ВЗАИМОСВЯЗЬ ФИЗИЧЕСКОЙ АКТИВНОСТИ И ФУНКЦИОНАЛЬНОЙ СВЯЗАННОСТИ МОЗГА
Ключевые слова:
физическая активность, функциональная связанность, электроэнцефалограмма
Аннотация
Цель исследования. Изучить взаимосвязь между физической активностью и характеристиками функциональной связанности (ФС) на основе данных электроэнцефалограммы (ЭЭГ). Материалы и методы. В выборку исследования вошли 43 здоровых респондента в возрасте от 17 до 35 лет (26 женщин). Участники были поделены на две группы. Первая группа (21 человек) – участники, занимающиеся физической активностью более 3 ч в неделю, вторая (22 человека) – участники, не занимающиеся физической активностью.
У всех участников регистрировалась ЭЭГ в состоянии покоя в течение 10 мин. Для оценки различий глобальных характеристик ФС мозга были выбраны такие метрики графа, как характеристическая длина пути, коэффициент кластеризации, индекс тесного мира и модулярность. Результаты. Были получены достоверные различия между двумя группами по величине кластерного коэффициента с помощью критерия Вилкоксона (W = 201, p < 0,001). Для сравнения межгрупповых различий также использовалась процедура ДОТ (двойной односторонний тест), которая позволила оценить эквивалентность групп на основе заранее выбранного размера эффекта. При сравнении двух групп наблюдаются статистически значимые различия для двух односторонних тестов Стьюдента, при этом наблюдаемый размер эффекта превышает заранее выбранный размер эффекта (d = 0,05) как для верхней, так и для нижней границы, что говорит не только о статистической значимости, но и о неэквивалентности выборок. Заключение. У молодых людей, регулярно занимающихся физической активностью более 3 часов в неделю, ФС мозга выше, чем у людей того же возраста, не занимающихся физической активностью, по такому показателю, как коэффициент кластеризации. В целом результаты настоящего исследования показывают, что физическая активность увеличивает ФС мозга в альфа-диапазоне, причем связанность увеличивается за счет появления новых функциональных кластеров внутри уже существующих ассоциаций мозговых регионов.
Литература
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4. Sexton C.E., Betts J.F., Demnitz N. et al. A systematic Review of MRI Studies Examining the Relationship Between Physical Fitness and Activity and the White Matter of the Ageing Brain. Neuro¬image, 2016, vol. 131, pp. 81–90. DOI: 10.1016/j.neuroimage.2015.09.071
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6. Di X., Zhu S., Jin H. et al. Altered Resting Brain Function and Structure in Professional Badminton Players. Brain connectivity, 2012, vol. 2, iss. 4, pp. 225–233. DOI: 10.1089/brain.2011.0050
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23. van den Heuvel M.P., Sporns O. A Cross-Disorder Connectome Landscape of Brain Dysconnectivity. Nature Reviews Neuroscience, 2019, p. 1. DOI: 10.1038/s41583-019-0177-6
24. Li G., He H., Huang M. et al. Identifying Enhanced Cortico-Basal Ganglia Loops Associated with Prolonged Dance Training. Scientific Reports, 2015, vol. 5, p. 10271. DOI: 10.1038/srep10271
