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Chunk #11 — Methods — Graph Analysis

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Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings.
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We hypothesize that network topology, and not just average strength of synchronization as indicated by PLI, is correlated with epilepsy duration in our study population. A graph is a basic topographical representation of a network that consists of nodes (‘vertices’) and connections between these nodes (‘edges’) [17]. Graphs are characterized by a clustering coefficient C and a characteristic path length L. The clustering coefficient C, which is the likelihood that neighbors of a vertex will also be connected, is a measure for the tendency of network elements to form local clusters. The characteristic path length L is the average of the shortest distance between pairs of vertices counted as a number of edges. The path length L indicates how well network elements are integrated or interconnected [17].