Fiche du document
- doi: 10.1016/j.nicl.2023.103358
- issn: 2213-1582
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.nicl.2023.103358
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/36868043
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/2213-1582
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_8ADDDFD269660
info:eu-repo/semantics/openAccess , CC BY 4.0 , https://creativecommons.org/licenses/by/4.0/
Sujets proches
Comatose stateCiter ce document
P. Pozeg et al., « Structural connectivity in recovery after coma: Connectome atlas approach. », Serveur académique Lausannois, ID : 10.1016/j.nicl.2023.103358
Métriques
Partage / Export
Résumé
Pathological states of recovery after coma as a result of a severe brain injury are marked with changes in structural connectivity of the brain. This study aimed to identify a topological correlation between white matter integrity and the level of functional and cognitive impairment in patients recovering after coma. Structural connectomes were computed based on fractional anisotropy maps from 40 patients using a probabilistic human connectome atlas. We used a network based statistics approach to identify potential brain networks associated with a more favorable outcome, assessed with clinical neurobehavioral scores at the patient's discharge from the acute neurorehabilitation unit. We identified a subnetwork whose strength of connectivity correlated with a more favorable outcome as measured with the Disability Rating Scale (network based statistics: t >3.5, P =.010). The subnetwork predominated in the left hemisphere and included the thalamic nuclei, putamen, precentral and postcentral gyri, and medial parietal regions. Spearman correlation between the mean fractional anisotropy value of the subnetwork and the score was ρ = -0.60 (P 3.5, P =.033; Spearman's ρ = 0.58, P