How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network

<table>Distribution of the edge density characterizing the adjacency matrices extracted during the different iterations of the connectivity estimation process on simulated data in two different cases: Case 1 (a) → percentage of edges survived to shuffling procedure for a significance level of 5% not corrected for multiple comparison; Case 2 (b) → percentage of edges survived to shuffling procedure for a significance level of 5% corrected for multiple comparisons by means of FDR.</table>

Computational and Mathematical Methods in Medicine

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Figure 2: How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network 

Figure 2 | How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network 