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Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression

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Influenza and Respiratory Care

Part of the book series: Advances in Experimental Medicine and Biology ((NR,volume 968))

Abstract

There is mounting evidence of a link between the properties of electroencephalograms (EEGs) of depressive patients and the outcome of pharmacotherapy. The goal of this study was to develop an EEG biomarker of antidepressant treatment response which would require only a single EEG measurement. We recorded resting 21-channel EEG in 17 in-patients suffering from bipolar depression in eyes-closed and eyes-open conditions. The EEG measurement was performed at the end of a short washout period which followed previous unsuccessful pharmacotherapy. We calculated the normalized wavelet power of alpha rhythm using two referential montages and an average reference montage. The difference in the normalized alpha wavelet power between 10 responders and 7 non-responders was most strongly pronounced in link mastoid montage in the eyes-closed condition. In particular, in the occipital (O1, O2, Oz) channels the wavelet power of responders was up to 84 % higher than that of non-responders. Using a novel classification algorithm we were able to correctly predict the outcome of treatment with 90 % sensitivity and 100 % specificity. The proposed biomarker requires only a single EEG measurement and consequently is intrinsically different from biomarkers which exploit the changes in prefrontal EEG induced by pharmacotherapy over a given time.

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Acknowledgments

This research was supported by an Intramural Grant from the Institute of Psychiatry and Neurology in Warsaw.

Conflicts of Interests

The authors declare no conflicts of interest in relation to this article.

Author information

Authors and Affiliations

  1. Department of Clinical Neurophysiology, Institute of Psychiatry and Neurology, Warsaw, Poland

    Wojciech Jernajczyk

  2. Second Psychiatric Clinic, Department of Affective Disorders, Institute of Psychiatry and Neurology, Warsaw, Poland

    Paweł Gosek & Łukasz Święcicki

  3. Department of Forensic Psychiatry, Institute of Psychiatry and Neurology, Warsaw, Poland

    Paweł Gosek

  4. Institute of Biomedical Engineering, Wroclaw University of Science and Technology, 27 Wybrzeże Wyspiańskiego, 50-370, Wrocław, Poland

    Klaudia Kozlowska

  5. Mathematics and Information Science Directorate, Army Research Office, Durham, NC, USA

    Bruce J. West

  6. Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wrocław University of Science and Technology, 27 Wybrzeże Wyspiańskiego, 50-370, Wrocław, Poland

    Miroslaw Latka

Authors
  1. Wojciech Jernajczyk
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  2. Paweł Gosek
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  3. Miroslaw Latka
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  4. Klaudia Kozlowska
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  5. Łukasz Święcicki
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  6. Bruce J. West
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Corresponding author

Correspondence to Miroslaw Latka .

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Editors and Affiliations

  1. Opole Medical School, Opole, Poland

    Mieczyslaw Pokorski

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Jernajczyk, W., Gosek, P., Latka, M., Kozlowska, K., Święcicki, Ł., West, B.J. (2017). Alpha Wavelet Power as a Biomarker of Antidepressant Treatment Response in Bipolar Depression. In: Pokorski, M. (eds) Influenza and Respiratory Care. Advances in Experimental Medicine and Biology(), vol 968. Springer, Cham. https://doi.org/10.1007/5584_2016_180

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