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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Bulletin of Kemerovo State University. Series: Humanities and Social Sciences</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Bulletin of Kemerovo State University. Series: Humanities and Social Sciences</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Вестник Кемеровского государственного университета. Серия: Гуманитарные и общественные науки</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2542-1840</issn>
   <issn publication-format="online">2541-9145</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">98572</article-id>
   <article-id pub-id-type="doi">10.21603/2542-1840-2025-9-3-337-351</article-id>
   <article-id pub-id-type="edn">ddlojo</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Междисциплинарные исследования когнитивных процессов</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Interdisciplinary Cognitive Studies</subject>
    </subj-group>
    <subj-group>
     <subject>Междисциплинарные исследования когнитивных процессов</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Longitudinal EEG Research on Typically Developed Populations: A Review</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Лонгитюдные исследования нейротипичного развития с использованием ЭЭГ: обзор зарубежных исследований</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Павлова</surname>
       <given-names>Анна Андреевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Pavlova</surname>
       <given-names>Anna Andreevna</given-names>
      </name>
     </name-alternatives>
     <email>anna5195@yandex.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Высшая школа экономики</institution>
     <city>Moscow</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">National Research University Higher School of Economics</institution>
     <city>Moscow</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-09-30T04:23:54+03:00">
    <day>30</day>
    <month>09</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-09-30T04:23:54+03:00">
    <day>30</day>
    <month>09</month>
    <year>2025</year>
   </pub-date>
   <volume>9</volume>
   <issue>3</issue>
   <fpage>337</fpage>
   <lpage>351</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-05-08T00:00:00+03:00">
     <day>08</day>
     <month>05</month>
     <year>2025</year>
    </date>
    <date date-type="accepted" iso-8601-date="2025-07-04T00:00:00+03:00">
     <day>04</day>
     <month>07</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://naukaru.ru/en/nauka/article/98572/view">https://naukaru.ru/en/nauka/article/98572/view</self-uri>
   <abstract xml:lang="ru">
    <p>В статье впервые обобщаются результаты лонгитюдных ЭЭГ-исследований, проведенных на нейро­типичных популяциях. Цель – выявить ключевые направления лонгитюдных ЭЭГ-исследований на нейро­типичных популяциях, малоисследованные аспекты, а также обобщить основные результаты в рамках каждого из направлений. В результате выявлено 4 основных направления исследований: возрастные изменения ЭЭГ, изменения ЭЭГ после воздействия, ЭЭГ-предикторы социально-эмоциональной сферы, ЭЭГ-предикторы когнитивных навыков. В исследованиях возрастных изменений ЭЭГ описывается снижение апериодической активности мозга в младенческом возрасте, а также снижение активности на низких частотах (дельта- и тета-диапазоны) и повышение активности на высоких частотах (альфа- и бета-диапазоны) как в покое, так и во время сна в детском и подростковом возрасте. В исследованиях изменения ЭЭГ после воздействия подчеркивается влияние медитаций и тренингов осознанности на функционирование мозга (снижение числа и мощности микросостояний) и поведенческие характеристики (повышение стрессо­устойчивости и осознанности). В исследованиях социально-эмоциональной сферы раскрывается важность асимметрии активации во фронтальных долях (большая активация в правом полушарии) как предиктора ряда неадаптивных поведенческих черт – общей и социальной тревожности, стеснительности, предпочтения стратегий избегания. Особенно выражена эта связь для лиц, имеющих поведенческие предрасположенности к развитию данных признаков. В исследованиях когнитивных навыков сообщается о большей локализации нейронной активации в ответ на задачу у детей старшего возраста, что связано с улучшением выполнения заданий по мере взросления. Высокая синхронизация различных ритмов также связана с высокими когнитивными способностями у детей и взрослых. Сделан вывод о необходимости проведения лонгитюдных ЭЭГ-исследований, посвященных развитию когнитивных навыков у подростков.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>This review provides the first comprehensive summary of longitudinal electroencephalographic (EEG) studies conducted on neurotypical populations. The objective was to identify the key areas of longitudinal EEG studies in neurotypical populations, define the understudied aspects, and summarize the main results in each area. The review revealed four primary research directions: (1) developmental changes in EEG, (2) EEG changes following interventions, (3) EEG predictors of socio-emotional functioning, (3) EEG predictors of cognitive abilities. The key developmental EEG changes included a decrease in aperiodic brain activity during infancy, as well as a reduction in low-frequency activity (delta and theta bands) and an increase in high-frequency activity (alpha and beta bands) during rest and sleep in childhood and adolescence. The studies on post-intervention changes highlighted the impact of meditation and mindfulness training on brain functioning (reduced occurrence and power of microstates) and behavioral characteristics (increased stress resilience and mindfulness). The publications on the socio-emotional domain emphasized the importance of frontal asymmetry (greater activation in the right hemisphere) as a predictor of maladaptive behavioral traits, such as general and social anxiety, shyness, and a preference for avoidance strategies. This correlation was reported as typical of individuals with behavioral predispositions to the abovementioned traits. Cognitive studies demonstrated a greater localization of neural activation in response to tasks in older children, which correlated with improved task performance. The high synchronization of various rhythms was also associated with superior cognitive abilities in both children and adults. The review revealed a gap in longitudinal EEG research focused on the development of cognitive skills in teenagers.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>ЭЭГ</kwd>
    <kwd>лонгитюдные исследования</kwd>
    <kwd>возрастные изменения</kwd>
    <kwd>когнитивные навыки</kwd>
    <kwd>личностные черты</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>EEG</kwd>
    <kwd>longitude</kwd>
    <kwd>developmental changes</kwd>
    <kwd>cognitive skills</kwd>
    <kwd>personality traits</kwd>
   </kwd-group>
  </article-meta>
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 <back>
  <ref-list>
   <ref id="B1">
    <label>1.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Segalowitz S. J., Santesso D. L., Jetha M. K. Electrophysiological changes during adolescence: A review. Brain and Cognition, 2010, 72(1): 86–100. https://doi.org/10.1016/j.bandc.2009.10.003</mixed-citation>
     <mixed-citation xml:lang="en">Segalowitz S. J., Santesso D. L., Jetha M. K. Electrophysiological changes during adolescence: A review. Brain and Cognition, 2010, 72(1): 86–100. https://doi.org/10.1016/j.bandc.2009.10.003</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B2">
    <label>2.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zhang H., Zhou Q. Q., Chen H., Hu X. Q., Li W. G., Bai Y., Han J. X., Wang Y., Liang Z. H., Chen D., Cong F. Y., Yan J. Q., Li X. L. The applied principles of EEG analysis methods in neuroscience and clinical neurology. Military Medical Research, 2023, 10(1). https://doi.org/10.1186/s40779-023-00502-7</mixed-citation>
     <mixed-citation xml:lang="en">Zhang H., Zhou Q. Q., Chen H., Hu X. Q., Li W. G., Bai Y., Han J. X., Wang Y., Liang Z. H., Chen D., Cong F. Y., Yan J. Q., Li X. L. The applied principles of EEG analysis methods in neuroscience and clinical neurology. Military Medical Research, 2023, 10(1). https://doi.org/10.1186/s40779-023-00502-7</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B3">
    <label>3.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Müller-Putz G. R. Electroencephalography. Handbook of Clinical Neurology, 2020, 168: 249–262. https://doi.org/10.1016/B978-0-444-63934-9.00018-4</mixed-citation>
     <mixed-citation xml:lang="en">Müller-Putz G. R. Electroencephalography. Handbook of Clinical Neurology, 2020, 168: 249–262. https://doi.org/10.1016/B978-0-444-63934-9.00018-4</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B4">
    <label>4.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Seneviratne U., D'Souza W. J. Ambulatory EEG. Handbook of clinical neurology, 2019, 160: 161–170. https://doi.org/10.1016/B978-0-444-64032-1.00010-2</mixed-citation>
     <mixed-citation xml:lang="en">Seneviratne U., D'Souza W. J. Ambulatory EEG. Handbook of clinical neurology, 2019, 160: 161–170. https://doi.org/10.1016/B978-0-444-64032-1.00010-2</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B5">
    <label>5.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Romagnoli S., Franchi F., Ricci Z. Processed EEG monitoring for anesthesia and intensive care practice. Minerva Anestesiologica, 2019, 85(11): 1219–1230. https://doi.org/10.23736/S0375-9393.19.13478-5</mixed-citation>
     <mixed-citation xml:lang="en">Romagnoli S., Franchi F., Ricci Z. Processed EEG monitoring for anesthesia and intensive care practice. Minerva Anestesiologica, 2019, 85(11): 1219–1230. https://doi.org/10.23736/S0375-9393.19.13478-5</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B6">
    <label>6.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Omejc N., Rojc B., Battaglini P. P., Marusic U. Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback. Bosnian Journal of Basic Medical Sciences, 2019, 19(3): 213–220. https://doi.org/10.17305/bjbms.2018.3785</mixed-citation>
     <mixed-citation xml:lang="en">Omejc N., Rojc B., Battaglini P. P., Marusic U. Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback. Bosnian Journal of Basic Medical Sciences, 2019, 19(3): 213–220. https://doi.org/10.17305/bjbms.2018.3785</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B7">
    <label>7.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">McSweeney M., Morales S., Valadez E. A., Buzzell G. A., Fox N. A. Longitudinal age- and sex-related change in background aperiodic activity during early adolescence. Developmental Cognitive Neuroscience, 2021, 52. https://doi.org/10.1016/j.dcn.2021.101035</mixed-citation>
     <mixed-citation xml:lang="en">McSweeney M., Morales S., Valadez E. A., Buzzell G. A., Fox N. A. Longitudinal age- and sex-related change in background aperiodic activity during early adolescence. Developmental Cognitive Neuroscience, 2021, 52. https://doi.org/10.1016/j.dcn.2021.101035</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B8">
    <label>8.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">McKeon S. D., Perica M. I., Parr A. C., Calabro F. J., Foran W., Hetherington H., Moon C.-H., Luna B. Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence. bioRxiv, 2023. https://doi.org/10.1101/2023.09.06.556453</mixed-citation>
