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Estimating sparse functional brain networks with spatial constraints for MCI identification

Fig 4

Classification accuracy by PC, SR and the proposed methods based on different parametric values.

The horizontal axis represents network density (a) or regularization parameter (b-d), and the vertical axis represents the classification accuracy.

Fig 4

doi: https://doi.org/10.1371/journal.pone.0235039.g004