25. Markett S., Weber B., Voigt G. et al. Intrinsic Connectivity Networks and Personality: the Temperament Dimension Harm Avoidance Moderates Functional Connectivity in the Resting Brain. Neuroscience, 2013, vol. 240, pp. 98–105. DOI: 10.1016/j.neuroscience.2013.02.056
26. Lakens D., Scheel A.M., Isager P.M. Equivalence Testing for Psychological Research: A Tutorial. Advances in Methods and Practices in Psychological Science, 2018, vol. 1, iss. 2, pp. 259–269. DOI: 10.1177/2515245918770963
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30. Pfurtscheller G., Brunner C., Schlögl A. et al. Mu Rhythm (de) Synchronization and EEG Single-Trial Classification of Different Motor Imagery Tasks. NeuroImage, 2006, vol. 31, iss. 1, pp. 153–159. DOI: 10.1016/j.neuroimage.2005.12.003
31. Donnelly J.E., Greene J.L., Gibson C.A. et al. Physical Activity Across the Curriculum (PAAC): a Randomized Controlled Trial to Promote Physical Activity and Diminish Overweight and Obesity in Elementary School Children. Preventive Medicine, 2009, vol. 49, iss. 4, pp. 336–341. DOI: 10.1016/j.ypmed.2009.07.022
32. Etgen T., Sander D., Huntgeburth U. et al. Physical Activity and Incident Cognitive Impairment in Elderly Persons: the INVADE Study. Archives of Internal Medicine, 2010, vol. 170, iss. 2,
pp. 186–193. DOI: 10.1001/archinternmed.2009.498
33. Middleton L.E., Barnes D.E., Lui L.Y. et al. Physical Activity Over the Life Course and Its Association with Cognitive Performance and Impairment in Old Age. Journal of the American Geriatrics Society, 2010, vol. 58, iss. 7, pp. 1322–1326. DOI: 10.1111/j.1532-5415.2010.02903.x
34. Scully D., Kremer J., Meade M.M. et al. Physical Exercise and Psychological Wellbeing: a Critical Review. British Journal of Sports Medicine, 1998, vol. 32, iss. 2, pp. 111–120. DOI: 10.1136/bjsm.32.2.111
35. R. R Development Core Team: A Language and Environment for Statistical Computing; 2015. 2018. DOI: 10.1890/0012-9658(2002)083[3097:CFHIWS]2.0.CO;2
36. Hardmeier M., Hatz F., Bousleiman H. et al. Reproducibility of Functional Connectivity and Graph Measures Based on the Phase Lag Index (PLI) and Weighted Phase Lag Index (wPLI) Derived from High Resolution EEG. PloS One, 2014, vol. 9, iss. 10, р. e108648. DOI: 10.1371/journal.pone.0108648
37. Singh M.A. Exercise Comes of Age: Rationale and Recommendations for a Geriatric Exercise Prescription. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 2002, vol. 57, iss. 5, pp. 262–282. DOI: 10.1016/j.cger.2004.03.003
38. Hillman C.H., Pontifex M.B., Raine L.B. et al. The Effect of Acute Treadmill Walking on Cognitive Control and Academic Achievement in Preadolescent Children. Neuroscience, 2009, vol. 159, iss. 3, pp. 1044–1054. DOI: 10.1016/j.neuroscience.2009.01.057
39. Biswal B.B., Yetkin F.Z., Haughton V.M. et al. Toward Discovery Science of Human Brain Function. Proceedings of the National Academy of Sciences, 2010, vol. 107, iss. 10, pp. 4734–4739. DOI: 10.1002/mrm.1910340409
2. Chaddock L., Erickson K.I., Prakash R.S. et al. A Neuroimaging Investigation of the Association Between Aerobic Fitness, Hippocampal Volume, and Memory Performance in Peadolescent Children. Brain research, 2010, vol. 1358, pp. 172–183. DOI: 10.1016/j.brainres.2010.08.049
