. doi: https://doi.org/10.1016/j.neuropsychologia.2015.12.003</mixed-citation><mixed-citation xml:lang="en">Xia Z, Hoeft F, Zhang L, Shu H. Neuroanatomical anomalies of dyslexia: Disambiguating the effects of disorder, performance, and maturation. Neuropsychologia. 2016;81:8–78. doi: https://doi.org/10.1016/j.neuropsychologia.2015.12.003</mixed-citation></citation-alternatives></ref><ref id="cit29"><label>29</label><citation-alternatives><mixed-citation xml:lang="ru">Liégeois F, Mayes A, Morgan A. Neural Correlates of Developmental Speech and Language Disorders: Evidence from Neuroimaging. Curr Dev Disord Rep. 2014;1(3):215–227. doi: https://doi.org/10.1007/s40474-014-0019-1</mixed-citation><mixed-citation xml:lang="en">Liégeois F, Mayes A, Morgan A. Neural Correlates of Developmental Speech and Language Disorders: Evidence from Neuroimaging. Curr Dev Disord Rep. 2014;1(3):215–227. doi: https://doi.org/10.1007/s40474-014-0019-1</mixed-citation></citation-alternatives></ref><ref id="cit30"><label>30</label><citation-alternatives><mixed-citation xml:lang="ru">Morgan A, Bonthrone A, Liégeois FJ. Brain basis of childhood speech and language disorders: are we closer to clinically meaningful MRI markers? Curr Opin Pediatr. 2016;28(6):725–730. doi: https://doi.org/10.1097/MOP.0000000000000420</mixed-citation><mixed-citation xml:lang="en">Morgan A, Bonthrone A, Liégeois FJ. Brain basis of childhood speech and language disorders: are we closer to clinically meaningful MRI markers? Curr Opin Pediatr. 2016;28(6):725–730. doi: https://doi.org/10.1097/MOP.0000000000000420</mixed-citation></citation-alternatives></ref><ref id="cit31"><label>31</label><citation-alternatives><mixed-citation xml:lang="ru">Ullman MT, Clark GM, Pullman MY, et al. The neuroanatomy of developmental language disorder: a systematic review and metaanalysis. Nat Hum Behav. 2024;8(5):962–975. doi: https://doi.org/10.1038/s41562-024-01843-6</mixed-citation><mixed-citation xml:lang="en">Ullman MT, Clark GM, Pullman MY, et al. The neuroanatomy of developmental language disorder: a systematic review and metaanalysis. Nat Hum Behav. 2024;8(5):962–975. doi: https://doi.org/10.1038/s41562-024-01843-6</mixed-citation></citation-alternatives></ref><ref id="cit32"><label>32</label><citation-alternatives><mixed-citation xml:lang="ru">Lee MM, Drury BC, McGrath LM, Stoodley CJ. Shared grey matter correlates of reading and attention. Brain Lang. 2023;237:105230. doi: https://doi.org/10.1016/j.bandl.2023.105230</mixed-citation><mixed-citation xml:lang="en">Lee MM, Drury BC, McGrath LM, Stoodley CJ. Shared grey matter correlates of reading and attention. Brain Lang. 2023;237:105230. doi: https://doi.org/10.1016/j.bandl.2023.105230</mixed-citation></citation-alternatives></ref><ref id="cit33"><label>33</label><citation-alternatives><mixed-citation xml:lang="ru">Jagger-Rickels AC, Kibby MY, Constance JM. Global gray matter morphometry differences between children with reading disability, ADHD, and comorbid reading disability/ADHD. Brain Lang. 2018;185:54–66. doi: https://doi.org/10.1016/j.bandl.2018.08.004</mixed-citation><mixed-citation xml:lang="en">Jagger-Rickels AC, Kibby MY, Constance JM. Global gray matter morphometry differences between children with reading disability, ADHD, and comorbid reading disability/ADHD. Brain Lang. 2018;185:54–66. doi: https://doi.org/10.1016/j.bandl.2018.08.004</mixed-citation></citation-alternatives></ref><ref id="cit34"><label>34</label><citation-alternatives><mixed-citation xml:lang="ru">Langer N, Benjamin C, Becker BLC, Gaab N. Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics. Hum Brain Mapp. 2019;40(9):2677–2698. doi: https://doi.org/10.1002/hbm.24552</mixed-citation><mixed-citation xml:lang="en">Langer N, Benjamin C, Becker BLC, Gaab N. Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics. Hum Brain Mapp. 2019;40(9):2677–2698. doi: https://doi.org/10.1002/hbm.24552</mixed-citation></citation-alternatives></ref><ref id="cit35"><label>35</label><citation-alternatives><mixed-citation xml:lang="ru">Brown TT, Jernigan TL. Brain development during the preschool years. Neuropsychol Rev. 2012;22(4):313–333. doi: https://doi.org/10.1007/s11065-012-9214-1</mixed-citation><mixed-citation xml:lang="en">Brown TT, Jernigan TL. Brain development during the preschool years. Neuropsychol Rev. 2012;22(4):313–333. doi: https://doi.org/10.1007/s11065-012-9214-1</mixed-citation></citation-alternatives></ref><ref id="cit36"><label>36</label><citation-alternatives><mixed-citation xml:lang="ru">Vijayakumar N, Mills KL, Alexander-Bloch A, et al. Structural brain development: A review of methodological approaches and best practices. Dev Cogn Neurosci. 2018;33:129–148. doi: https://doi.org/10.1016/j.dcn.2017.11.008</mixed-citation><mixed-citation xml:lang="en">Vijayakumar N, Mills KL, Alexander-Bloch A, et al. Structural brain development: A review of methodological approaches and best practices. Dev Cogn Neurosci. 2018;33:129–148. doi: https://doi.org/10.1016/j.dcn.2017.11.008</mixed-citation></citation-alternatives></ref><ref id="cit37"><label>37</label><citation-alternatives><mixed-citation xml:lang="ru">O’Brien LM, Ziegler DA, Deutsch CK, et al. Statistical adjustments for brain size in volumetric neuroimaging studies: Some practical implications in methods. Psychiatry Res. 2011;193(2):113–122. doi: https://doi.org/10.1016/j.pscychresns.2011.01.007</mixed-citation><mixed-citation xml:lang="en">O’Brien LM, Ziegler DA, Deutsch CK, et al. Statistical adjustments for brain size in volumetric neuroimaging studies: Some practical implications in methods. Psychiatry Res. 2011;193(2):113–122. doi: https://doi.org/10.1016/j.pscychresns.2011.01.007</mixed-citation></citation-alternatives></ref><ref id="cit38"><label>38</label><citation-alternatives><mixed-citation xml:lang="ru">Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021</mixed-citation><mixed-citation xml:lang="en">Desikan RS, Ségonne F, Fischl B, et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage. 2006;31(3):968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021</mixed-citation></citation-alternatives></ref><ref id="cit39"><label>39</label><citation-alternatives><mixed-citation xml:lang="ru">Backhausen LL, Herting MM, Buse J, et al. Quality Control of Structural MRI Images Applied Using FreeSurfer-A Hands-On Workflow to Rate Motion Artifacts. Front Neurosci. 2016;10:558. doi: https://doi.org/10.3389/fnins.2016.00558</mixed-citation><mixed-citation xml:lang="en">Backhausen LL, Herting MM, Buse J, et al. Quality Control of Structural MRI Images Applied Using FreeSurfer-A Hands-On Workflow to Rate Motion Artifacts. Front Neurosci. 2016;10:558. doi: https://doi.org/10.3389/fnins.2016.00558</mixed-citation></citation-alternatives></ref><ref id="cit40"><label>40</label><citation-alternatives><mixed-citation xml:lang="ru">Hoogman M, Bralten J, Hibar DP, et al. Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis. Lancet Psychiatry. 2017;4(4):310–319. doi: 10.1016/S2215-0366(17)30049-4</mixed-citation><mixed-citation xml:lang="en">Hoogman M, Bralten J, Hibar DP, et al. Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis. Lancet Psychiatry. 2017;4(4):310–319. doi: 10.1016/S2215-0366(17)30049-4</mixed-citation></citation-alternatives></ref><ref id="cit41"><label>41</label><citation-alternatives><mixed-citation xml:lang="ru">Klein M, Walters RK, Demontis D, et al. Genetic Markers of ADHD-Related Variations in Intracranial Volume. Am J Psychiatry. 2019;176(3):228–238. doi: https://doi.org/10.1176/appi.ajp.2018.18020149</mixed-citation><mixed-citation xml:lang="en">Klein M, Walters RK, Demontis D, et al. Genetic Markers of ADHD-Related Variations in Intracranial Volume. Am J Psychiatry. 