     <mixed-citation xml:lang="en">McKeon S. D., Perica M. I., Parr A. C., Calabro F. J., Foran W., Hetherington H., Moon C.-H., Luna B. Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence. bioRxiv, 2023. https://doi.org/10.1101/2023.09.06.556453</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B9">
    <label>9.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Cragg L., Kovacevic N., McIntosh A. R., Poulsen C., Martinu K., Leonard G., Paus T. Maturation of EEG power spectra in early adolescence: A longitudinal study. Developmental Science, 2011, 14(5): 935–943. https://doi.org/10.1111/j.1467-7687.2010.01031.x</mixed-citation>
     <mixed-citation xml:lang="en">Cragg L., Kovacevic N., McIntosh A. R., Poulsen C., Martinu K., Leonard G., Paus T. Maturation of EEG power spectra in early adolescence: A longitudinal study. Developmental Science, 2011, 14(5): 935–943. https://doi.org/10.1111/j.1467-7687.2010.01031.x</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B10">
    <label>10.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Soroko S. I., Shemyakina N. V., Nagornova Z. V., Bekshaev S. S. Longitudinal study of EEG frequency maturation and power changes in children on the Russian North. International Journal of Developmental Neuroscience, 2014, 38: 127–137. https://doi.org/10.1016/j.ijdevneu.2014.08.012</mixed-citation>
     <mixed-citation xml:lang="en">Soroko S. I., Shemyakina N. V., Nagornova Z. V., Bekshaev S. S. Longitudinal study of EEG frequency maturation and power changes in children on the Russian North. International Journal of Developmental Neuroscience, 2014, 38: 127–137. https://doi.org/10.1016/j.ijdevneu.2014.08.012</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B11">
    <label>11.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Jackson A. F., Bolger D. J. The neurophysiological bases of EEG and EEG measurement: A review for the rest of us. Psychophysiology, 2014, 51(11): 1061–1071. https://doi.org/10.1111/psyp.12283</mixed-citation>
     <mixed-citation xml:lang="en">Jackson A. F., Bolger D. J. The neurophysiological bases of EEG and EEG measurement: A review for the rest of us. Psychophysiology, 2014, 51(11): 1061–1071. https://doi.org/10.1111/psyp.12283</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B12">
    <label>12.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Chan H. L., Kuo P. C., Cheng C. Y., Chen Y. S. Challenges and future perspectives on electroencephalogram-based biometrics in person recognition. Frontiers in Neuroinformatics, 2018, 12. https://doi.org/10.3389/fninf.2018.00066</mixed-citation>
     <mixed-citation xml:lang="en">Chan H. L., Kuo P. C., Cheng C. Y., Chen Y. S. Challenges and future perspectives on electroencephalogram-based biometrics in person recognition. Frontiers in Neuroinformatics, 2018, 12. https://doi.org/10.3389/fninf.2018.00066</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B13">
    <label>13.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zhong W., An X., Di Y., Zhang L., Ming D. Review on identity feature extraction methods based on electroencephalogram signals. Journal of Biomedical Engineering, 2021, 38(6): 1203–1210. https://doi.org/10.7507/1001-5515.202102057</mixed-citation>
     <mixed-citation xml:lang="en">Zhong W., An X., Di Y., Zhang L., Ming D. Review on identity feature extraction methods based on electroencephalogram signals. Journal of Biomedical Engineering, 2021, 38(6): 1203–1210. https://doi.org/10.7507/1001-5515.202102057</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B14">
    <label>14.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Ahmadieh H., Ghassemi F. Assessing the effects of Alzheimer disease on EEG signals using the entropy measure: A meta-analysis. Basic and Clinical Neuroscience, 2022, 13(2): 153–164. https://doi.org/10.32598/bcn.2021.1144.3</mixed-citation>
     <mixed-citation xml:lang="en">Ahmadieh H., Ghassemi F. Assessing the effects of Alzheimer disease on EEG signals using the entropy measure: A meta-analysis. Basic and Clinical Neuroscience, 2022, 13(2): 153–164. https://doi.org/10.32598/bcn.2021.1144.3</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B15">
    <label>15.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Smailovic U., Jelic V. Neurophysiological markers of Alzheimer's disease: Quantitative EEG approach. Neurology and Therapy, 2019, 8: 37–55. https://doi.org/10.1007/s40120-019-00169-0</mixed-citation>
     <mixed-citation xml:lang="en">Smailovic U., Jelic V. Neurophysiological markers of Alzheimer's disease: Quantitative EEG approach. Neurology and Therapy, 2019, 8: 37–55. https://doi.org/10.1007/s40120-019-00169-0</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B16">
    <label>16.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Bangert M., Altenmüller E. O. Mapping perception to action in piano practice: A longitudinal DC-EEG study. BMC Neuroscience, 2003, 4. https://doi.org/10.1186/1471-2202-4-26</mixed-citation>
     <mixed-citation xml:lang="en">Bangert M., Altenmüller E. O. Mapping perception to action in piano practice: A longitudinal DC-EEG study. BMC Neuroscience, 2003, 4. https://doi.org/10.1186/1471-2202-4-26</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B17">
    <label>17.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Shaw S. B., Levy Y., Mizzi A., Herman G., McKinnon M. C., Heisz J. J., Becker S. Combined aerobic exercise and neurofeedback lead to improved task-relevant intrinsic network synchrony. Frontiers in Human Neuroscience, 2022, 16. https://doi.org/10.3389/fnhum.2022.838614</mixed-citation>
     <mixed-citation xml:lang="en">Shaw S. B., Levy Y., Mizzi A., Herman G., McKinnon M. C., Heisz J. J., Becker S. Combined aerobic exercise and neurofeedback lead to improved task-relevant intrinsic network synchrony. Frontiers in Human Neuroscience, 2022, 16. https://doi.org/10.3389/fnhum.2022.838614</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B18">
    <label>18.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Kavčič A., Demšar J., Georgiev D., Bon J., Soltirovska-Šalamon A. Age-related changes and sex-related differences of functional brain networks in childhood: A high-density EEG study. Clinical Neurophysiology, 2023, 150: 216–226. https://doi.org/10.1016/j.clinph.2023.03.357</mixed-citation>
     <mixed-citation xml:lang="en">Kavčič A., Demšar J., Georgiev D., Bon J., Soltirovska-Šalamon A. Age-related changes and sex-related differences of functional brain networks in childhood: A high-density EEG study. Clinical Neurophysiology, 2023, 150: 216–226. https://doi.org/10.1016/j.clinph.2023.03.357</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B19">
    <label>19.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Kroupi E., JH Jones E., Oakley B., Buitelaar J., Charman T., Loth E., Murphy D., Soria-Frisch A. Age-related differences in delta-beta phase-amplitude coupling in autistic individuals. Clinical Neurophysiology, 2024, 167: 74–83. https://doi.org/10.1016/j.clinph.2024.08.010</mixed-citation>
     <mixed-citation xml:lang="en">Kroupi E., JH Jones E., Oakley B., Buitelaar J., Charman T., Loth E., Murphy D., Soria-Frisch A. Age-related differences in delta-beta phase-amplitude coupling in autistic individuals. Clinical Neurophysiology, 2024, 167: 74–83. https://doi.org/10.1016/j.clinph.2024.08.010</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B20">
    <label>20.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Raudenbush S. W. Comparing personal trajectories and drawing causal inferences from longitudinal data. Annual Review of Psychology, 2001, 52: 501–525. https://doi.org/10.1146/annurev.psych.52.1.501</mixed-citation>
     <mixed-citation xml:lang="en">Raudenbush S. W. Comparing personal trajectories and drawing causal inferences from longitudinal data. Annual Review of Psychology, 2001, 52: 501–525. https://doi.org/10.1146/annurev.psych.52.1.501</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B21">
    <label>21.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Boland J., Telesca D., Sugar C., Jeste S., Goldbeck C., Senturk D. A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment. Computational Statistics &amp; Data Analysis, 2022, 167. https://doi.org/10.1016/j.csda.2021.107367</mixed-citation>
     <mixed-citation xml:lang="en">Boland J., Telesca D., Sugar C., Jeste S., Goldbeck C., Senturk D. A study of longitudinal trends in time-frequency transformations of EEG data during a learning experiment. Computational Statistics &amp; Data Analysis, 2022, 167. https://doi.org/10.1016/j.csda.2021.107367</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B22">
    <label>22.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Ricci A., He F., Calhoun S. L., Fang J., Vgontzas A. N., Liao D., Bixler E. O., Younes M., Fernandez-Mendoza J. Sex and pubertal differences in the maturational trajectories of sleep spindles in the transition from childhood to adolescence: A population-based study. eNeuro, 2021, 8(4). https://doi.org/10.1523/eneuro.0257-21.2021</mixed-citation>
     <mixed-citation xml:lang="en">Ricci A., He F., Calhoun S. L., Fang J., Vgontzas A. N., Liao D., Bixler E. O., Younes M., Fernandez-Mendoza J. Sex and pubertal differences in the maturational trajectories of sleep spindles in the transition from childhood to adolescence: A population-based study. eNeuro, 2021, 8(4). https://doi.org/10.1523/eneuro.0257-21.2021</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B23">
    <label>23.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Dawson G., Rieder A. D., Johnson M. H. Prediction of autism in infants: Progress and challenges. The Lancet Neurology, 2023, 22(3): 244–254. https://doi.org/10.1016/S1474-4422(22)00407-0</mixed-citation>
     <mixed-citation xml:lang="en">Dawson G., Rieder A. D., Johnson M. H. Prediction of autism in infants: Progress and challenges. The Lancet Neurology, 2023, 22(3): 244–254. https://doi.org/10.1016/S1474-4422(22)00407-0</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B24">
    <label>24.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Giannakopoulos P., Missonnier P., Gold G., Michon A. Electrophysiological markers of rapid cognitive decline in mild cognitive impairment. Frontiers of Neurology and Neuroscience, 2009, 24: 39–46. https://doi.org/10.1159/000197898</mixed-citation>
     <mixed-citation xml:lang="en">Giannakopoulos P., Missonnier P., Gold G., Michon A. Electrophysiological markers of rapid cognitive decline in mild cognitive impairment. Frontiers of Neurology and Neuroscience, 2009, 24: 39–46. https://doi.org/10.1159/000197898</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B25">
    <label>25.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Jeong J. EEG dynamics in patients with Alzheimer's disease. Clinical Neurophysiology, 2004, 115(7): 1490–1505. https://doi.org/10.1016/j.clinph.2004.01.001</mixed-citation>
     <mixed-citation xml:lang="en">Jeong J. EEG dynamics in patients with Alzheimer's disease. Clinical Neurophysiology, 2004, 115(7): 1490–1505. https://doi.org/10.1016/j.clinph.2004.01.001</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B26">
    <label>26.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Dijkstra F., de Volder I., Viaene M., Cras P., Crosiers D. Polysomnographic predictors of sleep, motor, and cognitive dysfunction progression in Parkinson’s disease. Current Neurology and Neuroscience Reports, 2022, 22(10): 657–674. https://doi.org/10.1007/s11910-022-01226-2</mixed-citation>
