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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="other" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Annals of Clinical and Experimental Neurology</journal-id><journal-title-group><journal-title xml:lang="en">Annals of Clinical and Experimental Neurology</journal-title><trans-title-group xml:lang="ru"><trans-title>Анналы клинической и экспериментальной неврологии</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2075-5473</issn><issn publication-format="electronic">2409-2533</issn><publisher><publisher-name xml:lang="en">Eco-Vector</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">561</article-id><article-id pub-id-type="doi">10.25692/ACEN.2018.5.6</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Reviews</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Обзоры</subject></subj-group><subj-group subj-group-type="article-type"><subject>Unknown</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Influence of genetic factors on neurophysiological mechanisms of neurodegenerative diseases</article-title><trans-title-group xml:lang="ru"><trans-title>Влияние генетических факторов на нейрофизиологические механизмы нейродегенеративных заболеваний</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Ponomareva</surname><given-names>Natalia V.</given-names></name><name xml:lang="ru"><surname>Пономарева</surname><given-names>Наталия Васильевна</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>ponomare@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Fokin</surname><given-names>Vitaliy F.</given-names></name><name xml:lang="ru"><surname>Фокин</surname><given-names>Виталий Федорович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>ponomare@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Rogaev</surname><given-names>Evgeny I.</given-names></name><name xml:lang="ru"><surname>Рогаев</surname><given-names>Евгений Иванович</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>ponomare@yandex.ru</email><xref ref-type="aff" rid="aff2"/><xref ref-type="aff" rid="aff3"/><xref ref-type="aff" rid="aff4"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Illarioshkin</surname><given-names>Sergey N.</given-names></name><name xml:lang="ru"><surname>Иллариошкин</surname><given-names>Сергей Николаевич</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>ponomare@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Research Center of Neurology</institution></aff><aff><institution xml:lang="ru">ФГБНУ «Научный центр неврологии»</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Vavilov Institute of General Genetics, Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">ФГБУН Институт общей генетики им. Н.И. Вавилова РАН</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Lomonosov Moscow State University, Center of Genetic and Genetic Technologies</institution></aff><aff><institution xml:lang="ru">Московский государственный университет им. М.В.Ломоносова, Центр генетики и генетических технологий</institution></aff></aff-alternatives><aff-alternatives id="aff4"><aff><institution xml:lang="en">Department of Psychiatry, University of Massachusetts Medical School</institution></aff><aff><institution xml:lang="ru">Научно-исследовательский психиатрический институт Брудника, Университет Массачусетской Медицинской Школы</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2018-12-26" publication-format="electronic"><day>26</day><month>12</month><year>2018</year></pub-date><volume>12</volume><issue>5S</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>46</fpage><lpage>54</lpage><history><date date-type="received" iso-8601-date="2018-12-26"><day>26</day><month>12</month><year>2018</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2018, Ponomareva N.V., Fokin V.F., Rogaev E.I., Illarioshkin S.N.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2018, Ponomareva N.V., Fokin V.F., Rogaev E.I., Illarioshkin S.N.</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="en">Ponomareva N.V., Fokin V.F., Rogaev E.I., Illarioshkin S.N.</copyright-holder><copyright-holder xml:lang="ru">Ponomareva N.V., Fokin V.F., Rogaev E.I., Illarioshkin S.N.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://annaly-nevrologii.com/pathID/article/view/561">https://annaly-nevrologii.com/pathID/article/view/561</self-uri><abstract xml:lang="en"><p>The review summarizes the main results of studies on the influence of genetic factors on neurophysiological changes in neurodegenerative age-related diseases – Alzheimer's (AD), Parkinson's (PD) and Huntington (HD) diseases. In some cases, neurophysiological methods make it possible to detect early changes already at the preclinical stage of neurodegenerative process. Such neurophysiological markers may be considered as endophenotypes and used for the early diagnosis of the diseases. The conducted studies are promising for clarifying which factors underlie the heterogeneity of diseases not only at the genetic level, but also at the neurophysiological level. At the same time, such an approach showed the presence of a number of neurophysiological alterations common to AD, PD, and HD. Disconnection of neural circuits, including interhemispheric disintegration, slowdown of information processes, disinhibition, hyperexcitability and epileptogenesis, as well as alterations in neurovascular coupling, are of great importance for the development of diseases. On the other hand, neurophysiological changes can directly affect the development of the disease, including the genetic level, as evidenced by experimental optogenetic studies, the results of deep brain stimulation and other neuromodulation methods. These data are valuable for a personalized approach to the prevention and treatment of age-dependent neurodegenerative diseases.