Algebraic relationship between the structural network's Laplacian and functional network's adjacency matrix is preserved in temporal lobe epilepsy subjects.
Brain networks
Eigen decomposition
Epilepsy
Functional network
Graph theory
Laplacian
Structural network
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
03 2021
03 2021
Historique:
received:
14
06
2020
revised:
16
12
2020
accepted:
21
12
2020
pubmed:
2
1
2021
medline:
2
3
2021
entrez:
1
1
2021
Statut:
ppublish
Résumé
The relationship between anatomic and resting state functional connectivity of large-scale brain networks is a major focus of current research. In previous work, we introduced a model based on eigen decomposition of the Laplacian which predicts the functional network from the structural network in healthy brains. In this work, we apply the eigen decomposition model to two types of epilepsy; temporal lobe epilepsy associated with mesial temporal sclerosis, and MRI-normal temporal lobe epilepsy. Our findings show that the eigen relationship between function and structure holds for patients with temporal lobe epilepsy as well as normal individuals. These results suggest that the brain under TLE conditions reconfigures and rewires the fine-scale connectivity (a process which the model parameters are putatively sensitive to), in order to achieve the necessary structure-function relationship.
Identifiants
pubmed: 33385550
pii: S1053-8119(20)31190-3
doi: 10.1016/j.neuroimage.2020.117705
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
117705Informations de copyright
Copyright © 2020. Published by Elsevier Inc.