     <mixed-citation xml:lang="en">Dijkstra F., de Volder I., Viaene M., Cras P., Crosiers D. Polysomnographic predictors of sleep, motor, and cognitive dysfunction progression in Parkinson’s disease. Current Neurology and Neuroscience Reports, 2022, 22(10): 657–674. https://doi.org/10.1007/s11910-022-01226-2</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B27">
    <label>27.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Arheix-Parras S., Glize B., Guehl D., Python G. Electrophysiological changes in patients with post-stroke aphasia: A systematic review. Brain Topography, 2023, 36: 135–171. https://doi.org/10.1007/s10548-023-00941-4</mixed-citation>
     <mixed-citation xml:lang="en">Arheix-Parras S., Glize B., Guehl D., Python G. Electrophysiological changes in patients with post-stroke aphasia: A systematic review. Brain Topography, 2023, 36: 135–171. https://doi.org/10.1007/s10548-023-00941-4</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B28">
    <label>28.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Watts D., Pulice R. F., Reilly J., Brunoni A. R., Kapczinski F., Passos I. C. Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis. Translational Psychiatry, 2022, 12(1). https://doi.org/10.1038/s41398-022-02064-z</mixed-citation>
     <mixed-citation xml:lang="en">Watts D., Pulice R. F., Reilly J., Brunoni A. R., Kapczinski F., Passos I. C. Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis. Translational Psychiatry, 2022, 12(1). https://doi.org/10.1038/s41398-022-02064-z</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B29">
    <label>29.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Jacobs R. H., Orr J. L., Gowins J. R., Forbes E. E., Langenecker S. A. Biomarkers of intergenerational risk for depression: A review of mechanisms in longitudinal high-risk (LHR) studies. Journal of Affective Disorders, 2015, 175: 494–506. https://doi.org/10.1016/j.jad.2015.01.038</mixed-citation>
     <mixed-citation xml:lang="en">Jacobs R. H., Orr J. L., Gowins J. R., Forbes E. E., Langenecker S. A. Biomarkers of intergenerational risk for depression: A review of mechanisms in longitudinal high-risk (LHR) studies. Journal of Affective Disorders, 2015, 175: 494–506. https://doi.org/10.1016/j.jad.2015.01.038</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B30">
    <label>30.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Bel-Bahar T. S., Khan A. A., Shaik R. B., Parvaz M. A. A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment. Frontiers in Human Neuroscience, 2022, 16. https://doi.org/10.3389/fnhum.2022.995534</mixed-citation>
     <mixed-citation xml:lang="en">Bel-Bahar T. S., Khan A. A., Shaik R. B., Parvaz M. A. A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment. Frontiers in Human Neuroscience, 2022, 16. https://doi.org/10.3389/fnhum.2022.995534</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B31">
    <label>31.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Abbott C. C., Gallegos P., Rediske N., Lemke N. T., Quinn D. K. A review of longitudinal electroconvulsive therapy: Neuroimaging investigations. Journal of Geriatric Psychiatry and Neurology, 2014, 27(1): 33–46. https://doi.org/10.1177/0891988713516542</mixed-citation>
     <mixed-citation xml:lang="en">Abbott C. C., Gallegos P., Rediske N., Lemke N. T., Quinn D. K. A review of longitudinal electroconvulsive therapy: Neuroimaging investigations. Journal of Geriatric Psychiatry and Neurology, 2014, 27(1): 33–46. https://doi.org/10.1177/0891988713516542</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B32">
    <label>32.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Feinberg I., Campbell I. G. Sleep EEG changes during adolescence: An index of a fundamental brain reorganization. Brain and Cognition, 2010, 72(1): 56–65. https://doi.org/10.1016/j.bandc.2009.09.008</mixed-citation>
     <mixed-citation xml:lang="en">Feinberg I., Campbell I. G. Sleep EEG changes during adolescence: An index of a fundamental brain reorganization. Brain and Cognition, 2010, 72(1): 56–65. https://doi.org/10.1016/j.bandc.2009.09.008</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B33">
    <label>33.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Schaworonkow N., Voytek B. Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life. Developmental Cognitive Neuroscience, 2021, 47. https://doi.org/10.1016/j.dcn.2020.100895</mixed-citation>
     <mixed-citation xml:lang="en">Schaworonkow N., Voytek B. Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life. Developmental Cognitive Neuroscience, 2021, 47. https://doi.org/10.1016/j.dcn.2020.100895</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B34">
    <label>34.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Rico-Picó J., Moyano S., Conejero Á., Hoyo Á., Ballesteros-Duperón M. Á., Rueda M. R. Early development of electrophysiological activity: Contribution of periodic and aperiodic components of the EEG signal. Psychophysiology, 2023, 60(11). https://doi.org/10.1111/psyp.14360</mixed-citation>
     <mixed-citation xml:lang="en">Rico-Picó J., Moyano S., Conejero Á., Hoyo Á., Ballesteros-Duperón M. Á., Rueda M. R. Early development of electrophysiological activity: Contribution of periodic and aperiodic components of the EEG signal. Psychophysiology, 2023, 60(11). https://doi.org/10.1111/psyp.14360</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B35">
    <label>35.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Wilkinson C. L., Yankowitz L. D., Chao J. Y., Gutiérrez R., Rhoades J. L., Shinnar S., Purdon P. L., Nelson C. A. Developmental trajectories of EEG aperiodic and periodic components in children 2–44 months of age. Nature Communications, 2024, 15(1). https://doi.org/10.1038/s41467-024-50204-4</mixed-citation>
     <mixed-citation xml:lang="en">Wilkinson C. L., Yankowitz L. D., Chao J. Y., Gutiérrez R., Rhoades J. L., Shinnar S., Purdon P. L., Nelson C. A. Developmental trajectories of EEG aperiodic and periodic components in children 2–44 months of age. Nature Communications, 2024, 15(1). https://doi.org/10.1038/s41467-024-50204-4</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B36">
    <label>36.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Howarth G. Z., Fettig N. B., Curby T. W., Bell M. A. Frontal electroencephalogram asymmetry and temperament across infancy and early childhood: An exploration of stability and bidirectional relations. Child Development, 2016, 87(2): 465–476. https://doi.org/10.1111/cdev.12466</mixed-citation>
     <mixed-citation xml:lang="en">Howarth G. Z., Fettig N. B., Curby T. W., Bell M. A. Frontal electroencephalogram asymmetry and temperament across infancy and early childhood: An exploration of stability and bidirectional relations. Child Development, 2016, 87(2): 465–476. https://doi.org/10.1111/cdev.12466</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B37">
    <label>37.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Jenni O. G., Borbély A. A., Achermann P. Development of the nocturnal sleep electroencephalogram in human infants. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2004, 286(3): R528–R538. https://doi.org/10.1152/ajpregu.00503.2003</mixed-citation>
     <mixed-citation xml:lang="en">Jenni O. G., Borbély A. A., Achermann P. Development of the nocturnal sleep electroencephalogram in human infants. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2004, 286(3): R528–R538. https://doi.org/10.1152/ajpregu.00503.2003</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B38">
    <label>38.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Beaugrand M., Jaramillo V., Markovic A., Huber R., Kohler M., Schoch S. F., Kurth S. Lack of association between behavioral development and simplified topographical markers of the sleep EEG in infancy. Neurobiology of Sleep and Circadian Rhythms, 2023, 15. https://doi.org/10.1016/j.nbscr.2023.100098</mixed-citation>
     <mixed-citation xml:lang="en">Beaugrand M., Jaramillo V., Markovic A., Huber R., Kohler M., Schoch S. F., Kurth S. Lack of association between behavioral development and simplified topographical markers of the sleep EEG in infancy. Neurobiology of Sleep and Circadian Rhythms, 2023, 15. https://doi.org/10.1016/j.nbscr.2023.100098</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B39">
    <label>39.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">LeBourgeois M. K., Dean D. C., Deoni S. C. L., Kohler M., Kurth S. A simple sleep EEG marker in childhood predicts brain myelin 3.5 years later. NeuroImage, 2019, 199: 342–350. https://doi.org/10.1016/j.neuroimage.2019.05.072</mixed-citation>
     <mixed-citation xml:lang="en">LeBourgeois M. K., Dean D. C., Deoni S. C. L., Kohler M., Kurth S. A simple sleep EEG marker in childhood predicts brain myelin 3.5 years later. NeuroImage, 2019, 199: 342–350. https://doi.org/10.1016/j.neuroimage.2019.05.072</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B40">
    <label>40.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Attaheri A., Choisdealbha Á. N., Di Liberto G. M., Rocha S., Brusini P., Mead N., Olawole-Scott H., Boutris P., Gibbon S., Williams I., Grey C., Flanagan S., Goswami U. Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage, 2022, 247. https://doi.org/10.1016/j.neuroimage.2021.118698</mixed-citation>
     <mixed-citation xml:lang="en">Attaheri A., Choisdealbha Á. N., Di Liberto G. M., Rocha S., Brusini P., Mead N., Olawole-Scott H., Boutris P., Gibbon S., Williams I., Grey C., Flanagan S., Goswami U. Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage, 2022, 247. https://doi.org/10.1016/j.neuroimage.2021.118698</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B41">
    <label>41.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Van der Velde B., White T., Kemner C. The emergence of a theta social brain network during infancy. NeuroImage, 2021, 240. https://doi.org/10.1016/j.neuroimage.2021.118298</mixed-citation>
     <mixed-citation xml:lang="en">Van der Velde B., White T., Kemner C. The emergence of a theta social brain network during infancy. NeuroImage, 2021, 240. https://doi.org/10.1016/j.neuroimage.2021.118298</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B42">
    <label>42.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Lustenberger C., Mouthon A. L., Tesler N., Kurth S., Ringli M., Buchmann A., Jenni O. G., Huber R. Developmental trajectories of EEG sleep slow wave activity as a marker for motor skill development during adolescence: A pilot study. Developmental Psychobiology, 2017, 59(1): 5–14. https://doi.org/10.1002/dev.21446</mixed-citation>
     <mixed-citation xml:lang="en">Lustenberger C., Mouthon A. L., Tesler N., Kurth S., Ringli M., Buchmann A., Jenni O. G., Huber R. Developmental trajectories of EEG sleep slow wave activity as a marker for motor skill development during adolescence: A pilot study. Developmental Psychobiology, 2017, 59(1): 5–14. https://doi.org/10.1002/dev.21446</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B43">
    <label>43.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Dünki R. M., Schmid G. B., Stassen H. H. Intraindividual specificity and stability of human EEG: Comparing a linear vs a nonlinear approach. Methods of Information in Medicine, 2000, 39(1): 78–82. https://doi.org/10.1055/s-0038-1634249</mixed-citation>
