Skip to main content
SpringerLink
Log in

Modern Neurophysiological Research of the Human Brain in Clinic and Psychophysiology

  • Conference paper
  • First Online:
Bioengineering and Biomedical Signal and Image Processing (BIOMESIP 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12940))

Abstract

The article presents a comparative classification of most of the known methods for studying the human brain in clinic and psychophysiology. The informativeness of methods for assessing the state of the brain by electric and magnetic dipoles, as well as by various parameters of blood flow, is discussed. In conclusion, a comparative table of the main methods of neuroimaging is given. The table is based on research levels and time – from milliseconds to several years. The most sensitive methods are EEG, ERPs, MEG, ECoG, the less sensitive ones are fMRI, USDG, NIRS, EDA. PET is even less sensitive. A number of methods exist for the study of nuclei, neurons, synapses and separate sections in biophysics and molecular biology.. Along with general methodological approaches, some historical aspects of the development of methods of clinical neurophysiology are highlighted.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Berger, H.: Uber das Elektroenzephalogramm des Menschen. Arch. f. Psychiat. u. Nervenkrankh. 87, 527–570 (1929)

    Article  Google Scholar 

  2. Boucsein, W.: Electrodermal Activity. Springer, Boston, MA (2012)

    Book  Google Scholar 

  3. Daube, J.R. (ed.): Clinical Neurophysiology, 2nd ed. Oxford University Press, Oxford, New York (2002)

    Google Scholar 

  4. Donchin, E., Spencer, K.M., Wijesinghe, R.: The mental prosthesis: assessing the speed of a P300-based brain–computer interface. IEEE Trans. Rehabil. Eng. 8, 174–179 (2000)

    Article  Google Scholar 

  5. Gabriel, F.: Emil du Bois-Reymond: Neuroscience, Self, and Society in Nineteenth-Century Germany. The MIT Press, Cambridge, Massachusetts, London (2013)

    Google Scholar 

  6. Hari, R., Baillet, S., Barnes, G., Burgess, R., Forss, N., Gross, J.: IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG). Clin. Neurophysiol. 129, 1720–1747 (2018)

    Article  Google Scholar 

  7. Hoffmann, U., Vesin, J., Ebrahimi, T., Diserens, K.: An efficient P300-based brain–computer interface for disabled subjects. J. Neurosci. Methods 167, 115–125 (2008)

    Article  Google Scholar 

  8. Höller, Y.: Quantitative EEG in cognitive neuroscience. Brain Sci. 11, 517 (2021)

    Article  Google Scholar 

  9. Intraoperative monitoring of neural function. In: Nuwer, M.R. (ed.), Handbook of Clinical Neurophysiology. Elsevier B.V., Amsterdam, Boston, London, New York (2008)

    Google Scholar 

  10. Jasper, H.H.: The ten-twenty electrode system of the International Federation. Electroencephalogr. Clin. Neurophysiol. 10, 371–375 (1958)

    Google Scholar 

  11. Khil’ko, V., et al.: The topographic mapping of evoked bioelectrical activity and other methods for the functional neural visualization of the brain. Vestnik Rossiiskoi akademii meditsinskikh nauk. 3, 36–41 (1993)

    Google Scholar 

  12. Khil’ko, V.A., Lytaev, S.A., Ostreiko, L.M.: Clinical physiological significance of intraoperative evoked potential monitoring. Hum. Physiol. 28, 619–626 (2002)

    Article  Google Scholar 

  13. Levi-Aharoni, H., Shriki, O., Tishby, N.: Surprise response as a probe for compressed memory states. PLoS Comput. Biol. 16, e1007065 (2020)

    Article  Google Scholar 

  14. Lytaev, S.: Modeling and estimation of physiological, psychological and sensory indicators for working capacity. Adv. Intell. Syst. Comput. 1201, 207–213 (2021)

    Google Scholar 

  15. Lytaev, S., Aleksandrov, M., Lytaev, M.: Estimation of emotional processes in regulation of the structural afferentation of varying contrast by means of visual evoked potentials. Adv. Intell. Syst. Comput. 953, 288–298 (2020)

    Google Scholar 

  16. Lytaev, S., Vatamaniuk, I.: Physiological and medico-social research trends of the wave P300 and more late components of visual event-related potentials. Brain Sci. 11, 125 (2021)

    Article  Google Scholar 

  17. McGrath, M.C.: Near-infrared spectroscopy (NIRS). In: Goldstein, S., Naglieri, J.A. (eds.) Encyclopedia of Child Behavior and Development. Springer, Boston, MA (2011)

    Google Scholar 

  18. Hallett, M. (ed.), Movement disorders. Handbook of Clinical Neurophysiology. Elsevier B.V., Amsterdam, Boston, London, New York (2003)

    Google Scholar 

  19. Niedermeyer, E., Lopes da Silwa, F.: Electroencephalography. Basis, Principles, Clinical Applications Related Fields. Lippincott Williams & Wilkins, Philadelphia, Baltimore, New York (2005)

    Google Scholar 

  20. Rebsamen, B., et al.: Controlling a wheelchair indoors using thought. IEEE Intell. Syst. 22(2), 18–24 (2007). https://doi.org/10.1109/MIS.2007.26

    Article  Google Scholar 

  21. Sellers, E., Donchin, E.: P300-based brain–computer interface: initial tests by ALS patients. Clin. Neurophysiol. 117, 538–548 (2006)

    Article  Google Scholar 

  22. Society for Psychophysiological Research Ad Hoc Committee on Electrodermal Measures: Publication recommendations for electrodermal measurements. Psychophysiology 49, 1017–1034 (2012)

    Article  Google Scholar 

  23. Wolpaw, J.R., et al.: Brain–computer interfaces for communication and control. Clin. Neurophysiol. 113, 767–791 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. St. Petersburg Federal Research Center of the Russian Academy of Sciences, St. Petersburg, 199178, Russia

    Sergey Lytaev

Authors
  1. Sergey Lytaev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sergey Lytaev .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Granada, Granada, Spain

    Daniel Castillo-Secilla

  3. University of Granada, Granada, Spain

    Luis Javier Herrera

  4. Universidad de Granada, Granada, Granada, Spain

    Héctor Pomares

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lytaev, S. (2021). Modern Neurophysiological Research of the Human Brain in Clinic and Psychophysiology. In: Rojas, I., Castillo-Secilla, D., Herrera, L.J., Pomares, H. (eds) Bioengineering and Biomedical Signal and Image Processing. BIOMESIP 2021. Lecture Notes in Computer Science(), vol 12940. Springer, Cham. https://doi.org/10.1007/978-3-030-88163-4_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-88163-4_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-88162-7

  • Online ISBN: 978-3-030-88163-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation