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Relationship between Depression and Recurrent EEG Parameters

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  • Igor E Kanunikov

    (Saint Petersburg State University, Russia)

Abstract

The study is devoted to finding the relationship between recurrent EEG parameters and depression, assessed using the Beck Depression Inventory. The experiments involved 40 people aged 20-25 years. Background EEG recording in rest with eyes open and closed was carried out in the following 14 leads: F3, F4, F7, F8, T3, T4, T5, T6, C3, C4, P3, P4, O1, O2. Seven indicators of recurrent dynamics obtained using Recurrence quantification analysis were calculated: RR, DET, DIV, L, LAM, TT and ENTR. Significant relationships were found for all types of recurrent EEG parameters with the Beck index scale reflecting the somatic manifestations of depression (Beck2). The fact that there is significant correlation between the recurrent EEG parameters and the scale reflecting the somatic manifestations of depression indicates that people with a more complex and less predictable EEG are better able to resist the somatic manifestations of depression. In other words, the high information capacity of the system allows it to respond flexibly to rapidly changing and unpredictable circumstances.

Suggested Citation

  • Igor E Kanunikov, 2023. "Relationship between Depression and Recurrent EEG Parameters," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 49(3), pages 40699-40701, March.
    • Handle: RePEc:abf:journl:v:49:y:2023:i:3:p:40699-40701
    DOI: 10.26717/BJSTR.2023.49.007806
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