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

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Fig. 6 - Illustration of a cortico-cortical connection model. Top is the organization of<br />

intra-cortical connections according to Schulz <strong>and</strong> Braitenberg (2002). A = gray matter<br />

intra-cortical connections, B = ‘U’ shaped white matter connections <strong>and</strong> C = long<br />

distance white matter connections. Bottom is an exemplar contour map of source<br />

correlations in which the horizontal b<strong>and</strong>s of increasing <strong>and</strong> decreasing source<br />

correlations correspond to the different cortico-cortical connection systems as described<br />

in the top of the figure. From Thatcher et al, 2006.<br />

6- What is Coherence?<br />

Coherence is a measure of the amount of phase stability or phase jitter<br />

between two different time series. Coherence combines something<br />

analogous to the “Pearson product-moment correlation” to the phase angles<br />

between two signals. When the phase difference between two signals is<br />

constant than coherence = 1, when the phase difference between signals is<br />

r<strong>and</strong>om then coherence = 0. It is possible for there to be a constant phase<br />

angle difference at two different frequencies. In the later case the<br />

terminology is cross-frequency coherence or bi-spectral coherence or n:m<br />

phase synchrony (Schack et al, 2002; 2005). If the measures are within the<br />

same frequency b<strong>and</strong>, then the terminology is simply “coherence” which<br />

assumes auto-frequency coherence. Coherence is mathematically analogous

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