![]() ![]() Absolute slow wave power declined significantly with increasing age across the entire scalp, whereas declines in theta and sigma power were significant only in frontal regions. Significant correlations were determined by statistical non-parametric mapping. To quantify topographic changes with age, maps were generated of the Pearson’s coefficient of the correlation between power and age at each electrode. After artifact removal, spectral power density was calculated for standard frequency bands for all channels, averaged across the NREM periods of the first 3 sleep cycles. Sleep was evaluated in 92 healthy adults aged 18–65 years old using full polysomnography and high density EEG. The aim of this study was to use high density (256 channel) electroencephalography (EEG) during sleep to characterize topographic changes in sleep EEG power across normal aging, with high spatial resolution. ![]() Sleeping brain activity reflects brain anatomy and physiology. ![]()
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