2019;176(3):228–238. doi: https://doi.org/10.1176/appi.ajp.2018.18020149</mixed-citation></citation-alternatives></ref><ref id="cit42"><label>42</label><citation-alternatives><mixed-citation xml:lang="ru">Houk JC, Adams JL, Barto AG. A Model of How the Basal Ganglia Generate and Use Neural Signals that Predict Reinforcement. In: Models of Information Processing in the Basal Ganglia. Houk JC, Davis JL Beiser DG, eds. Cambridge, MA: MIT Press; 1995. Ch. 13. pp. 249–270. doi: https://doi.org/10.7551/mitpress/4708.001.0001</mixed-citation><mixed-citation xml:lang="en">Houk JC, Adams JL, Barto AG. A Model of How the Basal Ganglia Generate and Use Neural Signals that Predict Reinforcement. In: Models of Information Processing in the Basal Ganglia. Houk JC, Davis JL Beiser DG, eds. Cambridge, MA: MIT Press; 1995. Ch. 13. pp. 249–270. doi: https://doi.org/10.7551/mitpress/4708.001.0001</mixed-citation></citation-alternatives></ref><ref id="cit43"><label>43</label><citation-alternatives><mixed-citation xml:lang="ru">Haruno M, Kuroda T, Doya K, et al. A neural cor-relate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task. J Neurosci. 2004;24(7):1660–1665. doi: https://doi.org/10.1523/JNEUROSCI.3417-03.2004</mixed-citation><mixed-citation xml:lang="en">Haruno M, Kuroda T, Doya K, et al. A neural cor-relate of reward-based behavioral learning in caudate nucleus: a functional magnetic resonance imaging study of a stochastic decision task. J Neurosci. 2004;24(7):1660–1665. doi: https://doi.org/10.1523/JNEUROSCI.3417-03.2004</mixed-citation></citation-alternatives></ref><ref id="cit44"><label>44</label><citation-alternatives><mixed-citation xml:lang="ru">O’Doherty J, Dayan P, Friston K, et al. Temporal difference models and reward-related learning in the human brain. Neuron. 2003;38:329–337</mixed-citation><mixed-citation xml:lang="en">O’Doherty J, Dayan P, Friston K, et al. Temporal difference models and reward-related learning in the human brain. Neuron. 2003;38:329–337</mixed-citation></citation-alternatives></ref><ref id="cit45"><label>45</label><citation-alternatives><mixed-citation xml:lang="ru">Doidge JL, Flora DB, Toplak ME. A Meta-Analytic Review of Sex Differences on Delay of Gratification and Temporal Discounting Tasks in ADHD and Typically Developing Samples. J Atten Disord. 2021;25(4):540–561. doi: https://doi.org/10.1177/1087054718815588</mixed-citation><mixed-citation xml:lang="en">Doidge JL, Flora DB, Toplak ME. A Meta-Analytic Review of Sex Differences on Delay of Gratification and Temporal Discounting Tasks in ADHD and Typically Developing Samples. J Atten Disord. 2021;25(4):540–561. doi: https://doi.org/10.1177/1087054718815588</mixed-citation></citation-alternatives></ref><ref id="cit46"><label>46</label><citation-alternatives><mixed-citation xml:lang="ru">Ziegler S, Pedersen ML, Mowinckel AM, Biele G. Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning. Neurosci Biobehav Rev. 2016;71:633–656. doi: https://doi.org/10.1016/j.neubiorev.2016.09.002</mixed-citation><mixed-citation xml:lang="en">Ziegler S, Pedersen ML, Mowinckel AM, Biele G. Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning. Neurosci Biobehav Rev. 2016;71:633–656. doi: https://doi.org/10.1016/j.neubiorev.2016.09.002</mixed-citation></citation-alternatives></ref><ref id="cit47"><label>47</label><citation-alternatives><mixed-citation xml:lang="ru">Luman M, Tripp G, Scheres A. Identifying the neurobiology of altered reinforcement sensitivity in ADHD: a review and research agenda. Neurosci Biobehav Rev. 2010;34(5):744–754. doi: https://doi.org/10.1016/j.neubiorev.2009.11.021</mixed-citation><mixed-citation xml:lang="en">Luman M, Tripp G, Scheres A. Identifying the neurobiology of altered reinforcement sensitivity in ADHD: a review and research agenda. Neurosci Biobehav Rev. 2010;34(5):744–754. doi: https://doi.org/10.1016/j.neubiorev.2009.11.021</mixed-citation></citation-alternatives></ref><ref id="cit48"><label>48</label><citation-alternatives><mixed-citation xml:lang="ru">Lisman JE, Grace AA. The Hippocampal-VTA Loop: Controlling the Entry of Information into Long-Term Memory. Neuron. 