</p></abstract><trans-abstract xml:lang="ru"><p>В обзоре суммированы основные результаты исследований, посвященных влиянию генетических факторов на нейрофизиологические изменения при нейродегенеративных возрастзависимых заболеваниях – болезнях Альцгеймера (БА), Паркинсона (БП) и Гентингтона (БГ). В ряде случаев нейрофизиологические методы дают возможность обнаружить изменения уже на доклинической стадии нейродегенеративного процесса. Такие нейрофизиологические маркёры обладают свойствами эндофенотипов и могут быть использованы для ранней диагностики болезней. Проведенные исследования позволяют выяснить, какие факторы лежат в основе гетерогенности заболеваний не только на молекулярно-генетическом, но и на нейрофизиологическом уровне. В то же время, такой подход показал наличие ряда общих для БА, БП и БГ нейрофизиологических нарушений. Наибольшее значение для развития заболеваний имеют изменения коннективности, включающие межполушарную дезинтеграцию, замедление информационных процессов,снижение торможения, гипервозбудимость и эпилептогенез, а также нарушения нейро-васкулярного сопряжения. С другой стороны, нейрофизиологические изменения могут прямо влиять на развитие болезни, в том числе и на генетическом уровне, о чем свидетельствует данные экспериментальных оптогенетических исследований, результаты глубокой стимуляции мозга и других методов нейромодуляции. Эти данные имеют большое значение для персонализированного подхода к профилактике и лечению возрастзависимых нейродегенеративных заболеваний.</p></trans-abstract><kwd-group xml:lang="en"><kwd>neurodegenerative disorders</kwd><kwd>genetics</kwd><kwd>neurophysiological mechanisms</kwd><kwd>endophenotypes</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>нейродегенеративные заболевания</kwd><kwd>генетика</kwd><kwd>нейрофизиологические механизмы</kwd><kwd>эндофенотипы</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Hardy J., Selkoe D.J. The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science 2002; 297 (5580): 353–356. DOI: 10.1126/science.1072994. PMID: 12130773.</mixed-citation><mixed-citation xml:lang="ru">Hardy J., Selkoe D.J. The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science. 2002; 297 (5580): 353–356. DOI: 10.1126/science.1072994. PMID: 12130773.</mixed-citation></citation-alternatives></ref><ref id="B2"><label>2.</label><citation-alternatives><mixed-citation xml:lang="en">Illarioshkin S.N. Konformatsionniye bolezni mozga [Conformational diseases of the brain]. M.: Janus-K, 2002. 246 p. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Иллариошкин С.Н. Конформационные болезни мозга. M.: Янус-K, 2002. 246 с.</mixed-citation></citation-alternatives></ref><ref id="B3"><label>3.</label><citation-alternatives><mixed-citation xml:lang="en">Illarioshkin S.N., Klyushnikov S.A., Seliverstov Yu.A. Bolezn’ Gentingtona [Huntington’s disease]. M.: ATMO, 2018. 472 p. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Иллариошкин С.Н., Клюшников С.А., Селиверстов Ю.A. Болезнь Гентингтона.</mixed-citation></citation-alternatives></ref><ref id="B4"><label>4.</label><citation-alternatives><mixed-citation xml:lang="en">Piradov M.A., Suponeva N.A., Seliverstov Yu.A. et al. [The opportunities of modern imaging methods in the study of spontaneous activity of the brain at rest]. Neurological J 2016; 21: 4–12. DOI: 10.18821/1560-9545-2016-21-1-4-12. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">M.: АТМО, 2018. 472 p.</mixed-citation></citation-alternatives></ref><ref id="B5"><label>5.</label><citation-alternatives><mixed-citation xml:lang="en">Fokin V.F., Ponomareva N.V. Energeticheskaya fiziologiya mozga [Neuroenergetics and brain physiology]. M. Antidor, 2003. 288 p. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Пирадов М.А., Супонева Н.А., Селиверстов Ю.А. и др. Возможности современных методов нейровизуализации в изучении спонтанной активности головного мозга в состоянии покоя. Неврологический журнал 2016; 21 (1): 4–12. DOI 10.18821/1560-9545-2016-21-1-4-12.</mixed-citation></citation-alternatives></ref><ref id="B6"><label>6.</label><citation-alternatives><mixed-citation xml:lang="en">Babiloni C., Del Percio C., Lizio R. et al. Abnormalities of cortical neural synchronization mechanisms in subjects with mild cognitive impairment due to Alzheimer’s and Parkinson’s diseases: an EEG study. J Alzheimers Dis 2017; 59:339–358. DOI: 10.3233/JAD-160883. PMID:28621693.