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EEG and Brain Connectivity: A Tutorial - Bio-Medical Instruments, Inc.

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This is an instantaneous cosine <strong>and</strong> sine representation of a time series from<br />

which the time series of the “cospectrum” <strong>and</strong> “quadspectrum” are<br />

computed from the cross-spectrum (see Appendix B for the mathematical<br />

details of complex demodulation). As described in section 9 the results of<br />

the CDF is the creation of a new real valued time series. The CDF real<br />

valued time series is then used as the input to spectral analyses for the<br />

computation of bi-coherence <strong>and</strong> bi-phase.<br />

25- What is the physiological meaning of <strong>EEG</strong> Auto-Frequency<br />

Coherence (AFC) <strong>and</strong> Auto-Frequency Phase (AFP)?<br />

Cross-channel Auto-Frequency Coherence <strong>and</strong> Auto-frequency phase<br />

measure the spatial <strong>and</strong> temporal relations between <strong>EEG</strong> “spindles” or “burst<br />

activity” <strong>and</strong> “rhythmic episodes” as well as the frequency structure of <strong>EEG</strong><br />

bursts between two channels but at the same frequency (i.e., autofrequency).<br />

Complex demodulation of a <strong>EEG</strong> time series at a given center<br />

frequency measures the instantaneous power (uV 2 ) of activity at each instant<br />

of time in a frequency b<strong>and</strong>, similar to a filter except that the time series is<br />

represented in the complex domain. The frequency spectrum of “spindle<br />

activity” at a given frequency measures spindle duration <strong>and</strong> inter-spindle<br />

intervals or how common spindles are within a record <strong>and</strong> auto bi-coherence<br />

shows the phase synchrony of spindle activity at different frequencies within<br />

a channel. Cross bi-coherence measures the phase synchrony of spindle or<br />

burst activity at the same or different frequency in different channels.<br />

The FFT of the complex demodulation time series (x’ t ) computes the<br />

inter-burst frequency <strong>and</strong> average burst duration <strong>and</strong> burst rise times because<br />

x’ t is the envelope of the spindle structure of <strong>EEG</strong> events. For example,<br />

long duration bursts result in high power in the lower frequencies of the FFT<br />

spectrum. Short inter-burst intervals result in high power at higher<br />

frequencies of the FFT spectrum.

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