     <mixed-citation xml:lang="en">Dünki R. M., Schmid G. B., Stassen H. H. Intraindividual specificity and stability of human EEG: Comparing a linear vs a nonlinear approach. Methods of Information in Medicine, 2000, 39(1): 78–82. https://doi.org/10.1055/s-0038-1634249</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B44">
    <label>44.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Maiorana E., Campisi P. Longitudinal evaluation of EEG-based biometric recognition. IEEE Transactions on Information Forensics and Security, 2018, 13(5): 1123–1138. https://doi.org/10.1109/tifs.2017.2778010</mixed-citation>
     <mixed-citation xml:lang="en">Maiorana E., Campisi P. Longitudinal evaluation of EEG-based biometric recognition. IEEE Transactions on Information Forensics and Security, 2018, 13(5): 1123–1138. https://doi.org/10.1109/tifs.2017.2778010</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B45">
    <label>45.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Vandenbosch M. M. L. J. Z., Van ’t Ent D., Boomsma D. I., Anokhin A. P., Smit D. J. A. EEG-based age-prediction models as stable and heritable indicators of brain maturational level in children and adolescents. Human Brain Mapping, 2019, 40(6): 1919–1926. https://doi.org/10.1002/hbm.24501</mixed-citation>
     <mixed-citation xml:lang="en">Vandenbosch M. M. L. J. Z., Van ’t Ent D., Boomsma D. I., Anokhin A. P., Smit D. J. A. EEG-based age-prediction models as stable and heritable indicators of brain maturational level in children and adolescents. Human Brain Mapping, 2019, 40(6): 1919–1926. https://doi.org/10.1002/hbm.24501</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B46">
    <label>46.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Al Zoubi O., Ki Wong C., Kuplicki R. T., Yeh H., Mayeli A., Refai H., Paulus M., Bodurka J. Predicting age from brain EEG signals – A machine learning approach. Frontiers in Aging Neuroscience, 2018, 10. https://doi.org/10.3389/fnagi.2018.00184</mixed-citation>
     <mixed-citation xml:lang="en">Al Zoubi O., Ki Wong C., Kuplicki R. T., Yeh H., Mayeli A., Refai H., Paulus M., Bodurka J. Predicting age from brain EEG signals – A machine learning approach. Frontiers in Aging Neuroscience, 2018, 10. https://doi.org/10.3389/fnagi.2018.00184</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B47">
    <label>47.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Müller B. C. N., Kühn-Popp N., Meinhardt J., Sodian B., Paulus M. Long-term stability in children's frontal EEG alpha asymmetry between 14-months and 83-months. International Journal of Developmental Neuroscience, 2015, 41(1): 110–114. https://doi.org/10.1016/j.ijdevneu.2015.01.002</mixed-citation>
     <mixed-citation xml:lang="en">Müller B. C. N., Kühn-Popp N., Meinhardt J., Sodian B., Paulus M. Long-term stability in children's frontal EEG alpha asymmetry between 14-months and 83-months. International Journal of Developmental Neuroscience, 2015, 41(1): 110–114. https://doi.org/10.1016/j.ijdevneu.2015.01.002</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B48">
    <label>48.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Markovic A., Achermann P., Rusterholz T., Tarokh L. Heritability of sleep EEG topography in adolescence: Results from a longitudinal twin study. Scientific Reports, 2018, 8(1): 3–13. https://doi.org/10.1038/s41598-018-25590-7</mixed-citation>
     <mixed-citation xml:lang="en">Markovic A., Achermann P., Rusterholz T., Tarokh L. Heritability of sleep EEG topography in adolescence: Results from a longitudinal twin study. Scientific Reports, 2018, 8(1): 3–13. https://doi.org/10.1038/s41598-018-25590-7</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B49">
    <label>49.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Feinberg I., Campbell I. G. Longitudinal sleep EEG trajectories indicate complex patterns of adolescent brain maturation. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2013, 304(4): R296–R303. https://doi.org/10.1152/ajpregu.00422.2012</mixed-citation>
     <mixed-citation xml:lang="en">Feinberg I., Campbell I. G. Longitudinal sleep EEG trajectories indicate complex patterns of adolescent brain maturation. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2013, 304(4): R296–R303. https://doi.org/10.1152/ajpregu.00422.2012</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B50">
    <label>50.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Vakorin V. A., McIntosh A. R., Mišić B., Krakovska O., Poulsen C., Martinu K., Paus T. Exploring age-related changes in dynamical non-stationarity in electroencephalographic signals during early adolescence. PLOS ONE, 2013, 8(3). https://doi.org/10.1371/journal.pone.0057217</mixed-citation>
     <mixed-citation xml:lang="en">Vakorin V. A., McIntosh A. R., Mišić B., Krakovska O., Poulsen C., Martinu K., Paus T. Exploring age-related changes in dynamical non-stationarity in electroencephalographic signals during early adolescence. PLOS ONE, 2013, 8(3). https://doi.org/10.1371/journal.pone.0057217</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B51">
    <label>51.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Gmehlin D., Thomas C., Weisbrod M., Walther S., Pfüller U., Resch F., Oelkers-Ax R. Individual analysis of EEG background activity within school age: Impact of age and sex within a longitudinal data set. International Journal of Developmental Neuroscience, 2011, 29(2): 163–170. https://doi.org/10.1016/j.ijdevneu.2010.11.005</mixed-citation>
     <mixed-citation xml:lang="en">Gmehlin D., Thomas C., Weisbrod M., Walther S., Pfüller U., Resch F., Oelkers-Ax R. Individual analysis of EEG background activity within school age: Impact of age and sex within a longitudinal data set. International Journal of Developmental Neuroscience, 2011, 29(2): 163–170. https://doi.org/10.1016/j.ijdevneu.2010.11.005</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B52">
    <label>52.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Darchia N., Higgins L. M., Dykan I. V., Davis N. M., de Bie E., Feinberg I. Adolescent changes in homeostatic regulation of EEG activity in the delta and theta frequency bands during NREM sleep. Sleep, 2011, 34(1): 83–91. https://doi.org/10.1093/sleep/34.1.83</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Darchia N., Higgins L. M., Dykan I. V., Davis N. M., de Bie E., Feinberg I. Adolescent changes in homeostatic regulation of EEG activity in the delta and theta frequency bands during NREM sleep. Sleep, 2011, 34(1): 83–91. https://doi.org/10.1093/sleep/34.1.83</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B53">
    <label>53.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Van Dongen H. P. A., Gainer M., Karmouta E., Feinberg I. Differential and interacting effects of age and sleep restriction on daytime sleepiness and vigilance in adolescence: A longitudinal study. Sleep, 2018, 41(12): 1–8. https://doi.org/10.1093/sleep/zsy177</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Van Dongen H. P. A., Gainer M., Karmouta E., Feinberg I. Differential and interacting effects of age and sleep restriction on daytime sleepiness and vigilance in adolescence: A longitudinal study. Sleep, 2018, 41(12): 1–8. https://doi.org/10.1093/sleep/zsy177</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B54">
    <label>54.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Baker F. C., Turlington S. R., Colrain I. Developmental changes in the sleep electroencephalogram of adolescent boys and girls. Journal of Sleep Research, 2011, 21(1): 59–67. https://doi.org/10.1111/j.1365-2869.2011.00930.x</mixed-citation>
     <mixed-citation xml:lang="en">Baker F. C., Turlington S. R., Colrain I. Developmental changes in the sleep electroencephalogram of adolescent boys and girls. Journal of Sleep Research, 2011, 21(1): 59–67. https://doi.org/10.1111/j.1365-2869.2011.00930.x</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B55">
    <label>55.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Olbrich E., Rusterholz T., LeBourgeois M. K., Achermann P. Developmental changes in sleep oscillations during early childhood. Neural Plasticity, 2017, (1): 1–12. https://doi.org/10.1155/2017/6160959</mixed-citation>
     <mixed-citation xml:lang="en">Olbrich E., Rusterholz T., LeBourgeois M. K., Achermann P. Developmental changes in sleep oscillations during early childhood. Neural Plasticity, 2017, (1): 1–12. https://doi.org/10.1155/2017/6160959</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B56">
    <label>56.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Ricci A., He F., Fang J., Calhoun S. L., Vgontzas A. N., Liao D., Younes M., Bixler E. O., Fernandez-Mendoza J. Maturational trajectories of non-rapid eye movement slow wave activity and odds ratio product in a population-based sample of youth. Sleep Medicine, 2021, 83: 271–279. https://doi.org/10.1016/j.sleep.2021.05.002</mixed-citation>
     <mixed-citation xml:lang="en">Ricci A., He F., Fang J., Calhoun S. L., Vgontzas A. N., Liao D., Younes M., Bixler E. O., Fernandez-Mendoza J. Maturational trajectories of non-rapid eye movement slow wave activity and odds ratio product in a population-based sample of youth. Sleep Medicine, 2021, 83: 271–279. https://doi.org/10.1016/j.sleep.2021.05.002</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B57">
    <label>57.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Kiss O., Goldstone A., de Zambotti M., Yüksel D., Hasler B. P., Franzen P. L., Brown S. A., De Bellis M. D., Nagel B. J., Nooner K. B., Tapert S. F., Colrain I. M., Clark D. B., Baker F. C. Effects of emerging alcohol use on developmental trajectories of functional sleep measures in adolescents. Sleep, 2023, 46(9): 1–14. https://doi.org/10.1093/sleep/zsad113</mixed-citation>
     <mixed-citation xml:lang="en">Kiss O., Goldstone A., de Zambotti M., Yüksel D., Hasler B. P., Franzen P. L., Brown S. A., De Bellis M. D., Nagel B. J., Nooner K. B., Tapert S. F., Colrain I. M., Clark D. B., Baker F. C. Effects of emerging alcohol use on developmental trajectories of functional sleep measures in adolescents. Sleep, 2023, 46(9): 1–14. https://doi.org/10.1093/sleep/zsad113</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B58">
    <label>58.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Feinberg I. Longitudinal trajectories of non-rapid eye movement delta and theta EEG as indicators of adolescent brain maturation. Proceedings of the National Academy of Sciences, 2009, 106(13): 5177–5180. https://doi.org/10.1073/pnas.0812947106</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Feinberg I. Longitudinal trajectories of non-rapid eye movement delta and theta EEG as indicators of adolescent brain maturation. Proceedings of the National Academy of Sciences, 2009, 106(13): 5177–5180. https://doi.org/10.1073/pnas.0812947106</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B59">
    <label>59.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Higgins L. M., Trinidad J. M., Richardson P., Feinberg I. The increase in longitudinally measured sleepiness across adolescence is related to the maturational decline in low-frequency EEG power. Sleep, 2007, 30(12): 1677–1687. https://doi.org/10.1093/sleep/30.12.1677</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Higgins L. M., Trinidad J. M., Richardson P., Feinberg I. The increase in longitudinally measured sleepiness across adolescence is related to the maturational decline in low-frequency EEG power. Sleep, 2007, 30(12): 1677–1687. https://doi.org/10.1093/sleep/30.12.1677</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B60">
