Table 4.

Mathematical definitions of network features learned in the sliding window approach

Stationary network features	Definitions
DEN	$\frac{\sum \left(M_{\mathit{ij}-\mathit{nnz}}\left(t\right)/\text{totcon}\right)}{L}$
NP	$\frac{\sum \sqrt{\frac{\sum _{\mathit{ij}}{M}_{\mathit{ij}}{\left(t\right)}^2}{M_{\mathit{ij}-\mathit{nnz}}\left(t\right)}}}{L}$
Dynamic network features	Definitions
NV	$\frac{\sum \sqrt{\frac{\sum _{\mathit{ij}}{\left(M_{\mathit{ij}}\left(t\right)-M_{\mathit{ij}}\left(t-1\right)\right)}^2}{M_{\mathit{ij}-\mathit{nnz}}\left(t\right)}}}{L}$
FOCcs	$\frac{\sum \sqrt{\sum _{\mathit{ij}}{\left({\mathit{Mh}}_{\mathit{ij}}\left(t\right)-{\mathit{Mh}}_{\mathit{ij}}\left(t-1\right)\right)}^2}}{L}$
FOCcns	$\frac{\sum \sqrt{\sum _{\mathit{ij}}{\left({\mathit{Mn}}_{\mathit{ij}}\left(t\right)-{\mathit{Mn}}_{\mathit{ij}}\left(t-1\right)\right)}^2}}{L}$
FOCw	$\frac{\sum \sqrt{\sum _{\mathit{ij}}{\left({\mathit{Mw}}_{\mathit{ij}}\left(t\right)-{\mathit{Mw}}_{\mathit{ij}}\left(t-1\right)\right)}^2}}{L}$

Abbreviations: DEN = density; NP = network power; NV = network variation; FOCcs = flexibility of interhemispheric connections; FOCcns = flexibility of cross‐hemispheric connections; FOCw = flexibility of intrahemispheric connections; ROI = regions‐of‐interest.

Note. (M _ij (t) is the i‐by‐j connectivity matrix containing every element at time t, M _ij‐nnz(t) contains all the nonzero connectivity values in the matrix M _ij (t), totcon is the total possible connections in the matrix, which is the number of ROI times the same number, M _ij (t‐1) is the i‐by‐j connectivity matrix containing every element at time t‐1, Mh_ij represents all homologous connections in matrix M _ij, Mn_ij represents all interhemispheric connections except homologous elements in matrix M _ij, Mw_ij represents all intrahemispheric connections in matrix M _ij, and L represents the total number of windowed correlation matrices).