AI Article Synopsis
- Independent Component Analysis (ICA) was applied to analyze resting EEG data from 111 patients with early-stage depression and 526 healthy individuals, revealing significant differences in brain activity.
- In depressed patients, increased alpha and theta power was observed in parietal and occipital areas, suggesting reduced cortical activation in these regions, while diffuse beta activity may be linked to anxiety symptoms.
- The ICA method offers a more precise localization of differences in spectral characteristics between depressed patients and healthy subjects compared to traditional EEG analysis methods.
Article Abstract
Independent Component Analysis (ICA) was used for 19-channel resting EEG analysis 111 patients at early stages of depressive disorder and 526 age-matched healthy subjects. Comparison of independent components power spectra in depressed patients and healthy subjects in two states: Eyes closed and Eyes open, has revealed significant differences between groups for three frequency bands: Theta (4-7.5 Hz), Alpha (7.5-14 Hz), and Beta (14-20 Hz). Increased power of alpha and theta activity in depressed patients at parietal and occipital sites may be caused by decreased cortical activation of these regions. Diffuse enhancement of beta activity level can correlate with anxiety symptoms which take an important place in clinical picture of depressive disorder at early stages. Using of ICA method for comparison of spectral characteristics of EEG in groups of patients with different brain pathology and healthy subjects gives a possibility to localize more precisely the discovered differences as compare to traditional analysis of EEG spectra.
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