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Chunk #18 — Examples of changes in the electroencephalogram and event-related oscillations — Power spectral analysis of the spontaneous electroencephalogram

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Brain oscillations in neuropsychiatric disease.
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Power spectral analysis of spontaneous EEG activity is one of the most successfully applied methods for identifying biomarkers. (Figure 1). shows the grand averages of power spectra in 18 bipolar euthymic subjects (red) and 18 healthy controls (black) in the alpha frequency range for the eyes closed recording session from occipital locations (O1, Oz, and O2): the power spectrum in the euthymic subjects ranged up to 1 μV2 across all electrodes but up to 4.8 μV2 for O1, 4 μV2 for Oz, and 4.5 μV2 for O2 in the controls.