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

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Auto-Channel Cross-Frequency Phase (ACFP) <strong>and</strong> Cross-Channel<br />

Cross-Frequency Phase (CCFP) are computed in the same manner as in<br />

previous sections by computing the arctangent of the ratio of the<br />

quadspectrum to the cospectrum at each moment of time for the two<br />

transformed phase difference time series.<br />

In summary, there are four categories of the bi-spectrum for the<br />

purposes of relating different frequencies: 1- Auto-Channel Auto-Frequency<br />

(AA), 2- Cross-Channel Auto-Frequency (CA), 3- Auto-Channel Cross-<br />

Frequency (AC) <strong>and</strong> 4- Cross-Channel Cross-Frequency (CC).<br />

29- Auto Channel Cross-Frequency Coherence (ACC) is defined as the<br />

square of the ratio of the cross-spectra within a single channel at two<br />

different frequencies divided by the product of the auto-spectra. For<br />

example, the auto bi-spectrum between the <strong>EEG</strong> theta frequency (4 - 7 Hz)<br />

<strong>and</strong> the beta frequency b<strong>and</strong> (25 – 30 Hz) as recorded from electrode<br />

location F3. To compute auto channel cross-frequency coherence one first<br />

transforms each time point to the complex domain using complex<br />

demodulation <strong>and</strong> then one computes the Fourier transform of the complex<br />

domain time series.<br />

Eq. 27:<br />

Auto Cross-Frequency Coherence (ACC) (f 1 ,f 2 ) after complex demodulation<br />

(x’,y’) is defined as<br />

(<br />

ACC =<br />

∑<br />

N<br />

( a(<br />

x'<br />

f ) u(<br />

x'<br />

' f ) + b(<br />

x'<br />

f ) v(<br />

x''<br />

f )))<br />

1<br />

2<br />

∑<br />

N<br />

( a(<br />

x'<br />

f )<br />

1<br />

1<br />

2<br />

2<br />

+ b(<br />

x'<br />

f )<br />

2<br />

2<br />

2<br />

+ (<br />

)<br />

∑<br />

N<br />

∑<br />

N<br />

( a(<br />

x'<br />

f ) v(<br />

x''<br />

f ) − b(<br />

x'<br />

f ) u(<br />

x'<br />

' f )))<br />

u(<br />

x''<br />

f )<br />

2<br />

1<br />

2<br />

2<br />

+ v(<br />

x'<br />

' f )<br />

2<br />

2<br />

)<br />

1<br />

2<br />

2<br />

Where x = frequency activity recorded from a single channel <strong>and</strong> x’ =<br />

frequency 1 <strong>and</strong> x’’ = frequency two recorded from the same channel. N<br />

<strong>and</strong> the summation sign represents averaging over frequencies in the raw<br />

spectrogram or averaging replications of a given frequency or both. The<br />

numerator <strong>and</strong> denominator of bi-coherence always refers to smoothed or<br />

averaged values, <strong>and</strong>, when there are N replications or N frequencies then<br />

each bi-coherence value has 2N degrees of freedom.

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