Topic: beta

Network hyperexcitability in Alzheimer’s Disease (AD) is claimed to be an important and potentially treatable pathophysiological mechanism. Empirical and modeling studies suggest that functional connectivity (FC) are promising quantitative neurophysiological markers for network hyperexcitability. This study examines how robust FC measures differ between AD patients with and without interictal epileptiform discharges (IEDs). We obtained eyes closed source-level magnetoencephalography recordings from demographically matched biomarker confirmed AD patients in the mild cognitive impairment and dem

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