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.
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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