Linking Entropy at Rest with the Underlying Structural Connectivity in the Healthy and Lesioned Brain.

Détails

ID Serval
serval:BIB_C14969603743
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Linking Entropy at Rest with the Underlying Structural Connectivity in the Healthy and Lesioned Brain.
Périodique
Cerebral cortex
Auteur(s)
Saenger V.M., Ponce-Alvarez A., Adhikari M., Hagmann P., Deco G., Corbetta M.
ISSN
1460-2199 (Electronic)
ISSN-L
1047-3211
Statut éditorial
Publié
Date de publication
01/08/2018
Peer-reviewed
Oui
Volume
28
Numéro
8
Pages
2948-2958
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
The brain is a network that mediates information processing through a wide range of states. The extent of state diversity is a reflection of the entropy of the network. Here we measured the entropy of brain regions (nodes) in empirical and modeled functional networks reconstructed from resting state fMRI to address the connection of entropy at rest with the underlying structure measured through diffusion spectrum imaging. Using 18 empirical and 18 modeled stroke networks, we also investigated the effect that focal lesions have on node entropy and information diffusion. Overall, positive correlations between node entropy and structure were observed, especially between node entropy and node strength in both empirical and modeled data. Although lesions were restricted to one hemisphere in all stroke patients, entropy reduction was not only present in nodes from the damaged hemisphere, but also in nodes from the contralesioned hemisphere, an effect replicated in modeled stroke networks. Globally, information diffusion was also affected in empirical and modeled strokes compared with healthy controls. This is the first study showing that artificial lesions affect local and global network aspects in very similar ways compared with empirical strokes, shedding new light into the functional nature of stroke.
Mots-clé
Brain Injuries/diagnostic imaging, Brain Injuries/etiology, Brain Injuries/pathology, Brain Mapping, Case-Control Studies, Entropy, Functional Laterality, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Neural Pathways/diagnostic imaging, Neural Pathways/physiopathology, Oxygen/blood, Rest, Stroke/complications, Stroke/pathology
Pubmed
Web of science
Création de la notice
15/11/2017 15:22
Dernière modification de la notice
14/10/2019 6:09
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