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Method Overview. (A) Temporal decomposition of R‐fMRI time series into several clusters based on spatial coherence using k‐means clustering, (B) computation of PC and sparse network matrices for each cluster, and (C) weighting the PC matrix with the corresponding sparse matrix. C is the PC matrix, W is the backbone sparse matrix, and is the weighted sparse correlation matrix.
