The Two New Biomarkers and Mood Disorders: Bipolar Self, Bipolar EEG

Main Article Content

Sermin Kesebir

Abstract

Background: Although self theory was initially interested in narcissism, it began to explain depression over time. In our previous study, we showed that there was a relationship between self-inventory and mood disorder questionnaire scores in healthy individuals. Self-inventory defensive subscale scores of cases diagnosed with bipolar disorder were higher than healthy individuals. The aim of this study is to investigate whether there is a relationship between self-inventory scores and EEG spectral power densities in bipolar patients.


Methods: For this purpose, 50 cases diagnosed with bipolar disorder according to DSM-V were evaluated consecutively during their regular check-ups in our outpatient clinic. Subjects who gave voluntary consent to participate in the study were required to be in remission period for at least 8 weeks. Self Inventory and EEG applied.


Results: A relationship was found between compensatory grandiose self and FP1 alpha activity, and between defensive grandiose self and F3, Pz, T4, T5 beta activity (Table-1). There is a relationship between compensatory idealized parent image and FP1 delta ve theta, F7, P4, T4 theta, and between defensive idealized parent image and O1, O2 theta T6 beta activity.


Conclusion: According to our results, self-pathology and bipolar disorder overlap electrophysiologically. This suggests that more investigation should be done on the structural origin of mood disorders, in other words, whether the predisposition is a trait or not. As a matter of fact, the mind uses the brain as an interface. Self pathology is a spatiotemporal disorder.

Keywords: Self psychology, bipolar disorder, qEEG

Article Details

How to Cite
KESEBIR, Sermin. The Two New Biomarkers and Mood Disorders: Bipolar Self, Bipolar EEG. Medical Research Archives, [S.l.], v. 12, n. 2, mar. 2024. ISSN 2375-1924. Available at: <https://esmed.org/MRA/mra/article/view/5071>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.18103/mra.v12i2.5071.
Section
Research Articles

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