Topic: non-sinusoidal waveform

Neural oscillations provide unique insights into brain function in health and disease. Recently, the non-sinusoidal waveform shape of oscillations has gained interest as a promising biomarker of underlying network physiology. However, the relationship between spiking activity and the oscillatory shape of population signals such as the local field potential (LFP) is unknown. To address this, we simultaneously recorded LFP and multi-unit spiking activity in 8 different cortical and subcortical brain areas of macaque monkeys. We applied Fourier-based waveform analysis to LFP oscillations and syst

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