202211201932
Status:
Tags: Neuroimaging EEG
Quantitative EEG
A field concerned with numerical analysis of EEG data and associated behavioral correlates. Typically involves techniques like wavelet and Fourier analysis, with a focus on shared activity between rhythms including phase synchrony (phase lag, coherence) and magnitude synchrony (comodulation/correlation and asymmetry).
Fourier Analysis
Decomposes EEG time series into a voltage x frequency spectral graph commonly called the “power spectrum,” where power is the square of EEG magnitude and magnitude is the integral average of the amplitude of the EEG signal (measured from positive peak to negative peak across time sampled).
Wavelet Analysis
Time-frequency transformation allowing analysis of EEG signals in time extension not possible with Fourier analysis.