Topic: 1/f like activity

Neural power spectra in the human brain consist of rhythmic oscillations, transient bursts and background 1/f like activity. Several cognitive processes have been linked to neural oscillations, which are thought to be a central mechanism of information flow across brain regions. In this research, we develop a new method based on source reconstructed magnetoencephalography (MEG) resting human brain data to isolate rhythmic episodes from the neural signal. To ensure the detection of genuine oscillatory activity across brain volumes, only local maximum peaks in the power spectra are selected. Pea