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Depression diagnosis based on electroencephalography power ratios.
1Korean Minjok Leadership Academy, Hoengseong-gun, Gangwon-do, Republic of Korea.
Brain and Behavior
|July 21, 2023
Summary
Quantitative electroencephalography (EEG) power ratios, specifically alpha/beta (ABR), show promise as objective biomarkers for diagnosing depression. Decreased ABR in specific brain regions effectively differentiates depressed individuals from healthy controls.
Area of Science:
- Neuroscience
- Psychiatry
- Biomarkers
Background:
- Depression diagnosis relies on subjective measures, hindering accurate identification.
- Quantitative electroencephalography (EEG) shows potential for objective depression diagnosis, but results are inconsistent.
- Investigating EEG power ratios like alpha/beta (ABR) may offer reliable biomarkers.
Purpose of the Study:
- To determine if alpha/beta (ABR), alpha/theta (ATR), and theta/beta (TBR) ratios in EEG data can serve as biological markers for depression.
- To assess the diagnostic accuracy of these EEG power ratios in differentiating depression.
Main Methods:
- Utilized open-access resting-state EEG data from 46 depression patients and 75 healthy controls.
- Extracted spectral data and calculated theta, alpha, and beta band power ratios.
- Employed neural networks, logistic regression, and ROC curves to evaluate diagnostic performance.
Main Results:
- Depression group showed decreased anterior frontal, frontal, central, parietal, occipital, and temporal ABR, and decreased central and parietal TBR.
- ROC analysis confirmed that ABR and TBR ratios effectively differentiated depression.
- Central, frontal, and parietal ABR demonstrated high discrimination; global ABR was most effective via neural network analysis.
Conclusions:
- Central, frontal, and parietal alpha/beta (ABR) ratios are potential biomarkers for differentiating depression.
- These EEG-derived ratios offer objective measures for depression diagnosis.
