Figure 1.

A schematic for Multi‐Scale Network Regression (MSNR). We developed a penalized multivariate approach for modeling brain networks that explicitly respects both edge‐ and community‐level information. We specified the MSNR model in Equation (2), which is visually represented here. Under the model, Aⁱ is the connectivity matrix for the i‐th subject, Θ is a low‐rank matrix representing the mean connectivity across all subjects, Γ¹, …, Γ^q are sparse matrices representing the community‐level connectivity associated with the covariates $\left(X_i^1,\dots ,X_i^q\right)$, and ɛⁱ is the noise