ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ
Нейрофизиологический метод исследования изменения активности сети пассивной работы головного мозга
1 Инженерно-физический институт биомедицины Национального исследовательского ядерного университета «МИФИ», Москва, Россия
2 Медицинская клиника La-Salute, Москва, Россия
Для корреспонденции: Сергей Александрович Гуляев
Каширское шоссе, д. 31, г. Москва, 119604, Россия; ur.xednay@ssurgres
Соблюдение этических стандартов: исследование одобрено этическим комитетом НИЯУ МИФИ (протокол № 09-01/23 от 09 января 2023 г.), проведено в соответствии с принципами Хельсинкской декларации 1964 г. и ее последующих пересмотров.
- Descartes R. Discours de la methode pour bien conduire sa raison, et chercher la verite dans les sciences. Plus la dioptrique ́ et les meteores, qui sont essais de cette methode Rev., & corr. en cette derniere ed. France, Paris. Theodore Girard, 1668; 4 (413): 31.
- Yeshurun Y, Nguyen M, Hasson U. The default mode network: where the idiosyncratic self meets the shared social world. Nat Rev Neurosci. 2021; 22 (3): 181–92. Available from: https://doi.org/ 10.1038/s41583-020-00420-w.
- Zadbood A, Chen J, Leong YC, Norman KA, Hasson U. How We Transmit Memories to Other Brains: Constructing Shared Neural Representations Via Communication. Cereb Cortex. 2017; 27 (10): 4988–5000. Available from: https://doi.org/10.1093/cercor/bhx202.
- Parsons N, Bowden SC, Vogrin S, D'Souza WJ. Default mode network dysfunction in idiopathic generalised epilepsy. Epilepsy Res. 2020; 159: 106254. Available from: https://doi.org/ 10.1016/j.eplepsyres.2019.106254.
- Bathelt J, Geurts HM. Difference in default mode network subsystems in autism across childhood and adolescence. Autism. 2021; 25 (2): 556–65. Available from: https://doi.org/ 10.1177/1362361320969258.
- Harikumar A, Evans DW, Dougherty CC, Carpenter KLH, Michael AM. A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder. Brain Connect. 2021; 11 (4): 253–63. Available from: https://doi.org/10.1089/brain.2020.0865.
- Borserio BJ, Sharpley CF, Bitsika V, Sarmukadam K, Fourie PJ, Agnew LL. Default mode network activity in depression subtypes. Rev Neurosci. 2021; 32 (6): 597–613. Available from: https://doi.org/10.1515/revneuro-2020-0132.
- Liang S, Deng W, Li X, Greenshaw AJ, et al. Biotypes of major depressive disorder: Neuroimaging evidence from restingstate default mode network patterns. Neuroimage Clin. 2020; 28: 102514. Available from: https://doi.org/10.1016/j.nicl.2020.102514.
- Buckner RL, DiNicola LM. The brain's default network: updated anatomy, physiology and evolving insights. Nat Rev Neurosci. 2019; 20 (10): 593–608. Available from: https://doi.org/10.1038/s41583-019-0212-7.
- Preminger S, Harmelech T, Malach R. Stimulus-free thoughts induce differential activation in the human default network. Neuroimage. 2011; 54 (2): 1692–702. Available from: https://doi.org/10.1016/j.neuroimage.2010.08.036.
- Andrews-Hanna JR, Saxe R, Yarkoni T. Contributions of episodic retrieval and mentalizing to autobiographical thought: evidence from functional neuroimaging, resting-state connectivity, and fMRI meta-analyses. Neuroimage. 2014; 91: 324–35. Available from: https://doi.org/ 10.1016/j.neuroimage.2014.01.032. Epub 2014 Jan 31. PMID: 24486981; PMCID: PMC4001766.
- Konishi M, McLaren DG, Engen H, Smallwood J. Shaped by the Past: The Default Mode Network Supports Cognition that Is Independent of Immediate Perceptual Input. PLoS One. 2015; 10 (6): e0132209. Available from: https://doi.org/ 10.1371/journal.pone.0132209.
- Kernbach JM, Yeo BTT, Smallwood J, Margulies DS, Thiebaut de Schotten M, Walter H, Sabuncu MR, Holmes AJ, Gramfort A, Varoquaux G, Thirion B, Bzdok D. Subspecialization within default mode nodes characterized in 10,000 UK Biobank participants. Proc Natl Acad Sci U S A. 2018; 115 (48): 12295–300. Available from: https://doi.org/10.1073/pnas.1804876115.
- Andrews-Hanna JR, Reidler JS, Huang C, Buckner RL. Evidence for the default network's role in spontaneous cognition. J Neurophysiol. 2010; 104 (1): 322–35. Available from: https://doi.org/10.1152/jn.00830.2009.
- Biswal BB. Resting state fMRI: a personal history. Neuroimage. 2012; 62 (2): 938–44. Available from: https://doi.org/ 10.1016/j. neuroimage.2012.01.090.
- Seitzman BA, Snyder AZ, Leuthardt EC, Shimony JS. The State of Resting State Networks. Top Magn Reson Imaging. 2019; 28 (4): 189–96. Available from: https://doi.org/ 10.1097/ RMR.0000000000000214.
- Ebrahimzadeh E, Saharkhiz S, Rajabion L, Oskouei HB, Seraji M, Fayaz F, et al. Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function. Front Syst Neurosci. 2022; 16: 934266. Available from: https://doi.org/ 10.3389/fnsys.2022.934266.
- Gabrielsen TP, Anderson JS, Stephenson KG, Beck J, King JB, Kellems R, Top DN Jr, Russell NCC, Anderberg E, Lundwall RA, Hansen B, South M. Functional MRI connectivity of children with autism and low verbal and cognitive performance. Mol Autism. 2018; 9: 67. DOI: 10.1186/s13229-018-0248-y.
