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QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response

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Computational Neuroscience

Part of the book series: Neuromethods ((NM,volume 199))

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Abstract

Electroencephalography (EEG) is widely accessible and can be relatively easily applied in clinical settings. This chapter is focused on selected quantitative electroencephalographic (QEEG) and event-related potential (ERP) measures as promising diagnostic and prognostic markers of psychotic and mood disorders. We first review the evidence linking mismatch negativity (MMN) and P300 ERPs to psychosis. While not specific only for psychotic disorders, MMN and P300 represent promising markers of the onset of psychosis in high-risk individuals as well as of the outcome in psychotic patients. The second part of this chapter covers the application of QEEG techniques in the search for diagnostic and prognostic biomarkers of depression. In particular, research suggests that increased power of alpha EEG oscillations is associated with depression and response to treatment with antidepressants. Furthermore, early decrease in theta cordance predicts good treatment response to both pharmacological and non-pharmacological treatments of depression. Research including large samples of patients is needed to confirm clinical utility and cost-effectiveness of these biomarkers.

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Acknowledgements

This work was supported by the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic (project no. VEGA 2/0118/21).

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Authors and Affiliations

  1. Department of Psychiatry and Medical Psychology and Research Institute at Medical University of Plovdiv, Plovdiv, Bulgaria

    Sevdalina Kandilarova

  2. Social, Cognitive and Affective Neuroscience Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria

    Igor Riečanský

  3. Department of Behavioural Neuroscience, Centre of Experimental Medicine, Slovak Academy of Sciences, Bratislava, Slovakia

    Igor Riečanský

  4. Department of Psychiatry, Faculty of Medicine, Slovak Medical University in Bratislava, Bratislava, Slovakia

    Igor Riečanský

Authors
  1. Sevdalina Kandilarova
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  2. Igor Riečanský
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Correspondence to Igor Riečanský .

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Editors and Affiliations

  1. Division of Translational Neuroscience, Medical University of Plovdiv, Plovdiv, Bulgaria

    Drozdstoy Stoyanov

  2. University of Lausanne, CHUV, Lausanne, Switzerland

    Bogdan Draganski

  3. Pathophysiology and Transplantation, University of Milan, Milan, Italy

    Paolo Brambilla

  4. Cognitive & Affective Neuroscience Unit, University of Vienna, Vienna, Austria

    Claus Lamm

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Kandilarova, S., Riečanský, I. (2023). QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response. In: Stoyanov, D., Draganski, B., Brambilla, P., Lamm, C. (eds) Computational Neuroscience. Neuromethods, vol 199. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3230-7_6

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  • DOI: https://doi.org/10.1007/978-1-0716-3230-7_6

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  • Publisher Name: Humana, New York, NY

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