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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Bibliographic Details

Published in:	Medical & Biological Engineering & Computing Vol. 59; no. 5; pp. 1081 - 1099
Main Authors:	Chantal, Pierre-Antoine, Karfoul, Ahmad, Nica, Anca, Le Bouquin Jeannès, Régine
Format:	Journal Article
Published:	Springer Nature May2021
Online Access:	View this record in EBSCOhost