3. Chaddock L., Pontifex M.B., Hillman C.H. et al. A Review of the Relation of Aerobic Fitness and Physical Activity to Brain Structure and Function in Children. Journal of the international Neuro-psychological Society, 2011, vol. 17, iss. 6, pp. 975–985. DOI: 10.1017/S1355617711000567
4. Sexton C.E., Betts J.F., Demnitz N. et al. A systematic Review of MRI Studies Examining the Relationship Between Physical Fitness and Activity and the White Matter of the Ageing Brain. Neuro¬image, 2016, vol. 131, pp. 81–90. DOI: 10.1016/j.neuroimage.2015.09.071
5. Albert N.B., Robertson E.M., Miall R.C. The Resting Human Brain and Motor Learning. Current Biology, 2009, vol. 19, iss. 12, pp. 1023–1027. DOI: 10.1016/j.cub.2009.04.028
6. Di X., Zhu S., Jin H. et al. Altered Resting Brain Function and Structure in Professional Badminton Players. Brain connectivity, 2012, vol. 2, iss. 4, pp. 225–233. DOI: 10.1089/brain.2011.0050
7. Avena-Koenigsberger A., Misic B., Sporns O. Communication Dynamics in Complex Brain Networks. Nature Reviews Neuroscience, 2018, vol. 19, iss. 1, 17 p. DOI: 10.1038/nrn.2017.149
8. Bassett D.S., Sporns O. Network Neuroscience. Nature neuroscience, 2017, vol. 20, iss. 3, p. 353. DOI: 10.1038/nn.4502
9. Bezzola L., Mérillat S., Jäncke L. The Effect of Leisure Activity Golf Practice on Motor Imagery: an fMRI Study in Middle Adulthood. Frontiers in Human Neuroscience, 2012, vol. 6, p. 67. DOI: 10.3389/fnhum.2012.00067
10. Cheron G., Petit G., Cheron J. et al. Brain Oscillations in Sport: Toward EEG Biomarkers of Performance. Frontiers in Psychology, 2016, vol. 7, p. 246. DOI: 10.3389/fpsyg.2016.00246
11. Bullmore E.T., Sporns O. The Economy of Brain Network Organization. Nature Reviews Neuroscience, 2012, vol. 13, iss. 5, p. 336. DOI: 10.1038/nrn3214
12. Williams V.J., Hayes J.P., Forman D.E. et al. Cardiorespiratory Fitness is Differentially Associated with Cortical Thickness in Young and Older Adults. NeuroImage, 2017, vol. 146, pp. 1084–1092. DOI: 10.1016/j.neuroimage.2016.10.033
13. Karpati F.J., Giacosa J., Foster C. et al. Dance and the Brain: a Review. Journal of Dance Medicine & Science, 2015, vol. 19, iss. 3, pp. 128–128. DOI: 10.1111/nyas.12632
14. Ding Q., Ying Z., Gómez-Pinilla F. Exercise Influences Hippocampal Plasticity by Modulating Brain-Derived Neurotrophic Factor Processing. Neuroscience, 2011, vol. 192, pp. 773–780. DOI: 10.1016/j.neuroscience.2011.06.032
15. Firth J., Stubbs B., Vancampfort D. et al. Effect of Aerobic Exercise on Hippocampal Volume in Humans: a Systematic Review and Meta-Analysis. Neuroimage, 2018, vol. 166, pp. 230–238. DOI: 10.1016/j.neuroimage.2017.11.007
16. Gutmann B., Mierau A., Hülsdünker T. et al. Effects of Physical Exercise on Individual Resting State EEG Alpha Peak Frequency. Neural Plasticity, 2015, vol. 2015. DOI: 10.1155/2015/717312
17. Erickson K.I., Hillman C.H., Kramer A.F. Physical Activity, Brain, and Cognition. Current Opinion in Behavioral Sciences, 2015, vol. 4, pp. 27–32. DOI: 10.1016/j.cobeha.2015.01.005
18. Davis C.L., Tomporowski Ph., McDowell J. et al. Exercise Improves Executive Function and Achievement and Alters Brain Activation in Overweight Children: a Randomized, Controlled Trial. Health Psychology, 2011, vol. 30, iss. 1, p. 91. DOI: 10.1037/a0021766
