Long-range temporal correlations in resting state alpha oscillations in major depressive disorder and obsessive-compulsive disorder

Front Neuroinform. 2024 Feb 21:18:1339590. doi: 10.3389/fninf.2024.1339590. eCollection 2024.

Abstract

Introduction: Mental disorders are a significant concern in contemporary society, with a pressing need to identify biological markers. Long-range temporal correlations (LRTC) of brain rhythms have been widespread in clinical cohort studies, especially in major depressive disorder (MDD). However, research on LRTC in obsessive-compulsive disorder (OCD) is severely limited. Given the high co-occurrence of OCD and MDD, we conducted a comparative LRTC investigation. We assumed that the LRTC patterns will allow us to compare measures of brain cortical balance of excitation and inhibition in OCD and MDD, which will be useful in the area of differential diagnosis.

Methods: In this study, we used the 64-channel resting state EEG of 29 MDD participants, 26 OCD participants, and a control group of 37 volunteers. Detrended fluctuation analyzes was used to assess LRTC.

Results: Our results indicate that all scaling exponents of the three subject groups exhibited persistent LRTC of EEG oscillations. There was a tendency for LRTC to be higher in disorders than in controls, but statistically significant differences were found between the OCD and control groups in the entire frontal and left parietal occipital areas, and between the MDD and OCD groups in the middle and right frontal areas.

Discussion: We believe that these results indicate abnormalities in the inhibitory and excitatory neurotransmitter systems, predominantly affecting areas related to executive functions.

Keywords: detrended fluctuation analysis; electroencephalography; long-range temporal correlations; major depressive disorder; obsessive-compulsive disorder; resting state.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The research was supported by the Russian Science Foundation grant no. 23-25-00531, https://rscf.ru/project/23-25-00531/.