Prediction of electroencephalographic spectra from neurophysiology - art. no. 021903

Citation
Pa. Robinson et al., Prediction of electroencephalographic spectra from neurophysiology - art. no. 021903, PHYS REV E, 6302(2), 2001, pp. 1903
Citations number
46
Categorie Soggetti
Physics
Journal title
PHYSICAL REVIEW E
ISSN journal
1063651X → ACNP
Volume
6302
Issue
2
Year of publication
2001
Part
1
Database
ISI
SICI code
1063-651X(200102)6302:2<1903:POESFN>2.0.ZU;2-W
Abstract
A recent neurophysical model of propagation of electrical waves in the cort ex is extended to include a physiologically motivated subcortical feedback loop via the thalamus. The electroencephalographic spectrum when the system is driven by white noise is then calculated analytically in terms of physi ological parameters, including the effects of filtering of signals by the c erebrospinal fluid, skull, and scalp. The spectral power at low frequencies is found to vary as f(-1) when awake and f(-3) when asleep, with a breakpo int to a steeper power-law tail at frequencies above about 20 Hz in both ca ses; the f(-1) range concurs with recent magnetoencephalographic observatio ns of such a regime. Parameter sensitivities are explored, enabling a model with fewer free parameters to be proposed, and showing that spectra predic ted for physiologically reasonable parameter values strongly resemble those observed in the laboratory. Alpha and beta peaks seen near 10 Hz and twice that frequency, respectively, in the relaxed wakeful state are generated v ia subcortical feedback in this model, thereby leading to predictions of th eir frequencies in terms of physiological parameters, and of correlations i n their occurrence. Subcortical feedback is also predicted to be responsibl e for production of anticorrelated peaks in deep sleep states that correspo nd to the occurrence of theta rhythm at around half the alpha frequency and sleep spindles at 3/2 times the alpha frequency. An additional positively correlated waking peak near three times the alpha frequency is also predict ed and tentatively observed, as are two new types of sleep spindle near 5/2 and 7/2 times the alpha frequency, and anticorrelated with alpha. These re sults provide a theoretical basis for the conventional division of EEG spec tra into frequency bands, but imply that the exact bounds of these bands de pend on the individual. Three types of potential instability are found: one at zero frequency, another in the theta band at around half the alpha freq uency, and a third at the alpha frequency itself.