An algorithm for the EEG frequency architecture of consciousness and brain body coupling

Wolfgang Klimesch, Wolfgang Klimesch

No abstract available

Keywords: EEG; brain body coupling; golden mean; harmonic oscillations; oscillations; scale free EEG algorithm.

Figures

Figure 1
Figure 1
Illustration of the doubling-halving algorithm as described by formula (2a). (A) The distribution of the frequency domains, together with their bandwidths is shown in the left panel for brain oscillations and in the middle panel for body oscillations. The frequency boundaries are calculated according to the “golden mean role”: The upper frequency boundary of domain i is that frequency which is maximally separated from domain i + 1 and the lower boundary is that frequency which is maximally separated from domain i − 1 (see the inset in the left panel for an example). The predicted frequency architecture for a mouse with a heart rate of 600 bpm (=10 Hz) is shown in the right panel. Note that the values for the center frequencies are the same as for humans but the relation to the index of a domain is changed. (B) Formula (2) can be used to predict the distribution of long-range white matter connectivity. The areas of the yellow rectangles in the left and middle panel represent the percentage of bundles for a frequency domain. Note that the area of each rectangle is constant and that the two sides of the rectangles change according to the doubling-halving algorithm of formula (2). The empirical distribution is shown in the right panel (data are from Hagmann et al. (2008), provided by Olaf Sporns).

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