19. Wang J., Lu M., Fan Y. et al. Exploring Brain Functional Plasticity in World Class Gymnasts: a Network Analysis. Brain Structure and Function, 2016, vol. 221, iss. 7, pp. 3503–3519. DOI: 10.1007/s00429-015-1116-6
20. Fingelkurts A.A., Kähkönen S. Functional Connectivity in the Brain – is it an Elusive Concept? Neuroscience & Biobehavioral Reviews, 2005, vol. 28, iss. 8, pp. 827–836. DOI: 10.1016/j.neubiorev.2004.10.009
21. Pontifex M.B., Scudder M.R., Drollette E.S. et al. Fit and Vigilant: The Relationship Between Poorer Aerobic Fitness and Failures in Sustained Attention During Preadolescence. Neuro-psychology, 2012, vol. 26, iss. 4, p. 407. DOI: 10.1037/a0028795
22. Finn E.S., Shen X., Scheinost D. et al. Functional Connectome Fingerprinting: Identifying Individuals Using Patterns of Brain Connectivity. Nature Neuroscience, 2015, vol. 18, iss. 11, p. 1664. DOI: 10.1038/nn.4135
23. van den Heuvel M.P., Sporns O. A Cross-Disorder Connectome Landscape of Brain Dysconnectivity. Nature Reviews Neuroscience, 2019, p. 1. DOI: 10.1038/s41583-019-0177-6
24. Li G., He H., Huang M. et al. Identifying Enhanced Cortico-Basal Ganglia Loops Associated with Prolonged Dance Training. Scientific Reports, 2015, vol. 5, p. 10271. DOI: 10.1038/srep10271
25. Markett S., Weber B., Voigt G. et al. Intrinsic Connectivity Networks and Personality: the Temperament Dimension Harm Avoidance Moderates Functional Connectivity in the Resting Brain. Neuroscience, 2013, vol. 240, pp. 98–105. DOI: 10.1016/j.neuroscience.2013.02.056
26. Lakens D., Scheel A.M., Isager P.M. Equivalence Testing for Psychological Research: A Tutorial. Advances in Methods and Practices in Psychological Science, 2018, vol. 1, iss. 2, pp. 259–269. DOI: 10.1177/2515245918770963
27. Sockeel S., Schwartz D., Pélégrini-Issac M. et al. Large-Scale Functional Networks Identified from Resting-State EEG Using Spatial ICA. PloS One, 2016, vol. 11, iss. 1, р. e0146845. DOI: 10.1371/journal.pone.0146845
28. Taubert M., Lohmann G., Margulies D.S. et al. Long-Term Effects of Motor Training on Resting-State Networks and Underlying Brain Structure. Neuroimage, 2011, vol. 57, iss. 4, pp. 1492–1498. DOI: 10.1016/j.neuroimage.2011.05.078
29. Gramfort A., Luessi M., Larson E. et al. MNE Software for Processing MEG and EEG Data. Neuroimage, 2014, vol. 86, pp. 446–460. DOI: 10.1016/j.neuroimage.2013.10.027
30. Pfurtscheller G., Brunner C., Schlögl A. et al. Mu Rhythm (de) Synchronization and EEG Single-Trial Classification of Different Motor Imagery Tasks. NeuroImage, 2006, vol. 31, iss. 1, pp. 153–159. DOI: 10.1016/j.neuroimage.2005.12.003
31. Donnelly J.E., Greene J.L., Gibson C.A. et al. Physical Activity Across the Curriculum (PAAC): a Randomized Controlled Trial to Promote Physical Activity and Diminish Overweight and Obesity in Elementary School Children. Preventive Medicine, 2009, vol. 49, iss. 4, pp. 336–341. DOI: 10.1016/j.ypmed.2009.07.022
32. Etgen T., Sander D., Huntgeburth U. et al. Physical Activity and Incident Cognitive Impairment in Elderly Persons: the INVADE Study. Archives of Internal Medicine, 2010, vol. 170, iss. 2,
pp. 186–193. DOI: 10.1001/archinternmed.2009.498
