Appendix Table. Glossary of key concepts used in this article

Name	Measurement and Meaning
Node	Corresponding to the region of interest defined using parcellation atlas and it is constant in the snapshot static graph at each sliding-window.
Contact	Connection linking a pair of nodes in the snapshot static graphs at each sliding-window.
Sparsity	The ratio of the number of existing contacts divided by the maximum possible number of contacts in the snapshot static graphs.
Aggregated network	Aggregate the contacts over the entire network lifetime, ie, a connection between a pair of nodes would be determined to exist if the pair of nodes is linked by at least one contact at any time step.
Edge	Connection linking a pair of nodes in the aggregated network.
Temporal distance (${\tau }_{i\to j}\left(t\right)$)	τ i→j(t) is defined as the smallest number of time steps required to reach node j from node i starting at time t. Temporal distance is a measure in the time domain, with the smallest value being 1 (when i and j are connected through a static path at time t irrespective of the geometric distance of the static path) and the largest value being infinity (when no time-respecting path exists from i to j at time t.
Temporal global efficiency (Etglob)	E t glob measures how efficient the overall information is exchanged in a time- varying system.
Temporal local efficiency (Etloc)	E t loc measures the overall resilience of the temporal network to local failures caused by the removal of any node at any time step.
Temporal nodal efficiency (Etnodal(G, i))	E t nodal(G, i) measures the ability of temporal information transmission of node i in the temporal network: a node with high Etnodal(G, i) indicates greater interconnectivity with other nodes in the temporal network.