</mixed-citation><mixed-citation xml:lang="ru">Фокин В.Ф., Пономарева Н.В. Энергетическая физиология мозга. М.: Антидор, 2003. 288 с.</mixed-citation></citation-alternatives></ref><ref id="B7"><label>7.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N.V., Korovaitseva G.I., Rogaev E.I. EEG alterations in non-demented individuals related to apolipoprotein E genotype and to risk of Alzheimer disease. Neurobiol Aging 2008; 29: 819–827. DOI: 10.1016/j.neurobiolaging. 2006.12.019. PMID: 17293007.</mixed-citation><mixed-citation xml:lang="ru">Babiloni C., Del Percio C., Lizio R. et al. Abnormalities of cortical neural synchronization mechanisms in subjects with mild cognitive impairment due to Alzheimer’s and Parkinson’s diseases: an EEG study. J Alzheimers Dis 2017; 59: 339–358. DOI: 10.3233/JAD-160883. PMID:28621693.</mixed-citation></citation-alternatives></ref><ref id="B8"><label>8.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N., Klyushnikov S., Abramycheva N., Malina D. at al. Alpha-theta border EEG abnormalities in preclinical Huntington’s disease. J Neurol Sci 2014; 344: 114–120. DOI: 10.1016/j.jns.2014.06.035. PMID: 25015843.</mixed-citation><mixed-citation xml:lang="ru">Ponomareva N.V., Korovaitseva G.I., Rogaev E.I. EEG alterations in non-demented individuals related to apolipoprotein E genotype and to risk of Alzheimer disease. Neurobiol Aging 2008; 29: 819–827. DOI: 10.1016/j.neurobiolaging. 2006.12.019. PMID: 17293007.</mixed-citation></citation-alternatives></ref><ref id="B9"><label>9.</label><citation-alternatives><mixed-citation xml:lang="en">Yamamoto K., Tanei Z.I., Hashimoto T. et al. Chronic optogenetic activation augments aβ pathology in a mouse model of Alzheimer disease. Cell Rep 2015; 11: 859–865. DOI: 10.1016/j.celrep.2015.04.017. PMID: 25937280.</mixed-citation><mixed-citation xml:lang="ru">Ponomareva N., Klyushnikov S., Abramycheva N., Malina D. at al. Alpha-theta border EEG abnormalities in preclinical Huntington’s disease. J Neurol Sci 2014; 344: 114–120. DOI: 10.1016/j.jns.2014.06.035. PMID: 25015843.</mixed-citation></citation-alternatives></ref><ref id="B10"><label>10.</label><citation-alternatives><mixed-citation xml:lang="en">Cole S.R., van der Meij R., Peterson E.J. et al. Nonsinusoidal beta oscillations reflect cortical pathophysiology in Parkinson’s disease. J Neurosci 2017; 37: 4830–4840. DOI: 10.1523/JNEUROSCI.2208-16.2017. PMID: 28416595.</mixed-citation><mixed-citation xml:lang="ru">Yamamoto K., Tanei Z.I., Hashimoto T. et al. Chronic optogenetic activation augments aβ pathology in a mouse model of Alzheimer disease. Cell Rep 2015; 11: 859–865. DOI: 10.1016/j.celrep.2015.04.017. PMID: 25937280.</mixed-citation></citation-alternatives></ref><ref id="B11"><label>11.</label><citation-alternatives><mixed-citation xml:lang="en">Gottesman I.I., Gould T.D. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry 2003; 160: 636–645. DOI:10.1176/appi.ajp.160.4.636. PMID: 12668349.</mixed-citation><mixed-citation xml:lang="ru">Cole S.R., van der Meij R., Peterson E.J. et al. Nonsinusoidal beta oscillations reflect cortical pathophysiology in Parkinson’s disease. J Neurosci 2017; 37: 4830–4840. DOI: 10.1523/JNEUROSCI.2208-16.2017. PMID: 28416595.</mixed-citation></citation-alternatives></ref><ref id="B12"><label>12.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N.V., Andreeva T.V., Protasova M.A. et al. [Genetic association between Alzheimer’s disease risk variant of the PICALM gene and auditory event-related potentials in aging]. Biochemistry (Moscow) 2018; 83 (9): 1075–1082. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Gottesman I.I., Gould T.D. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatry 2003; 160: 636–645. DOI: 10.1176/appi.ajp.160.4.636. PMID: 12668349.</mixed-citation></citation-alternatives></ref><ref id="B13"><label>13.</label><citation-alternatives><mixed-citation xml:lang="en">Yakhno N.N., Zakharov V.V., Lokshina A.B. et al. Dementia. A guide for physicians. M.: MEDPress-Inform 2013; 264p. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Пономарева Н.В., Андреева Т.В., Протасова М.А. и др. Генетическая ассоциация гена предрасположенности к болезни Альцгеймера PICALM с показателями когнитивных слуховых вызванных потенциалов при старении. Биохимия 2018; 83 (9): 1075–1082. DOI: 10.1134/S0006297918090092.</mixed-citation></citation-alternatives></ref><ref id="B14"><label>14.</label><citation-alternatives><mixed-citation xml:lang="en">Rogaev E.I. Genetic factors and polygenic model of Alzheimer’s disease. Genetica 1999; 35 (11): 1558–1571. PMID: 10624576. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Яхно Н.Н., Захаров В.В., Локшина А.Б. и др. Деменции. Руководство для врачей. М.: МЕДпресс-информ, 2013. 264 c.</mixed-citation></citation-alternatives></ref><ref id="B15"><label>15.</label><citation-alternatives><mixed-citation xml:lang="en">Saunders A.M., Strittmatter W.J., Schmechel D. et al. Association of apolipoprotein E allele epsilon 4 with late-onset familial and sporadic Alzheimer’s disease. Neurology 1993; 43: 1467–1472. DOI: 10.1212/WNL.43.8.1467. PMID: 8350998.