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...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 59; no. 5; pp. 1081 - 1099 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2021
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| Acceso en línea: | Ver este registro en EBSCOhost |