| Autor: |
Polona Pozeg, Yasser Alemán-Goméz, Jane Jöhr, Dafin Muresanu, Alessandro Pincherle, Philippe Ryvlin, Patric Hagmann, Karin Diserens, Vincent Dunet |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
NeuroImage: Clinical, Vol 37, Iss , Pp 103358- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2213-1582 |
| DOI: |
10.1016/j.nicl.2023.103358 |
| Popis: |
Aim: 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. Methods: 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. Results: 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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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