</mixed-citation><mixed-citation xml:lang="ru">Рогаев Е.И. Генетические факторы и полигенная модель болезни Альцгеймера. Генетика 1999; 35 (11): 1558–1571. PMID: 10624576.</mixed-citation></citation-alternatives></ref><ref id="B16"><label>16.</label><citation-alternatives><mixed-citation xml:lang="en">Harold D., Abraham R., Hollingworth P. et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat Genet 2009; 41: 1088–1093. DOI: 10.1038/ng.440. PMID: 19734902.</mixed-citation><mixed-citation xml:lang="ru">Saunders A.M., Strittmatter W.J., Schmechel D. et al. Association of apolipoprotein E allele epsilon 4 with late-onset familial and sporadic Alzheimer’s disease. Neurology 1993; 43: 1467–1472. DOI: 10.1212/WNL.43.8.1467. PMID: 8350998.</mixed-citation></citation-alternatives></ref><ref id="B17"><label>17.</label><citation-alternatives><mixed-citation xml:lang="en">Lambert J.C., Heath S., Even G. et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat Genet 2009; 41: 1094–1099. DOI: 10.1038/ng.439. PMID: 19734903.</mixed-citation><mixed-citation xml:lang="ru">Harold D., Abraham R., Hollingworth P. et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer’s disease. Nat Genet 2009; 41: 1088–1093. DOI: 10.1038/ng.440. PMID: 19734902.</mixed-citation></citation-alternatives></ref><ref id="B18"><label>18.</label><citation-alternatives><mixed-citation xml:lang="en">Golenkina S.A., Goltsov A.Yu., Kuznetsova I.L. et al. Clusterin gene polymorphism (CLU/APOJ) in Alzheimer’s disease and normal in Russian populations. Mol Biol 2010; 44: 620–626. PMID: 20873220. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Lambert J.C., Heath S., Even G. et al. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer’s disease. Nat Genet 2009; 41: 1094–1099. DOI: 10.1038/ng.439. PMID: 19734903.</mixed-citation></citation-alternatives></ref><ref id="B19"><label>19.</label><citation-alternatives><mixed-citation xml:lang="en">Xu W., Tan L., Yu J.T. The role of PICALM in Alzheimer’s disease. Mol Neurobiol 2015; 52: 399–413. DOI: 10.1007/s12035-014-8878-3. PMID: 25186232.</mixed-citation><mixed-citation xml:lang="ru">Голенкина С.А., Гольцов А.Ю., Кузнецова И.Л. и др. Полиморфизм гена кластерина (CLU/APOJ) при болезни Альцгеймера и в норме в российских популяциях. Молекулярная биология 2010; 44 (4): 620–626. PMID: 20873220.</mixed-citation></citation-alternatives></ref><ref id="B20"><label>20.</label><citation-alternatives><mixed-citation xml:lang="en">Ishii R., Canuet L., Aoki Y. et al. Healthy and pathological brain aging: from the perspective of oscillations, functional connectivity, and signal complexity. Neuropsychobiology 2017; 75: 151–-161. DOI: 10.1159/000486870. PMID: 29466802.</mixed-citation><mixed-citation xml:lang="ru">Xu W., Tan L., Yu J.T. The role of PICALM in Alzheimer’s disease. Mol Neurobiol</mixed-citation></citation-alternatives></ref><ref id="B21"><label>21.</label><citation-alternatives><mixed-citation xml:lang="en">Imfeld P., Bodmer M., Schuerch M. et al. Seizures in patients with Alzheimer’s disease or vascular dementia: a population-based nested case-control analysis. Epilepsia 2013; 54: 700–707. DOI: 10.1111/epi.12045. PMID: 23215680.</mixed-citation><mixed-citation xml:lang="ru">2015; 52: 399–413. DOI: 10.1007/s12035-014-8878-3. PMID: 25186232.</mixed-citation></citation-alternatives></ref><ref id="B22"><label>22.</label><citation-alternatives><mixed-citation xml:lang="en">Palop J.J., Mucke L. Epilepsy and cognitive impairments in Alzheimer disease. Arch Neurol 2009; 66: 435–440. DOI: 10.1001/archneurol.2009.15. PMID: 19204149.</mixed-citation><mixed-citation xml:lang="ru">Ishii R., Canuet L., Aoki Y. et al. Healthy and pathological brain aging: from the perspective of oscillations, functional connectivity, and signal complexity. Neuropsychobiology 2017; 75: 151–-161. DOI: 10.1159/000486870. PMID: 29466802.</mixed-citation></citation-alternatives></ref><ref id="B23"><label>23.</label><citation-alternatives><mixed-citation xml:lang="en">Ochoa J.F., Alonso J.F., Duque J.E. et al. Precuneus failures in subjects of the PSEN1 E280A family at risk of developing Alzheimer’s disease detected using quantitative elecroencephalography. J Alzheimers Dis 2017; 58: 1229–1244. DOI:10.3233/JAD-161291. PMID: 28550254.</mixed-citation><mixed-citation xml:lang="ru">Imfeld P., Bodmer M., Schuerch M. et al. Seizures in patients with Alzheimer’s disease or vascular dementia: a population-based nested case-control analysis. Epilepsia 2013; 54: 700–707. DOI: 10.1111/epi.12045. PMID: 23215680.</mixed-citation></citation-alternatives></ref><ref id="B24"><label>24.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N.V., Fokin V.F., Selezneva N.D. [Cerebral dysfunction in individuals genetically predisposed to Alzheimer’s disease]. Vest Ross Akad Med Nauk 1999; 1: 16–20. PMID: 10078057. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Palop J.J., Mucke L. Epilepsy and cognitive impairments in Alzheimer disease. Arch Neurol 2009; 66: 435–440. DOI: 10.1001/archneurol.2009.15. PMID: 19204149.