33. Middleton L.E., Barnes D.E., Lui L.Y. et al. Physical Activity Over the Life Course and Its Association with Cognitive Performance and Impairment in Old Age. Journal of the American Geriatrics Society, 2010, vol. 58, iss. 7, pp. 1322–1326. DOI: 10.1111/j.1532-5415.2010.02903.x
34. Scully D., Kremer J., Meade M.M. et al. Physical Exercise and Psychological Wellbeing: a Critical Review. British Journal of Sports Medicine, 1998, vol. 32, iss. 2, pp. 111–120. DOI: 10.1136/bjsm.32.2.111
35. R. R Development Core Team: A Language and Environment for Statistical Computing; 2015. 2018. DOI: 10.1890/0012-9658(2002)083[3097:CFHIWS]2.0.CO;2
36. Hardmeier M., Hatz F., Bousleiman H. et al. Reproducibility of Functional Connectivity and Graph Measures Based on the Phase Lag Index (PLI) and Weighted Phase Lag Index (wPLI) Derived from High Resolution EEG. PloS One, 2014, vol. 9, iss. 10, р. e108648. DOI: 10.1371/journal.pone.0108648
37. Singh M.A. Exercise Comes of Age: Rationale and Recommendations for a Geriatric Exercise Prescription. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 2002, vol. 57, iss. 5, pp. 262–282. DOI: 10.1016/j.cger.2004.03.003
38. Hillman C.H., Pontifex M.B., Raine L.B. et al. The Effect of Acute Treadmill Walking on Cognitive Control and Academic Achievement in Preadolescent Children. Neuroscience, 2009, vol. 159, iss. 3, pp. 1044–1054. DOI: 10.1016/j.neuroscience.2009.01.057
39. Biswal B.B., Yetkin F.Z., Haughton V.M. et al. Toward Discovery Science of Human Brain Function. Proceedings of the National Academy of Sciences, 2010, vol. 107, iss. 10, pp. 4734–4739. DOI: 10.1002/mrm.1910340409
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21. Pontifex M.B., Scudder M.R., Drollette E.S. et al. Fit and Vigilant: The Relationship Between Poorer Aerobic Fitness and Failures in Sustained Attention During Preadolescence. Neuro-psychology, 2012, vol. 26, iss. 4, p. 407. DOI: 10.1037/a0028795
22. Finn E.S., Shen X., Scheinost D. et al. Functional Connectome Fingerprinting: Identifying Individuals Using Patterns of Brain Connectivity. Nature Neuroscience, 2015, vol. 18, iss. 11, p. 1664. DOI: 10.1038/nn.4135
23. van den Heuvel M.P., Sporns O. A Cross-Disorder Connectome Landscape of Brain Dysconnectivity. Nature Reviews Neuroscience, 2019, p. 1. DOI: 10.1038/s41583-019-0177-6
24. Li G., He H., Huang M. et al. Identifying Enhanced Cortico-Basal Ganglia Loops Associated with Prolonged Dance Training. Scientific Reports, 2015, vol. 5, p. 10271. DOI: 10.1038/srep10271
25. Markett S., Weber B., Voigt G. et al. Intrinsic Connectivity Networks and Personality: the Temperament Dimension Harm Avoidance Moderates Functional Connectivity in the Resting Brain. Neuroscience, 2013, vol. 240, pp. 98–105. DOI: 10.1016/j.neuroscience.2013.02.056
26. Lakens D., Scheel A.M., Isager P.M. Equivalence Testing for Psychological Research: A Tutorial. Advances in Methods and Practices in Psychological Science, 2018, vol. 1, iss. 2, pp. 259–269. DOI: 10.1177/2515245918770963
27. Sockeel S., Schwartz D., Pélégrini-Issac M. et al. Large-Scale Functional Networks Identified from Resting-State EEG Using Spatial ICA. PloS One, 2016, vol. 11, iss. 1, р. e0146845. DOI: 10.1371/journal.pone.0146845
