Pearson’s Correlation analysis has been applied to construct the connectivity network and describe the connectivity strength between different brain function areas. But the correlation coefficient was sensitive to the noise and just for stationary signals. In this study, a new functional connectivity network constructing method based on DCCA (Detrend Cross Correlation Analysis) for non-stationary signals was proposed and applied on AD and MCI.
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