Topic: spectral fingerprints

Neural oscillations have been associated with different functions and disorders of the brain. Recently, the non-sinusoidal waveform of oscillations has gained interest as a biomarker for neurological and psychiatric diseases, and as an indicator of underlying network physiology. However, waveform analysis in the time domain has been limited to dominant neuronal oscillations and by pre-selection of waveform features. Here, we contribute a novel Fourier-series waveform analysis that is noise resistant and provides a complete description of waveforms. We applied Fourier-based waveform analysis to