2022/05/18 by Chika Koyama, Koyama, Chika
Chemistry · Neuroscience · #Advanced NMR Techniques and Applications #Molecular spectroscopy and chirality #Functional Brain Connectivity Studies
paper · pdf · doi:10.48550/arxiv.2205.08734
Brain waves still cannot reliably distinguish between awake and asleep states. Here, I present new original indices, voltage subthreshold wave τ and abovethreshold wave burst, for advanced LFP/EEG readings. Assuming that τ is a microwave that fluctuates every sample such as the equipotential, the total number of τ (Nτ) is inferred to be the maximum, and the amplitude of burst (Abst) is inferred to be the minimum. In fact, they invariably had a mean τ duration (Mτ) of 2-3 sample intervals in any case. In addition, τ and burst exhibited self-similarity for sample frequency while occupying approximately 30% and 70% of LFP in the natural state, respectively. Its threshold and Abst were correlated with the vigilance state and decreased to 70% by doubling the sample frequency. The dose of sevoflurane, which inhibits and synchronizes neural activity, was linearly correlated with decreases in the threshold and Nτ. Thus, τ could reflect the uncertainty of the membrane potential. I propose that τ and burst represent a pause and an activity such as the rhythm of the brain.