    <label>60.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Feinberg I., Higgins L. M., Khaw W. Y., Campbell I. G. The adolescent decline of NREM delta, an indicator of brain maturation, is linked to age and sex but not to pubertal stage. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2006, 291(6): R1724–R1729. https://doi.org/10.1152/ajpregu.00293.2006</mixed-citation>
     <mixed-citation xml:lang="en">Feinberg I., Higgins L. M., Khaw W. Y., Campbell I. G. The adolescent decline of NREM delta, an indicator of brain maturation, is linked to age and sex but not to pubertal stage. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 2006, 291(6): R1724–R1729. https://doi.org/10.1152/ajpregu.00293.2006</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B61">
    <label>61.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Kurth S., Riedner B. A., Dean D. C., O'Muircheartaigh J., Huber R., Jenni O. G., Deoni S. C. L., LeBourgeois M. K. Traveling slow oscillations during sleep: A marker of brain connectivity in childhood. Sleep, 2017, 40(9): 1–10. https://doi.org/10.1093/sleep/zsx121</mixed-citation>
     <mixed-citation xml:lang="en">Kurth S., Riedner B. A., Dean D. C., O'Muircheartaigh J., Huber R., Jenni O. G., Deoni S. C. L., LeBourgeois M. K. Traveling slow oscillations during sleep: A marker of brain connectivity in childhood. Sleep, 2017, 40(9): 1–10. https://doi.org/10.1093/sleep/zsx121</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B62">
    <label>62.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Kraus A. M., Burright C. S., Feinberg I. Restricting time in bed in early adolescence reduces both NREM and REM sleep but does not increase slow-wave EEG. Sleep, 2016, 39(9): 1663–1670. https://doi.org/10.5665/sleep.6088</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Kraus A. M., Burright C. S., Feinberg I. Restricting time in bed in early adolescence reduces both NREM and REM sleep but does not increase slow-wave EEG. Sleep, 2016, 39(9): 1663–1670. https://doi.org/10.5665/sleep.6088</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B63">
    <label>63.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">McClain I. J., Lustenberger C., Achermann P., Lassonde J. M., Kurth S., LeBourgeois M. K. Developmental changes in sleep spindle characteristics and sigma power across early childhood. Neural Plasticity, 2016, (1): 1–9. https://doi.org/10.1155/2016/3670951</mixed-citation>
     <mixed-citation xml:lang="en">McClain I. J., Lustenberger C., Achermann P., Lassonde J. M., Kurth S., LeBourgeois M. K. Developmental changes in sleep spindle characteristics and sigma power across early childhood. Neural Plasticity, 2016, (1): 1–9. https://doi.org/10.1155/2016/3670951</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B64">
    <label>64.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zhang Z. Y., Campbell I. G., Dhayagude P., Espino H. C., Feinberg I. Longitudinal analysis of sleep spindle maturation from childhood through late adolescence. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 2021, 41(19): 4253–4261. https://doi.org/10.1523/JNEUROSCI.2370-20.2021</mixed-citation>
     <mixed-citation xml:lang="en">Zhang Z. Y., Campbell I. G., Dhayagude P., Espino H. C., Feinberg I. Longitudinal analysis of sleep spindle maturation from childhood through late adolescence. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 2021, 41(19): 4253–4261. https://doi.org/10.1523/JNEUROSCI.2370-20.2021</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B65">
    <label>65.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Feinberg I. Maturational patterns of sigma frequency power across childhood and adolescence: A longitudinal study. Sleep, 2016, 39(1): 193–201. https://doi.org/10.5665/sleep.5346</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Feinberg I. Maturational patterns of sigma frequency power across childhood and adolescence: A longitudinal study. Sleep, 2016, 39(1): 193–201. https://doi.org/10.5665/sleep.5346</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B66">
    <label>66.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Darchia N., Khaw W. Y., Higgins L. M., Feinberg I. Sleep EEG evidence of sex differences in adolescent brain maturation. Sleep, 2005, 28(5): 637–643. https://doi.org/10.1093/sleep/28.5.637</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Darchia N., Khaw W. Y., Higgins L. M., Feinberg I. Sleep EEG evidence of sex differences in adolescent brain maturation. Sleep, 2005, 28(5): 637–643. https://doi.org/10.1093/sleep/28.5.637</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B67">
    <label>67.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Van Baal G. C. M., Boomsma D. I., De Geus E. J. C. Longitudinal genetic analysis of EEG coherence in young twins. Behavior Genetics, 2001, 31(6): 637–651. https://doi.org/10.1023/a:1013357714500</mixed-citation>
     <mixed-citation xml:lang="en">Van Baal G. C. M., Boomsma D. I., De Geus E. J. C. Longitudinal genetic analysis of EEG coherence in young twins. Behavior Genetics, 2001, 31(6): 637–651. https://doi.org/10.1023/a:1013357714500</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B68">
    <label>68.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Ríos-López P., Molinaro N., Bourguignon M., Lallier M. Development of neural oscillatory activity in response to speech in children from 4 to 6 years old. Developmental Science, 2020, 23(6): 1–16. https://doi.org/10.1111/desc.12947</mixed-citation>
     <mixed-citation xml:lang="en">Ríos-López P., Molinaro N., Bourguignon M., Lallier M. Development of neural oscillatory activity in response to speech in children from 4 to 6 years old. Developmental Science, 2020, 23(6): 1–16. https://doi.org/10.1111/desc.12947</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B69">
    <label>69.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Tarokh L., Carskadon M. A., Achermann P. Developmental changes in brain connectivity assessed using the sleep EEG. Neuroscience, 2010, 171(2): 622–634. https://doi.org/10.1016/j.neuroscience.2010.08.071</mixed-citation>
     <mixed-citation xml:lang="en">Tarokh L., Carskadon M. A., Achermann P. Developmental changes in brain connectivity assessed using the sleep EEG. Neuroscience, 2010, 171(2): 622–634. https://doi.org/10.1016/j.neuroscience.2010.08.071</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B70">
    <label>70.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Knyazev G. G., Savostyanov A. N., Bocharov A. V., Tamozhnikov S. S., Kozlova E. A., Leto I. V., Slobodskaya H. R. Cross-frequency coupling in developmental perspective. Frontiers in Human Neuroscience, 2019, 13. https://doi.org/10.3389/fnhum.2019.00158</mixed-citation>
     <mixed-citation xml:lang="en">Knyazev G. G., Savostyanov A. N., Bocharov A. V., Tamozhnikov S. S., Kozlova E. A., Leto I. V., Slobodskaya H. R. Cross-frequency coupling in developmental perspective. Frontiers in Human Neuroscience, 2019, 13. https://doi.org/10.3389/fnhum.2019.00158</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B71">
    <label>71.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Knyazev G. G., Savostyanov A. N., Bocharov A. V., Slobodskaya H. R., Bairova N. B., Tamozhnikov S. S., Stepanova V. V. Effortful control and resting state networks: A longitudinal EEG study. Neuroscience, 2017, 346: 365–381. https://doi.org/10.1016/j.neuroscience.2017.01.031</mixed-citation>
     <mixed-citation xml:lang="en">Knyazev G. G., Savostyanov A. N., Bocharov A. V., Slobodskaya H. R., Bairova N. B., Tamozhnikov S. S., Stepanova V. V. Effortful control and resting state networks: A longitudinal EEG study. Neuroscience, 2017, 346: 365–381. https://doi.org/10.1016/j.neuroscience.2017.01.031</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B72">
    <label>72.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Gao C., Scullin M. K. Age-related longitudinal trajectories in NREM and REM spectral power. Sleep, 2020, 43(1): A130–A131. https://doi.org/10.1093/sleep/zsaa056.341</mixed-citation>
     <mixed-citation xml:lang="en">Gao C., Scullin M. K. Age-related longitudinal trajectories in NREM and REM spectral power. Sleep, 2020, 43(1): A130–A131. https://doi.org/10.1093/sleep/zsaa056.341</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B73">
    <label>73.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Saggar M., Zanesco A. P., King B. G., Bridwell D. A., MacLean K. A., Aichele S. R., Jacobs T. L., Wallace B. A., Saron C. D., Miikkulainen R. Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. NeuroImage, 2015, 114: 88–104. https://doi.org/10.1016/j.neuroimage.2015.03.073</mixed-citation>
     <mixed-citation xml:lang="en">Saggar M., Zanesco A. P., King B. G., Bridwell D. A., MacLean K. A., Aichele S. R., Jacobs T. L., Wallace B. A., Saron C. D., Miikkulainen R. Mean-field thalamocortical modeling of longitudinal EEG acquired during intensive meditation training. NeuroImage, 2015, 114: 88–104. https://doi.org/10.1016/j.neuroimage.2015.03.073</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B74">
    <label>74.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Saggar M., King B. G., Zanesco A. P., MacLean K. A., Aichele S. R., Jacobs T. L., Bridwell D. A., Shaver P. R., Rosenberg E. L., Sahdra B. K., Ferrer E., Tang A. C., Mangun G. R., Wallace B. A., Miikkulainen R., Saron C. D. Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. Frontiers in Human Neuroscience, 2012, 6. https://doi.org/10.3389/fnhum.2012.00256</mixed-citation>
     <mixed-citation xml:lang="en">Saggar M., King B. G., Zanesco A. P., MacLean K. A., Aichele S. R., Jacobs T. L., Bridwell D. A., Shaver P. R., Rosenberg E. L., Sahdra B. K., Ferrer E., Tang A. C., Mangun G. R., Wallace B. A., Miikkulainen R., Saron C. D. Intensive training induces longitudinal changes in meditation state-related EEG oscillatory activity. Frontiers in Human Neuroscience, 2012, 6. https://doi.org/10.3389/fnhum.2012.00256</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B75">
    <label>75.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Skwara A. C., King B. G., Zanesco A. P., Saron C. D. Shifting baselines: Longitudinal reductions in EEG beta band power characterize resting brain activity with intensive meditation. Mindfulness, 2022, 13(10): 2488–2506. https://doi.org/10.1007/s12671-022-01974-9</mixed-citation>
     <mixed-citation xml:lang="en">Skwara A. C., King B. G., Zanesco A. P., Saron C. D. Shifting baselines: Longitudinal reductions in EEG beta band power characterize resting brain activity with intensive meditation. Mindfulness, 2022, 13(10): 2488–2506. https://doi.org/10.1007/s12671-022-01974-9</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B76">
    <label>76.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Gao J., Fan J., Wu B. W. Y., Zhang Z., Chang C., Hung Y.-S., Sik H. H. Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. Neuroscience Letters, 2016, 616: 218–223. https://doi.org/10.1016/j.neulet.2016.01.001</mixed-citation>
     <mixed-citation xml:lang="en">Gao J., Fan J., Wu B. W. Y., Zhang Z., Chang C., Hung Y.-S., Sik H. H. Entrainment of chaotic activities in brain and heart during MBSR mindfulness training. Neuroscience Letters, 2016, 616: 218–223. https://doi.org/10.1016/j.neulet.2016.01.001</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B77">