</mixed-citation></citation-alternatives></ref><ref id="B25"><label>25.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N.V., Andreeva T.V., Protasova M.S. et al. Quantitative EEG during normal aging: association with the Alzheimer’s disease genetic risk variant in PICALM gene. Neurobiol Aging 2017; 51: 177.e1–177.e8. DOI: 10.1016/j. neurobiolaging.2016.12.010. PMID: 28073586.</mixed-citation><mixed-citation xml:lang="ru">Ochoa J.F., Alonso J.F., Duque J.E. et al. Precuneus failures in subjects of the PSEN1 E280A family at risk of developing Alzheimer’s disease detected using quantitative elecroencephalography. J Alzheimers Dis 2017; 58: 1229–1244. DOI: 10.3233/JAD-161291. PMID: 28550254.</mixed-citation></citation-alternatives></ref><ref id="B26"><label>26.</label><citation-alternatives><mixed-citation xml:lang="en">Jin N., Lipponen A., Koivisto H. et al. Increased cortical beta power and spike-wave discharges in middle-aged APP/PS1 mice. Neurobiol Aging 2018; 71: 127–141. DOI: 10.1016/j.neurobiolaging.2018.07.009. PMID: 30138766.</mixed-citation><mixed-citation xml:lang="ru">Пономарева Н.В., Фокин В.Ф., Селезнева Н.Д. Церебральная дисфункция у лиц, генетически предрасположенных к болезни Альцгеймера. Вестник РАМН 1999; 1: 16–20. PMID: 10078057.</mixed-citation></citation-alternatives></ref><ref id="B27"><label>27.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N., Andreeva T., Protasova M. et al. Age-dependent effect of Alzheimer’s risk variant of CLU on EEG alpha rhythm in non-demented adults. Front Aging Neurosci 2013; 5: 86. DOI: 10.3389/fnagi.2013.00086. PMID: 24379779.</mixed-citation><mixed-citation xml:lang="ru">Ponomareva N.V., Andreeva T.V., Protasova M.S. et al. Quantitative EEG during normal aging: association with the Alzheimer’s disease genetic risk variant in PICALM gene. Neurobiol Aging 2017; 51: 177.e1–177.e8. DOI: 10.1016/j. neurobiolaging.2016.12.010. PMID: 28073586.</mixed-citation></citation-alternatives></ref><ref id="B28"><label>28.</label><citation-alternatives><mixed-citation xml:lang="en">Moretti D.V., Prestia A., Fracassi C. et al. Specific EEG changes associated with atrophy of hippocampus in subjects with mild cognitive impairment and Alzheimer’s disease. Int J Alzheimers Dis 2012; 2012: 253153. DOI: 10.1155/2012/253153. PMID: 22506130.</mixed-citation><mixed-citation xml:lang="ru">Jin N., Lipponen A., Koivisto H. et al. Increased cortical beta power and spike-wave discharges in middle-aged APP/PS1 mice. Neurobiol Aging 2018; 71: 127–141. DOI: 10.1016/j.neurobiolaging.2018.07.009. PMID: 30138766.</mixed-citation></citation-alternatives></ref><ref id="B29"><label>29.</label><citation-alternatives><mixed-citation xml:lang="en">Golob E.J., Ringman J.M., Irimajiri R. et al. Cortical event-related potentials in preclinical familial Alzheimer disease. Neurology 2009 17; 73: 1649–1655. DOI: 10.1212/WNL.0b013e3181c1de77. PMID: 19917987.</mixed-citation><mixed-citation xml:lang="ru">Ponomareva N., Andreeva T., Protasova M. et al. Age-dependent effect of Alzheimer’s risk variant of CLU on EEG alpha rhythm in non-demented adults. Front Aging Neurosci 2013; 5: 86. DOI: 10.3389/fnagi.2013.00086. PMID: 24379779.</mixed-citation></citation-alternatives></ref><ref id="B30"><label>30.</label><citation-alternatives><mixed-citation xml:lang="en">Braverman E.R., Blum K., Hussman K.L. et al. Evoked potentials and memory/ cognition tests validate brain atrophy as measured by 3T MRI (NeuroQuant) in cognitively impaired patients, PLoS One 2015; 10, e0133609. DOI: 10.1371/ journal.pone.0133609. PMID: 26244349.</mixed-citation><mixed-citation xml:lang="ru">Moretti D.V., Prestia A., Fracassi C. et al. Specific EEG changes associated with atrophy of hippocampus in subjects with mild cognitive impairment and Alzheimer’s disease. Int J Alzheimers Dis 2012; 2012: 253153. DOI: 10.1155/2012/253153. PMID: 22506130.</mixed-citation></citation-alternatives></ref><ref id="B31"><label>31.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N.V., Andreeva Т.А., Protasova М.S. et al. [Asymmetric brain activation in cognitive load and its dependence on genotypes of apolopoprotein E and clusterin related with predisposition to Alzheimer’s disease]. In: [Functional interhemispheric asymmetry and plasticity]. М., 2012: 156–161. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Golob E.J., Ringman J.M., Irimajiri R. et al. Cortical event-related potentials in preclinical familial Alzheimer disease. Neurology 2009 17; 73: 1649–1655. DOI: 10.1212/WNL.0b013e3181c1de77. PMID: 19917987.</mixed-citation></citation-alternatives></ref><ref id="B32"><label>32.</label><citation-alternatives><mixed-citation xml:lang="en">Filippini N., Ebmeier K.P., MacIntosh B.J. et al. Differential effects of the APOE genotype on brain function across the lifespan. Neuroimage 2011; 54: 602–610. DOI: 10.1016/j.neuroimage.2010.08.009. PMID: 20705142.</mixed-citation><mixed-citation xml:lang="ru">Braverman E.R., Blum K., Hussman K.L. et al. Evoked potentials and memory/cognition tests validate brain atrophy as measured by 3T MRI (NeuroQuant) in cognitively impaired patients, PLoS One 2015; 10, e0133609. DOI: 10.1371/ journal.pone.0133609. PMID: 26244349.