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. Author manuscript; available in PMC: 2017 Feb 8.
Published in final edited form as: Conf Proc IEEE Eng Med Biol Soc. 2014;2014:5052–5055. doi: 10.1109/EMBC.2014.6944760

Fig. 4. Disambiguating correlation dynamics.

Fig. 4

(A) Static pairwise correlation for n = 160 channels of fMRI recordings. This ‘recording’ actually consisted of several concatenated datasets, thus creating artificial nonstationarity. Regions of interest are indicated by warmer colors. Application of the filtering procedure yields the temporal trajectory associated with each static correlation pair. The average of these trajectories over two regions of interest (indicated by red squares) are shown. (B) In total, we obtain 12720 pairwise correlation trajectories. Use of the standard clustering technique k-means yields a primary salient region of interest that closely matches the ‘warm’ regions in (A) (red indicates membership). (C) The mean of all trajectories represented in (B), illustrating the (expected) nonstationarity underlying the static characterization in (A).