    <label>77.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">An A., Hoang H., Trang L., Vo Q., Tran L., Le T., Le A., McCormick A., Du Old K., Williams N. S., Mackellar G., Nguyen E., Luong T., Nguyen V., Nguyen K., Ha H. Investigating the effect of mindfulness-based stress reduction on stress level and brain activity of college students. IBRO Neuroscience Reports, 2022, 12: 399–410. https://doi.org/10.1016/j.ibneur.2022.05.004</mixed-citation>
     <mixed-citation xml:lang="en">An A., Hoang H., Trang L., Vo Q., Tran L., Le T., Le A., McCormick A., Du Old K., Williams N. S., Mackellar G., Nguyen E., Luong T., Nguyen V., Nguyen K., Ha H. Investigating the effect of mindfulness-based stress reduction on stress level and brain activity of college students. IBRO Neuroscience Reports, 2022, 12: 399–410. https://doi.org/10.1016/j.ibneur.2022.05.004</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B78">
    <label>78.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zanesco A. P., Skwara A. C., King B. G., Powers C., Wineberg K., Saron C. D. Meditation training modulates brain electric microstates and felt states of awareness. Human Brain Mapping, 2021, 42(10): 3228–3252. https://doi.org/10.1002/hbm.25430</mixed-citation>
     <mixed-citation xml:lang="en">Zanesco A. P., Skwara A. C., King B. G., Powers C., Wineberg K., Saron C. D. Meditation training modulates brain electric microstates and felt states of awareness. Human Brain Mapping, 2021, 42(10): 3228–3252. https://doi.org/10.1002/hbm.25430</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B79">
    <label>79.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Dziego C. A., Zanesco A. P., Bornkessel-Schlesewsky I., Schlesewsky M., Stanley E. A., Jha A. P. Mindfulness training in high-demand cohorts alters resting-state electroencephalography: An exploratory investigation of individual alpha frequency, aperiodic 1/f activity, and microstates. Biological Psychiatry Global Open Science, 2024, 4(6). https://doi.org/10.1016/j.bpsgos.2024.100383</mixed-citation>
     <mixed-citation xml:lang="en">Dziego C. A., Zanesco A. P., Bornkessel-Schlesewsky I., Schlesewsky M., Stanley E. A., Jha A. P. Mindfulness training in high-demand cohorts alters resting-state electroencephalography: An exploratory investigation of individual alpha frequency, aperiodic 1/f activity, and microstates. Biological Psychiatry Global Open Science, 2024, 4(6). https://doi.org/10.1016/j.bpsgos.2024.100383</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B80">
    <label>80.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Moore A., Gruber T., Derose J., Malinowski P. Regular, brief mindfulness meditation practice improves electrophysiological markers of attentional control. Frontiers in Human Neuroscience, 2012, 6. https://doi.org/10.3389/fnhum.2012.00018</mixed-citation>
     <mixed-citation xml:lang="en">Moore A., Gruber T., Derose J., Malinowski P. Regular, brief mindfulness meditation practice improves electrophysiological markers of attentional control. Frontiers in Human Neuroscience, 2012, 6. https://doi.org/10.3389/fnhum.2012.00018</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B81">
    <label>81.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Nyhus E., Engel W. A., Pitfield T. D., Vakkur I. M. W. Increases in theta oscillatory activity during episodic memory retrieval following mindfulness meditation training. Frontiers in Human Neuroscience, 2019, 13. https://doi.org/10.3389/fnhum.2019.00311</mixed-citation>
     <mixed-citation xml:lang="en">Nyhus E., Engel W. A., Pitfield T. D., Vakkur I. M. W. Increases in theta oscillatory activity during episodic memory retrieval following mindfulness meditation training. Frontiers in Human Neuroscience, 2019, 13. https://doi.org/10.3389/fnhum.2019.00311</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B82">
    <label>82.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Carpentier S. M., Moreno S., McIntosh A. R. Short-term music training enhances complex, distributed neural communication during music and linguistic tasks. Journal of Cognitive Neuroscience, 2016, 28(10): 1603–1612. https://doi.org/10.1162/jocn_a_00988</mixed-citation>
     <mixed-citation xml:lang="en">Carpentier S. M., Moreno S., McIntosh A. R. Short-term music training enhances complex, distributed neural communication during music and linguistic tasks. Journal of Cognitive Neuroscience, 2016, 28(10): 1603–1612. https://doi.org/10.1162/jocn_a_00988</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B83">
    <label>83.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Khalil A., Musacchia G., Iversen J. R. It takes two: Interpersonal neural synchrony is increased after musical interaction. Brain Sciences, 2022, 12(3). https://doi.org/10.3390/brainsci12030409</mixed-citation>
     <mixed-citation xml:lang="en">Khalil A., Musacchia G., Iversen J. R. It takes two: Interpersonal neural synchrony is increased after musical interaction. Brain Sciences, 2022, 12(3). https://doi.org/10.3390/brainsci12030409</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B84">
    <label>84.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Moussiopoulou J., Pross B., Handrack M., Keeser D., Pogarell O., Halle M., Falkai P., Scherr J., Hasan A., Roeh A. The influence of marathon running on resting-state EEG activity: A longitudinal observational study. European Journal of Applied Physiology, 2024, 124(4): 1311–1321. https://doi.org/10.1007/s00421-023-05356-4</mixed-citation>
     <mixed-citation xml:lang="en">Moussiopoulou J., Pross B., Handrack M., Keeser D., Pogarell O., Halle M., Falkai P., Scherr J., Hasan A., Roeh A. The influence of marathon running on resting-state EEG activity: A longitudinal observational study. European Journal of Applied Physiology, 2024, 124(4): 1311–1321. https://doi.org/10.1007/s00421-023-05356-4</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B85">
    <label>85.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Cruz-Basilio A., Darchia N., Zhang Z. Y., Feinberg I. Effects of sleep restriction on the sleep electroencephalogram of adolescents. Sleep, 2021, 44(6): 1–9. https://doi.org/10.1093/sleep/zsaa280</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Cruz-Basilio A., Darchia N., Zhang Z. Y., Feinberg I. Effects of sleep restriction on the sleep electroencephalogram of adolescents. Sleep, 2021, 44(6): 1–9. https://doi.org/10.1093/sleep/zsaa280</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B86">
    <label>86.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Campbell I. G., Grimm K. J., de Bie E., Feinberg I. Sex, puberty, and the timing of sleep EEG-measured adolescent brain maturation. Proceedings of the National Academy of Sciences, 2012, 109(15): 5740–5743. https://doi.org/10.1073/pnas.1120860109</mixed-citation>
     <mixed-citation xml:lang="en">Campbell I. G., Grimm K. J., de Bie E., Feinberg I. Sex, puberty, and the timing of sleep EEG-measured adolescent brain maturation. Proceedings of the National Academy of Sciences, 2012, 109(15): 5740–5743. https://doi.org/10.1073/pnas.1120860109</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B87">
    <label>87.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Hatzinger M., Brand S., Perren S., Von Wyl A., Stadelmann S., Von Klitzing K., Holsboer-Trachsler E. In pre-school children, sleep objectively assessed via sleep-EEGs remains stable over 12 months and is related to psychological functioning, but not to cortisol secretion. Journal of Psychiatric Research, 2013, 47(11): 1809–1814. https://doi.org/10.1016/j.jpsychires.2013.08.007</mixed-citation>
     <mixed-citation xml:lang="en">Hatzinger M., Brand S., Perren S., Von Wyl A., Stadelmann S., Von Klitzing K., Holsboer-Trachsler E. In pre-school children, sleep objectively assessed via sleep-EEGs remains stable over 12 months and is related to psychological functioning, but not to cortisol secretion. Journal of Psychiatric Research, 2013, 47(11): 1809–1814. https://doi.org/10.1016/j.jpsychires.2013.08.007</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B88">
    <label>88.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Yousof S., Ibrahim D., El-Baz A., Osama A., El-Wazir Y. Gender difference in the effect of examination stress on brain oscillations during memory tasks. Suez Canal University Medical Journal, 2014, 17(1): 21–28. http://dx.doi.org/10.21608/scumj.2014.45588</mixed-citation>
     <mixed-citation xml:lang="en">Yousof S., Ibrahim D., El-Baz A., Osama A., El-Wazir Y. Gender difference in the effect of examination stress on brain oscillations during memory tasks. Suez Canal University Medical Journal, 2014, 17(1): 21–28. http://dx.doi.org/10.21608/scumj.2014.45588</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B89">
    <label>89.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Do T. T. N., Wang Y. K., Lin C. T. Increase in brain effective connectivity in multitasking but not in a high-fatigue state. IEEE Transactions on Cognitive and Developmental Systems, 2020, 1(1): 566–574. https://doi.org/10.1109/TCDS.2020.2990898</mixed-citation>
     <mixed-citation xml:lang="en">Do T. T. N., Wang Y. K., Lin C. T. Increase in brain effective connectivity in multitasking but not in a high-fatigue state. IEEE Transactions on Cognitive and Developmental Systems, 2020, 1(1): 566–574. https://doi.org/10.1109/TCDS.2020.2990898</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B90">
    <label>90.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Harper J., Malone S. M., Iacono W. G. Testing the effects of adolescent alcohol use on adult conflict-related theta dynamics. Clinical Neurophysiology, 2017, 128(11): 2358–2368. https://doi.org/10.1016/j.clinph.2017.08.019</mixed-citation>
     <mixed-citation xml:lang="en">Harper J., Malone S. M., Iacono W. G. Testing the effects of adolescent alcohol use on adult conflict-related theta dynamics. Clinical Neurophysiology, 2017, 128(11): 2358–2368. https://doi.org/10.1016/j.clinph.2017.08.019</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B91">
    <label>91.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Brandes-Aitken A., Pini N., Weatherhead M., Brito N. H. Maternal hair cortisol predicts periodic and aperiodic infant frontal EEG activity longitudinally across infancy. Developmental Psychobiology, 2023, 65(5): 1–11. https://doi.org/10.1002/dev.22393</mixed-citation>
     <mixed-citation xml:lang="en">Brandes-Aitken A., Pini N., Weatherhead M., Brito N. H. Maternal hair cortisol predicts periodic and aperiodic infant frontal EEG activity longitudinally across infancy. Developmental Psychobiology, 2023, 65(5): 1–11. https://doi.org/10.1002/dev.22393</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B92">
    <label>92.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Stamoulis C., Vanderwert R. E., Zeanah C. H., Fox N. A., Nelson C. A. Neuronal networks in the developing brain are adversely modulated by early psychosocial neglect. Journal of Neurophysiology, 2017, 118(4): 2275–2288. https://doi.org/10.1152/jn.00014.2017</mixed-citation>
     <mixed-citation xml:lang="en">Stamoulis C., Vanderwert R. E., Zeanah C. H., Fox N. A., Nelson C. A. Neuronal networks in the developing brain are adversely modulated by early psychosocial neglect. Journal of Neurophysiology, 2017, 118(4): 2275–2288. https://doi.org/10.1152/jn.00014.2017</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B93">
