Table 3.

Functional brain network construction methods, presented under the matrix-regularized network learning framework.

Method	Data-fitting term	Regularized term (prior)
Pearson’s correlation (PC)	${\Vert W-X^{T}X\Vert }_F^2$	N/A
Sparse representation (SR)	${\Vert X-XW\Vert }_F^2$	λ||W||1 (sparsity)
Low-rank representation (LR)	${\Vert X-XW\Vert }_F^2$	λ||W||* (low-rank)
Sparse + low-rank rep. (SLR)	${\Vert X-XW\Vert }_F^2$	λ1||W||1+λ2||W||* (modularity)