</mixed-citation></citation-alternatives></ref><ref id="B33"><label>33.</label><citation-alternatives><mixed-citation xml:lang="en">Bakker A., Albert M.S., Krauss G. et al. Response of the medial temporal lobe network in amnestic mild cognitive impairment to therapeutic intervention assessed by fMRI and memory task performance. Neuroimage Clin 2015; 7: 688–698. DOI: 10.1016/j.nicl.2015.02.009. PMID: 25844322.</mixed-citation><mixed-citation xml:lang="ru">Пономарева Н.В., Андреева Т.А., Протасова М.С. и др. Асимметричная активация мозга при когнитивной нагрузке и ее зависимость от генотипов аполипопротеина е и кластерина, связанных с предрасположенностью к болезни Альцгеймера. В кн.: Функциональная межполушарная асимметрия и пластичность. М., 2012: 156–161.</mixed-citation></citation-alternatives></ref><ref id="B34"><label>34.</label><citation-alternatives><mixed-citation xml:lang="en">Wu J.W., Hussaini S.A., Bastille I.M. et al., Neuronal activity enhances tau propagation and tau pathology in vivo. Nat Neurosci 2016; 19: 1085–1092. DOI: 10.1038/nn.4328. PMID: 27322420.</mixed-citation><mixed-citation xml:lang="ru">Filippini N., Ebmeier K.P., MacIntosh B.J. et al. Differential effects of the APOE genotype on brain function across the lifespan. Neuroimage 2011; 54: 602–610. DOI: 10.1016/j.neuroimage.2010.08.009. PMID: 20705142.</mixed-citation></citation-alternatives></ref><ref id="B35"><label>35.</label><citation-alternatives><mixed-citation xml:lang="en">Zeng X.-S., Geng W.-S., Jia J.-J. et al. Cellular and molecular basis of neurodegeneration in Parkinson’s disease. Front Aging Neurosci 2018; 10: 109. DOI:10.3389/fnagi.2018.00109. PMID: 29719505.</mixed-citation><mixed-citation xml:lang="ru">Bakker A., Albert M.S., Krauss G. et al. Response of the medial temporal lobe network in amnestic mild cognitive impairment to therapeutic intervention assessed by fMRI and memory task performance. Neuroimage Clin 2015; 7: 688–698. DOI: 10.1016/j.nicl.2015.02.009. PMID: 25844322.</mixed-citation></citation-alternatives></ref><ref id="B36"><label>36.</label><citation-alternatives><mixed-citation xml:lang="en">Zhang X., Gao F., Wang D. et al. Tau pathology in Parkinson’s disease. Front Neurol 2018; 9: 809. DOI: 10.3389/fneur.2018.00809. PMID:30333786.</mixed-citation><mixed-citation xml:lang="ru">Wu J.W., Hussaini S.A., Bastille I.M. et al., Neuronal activity enhances tau propagation and tau pathology in vivo. Nat Neurosci 2016; 19: 1085–1092. DOI: 10.1038/nn.4328. PMID: 27322420.</mixed-citation></citation-alternatives></ref><ref id="B37"><label>37.</label><citation-alternatives><mixed-citation xml:lang="en">Santos-Reboucas C.B., Goncalves A.P., Dos Santos J.M. et al. rs3851179 polymorphism at 5’ to the PICALM gene is associated with Alzheimer’s and Parkinson’s diseases in Brazilian population. Neuromolecular Med 2017; 19: 293–299. DOI: 10.1007/s12017-017-8444-z. PMID: 28567584.</mixed-citation><mixed-citation xml:lang="ru">Zeng X.-S., Geng W.-S., Jia J.-J. et al. Cellular and molecular basis of neurodegeneration</mixed-citation></citation-alternatives></ref><ref id="B38"><label>38.</label><citation-alternatives><mixed-citation xml:lang="en">Stoffers D., Bosboom J.L., Deijen J.B. et al. Slowing of oscillatory brain activity is a stable characteristic of Parkinson’s disease without dementia. Brain 2007; 130 (Pt 7): 1847–1860. DOI: 10.1093/brain/awm034. PMID: 17412733.</mixed-citation><mixed-citation xml:lang="ru">in Parkinson’s disease. Front Aging Neurosci 2018; 10: 109. DOI:10.3389/fnagi.2018.00109. PMID: 29719505.</mixed-citation></citation-alternatives></ref><ref id="B39"><label>39.</label><citation-alternatives><mixed-citation xml:lang="en">Moll C.K., Buhmann C., Gulberti A. et al. Synchronized cortico-subthalamic beta oscillations in Parkin-associated Parkinson’s disease. Clin Neurophysiol 2015; 126: 2241–2243. DOI: 10.1016/j.clinph.2015.02.008. PMID: 25891422.</mixed-citation><mixed-citation xml:lang="ru">Zhang X., Gao F., Wang D. et al. Tau pathology in Parkinson’s disease. Front Neurol 2018; 9: 809. DOI: 10.3389/fneur.2018.00809. PMID:30333786.</mixed-citation></citation-alternatives></ref><ref id="B40"><label>40.</label><citation-alternatives><mixed-citation xml:lang="en">Caviness J.N., Lue L.F., Hentz J.G. et al. Cortical phosphorylated α-Synuclein levels correlate with brain wave spectra in Parkinson’s disease. Mov Disord. 2016: 1012–1019. DOI: 10.1002/mds.26621. PMID: 27062301.</mixed-citation><mixed-citation xml:lang="ru">Santos-Reboucas C.B., Goncalves A.P., Dos Santos J.M. et al. rs3851179 polymorphism at 5’ to the PICALM gene is associated with Alzheimer’s and Parkinson’s diseases in Brazilian population. Neuromolecular Med 2017; 19: 293– 299. DOI: 10.1007/s12017-017-8444-z. PMID: 28567584.</mixed-citation></citation-alternatives></ref><ref id="B41"><label>41.