    <label>93.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Schwartz L., Hayut O., Levy J., Gordon I., Feldman R. Sensitive infant care tunes a frontotemporal interbrain network in adolescence. Scientific Reports, 2024, 14(1). https://doi.org/10.1038/s41598-024-73630-2</mixed-citation>
     <mixed-citation xml:lang="en">Schwartz L., Hayut O., Levy J., Gordon I., Feldman R. Sensitive infant care tunes a frontotemporal interbrain network in adolescence. Scientific Reports, 2024, 14(1). https://doi.org/10.1038/s41598-024-73630-2</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B94">
    <label>94.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Jones K. T., Johnson E. L., Gazzaley A., Zanto T. P. Structural and functional network mechanisms of rescuing cognitive control in aging. NeuroImage, 2022, 262. https://doi.org/10.1016/j.neuroimage.2022.119547</mixed-citation>
     <mixed-citation xml:lang="en">Jones K. T., Johnson E. L., Gazzaley A., Zanto T. P. Structural and functional network mechanisms of rescuing cognitive control in aging. NeuroImage, 2022, 262. https://doi.org/10.1016/j.neuroimage.2022.119547</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B95">
    <label>95.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Jones K. T., Peterson D. J., Blacker K. J., Berryhill M. E. Frontoparietal neurostimulation modulates working memory training benefits and oscillatory synchronization. Brain Research, 2017, 1667: 28–40. https://doi.org/10.1016/j.brainres.2017.05.005</mixed-citation>
     <mixed-citation xml:lang="en">Jones K. T., Peterson D. J., Blacker K. J., Berryhill M. E. Frontoparietal neurostimulation modulates working memory training benefits and oscillatory synchronization. Brain Research, 2017, 1667: 28–40. https://doi.org/10.1016/j.brainres.2017.05.005</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B96">
    <label>96.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Pugin F., Metz A. J., Wolf M., Achermann P., Jenni O. G., Huber R. Local increase of sleep slow wave activity after three weeks of working memory training in children and adolescents. Sleep, 2015, 38(4): 607–614. https://doi.org/10.5665/sleep.4580</mixed-citation>
     <mixed-citation xml:lang="en">Pugin F., Metz A. J., Wolf M., Achermann P., Jenni O. G., Huber R. Local increase of sleep slow wave activity after three weeks of working memory training in children and adolescents. Sleep, 2015, 38(4): 607–614. https://doi.org/10.5665/sleep.4580</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B97">
    <label>97.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Hannesdóttir D. K., Doxie J., Bell M. A., Ollendick T. H., Wolfe C. D. A longitudinal study of emotion regulation and anxiety in middle childhood: Associations with frontal EEG asymmetry in early childhood. Developmental psychobiology, 2010, 52(2): 197–204. https://doi.org/10.1002/dev.20425</mixed-citation>
     <mixed-citation xml:lang="en">Hannesdóttir D. K., Doxie J., Bell M. A., Ollendick T. H., Wolfe C. D. A longitudinal study of emotion regulation and anxiety in middle childhood: Associations with frontal EEG asymmetry in early childhood. Developmental psychobiology, 2010, 52(2): 197–204. https://doi.org/10.1002/dev.20425</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B98">
    <label>98.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Poole K. L., Santesso D. L., Van Lieshout R. J., Schmidt L. A. Trajectories of frontal brain activity and socio-emotional development in children. Developmental Psychobiology, 2018, 60(4): 353–363. https://doi.org/10.1002/dev.21620</mixed-citation>
     <mixed-citation xml:lang="en">Poole K. L., Santesso D. L., Van Lieshout R. J., Schmidt L. A. Trajectories of frontal brain activity and socio-emotional development in children. Developmental Psychobiology, 2018, 60(4): 353–363. https://doi.org/10.1002/dev.21620</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B99">
    <label>99.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Harrewijn A., Buzzell G. A., Debnath R., Leibenluft E., Pine D. S., Fox N. A. Frontal alpha asymmetry moderates the relations between behavioral inhibition and social-effect ERN. Biological Psychology, 2019, 141: 10–16. https://doi.org/10.1016/j.biopsycho.2018.12.014</mixed-citation>
     <mixed-citation xml:lang="en">Harrewijn A., Buzzell G. A., Debnath R., Leibenluft E., Pine D. S., Fox N. A. Frontal alpha asymmetry moderates the relations between behavioral inhibition and social-effect ERN. Biological Psychology, 2019, 141: 10–16. https://doi.org/10.1016/j.biopsycho.2018.12.014</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B100">
    <label>100.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Hassan R., Schmidt L. A. Longitudinal investigation of shyness and physiological vulnerability: Moderating influences of attention biases to threat and safety. Developmental Psychobiology, 2021, 63(7): 1–13. https://doi.org/10.1002/dev.22180</mixed-citation>
     <mixed-citation xml:lang="en">Hassan R., Schmidt L. A. Longitudinal investigation of shyness and physiological vulnerability: Moderating influences of attention biases to threat and safety. Developmental Psychobiology, 2021, 63(7): 1–13. https://doi.org/10.1002/dev.22180</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B101">
    <label>101.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Goldstein B. L., Shankman S. A., Kujawa A., Torpey-Newman D. C., Dyson M. W., Olino T. M., Klein D. N. Positive and negative emotionality at age 3 predicts change in frontal EEG asymmetry across early childhood. Journal of Abnormal Child Psychology, 2019, 47(2): 209–219. https://doi.org/10.1007/s10802-018-0433-7</mixed-citation>
     <mixed-citation xml:lang="en">Goldstein B. L., Shankman S. A., Kujawa A., Torpey-Newman D. C., Dyson M. W., Olino T. M., Klein D. N. Positive and negative emotionality at age 3 predicts change in frontal EEG asymmetry across early childhood. Journal of Abnormal Child Psychology, 2019, 47(2): 209–219. https://doi.org/10.1007/s10802-018-0433-7</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B102">
    <label>102.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">McManis M. H., Kagan J., Snidman N. C., Woodward S. A. EEG asymmetry, power, and temperament in children. Developmental Psychobiology, 2002, 41(2): 169–177. https://doi.org/10.1002/dev.10053</mixed-citation>
     <mixed-citation xml:lang="en">McManis M. H., Kagan J., Snidman N. C., Woodward S. A. EEG asymmetry, power, and temperament in children. Developmental Psychobiology, 2002, 41(2): 169–177. https://doi.org/10.1002/dev.10053</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B103">
    <label>103.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">He J., Degnan K. A., McDermott J. M., Henderson H. A., Hane A. A., Xu Q., Fox N. A. Anger and approach motivation in infancy: Relations to early childhood inhibitory control and behavior problems. Infancy, 2010, 15(3): 246–269. https://doi.org/10.1111/j.1532-7078.2009.00017.x</mixed-citation>
     <mixed-citation xml:lang="en">He J., Degnan K. A., McDermott J. M., Henderson H. A., Hane A. A., Xu Q., Fox N. A. Anger and approach motivation in infancy: Relations to early childhood inhibitory control and behavior problems. Infancy, 2010, 15(3): 246–269. https://doi.org/10.1111/j.1532-7078.2009.00017.x</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B104">
    <label>104.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Broomell A. P. R., Savla J., Bell M. A. Infant electroencephalogram coherence and toddler inhibition are associated with social responsiveness at age 4. Infancy, 2019, 24(1): 43–56. https://doi.org/10.1111/infa.12273</mixed-citation>
     <mixed-citation xml:lang="en">Broomell A. P. R., Savla J., Bell M. A. Infant electroencephalogram coherence and toddler inhibition are associated with social responsiveness at age 4. Infancy, 2019, 24(1): 43–56. https://doi.org/10.1111/infa.12273</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B105">
    <label>105.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Poole K. L., Schmidt L. A. Frontal brain delta-beta correlation, salivary cortisol, and social anxiety in children. The Journal of Child Psychology and Psychiatry, 2019, 60(6): 646–654. https://doi.org/10.1111/jcpp.13016</mixed-citation>
     <mixed-citation xml:lang="en">Poole K. L., Schmidt L. A. Frontal brain delta-beta correlation, salivary cortisol, and social anxiety in children. The Journal of Child Psychology and Psychiatry, 2019, 60(6): 646–654. https://doi.org/10.1111/jcpp.13016</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B106">
    <label>106.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Myruski S., Bagrodia R., Dennis-Tiwary T. Delta-beta correlation predicts adaptive child emotion regulation concurrently and two years later. Biological Psychology, 2022, 167. https://doi.org/10.1016/j.biopsycho.2021.108225</mixed-citation>
     <mixed-citation xml:lang="en">Myruski S., Bagrodia R., Dennis-Tiwary T. Delta-beta correlation predicts adaptive child emotion regulation concurrently and two years later. Biological Psychology, 2022, 167. https://doi.org/10.1016/j.biopsycho.2021.108225</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B107">
    <label>107.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Sacks D. D., Schwenn P. E., Boyes A., Mills L., Driver C., Gatt J. M., Lagopoulos J., Hermens D. F. Longitudinal associations between resting-state, interregional theta-beta phase-amplitude coupling, psychological distress, and wellbeing in 12–15-year-old adolescents. Cerebral Cortex, 2023, 33(12): 8066–8074. https://doi.org/10.1093/cercor/bhad099</mixed-citation>
     <mixed-citation xml:lang="en">Sacks D. D., Schwenn P. E., Boyes A., Mills L., Driver C., Gatt J. M., Lagopoulos J., Hermens D. F. Longitudinal associations between resting-state, interregional theta-beta phase-amplitude coupling, psychological distress, and wellbeing in 12–15-year-old adolescents. Cerebral Cortex, 2023, 33(12): 8066–8074. https://doi.org/10.1093/cercor/bhad099</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B108">
    <label>108.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Niv S., Ashrafulla S., Tuvblad C., Joshi A., Raine A., Leahy R., Baker L. A. Childhood EEG frontal alpha power as a predictor of adolescent antisocial behavior: A twin heritability study. Biological Psychology, 2015, 105: 72–76. https://doi.org/10.1016/j.biopsycho.2014.11.010</mixed-citation>
     <mixed-citation xml:lang="en">Niv S., Ashrafulla S., Tuvblad C., Joshi A., Raine A., Leahy R., Baker L. A. Childhood EEG frontal alpha power as a predictor of adolescent antisocial behavior: A twin heritability study. Biological Psychology, 2015, 105: 72–76. https://doi.org/10.1016/j.biopsycho.2014.11.010</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B109">
    <label>109.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Tenke C. E., Kayser J., Svob C., Miller L., Alvarenga J. E., Abraham K., Warner V., Wickramaratne P., Weissman M. M., Bruder G. E. Association of posterior EEG alpha with prioritization of religion or spirituality: A replication and extension at 20-year follow-up. Biological Psychology, 2017, 124: 79–86. https://doi.org/10.1016/j.biopsycho.2017.01.005</mixed-citation>
