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NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity

Fig 4

An example of the application of the binomial distribution on the structural WICVF-weighted connections derived with sCCA between WICVF and the δ EEG connectomes.

We show the averaged canonical correlation coefficient weights of the structural connections. Fig 4a shows all the available structural connection, Fig 4b shows the connections that are rejected with probability significant above chance, Fig 4c shows the remaining connections once we remove the rejected connections and Fig 4d shows the connections that are selected with probability significantly above chance.

Fig 4