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Strong connectivity was observed between the primary motor cortices bilaterally, as well as between the SMAs.
Strong connectivity depends only on the edges and not on the labels.
Strong connectivity is an equivalence relation on the vertices and the equivalence classes are called the SCCs of G.
Strong connectivity was observed within the identified motor networks between all nodes bilaterally, and especially between the primary motor cortex and supplementary motor area.
Although activity within both frontal clusters left BA 44/45 and 47/45 were highly correlated in the older group, only the latter was correlated with MTG activity, suggesting that although aging may weaken some frontotemporal connections, functionality is preserved by means of strong connectivity between functionally related regions.
By the strong connectivity of ((mathcal{Q},A)), each vertex i belongs to a connective circle (mathcal{C}_{mathcal{Q}}) including vertex k.
So, we also offer a looser definition of strong connectivity as follows.
In this section we will first use the foremost journey algorithm to verify strong connectivity for an FSDN.
In a visual representation, we show strong connectivity as bold bonds and weak connectivity as standard bonds.
The results indicated that strong connectivity was observed among the prefrontal, frontal, and cingulate cortices, and the default mode network.
In [5], the authors extended the results of [4] to the discrete-time models and weakened the condition of instantaneous strong connectivity.
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