     <mixed-citation xml:lang="en">Tenke C. E., Kayser J., Svob C., Miller L., Alvarenga J. E., Abraham K., Warner V., Wickramaratne P., Weissman M. M., Bruder G. E. Association of posterior EEG alpha with prioritization of religion or spirituality: A replication and extension at 20-year follow-up. Biological Psychology, 2017, 124: 79–86. https://doi.org/10.1016/j.biopsycho.2017.01.005</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B110">
    <label>110.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Eisenhut L., Sadeghi-Bahmani D., Ngo V. T., Mikoteit T., Brühl A. B., Stadler C., Dürsteler K. M., Hatzinger M., Brand S. The origins of the dark-hyperactivity and negative peer relationships, an objectively lower sleep efficiency, and a longer sleep onset latency at age five were associated with callous-unemotional traits and low empathy at age 14. Journal of Clinical Medicine, 2023, 12(6): 1–18. https://doi.org/10.3390/jcm12062248</mixed-citation>
     <mixed-citation xml:lang="en">Eisenhut L., Sadeghi-Bahmani D., Ngo V. T., Mikoteit T., Brühl A. B., Stadler C., Dürsteler K. M., Hatzinger M., Brand S. The origins of the dark-hyperactivity and negative peer relationships, an objectively lower sleep efficiency, and a longer sleep onset latency at age five were associated with callous-unemotional traits and low empathy at age 14. Journal of Clinical Medicine, 2023, 12(6): 1–18. https://doi.org/10.3390/jcm12062248</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B111">
    <label>111.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Mundy P., Card J., Fox N. EEG correlates of the development of infant joint attention skills. Developmental Psychobiology, 2000, 36(4): 325–338. https://doi.org/10.1002/(SICI)1098-2302(200005)36:4&lt;325::AID-DEV7&gt;3.0.CO;2-F</mixed-citation>
     <mixed-citation xml:lang="en">Mundy P., Card J., Fox N. EEG correlates of the development of infant joint attention skills. Developmental Psychobiology, 2000, 36(4): 325–338. https://doi.org/10.1002/(SICI)1098-2302(200005)36:4&lt;325::AID-DEV7&gt;3.0.CO;2-F</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B112">
    <label>112.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Mundy P., Fox N., Card J. EEG coherence, joint attention and language development in the second year. Developmental Science, 2003, 6(1): 48–54. https://doi.org/10.1111/1467-7687.00253</mixed-citation>
     <mixed-citation xml:lang="en">Mundy P., Fox N., Card J. EEG coherence, joint attention and language development in the second year. Developmental Science, 2003, 6(1): 48–54. https://doi.org/10.1111/1467-7687.00253</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B113">
    <label>113.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Henderson L. M., Yoder P. J., Yale M. E., McDuffie A. Getting the point: Electrophysiological correlates of protodeclarative pointing. International Journal of Developmental Neuroscience, 2002, 20(3-5): 449–458. https://doi.org/10.1016/s0736-5748(02)00038-2</mixed-citation>
     <mixed-citation xml:lang="en">Henderson L. M., Yoder P. J., Yale M. E., McDuffie A. Getting the point: Electrophysiological correlates of protodeclarative pointing. International Journal of Developmental Neuroscience, 2002, 20(3-5): 449–458. https://doi.org/10.1016/s0736-5748(02)00038-2</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B114">
    <label>114.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Brandes-Aitken A., Metser M., Braren S. H., Vogel S. C., Brito N. H. Neurophysiology of sustained attention in early infancy: Investigating longitudinal relations with recognition memory outcomes. Infant Behavior and Development, 2023, 70. https://doi.org/10.1016/j.infbeh.2022.101807</mixed-citation>
     <mixed-citation xml:lang="en">Brandes-Aitken A., Metser M., Braren S. H., Vogel S. C., Brito N. H. Neurophysiology of sustained attention in early infancy: Investigating longitudinal relations with recognition memory outcomes. Infant Behavior and Development, 2023, 70. https://doi.org/10.1016/j.infbeh.2022.101807</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B115">
    <label>115.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Cuevas K., Bell M. A., Marcovitch S., Calkins S. D. Electroencephalogram and heart rate measures of working memory at 5 and 10 months of age. Developmental Psychology, 2012, 48(4): 907–917. https://doi.org/10.1037/a0026448</mixed-citation>
     <mixed-citation xml:lang="en">Cuevas K., Bell M. A., Marcovitch S., Calkins S. D. Electroencephalogram and heart rate measures of working memory at 5 and 10 months of age. Developmental Psychology, 2012, 48(4): 907–917. https://doi.org/10.1037/a0026448</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B116">
    <label>116.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Bell M. A., Wolfe C. D. Changes in brain functioning from infancy to early childhood: Evidence from EEG power and coherence working memory tasks. Developmental Neuropsychology, 2007, 31(1): 21–38. https://doi.org/10.1207/s15326942dn3101_2</mixed-citation>
     <mixed-citation xml:lang="en">Bell M. A., Wolfe C. D. Changes in brain functioning from infancy to early childhood: Evidence from EEG power and coherence working memory tasks. Developmental Neuropsychology, 2007, 31(1): 21–38. https://doi.org/10.1207/s15326942dn3101_2</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B117">
    <label>117.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Ríos-López P., Molinaro N., Bourguignon M., Lallier M. Right-hemisphere coherence to speech at pre-reading stages predicts reading performance one year later. Journal of Cognitive Psychology, 2021, 34(2): 179–193. https://doi.org/10.1080/20445911.2021.1986514</mixed-citation>
     <mixed-citation xml:lang="en">Ríos-López P., Molinaro N., Bourguignon M., Lallier M. Right-hemisphere coherence to speech at pre-reading stages predicts reading performance one year later. Journal of Cognitive Psychology, 2021, 34(2): 179–193. https://doi.org/10.1080/20445911.2021.1986514</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B118">
    <label>118.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Schiavone G., Linkenkaer-Hansen K., Maurits N. M., Plakas A., Maassen B. A. M., Mansvelder H. D., Van der Leij A., Van Zuijen T. L. Preliteracy signatures of poor-reading abilities in resting-state EEG. Frontiers in human neuroscience, 2014, 8. https://doi.org/10.3389/fnhum.2014.00735</mixed-citation>
     <mixed-citation xml:lang="en">Schiavone G., Linkenkaer-Hansen K., Maurits N. M., Plakas A., Maassen B. A. M., Mansvelder H. D., Van der Leij A., Van Zuijen T. L. Preliteracy signatures of poor-reading abilities in resting-state EEG. Frontiers in human neuroscience, 2014, 8. https://doi.org/10.3389/fnhum.2014.00735</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B119">
    <label>119.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Lyakso E. E., Frolova O. V., Grigorev A. S. Infant vocalizations at the first year of life predict speech development at 2–7 years: Longitudinal study. Psychology, 2014, 5(12): 1433–1445. https://doi.org/10.4236/psych.2014.512154</mixed-citation>
     <mixed-citation xml:lang="en">Lyakso E. E., Frolova O. V., Grigorev A. S. Infant vocalizations at the first year of life predict speech development at 2–7 years: Longitudinal study. Psychology, 2014, 5(12): 1433–1445. https://doi.org/10.4236/psych.2014.512154</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B120">
    <label>120.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Bowman L. C., Dodell-Feder D., Saxe R., Sabbagh M. A. Continuity in the neural system supporting children's theory of mind development: Longitudinal links between task-independent EEG and task-dependent fMRI. Developmental cognitive neuroscience, 2019, 40. https://doi.org/10.1016/j.dcn.2019.100705</mixed-citation>
     <mixed-citation xml:lang="en">Bowman L. C., Dodell-Feder D., Saxe R., Sabbagh M. A. Continuity in the neural system supporting children's theory of mind development: Longitudinal links between task-independent EEG and task-dependent fMRI. Developmental cognitive neuroscience, 2019, 40. https://doi.org/10.1016/j.dcn.2019.100705</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B121">
    <label>121.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Finley A. J., Angus D. J., Knight E. L., Van Reekum C. M., Lachman M. E., Davidson R. J., Schaefer S. M. Resting EEG periodic and aperiodic components predict cognitive decline over 10 years. The Journal of Neuroscience, 2024, 44(13): 1–12. https://doi.org/10.1523/JNEUROSCI.1332-23.2024</mixed-citation>
     <mixed-citation xml:lang="en">Finley A. J., Angus D. J., Knight E. L., Van Reekum C. M., Lachman M. E., Davidson R. J., Schaefer S. M. Resting EEG periodic and aperiodic components predict cognitive decline over 10 years. The Journal of Neuroscience, 2024, 44(13): 1–12. https://doi.org/10.1523/JNEUROSCI.1332-23.2024</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B122">
    <label>122.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Brooks H., Mirjalili M., Wang W., Kumar S., Goodman M. S., Zomorrodi R., Blumberger D. M., Bowie C. R., Daskalakis Z. J., Fischer C. E., Flint A. J., Herrmann N., Lanctôt K. L., Mah L., Mulsant B. H., Pollock B. G., Voineskos A. N., Rajji T. K. Assessing the longitudinal relationship between theta-gamma coupling and working memory performance in older adults. Cerebral Cortex, 2022, 32(8): 1653–1667. https://doi.org/10.1093/cercor/bhab295</mixed-citation>
     <mixed-citation xml:lang="en">Brooks H., Mirjalili M., Wang W., Kumar S., Goodman M. S., Zomorrodi R., Blumberger D. M., Bowie C. R., Daskalakis Z. J., Fischer C. E., Flint A. J., Herrmann N., Lanctôt K. L., Mah L., Mulsant B. H., Pollock B. G., Voineskos A. N., Rajji T. K. Assessing the longitudinal relationship between theta-gamma coupling and working memory performance in older adults. Cerebral Cortex, 2022, 32(8): 1653–1667. https://doi.org/10.1093/cercor/bhab295</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B123">
    <label>123.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Zhang L., Gan J. Q., Wang H. Neurocognitive mechanisms of mathematical giftedness: A literature review. Applied Neuropsychology: Child, 2017, 6(1): 79–94. https://doi.org/10.1080/21622965.2015.1119692</mixed-citation>
     <mixed-citation xml:lang="en">Zhang L., Gan J. Q., Wang H. Neurocognitive mechanisms of mathematical giftedness: A literature review. Applied Neuropsychology: Child, 2017, 6(1): 79–94. https://doi.org/10.1080/21622965.2015.1119692</mixed-citation>
    </citation-alternatives>
   </ref>
   <ref id="B124">
    <label>124.</label>
    <citation-alternatives>
     <mixed-citation xml:lang="ru">Gómez C. M., Barriga-Paulino C. I., Rodríguez-Martínez E. I., Rojas-Benjumea M. Á., Arjona A., Gómez-González J. The neurophysiology of working memory development: From childhood to adolescence and young adulthood. Reviews in the Neurosciences, 2018, 29(3): 261–282. https://doi.org/10.1515/revneuro-2017-0073</mixed-citation>
     <mixed-citation xml:lang="en">Gómez C. M., Barriga-Paulino C. I., Rodríguez-Martínez E. I., Rojas-Benjumea M. Á., Arjona A., Gómez-González J. The neurophysiology of working memory development: From childhood to adolescence and young adulthood. Reviews in the Neurosciences, 2018, 29(3): 261–282. https://doi.org/10.1515/revneuro-2017-0073</mixed-citation>
    </citation-alternatives>
   </ref>
  </ref-list>
 </back>
</article>