28. Taubert M., Lohmann G., Margulies D.S. et al. Long-Term Effects of Motor Training on Resting-State Networks and Underlying Brain Structure. Neuroimage, 2011, vol. 57, iss. 4, pp. 1492–1498. DOI: 10.1016/j.neuroimage.2011.05.078
29. Gramfort A., Luessi M., Larson E. et al. MNE Software for Processing MEG and EEG Data. Neuroimage, 2014, vol. 86, pp. 446–460. DOI: 10.1016/j.neuroimage.2013.10.027
30. Pfurtscheller G., Brunner C., Schlögl A. et al. Mu Rhythm (de) Synchronization and EEG Single-Trial Classification of Different Motor Imagery Tasks. NeuroImage, 2006, vol. 31, iss. 1, pp. 153–159. DOI: 10.1016/j.neuroimage.2005.12.003
31. Donnelly J.E., Greene J.L., Gibson C.A. et al. Physical Activity Across the Curriculum (PAAC): a Randomized Controlled Trial to Promote Physical Activity and Diminish Overweight and Obesity in Elementary School Children. Preventive Medicine, 2009, vol. 49, iss. 4, pp. 336–341. DOI: 10.1016/j.ypmed.2009.07.022
32. Etgen T., Sander D., Huntgeburth U. et al. Physical Activity and Incident Cognitive Impairment in Elderly Persons: the INVADE Study. Archives of Internal Medicine, 2010, vol. 170, iss. 2,
pp. 186–193. DOI: 10.1001/archinternmed.2009.498
33. Middleton L.E., Barnes D.E., Lui L.Y. et al. Physical Activity Over the Life Course and Its Association with Cognitive Performance and Impairment in Old Age. Journal of the American Geriatrics Society, 2010, vol. 58, iss. 7, pp. 1322–1326. DOI: 10.1111/j.1532-5415.2010.02903.x
34. Scully D., Kremer J., Meade M.M. et al. Physical Exercise and Psychological Wellbeing: a Critical Review. British Journal of Sports Medicine, 1998, vol. 32, iss. 2, pp. 111–120. DOI: 10.1136/bjsm.32.2.111
35. R. R Development Core Team: A Language and Environment for Statistical Computing; 2015. 2018. DOI: 10.1890/0012-9658(2002)083[3097:CFHIWS]2.0.CO;2
36. Hardmeier M., Hatz F., Bousleiman H. et al. Reproducibility of Functional Connectivity and Graph Measures Based on the Phase Lag Index (PLI) and Weighted Phase Lag Index (wPLI) Derived from High Resolution EEG. PloS One, 2014, vol. 9, iss. 10, р. e108648. DOI: 10.1371/journal.pone.0108648
37. Singh M.A. Exercise Comes of Age: Rationale and Recommendations for a Geriatric Exercise Prescription. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 2002, vol. 57, iss. 5, pp. 262–282. DOI: 10.1016/j.cger.2004.03.003
38. Hillman C.H., Pontifex M.B., Raine L.B. et al. The Effect of Acute Treadmill Walking on Cognitive Control and Academic Achievement in Preadolescent Children. Neuroscience, 2009, vol. 159, iss. 3, pp. 1044–1054. DOI: 10.1016/j.neuroscience.2009.01.057
39. Biswal B.B., Yetkin F.Z., Haughton V.M. et al. Toward Discovery Science of Human Brain Function. Proceedings of the National Academy of Sciences, 2010, vol. 107, iss. 10, pp. 4734–4739. DOI: 10.1002/mrm.1910340409
Опубликован
2020-01-27
Как цитировать
Фекличева, И., Чипеева, Н., Захаров, И., Масленникова, Е., & Исматуллина, В. (2020). ВЗАИМОСВЯЗЬ ФИЗИЧЕСКОЙ АКТИВНОСТИ И ФУНКЦИОНАЛЬНОЙ СВЯЗАННОСТИ МОЗГА. Человек. Спорт. Медицина, 19(4), 50-59. https://doi.org/10.14529/hsm190407
Выпуск
Раздел
Физиология
Copyright (c) 2020 Человек. Спорт. Медицина
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