Dynamic brain effective connectivity analysis based on low-rank canonical polyadic decomposition: application to epilepsy

In this paper, a new method to track brain effective connectivity networks in the context of epilepsy is proposed. It relies on the combination of partial directed coherence with a constrained low-rank canonical polyadic tensor decomposition. With such combination being established, the most dominat...

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