2005;46(5): 703–713. doi: https://doi.org/10.1016/j.neuron.2005.05.002</mixed-citation><mixed-citation xml:lang="en">Lisman JE, Grace AA. The Hippocampal-VTA Loop: Controlling the Entry of Information into Long-Term Memory. Neuron. 2005;46(5): 703–713. doi: https://doi.org/10.1016/j.neuron.2005.05.002</mixed-citation></citation-alternatives></ref><ref id="cit49"><label>49</label><citation-alternatives><mixed-citation xml:lang="ru">Prigge MBD, Lange N, Bigler ED, et al. A 16-year study of longitudinal volumetric brain development in males with autism. Neuroimage. 2021;236:118067. doi: https://doi.org/10.1016/j.neuroimage.2021.118067</mixed-citation><mixed-citation xml:lang="en">Prigge MBD, Lange N, Bigler ED, et al. A 16-year study of longitudinal volumetric brain development in males with autism. Neuroimage. 2021;236:118067. doi: https://doi.org/10.1016/j.neuroimage.2021.118067</mixed-citation></citation-alternatives></ref><ref id="cit50"><label>50</label><citation-alternatives><mixed-citation xml:lang="ru">Brovelli A, Nazarian B, Meunier M, Boussaoud D. Differential roles of caudate nucleus and putamen during instrumental learning. Neuroimage. 2011;57(4):1580–1590. doi: https://doi.org/10.1016/j.neuroimage.2011.05.059</mixed-citation><mixed-citation xml:lang="en">Brovelli A, Nazarian B, Meunier M, Boussaoud D. Differential roles of caudate nucleus and putamen during instrumental learning. Neuroimage. 2011;57(4):1580–1590. doi: https://doi.org/10.1016/j.neuroimage.2011.05.059</mixed-citation></citation-alternatives></ref><ref id="cit51"><label>51</label><citation-alternatives><mixed-citation xml:lang="ru">Haruno M, Kawato M. Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning. J Neurophysiol. 2006;95(2):948–959. doi: https://doi.org/10.1152/jn.00382.2005</mixed-citation><mixed-citation xml:lang="en">Haruno M, Kawato M. Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning. J Neurophysiol. 2006;95(2):948–959. doi: https://doi.org/10.1152/jn.00382.2005</mixed-citation></citation-alternatives></ref><ref id="cit52"><label>52</label><citation-alternatives><mixed-citation xml:lang="ru">Guida P, Michiels M, Redgrave P, et al. An fMRI metaanalysis of the role of the striatum in everyday-life vs laboratorydeveloped habits. Neurosci Biobehav Rev. 2022;141:104826. doi: https://doi.org/10.1016/j.neubiorev.2022.104826</mixed-citation><mixed-citation xml:lang="en">Guida P, Michiels M, Redgrave P, et al. An fMRI metaanalysis of the role of the striatum in everyday-life vs laboratorydeveloped habits. Neurosci Biobehav Rev. 2022;141:104826. doi: https://doi.org/10.1016/j.neubiorev.2022.104826</mixed-citation></citation-alternatives></ref><ref id="cit53"><label>53</label><citation-alternatives><mixed-citation xml:lang="ru">Sowell ER, Thompson PM, Welcome SE, et al. Cortical abnormalities in children and adolescents with attention-deficit hyperactivity disorder. Lancet. 2003;362(9397):1699–1707. doi: https://doi.org/10.1016/S0140-6736(03)14842-8</mixed-citation><mixed-citation xml:lang="en">Sowell ER, Thompson PM, Welcome SE, et al. Cortical abnormalities in children and adolescents with attention-deficit hyperactivity disorder. Lancet. 2003;362(9397):1699–1707. doi: https://doi.org/10.1016/S0140-6736(03)14842-8</mixed-citation></citation-alternatives></ref><ref id="cit54"><label>54</label><citation-alternatives><mixed-citation xml:lang="ru">Valera EM, Faraone SV, Murray KE, Seidman LJ. Meta-analysis of structural imaging findings in attention-deficit/hyperactivity disorder. Biol Psychiatry. 2007;61(12):1361–1369. doi: https://doi.org/10.1016/j.biopsych.2006.06.011</mixed-citation><mixed-citation xml:lang="en">Valera EM, Faraone SV, Murray KE, Seidman LJ. Meta-analysis of structural imaging findings in attention-deficit/hyperactivity disorder. Biol Psychiatry. 2007;61(12):1361–1369. doi: https:// doi.org/10.1016/j.biopsych.2006.06.011</mixed-citation></citation-alternatives></ref><ref id="cit55"><label>55</label><citation-alternatives><mixed-citation xml:lang="ru">Hart H, Radua J, Nakao T, et al. Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects. JAMA Psychiatry. 2013;70(2):185–198. doi: https://doi.org/10.1001/jamapsychiatry.2013.277</mixed-citation><mixed-citation xml:lang="en">Hart H, Radua J, Nakao T, et al. Meta-analysis of functional magnetic resonance imaging studies of inhibition and attention in attention-deficit/hyperactivity disorder: exploring task-specific, stimulant medication, and age effects. JAMA Psychiatry. 2013;70(2):185–198. doi: https://doi.org/10.1001/jamapsychiatry.2013.277</mixed-citation></citation-alternatives></ref><ref id="cit56"><label>56</label><citation-alternatives><mixed-citation xml:lang="ru">Каркашадзе Г.А., Гогберашвили Т.Ю., Константиниди Т.А. и др. Одномоментное популяционное исследование распространенности легких когнитивных нарушений у детей среднего школьного возраста // Вестник Российской академии медицинских наук. — 2023. — Т. 78. — № 4. — С. 329–347. — doi: https://doi.org/10.15690/vramn12460</mixed-citation><mixed-citation xml:lang="en">Karkashadze GA, Kaitukova EV, Gogberashvili TY, et al. A Single-Stage Population-Based Study of the Relationship between Cognitive and Somatic Health Parameters in Children of Secondary School Age. Annals of the Russian Academy of Medical Sciences. 2023;78(5):408–430. doi: https://doi.org/10.15690/vramn14392]</mixed-citation></citation-alternatives></ref><ref id="cit57"><label>57</label><citation-alternatives><mixed-citation xml:lang="ru">Shiohama T, Ortug A, Warren JLA, et al. Small Nucleus Accumbens and Large Cerebral Ventricles in Infants and Toddlers Prior to Receiving Diagnoses of Autism Spectrum Disorder. Cereb Cortex. 2022;32(6):1200–1211. doi: https://doi.org/10.1093/cercor/bhab283</mixed-citation><mixed-citation xml:lang="en">Shiohama T, Ortug A, Warren JLA, et al. Small Nucleus Accumbens and Large Cerebral Ventricles in Infants and Toddlers Prior to Receiving Diagnoses of Autism Spectrum Disorder. Cereb Cortex. 2022;32(6):1200–1211. doi: https://doi.org/10.1093/cercor/bhab283</mixed-citation></citation-alternatives></ref><ref id="cit58"><label>58</label><citation-alternatives><mixed-citation xml:lang="ru">Chao CP, Zaleski CG, Patton AC. Neonatal hypoxic-ischemic encephalopathy: multimodality imaging findings. Radiographics. 2006;26(Suppl 1):S159–S172. doi: https://doi.org/10.1148/rg.26si065504</mixed-citation><mixed-citation xml:lang="en">Chao CP, Zaleski CG, Patton AC. Neonatal hypoxic-ischemic encephalopathy: multimodality imaging findings. Radiographics. 2006;26(Suppl 1):S159–S172. doi: https://doi.org/10.1148/rg.26si065504</mixed-citation></citation-alternatives></ref><ref id="cit59"><label>59</label><citation-alternatives><mixed-citation xml:lang="ru">Fichera G, Stramare R, Bisogno G, et al. Neonatal cerebral ultrasound: anatomical variants and age-related diseases. J Ultrasound. 2024;27(4):993–1002. doi: https://doi.org/10.1007/s40477-024-00914-8</mixed-citation><mixed-citation xml:lang="en">Fichera G, Stramare R, Bisogno G, et al. Neonatal cerebral ultrasound: anatomical variants and age-related diseases. J Ultrasound. 2024;27(4):993–1002. doi: https://doi.org/10.1007/s40477-024-00914-8</mixed-citation></citation-alternatives></ref><ref id="cit60"><label>60</label><citation-alternatives><mixed-citation xml:lang="ru">Varghese B, Xavier R, Manoj VC, et al. Magnetic resonance imaging spectrum of perinatal hypoxic-ischemic brain injury. Indian J Radiol Imaging. 2016;26(3):316–327. doi: https://doi.org/10.4103/0971-3026.190421</mixed-citation><mixed-citation xml:lang="en">Varghese B, Xavier R, Manoj VC, et al. Magnetic resonance imaging spectrum of perinatal hypoxic-ischemic brain injury. Indian J Radiol Imaging. 2016;26(3):316–327. doi: https://doi.org/10.4103/0971-3026.190421</mixed-citation></citation-alternatives></ref><ref id="cit61"><label>61</label><citation-alternatives><mixed-citation xml:lang="ru"></mixed-citation><mixed-citation xml:lang="en"></mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
