I am comparing groups based on their EEG spectral power across a day in each vigilance state (Wake, NREM, REM). The spectra look good for NREM (high delta, low theta) and REM (prominent theta). However, my waking spectra has a high delta component (in addition to a high, but lower theta component).
I have re-scored the data a few times to see if it was a scoring error, and it doesn't seem to be so. Annoyingly, there seems to be a group difference in the waking delta power...but I don't know how relevant this is as waking delta is not something many people seem to discuss (focus on theta, gamma, etc...).
Any ideas?
if it occurs in the 0.5-1.5 Hz range it might be movement or eye movement artifacts that usually occur around 1 Hz. If you filter out
Hi,
I am not sure if this is the answer, but mice at quiet rest can show slow activity such as delta oscillations, similar to that in sleep. If you have a low theta component at waking it may mean the mouse is not moving and is resting, and this state may dominate the waking periods.
Hope this helps
Please accept advice Marseille. Please refer to the particular spectral characteristics based on circadian rhythms (article attached).
Hi,
I was referring to peak ressonance at 0.5-4 Hz for slow and delta oscillations and 4-7 Hz for theta rhythms.
if it occurs in the 0.5-1.5 Hz range it might be movement or eye movement artifacts that usually occur around 1 Hz. If you filter out
Dear Jeremy,
You might want to have a look at the following refs:
http://www.ncbi.nlm.nih.gov/pubmed/25083014
http://www.ncbi.nlm.nih.gov/pubmed/21525926
Best wishes,
A
Delta waves in mouse EEG during waking can be quite normal. They can also represent sleep pressure, since it increases in the course of sleep deprivation.
And, the EEG spectrum in all three vigilance states can differ considerably between strains.
Have a look at our paper, though there we do not show circadian or time course changes:
Huber R., Deboer T., Tobler I. Effects of sleep deprivation on sleep and sleep EEG in three mouse strains: empirical data and simulations. Brain Res. 857 (2000) 8-19.
Best wishes
Irene
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