- Li J, Xu L, Zheng X, Fu M, Zhou F, Xu X, et al. Common and Dissociable Contributions of Alexithymia and Autism to Domain-Specific Interoceptive Dysregulations: A Dimensional Neuroimaging Approach. Psychother Psychosom. 2019; 88 (3): 187–89. DOI: 10.1159/000495122.
- Sachs ME, Habibi A, Damasio A, Kaplan JT. Decoding the neural signatures of emotions expressed through sound. Neuroimage. 2018; 174: 1–10. DOI: 10.1016/j.neuroimage.2018.02.058. Epub 2018 Mar 1. PMID: 29501874.
- Hlinka J, Alexakis C, Diukova A, Liddle PF, Auer DP. Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis. Neuroimage. 2010; 53 (1): 239–46. Available from: https://doi.org/10.1016/j. neuroimage.2010.06.002.
- Al-Ezzi A, Kamel N, Faye I, Gunaseli E. Analysis of Default Mode Network in Social Anxiety Disorder: EEG Resting-State Effective Connectivity Study. Sensors (Basel). 2021; 21 (12): 4098. Available from: https://doi.org/10.3390/s21124098.
- Das A, de Los Angeles C, Menon V. Electrophysiological foundations of the human default-mode network revealed by intracranial-EEG recordings during resting-state and cognition. Neuroimage. 2022 ; 250: 118927. Available from: https://doi. org/10.1016/j.neuroimage.2022.118927.
- Mishra A, Englitz B, Cohen MX. EEG microstates as a continuous phenomenon. Neuroimage. 2020; 208: 116454. Available from: https://doi.org/ 10.1016/j.neuroimage.2019.116454. Epub 2019 Dec 10.
- Milz P, Faber PL, Lehmann D, Koenig T, Kochi K, PascualMarqui RD. The functional significance of EEG microstates-Associations with modalities of thinking. Neuroimage. 2016; 125: 643–56. Available from: https://doi.org/ 10.1016/j. neuroimage.2015.08.023.
- Grech R, Cassar T, Muscat J, Camilleri KP, Fabri SG, Zervakis M, Xanthopoulos P, Sakkalis V, Vanrumste B. Review on solving the inverse problem in EEG source analysis. J Neuroeng Rehabil. 2008; 5: 25. Available from: https://doi.org/ 10.1186/1743-0003-5-25.
- Neuner I, Arrubla J, Werner CJ, Hitz K, Boers F, Kawohl W, Shah NJ. The default mode network and EEG regional spectral power: a simultaneous fMRI-EEG study. PLoS One. 2014; 9 (2): e88214. Available from: https://doi.org/10.1371/journal.pone.0088214.
- Whittingstall K, Bartels A, Singh V, Kwon S, Logothetis NK. Integration of EEG source imaging and fMRI during continuous viewing of natural movies. Magn Reson Imaging. 2010; 28 (8): 1135–42. Available from: https://doi.org/ 10.1016/j. mri.2010.03.042.
- The Doman-Delacato treatment of neurologically handicapped children. Neurology. 1968; 18 (12): 1214–6. Available from: https://doi.org/ 10.1212/wnl.18.12.1214.
- Seeck M, Koessler L, Bast T, Leijten F, Michel C, Baumgartner C, et al. The standardized EEG electrode array of the IFCN. Clin Neurophysiol. 2017; 128 (10): 2070–7. Available from: http:// dx.doi.org/10.1016/j.clinph.2017.06.254.
- Duan Y, Wang J. Design of Semiautomatic Digital Creation System for Electronic Music Based on Recurrent Neural Network. Comput Intell Neurosci. 2022; 2022: 5457376. Available from: https://doi.org/ 10.1155/2022/5457376.
- Pascual-Marqui RD. The functional significance of EEG microstates--Associations with modalities of thinking. Neuroimage. 2016; 125: 643–56. Available from: https://doi.org/ 10.1016/j.neuroimage.2015.08.023.
- Poldrack RA, Mumford JA, Nichols TE. Handbook of Functional MRI Data Analysis. Cambridge University Press. 17 p. Available from: https://doi.org/10.1017/CBO9780511895029.
- Sarter M Fritschy JM Reporting statistical methods and statistical results in EJN. Eur J Neurosci. 2008; 28 (12): 2363–4. Available from: https://doi.org/10.1111/j.1460-9568.2008.06581.x.
- Lopes Da Silva FH, Storm Van Leeuwen W. The cortical source of the alpha rhythm. Neurosci Lett. 1977; 6 (2-3): 237–41. Available from: https://www.doi.org/10.1016/0304-3940(77)90024-6.
- Klimesch W. α-band oscillations, attention, and controlled access to stored information. Trends Cogn Sci. 2012; 16 (12): 606–17. Available from: https://www.doi.org/10.1016/j.tics.2012.10.007.
- Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Brain Res Rev. 1999; 29 (2–3): 169–95. Available from: https://www.doi.org/10.1016/s0165-0173(98)00056-3.
- Klimesch W, Sauseng P, Hanslmayr S. EEG alpha oscillations: the inhibition-timing hypothesis. Brain Res Rev. 2007; 53 (1): 63–88. Available from: https://www.doi.org/10.1016/j. brainresrev.2006.06.003.
- Klimesch W, Doppelmayr M, Hanslmayr S. Upper alpha ERD and absolute power: their meaning for memory performance. Prog Brain Res. 2006; 159: 151–65. Available from: https://www.doi. org/10.1016/S0079-6123(06)59010-7.