</label><citation-alternatives><mixed-citation xml:lang="en">Tahmasian M., Eickhoff S.B., Giehl K. et al. Resting-state functional reorganization in Parkinson’s disease: An activation likelihood estimation meta-analysis. Cortex 2017; 92: 119–138. DOI: 10.1016/j.cortex.2017.03.016. PMID: 28467917.</mixed-citation><mixed-citation xml:lang="ru">Stoffers D., Bosboom J.L., Deijen J.B. et al. Slowing of oscillatory brain activity is a stable characteristic of Parkinson’s disease without dementia. Brain 2007; 130 (Pt 7): 1847–1860. DOI: 10.1093/brain/awm034. PMID: 17412733.</mixed-citation></citation-alternatives></ref><ref id="B42"><label>42.</label><citation-alternatives><mixed-citation xml:lang="en">Polito C., Berti V., Ramat S. et al.. Interaction of caudate dopamine depletion and brain metabolic changes with cognitive dysfunction in early Parkinson’s disease Neurobiol Aging 2012; 33: 206.e29–39. DOI: 10.1016/j.neurobiolaging. 2010.09.004. PMID: 20961661.</mixed-citation><mixed-citation xml:lang="ru">Moll C.K., Buhmann C., Gulberti A. et al. Synchronized cortico-subthalamic beta oscillations in Parkin-associated Parkinson’s disease. Clin Neurophysiol 2015; 126: 2241–2243. DOI: 10.1016/j.clinph.2015.02.008. PMID: 25891422.</mixed-citation></citation-alternatives></ref><ref id="B43"><label>43.</label><citation-alternatives><mixed-citation xml:lang="en">Bekar L.K., Wei H.S., Nedergaard M. The locus coeruleus-norepinephrine network optimizes coupling of cerebral blood volume with oxygen demand. J Cereb Blood Flow Metab 2012; 32: 2135–2145. DOI: 10.1038/jcbfm.2012.115. PMID:22872230.</mixed-citation><mixed-citation xml:lang="ru">Caviness J.N., Lue L.F., Hentz J.G. et al. Cortical phosphorylated α-Synuclein levels correlate with brain wave spectra in Parkinson’s disease. Mov Disord. 2016: 1012–1019. DOI: 10.1002/mds.26621. PMID: 27062301.</mixed-citation></citation-alternatives></ref><ref id="B44"><label>44.</label><citation-alternatives><mixed-citation xml:lang="en">Klassen B.T., Hentz J,G., Shill H.A. et al. Quantitative EEG as a predictive biomarker for Parkinson disease dementia. Neurology 2011; 77: 118–124. DOI: 10.1212/WNL.0b013e318224af8d. PMID:21633128.</mixed-citation><mixed-citation xml:lang="ru">Tahmasian M., Eickhoff S.B., Giehl K. et al. Resting-state functional reorganization in Parkinson’s disease: An activation likelihood estimation meta-analysis. Cortex 2017; 92: 119–138. DOI: 10.1016/j.cortex.2017.03.016. PMID: 28467917.</mixed-citation></citation-alternatives></ref><ref id="B45"><label>45.</label><citation-alternatives><mixed-citation xml:lang="en">Malina D.D., Dikevich E.A., Fedotova E.Yu., Ponomareva N.V. [Alpha EEG activity and cognitive function in patients with Parkinson’s disease]. In: [Modern areas of research of functional interhemispheric asymmetry and plasticity of the brain] M., 2010: 584–587. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">Polito C., Berti V., Ramat S. et al.. Interaction of caudate dopamine depletion and brain metabolic changes with cognitive dysfunction in early Parkinson’s disease Neurobiol Aging 2012; 33: 206.e29–39. DOI: 10.1016/j.neurobiolaging. 2010.09.004. PMID: 20961661.</mixed-citation></citation-alternatives></ref><ref id="B46"><label>46.</label><citation-alternatives><mixed-citation xml:lang="en">Polich J. Updating P300: an integrative theory of P3a and P3b, Clin. Neurophysiol 2007; 118: 2128–2148. PMID: 17573239.</mixed-citation><mixed-citation xml:lang="ru">Bekar L.K., Wei H.S., Nedergaard M. The locus coeruleus-norepinephrine network optimizes coupling of cerebral blood volume with oxygen demand. J Cereb Blood Flow Metab 2012; 32: 2135–2145. DOI: 10.1038/jcbfm.2012.115. PMID:22872230.</mixed-citation></citation-alternatives></ref><ref id="B47"><label>47.</label><citation-alternatives><mixed-citation xml:lang="en">Morley J.F., Xie S.X., Hurtig H.I. et al., Genetic influences on cognitive decline in Parkinson’s disease. Mov Disord 2012; 27: 512–518. DOI: 10.1002/ mds.24946. PMID: 22344634.</mixed-citation><mixed-citation xml:lang="ru">Klassen B.T., Hentz J,G., Shill H.A. et al. Quantitative EEG as a predictive biomarker for Parkinson disease dementia. Neurology 2011; 77: 118–124. DOI:10.1212/WNL.0b013e318224af8d. PMID:21633128.</mixed-citation></citation-alternatives></ref><ref id="B48"><label>48.</label><citation-alternatives><mixed-citation xml:lang="en">Rittman T., Rubinov M., Vértes P.E. et al. Regional expression of the MAPT gene is associated with loss of hubs in brain networks and cognitive impairment in Parkinson disease and progressive supranuclear palsy. Neurobiol Aging 2016; 48:153–160. doi: 10.1016/j.neurobiolaging.2016.09.001. PMID: 27697694.</mixed-citation><mixed-citation xml:lang="ru">Малина Д.Д., Дикевич Е.А., Федотова Е.Ю., Пономарева Н.В. Альфа-активность ЭЭГ и когнитивные функции у больных с болезнью Паркинсона. В кн.: Современные направления исследований функциональной межполушарной асимметрии и пластичности мозга. М., 2010: 584–587.</mixed-citation></citation-alternatives></ref><ref id="B49"><label>49.