Static functional connectivity network construction: the multiplex way
In our study, the construction of a static functional connectivity network (sFCN) incorporates the wavelet decomposition of voxel-based time series and a distance correlation metric to quantify the multiplexity between two brain areas. We performed a wavelet decomposition on every voxel-based time series within every ROI by adopting the maximal overlap discrete wavelet transform (MODWT) selecting the Daubechies family implemented with a wavelet length equal to 6 [Wavelet decomposition of voxel-based time series and a multiplex coupling strength index. (A, B) A pair set of voxel-based time series (blue) was decomposed with the maximal overlap discrete wavelet transform (MODWT) in four frequency bands by adopting the Daubechies family implemented with a wavelet length equal to 6 [