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Fig. 1 | Applied Network Science

Fig. 1

From: Ranking of communities in multiplex spatiotemporal models of brain dynamics

Fig. 1

This figure shows how brain activity can be modelled as being generated by a system of either static (A) or dynamic (B) states, and, in particular, how such a dynamic brain state model can be interpreted as a multiplex network with modular structure (C). In A a static pattern (left) of functional activity (colour of functional activity map) and connectivity (edges between regions) is observed (green arrow) as a stationary multi-ROI multi-subject time series (right) in which each dimension is the activity observed for a particular Region of Interest (ROI) in each subject (separated by a dotted line). B Shows state dynamics for a multi-subject system with multiple states (left). In this system each state is represented by a colour and arrow length indicates its duration in time. This is observed as a multivariate time series composed of weakly stationary segments (right). Segment colour indicates the state that generated it. In C we use temporal relationships between states to represent the system as a dynamic multiplex graph. This system is decomposed (purple arrow) into its essential temporal (coloured ellipses) and spatial modules or functional networks (coloured subgraphs). Dashed circles around states show state hubs, important states in each community which are central to the dynamics and facilitation of brain activity across subjects

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