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