Relationship between Depression and Recurrent EEG Parameters

Igor E Kanunikov
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Igor E Kanunikov: Saint Petersburg State University, Russia

Biomedical Journal of Scientific & Technical Research, 2023, vol. 49, issue 3, 40699-40701

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:49:y:2023:i:3:p:40699-40701

DOI: 10.26717/BJSTR.2023.49.007806

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