</label><citation-alternatives><mixed-citation xml:lang="en">Dickson D.W., Heckman M.G., Murray M.E. et al. APOE ε4 is associated with severity of Lewy body pathology independent of Alzheimer pathology. Neurology 2018; 91: e1182–e1195. DOI: 10.1212/WNL.0000000000006212. PMID: 30143564.</mixed-citation><mixed-citation xml:lang="ru">Polich J. Updating P300: an integrative theory of P3a and P3b, Clin. Neurophysiol 2007; 118: 2128–2148. PMID: 17573239.</mixed-citation></citation-alternatives></ref><ref id="B50"><label>50.</label><citation-alternatives><mixed-citation xml:lang="en">Videnovic A., Golombek D. Circadian dysregulation in Parkinson’s disease. Neurobiol Sleep Circadian Rhythms 2017; 2: 53–58. DOI: 10.1016/j. nbscr.2016.11.001. PMID: 28713867.</mixed-citation><mixed-citation xml:lang="ru">Morley J.F., Xie S.X., Hurtig H.I. et al., Genetic influences on cognitive decline in Parkinson’s disease. Mov Disord 2012; 27: 512–518. DOI: 10.1002/ mds.24946. PMID: 22344634.</mixed-citation></citation-alternatives></ref><ref id="B51"><label>51.</label><citation-alternatives><mixed-citation xml:lang="en">The Huntington’s disease Collaborative Research Group. A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington’s disease chromosomes. Cell 1993; 72: 971–983. DOI:10.1016/0092- 8674(93)90585-E. PMID: 8458085.</mixed-citation><mixed-citation xml:lang="ru">Rittman T., Rubinov M., Vértes P.E. et al. Regional expression of the MAPT gene is associated with loss of hubs in brain networks and cognitive impairment in Parkinson disease and progressive supranuclear palsy. Neurobiol Aging 2016; 48: 153–160. doi: 10.1016/j.neurobiolaging.2016.09.001. PMID: 27697694.</mixed-citation></citation-alternatives></ref><ref id="B52"><label>52.</label><citation-alternatives><mixed-citation xml:lang="en">Illarioshkin S.N., Igarashi S., Onodera O. et al. Trinucleotide repeat length and rate of progression of Huntington’s disease. Ann Neurol 1994; 36: 630–635. PMID: 7944295.</mixed-citation><mixed-citation xml:lang="ru">Dickson D.W., Heckman M.G., Murray M.E. et al. APOE ε4 is associated with severity of Lewy body pathology independent of Alzheimer pathology. Neurology 2018; 91: e1182–e1195. DOI: 10.1212/WNL.0000000000006212. PMID: 30143564.</mixed-citation></citation-alternatives></ref><ref id="B53"><label>53.</label><citation-alternatives><mixed-citation xml:lang="en">Nguyen L., Bradshaw J.L., Julie C. et al. Electrophysiological measures as potential biomarkers in Huntington’s disease: review and future directions. Brain Res Rev 2010; 64: 177–194. DOI: 10.1016/j.brainresrev.2010.03.004. PMID: 20381528.</mixed-citation><mixed-citation xml:lang="ru">Videnovic A., Golombek D. Circadian dysregulation in Parkinson’s disease. Neurobiol Sleep Circadian Rhythms 2017; 2: 53–58. DOI: 10.1016/j. nbscr.2016.11.001. PMID: 28713867.</mixed-citation></citation-alternatives></ref><ref id="B54"><label>54.</label><citation-alternatives><mixed-citation xml:lang="en">Ponomareva N.V., Klyushnikov S.A., Abramycheva N.Yu. et al. [Changes in the neurophysiological patterns of brain activation during cognitive load at the preclinical stage of Huntington’s disease]. In: [Fundamental problems of neuroscience: functional hemispheric asymmetry, plasticity, neurodegeneration] M.: Scientific world, 2014: 983–989. (in Russ.)</mixed-citation><mixed-citation xml:lang="ru">The Huntington’s disease Collaborative Research Group. A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington’s disease chromosomes. Cell 1993; 72: 971–983. DOI:10.1016/0092-8674(93)90585-E. PMID: 8458085.</mixed-citation></citation-alternatives></ref><ref id="B55"><label>55.</label><citation-alternatives><mixed-citation xml:lang="en">Beste C., Stock A.K., Ness V. et al. A novel cognitive-neurophysiological state biomarker in premanifest Huntington’s disease validated on longitudinal data. Sci Rep 2013; 3: 1797. DOI: 10.1038/srep01797. PMID: 23652721.</mixed-citation><mixed-citation xml:lang="ru">Illarioshkin S.N., Igarashi S., Onodera O. et al. Trinucleotide repeat length and rate of progression of Huntington’s disease. Ann Neurol 1994; 36: 630–635. PMID: 7944295.</mixed-citation></citation-alternatives></ref><ref id="B56"><label>56.</label><mixed-citation>Nguyen L., Bradshaw J.L., Julie C. et al. Electrophysiological measures as potential biomarkers in Huntington’s disease: review and future directions. Brain Res Rev 2010; 64: 177–194. DOI: 10.1016/j.brainresrev.2010.03.004. PMID: 20381528.</mixed-citation></ref><ref id="B57"><label>57.</label><mixed-citation>Пономарева Н.В, Клюшников С.А., Абрамычева Н.Ю. и др. Изменение нейрофизиологических паттернов активации мозга при когнитивной нагрузке на преклинической стадии болезни Гентингтона. В кн.: Фундаментальные проблемы нейронаук: функциональная межполушарная асимметрия, пластичность, нейродегенерация. М.: Научный мир, 2014: 983–989. (in Russ.)</mixed-citation></ref><ref id="B58"><label>58.</label><mixed-citation>Beste C., Stock A.K., Ness V. et al. A novel cognitive-neurophysiological state biomarker in premanifest Huntington’s disease validated on longitudinal data. Sci Rep 2013; 3: 1797. DOI: 10.1038/srep01797. PMID: 23652721.</mixed-citation></ref></ref-list></back></article>
