Skip to main content

Long-Term Stability of EEG Spectral Asymmetry Index – Preliminary Study

  • Conference paper
  • First Online:
XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 (MEDICON 2019)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 76))

Abstract

The purpose of this preliminary study was to assess the long-term stability of the electroencephalography (EEG) based spectral asymmetry index (SASI) previously proposed as an objective measure for evaluation of depression. Due to high variability between individuals, a long-term study is required to examine how SASI changes over longer period of time for an individual subject. One healthy adult was surveyed over the period of 15 months. The eyes closed resting state EEG was analyzed over 15 sessions, on average once a month. The SASI was calculated from EEG power spectrum density as a relative difference in powers of higher and lower band of the EEG spectrum maximum. The long-term stability of SASI for an individual was compared to inter-individual variability of the measure within the group of healthy subjects in our previous study. The results demonstrated that the individual long-term variability of SASI is less than inter-individual variability within a group, supporting the possibility of application of SASI for evaluation of depression symptoms for an individual. In future, the investigations should be extended on larger number of subjects to study the individual properties of SASI.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Hinrikus, H., Suhhova, A., Bachmann, M., et al.: Electroencephalographic spectral asymmetry index for detection of depression. Med. Biol. Eng. Comput 47(12), 1291–1299 (2009). https://doi.org/10.1007/s11517-009-0554-9

    Article  Google Scholar 

  2. Bachmann, M., Lass, J., Suhhova, A., et al.: Spectral asymmetry and Higuchi’s fractal dimension measures of depression electroencephalogram. Comput. Math. Methods Med 2013, 251638 (2013). https://doi.org/10.1155/2013/251638

    Article  MathSciNet  MATH  Google Scholar 

  3. The global burden of disease: 2004 Update. WHO (2014)

    Google Scholar 

  4. Knott, V., Mahoney, C., Kennedy, S., et al.: EEG power, frequency, asymmetry and coherence in male depression. Psychiatry Res. 106(2), 123–140 (2001). https://doi.org/10.1016/S0925-4927(00)00080-9

    Article  Google Scholar 

  5. Leuchter, A.F., Cook, I.A., Hunter, A.M., et al.: Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression. PLoS One 7(2), e32508 (2012). https://doi.org/10.1371/journal.pone.0032508

    Article  Google Scholar 

  6. Allen, J.J., Urry, H.L., Hitt, S.K., et al.: The stability of resting frontal electroencephalographic asymmetry in depression. Psychophysiology 41(2), 269–280 (2004). https://doi.org/10.1111/j.1469-8986.2003.00149.x

    Article  Google Scholar 

  7. Fingelkurts, A.A., Fingelkurts, A.A., Rytsälä, H., et al.: Composition of brain oscillations in ongoing EEG during major depression disorder. Neurosci. Res. 56(2), 133–144 (2006). https://doi.org/10.1016/j.neures.2006.06.006

    Article  Google Scholar 

  8. Bachmann, M., Päeske, L., Kalev, K., et al.: Methods for classifying depression in single channel EEG using linear and nonlinear signal analysis. Comput. Methods Programs Biomed. 155, 11–17 (2018). https://doi.org/10.1016/j.cmpb.2017.11.023

    Article  Google Scholar 

  9. Cusin, C., Yang, H., Yeung, A., et al.: Rating scales for depression. In: Lee, B., Blais, M.A. (eds.) Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health, pp. 7–35. Humana Press, New York (2010)

    Google Scholar 

  10. Aluoja, A., Shlik, J., Vasar, V., et al.: Development and psychometric properties of the emotional state questionnaire, a self-report questionnaire for depression and anxiety. Nord. J. Psychiatry 53, 443–449 (1999). https://doi.org/10.1080/080394899427692

    Article  Google Scholar 

  11. Barth, C., Villringer, A., Sacher, J.: Sex hormones affect neurotransmitters and shape the adult female brain during hormonal transition periods. Front. Neurosci. 9(37) (2015). https://doi.org/10.3389/fnins.2015.00037

  12. Gawali, B.W., Rokade, P.B., Janvale, G.B., et al.: Ovarian hormones and the brain signals. Ann. Neurosci. 16(2), 72–74 (2009)

    Article  Google Scholar 

  13. Yao, D.: A method to standardize a reference of scalp EEG recordings to a point at infinity. Physiol. Meas. 22, 693–711 (2001). https://doi.org/10.1088/0967-3334/22/4/305

    Article  Google Scholar 

Download references

Acknowledgment

This study was financially supported by the Estonian Ministry of Education and Research under institutional research financing IUT 19-2 and by the Estonian Centre of Excellence in IT (EXCITE) funded by the European Regional Development Fund.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tuuli Uudeberg .

Editor information

Editors and Affiliations

Ethics declarations

The authors declare that they have no conflict of interest.

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Uudeberg, T., Päeske, L., Põld, T., Lass, J., Hinrikus, H., Bachmann, M. (2020). Long-Term Stability of EEG Spectral Asymmetry Index – Preliminary Study. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-31635-8_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31634-1

  • Online ISBN: 978-3-030-31635-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics