Fig. 2.

Brain developmental patterns discovery via tensor decomposition. (a)-(b)Illustration of tensor analysis for multi-subject MEG data. (a) Tensor formation by arranging the subjects along the first dimension. (b) MEG tensor decomposition into $R$ rank-1 components. Each rank-1 component represents a distinct spatiotemporal brain activity pattern with subject weight $\left({\mathbf{a}}_r\right)$ and temporal $\left({\mathbf{b}}_{\mathbf{r}}\right)$ and spatial signatures $\left({\mathbf{c}}_{\mathbf{r}}\right)$. (c) Tensor group-level analysis, which includes subgroup identification and group-level statistical inference. (d) Neural association patterns with functional brain areas discovered via correlation analyses.