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Structural connectivity in recovery after coma: Connectome atlas approach

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...

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Autores principales: Pozeg, Polona, Alemán-Goméz, Yasser, Jöhr, Jane, Muresanu, Dafin, Pincherle, Alessandro, Ryvlin, Philippe, Hagmann, Patric, Diserens, Karin, Dunet, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996111/
https://www.ncbi.nlm.nih.gov/pubmed/36868043
http://dx.doi.org/10.1016/j.nicl.2023.103358
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author Pozeg, Polona
Alemán-Goméz, Yasser
Jöhr, Jane
Muresanu, Dafin
Pincherle, Alessandro
Ryvlin, Philippe
Hagmann, Patric
Diserens, Karin
Dunet, Vincent
author_facet Pozeg, Polona
Alemán-Goméz, Yasser
Jöhr, Jane
Muresanu, Dafin
Pincherle, Alessandro
Ryvlin, Philippe
Hagmann, Patric
Diserens, Karin
Dunet, Vincent
author_sort Pozeg, Polona
collection PubMed
description 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 <.0001). A less extensive overlapping subnetwork correlated with the Coma Recovery Scale Revised score, consisting mostly of the left hemisphere connectivity between the thalamic nuclei and pre- and post-central gyri (network based statistics: t >3.5, P =.033; Spearman’s ρ = 0.58, P <.0001). CONCLUSION: The present findings suggest an important role of structural connectivity between the thalamus, putamen and somatomotor cortex in the recovery from coma as evaluated with neurobehavioral scores. These structures are part of the motor circuit involved in the generation and modulation of voluntary movement, as well as the forebrain mesocircuit supposedly underlying the maintenance of consciousness. As behavioural assessment of consciousness depends heavily on the signs of voluntary motor behaviour, further work will elucidate whether the identified subnetwork reflects the structural architecture underlying the recovery of consciousness or rather the ability to communicate its content.
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spelling pubmed-99961112023-03-10 Structural connectivity in recovery after coma: Connectome atlas approach Pozeg, Polona Alemán-Goméz, Yasser Jöhr, Jane Muresanu, Dafin Pincherle, Alessandro Ryvlin, Philippe Hagmann, Patric Diserens, Karin Dunet, Vincent Neuroimage Clin Regular Article 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 <.0001). A less extensive overlapping subnetwork correlated with the Coma Recovery Scale Revised score, consisting mostly of the left hemisphere connectivity between the thalamic nuclei and pre- and post-central gyri (network based statistics: t >3.5, P =.033; Spearman’s ρ = 0.58, P <.0001). CONCLUSION: The present findings suggest an important role of structural connectivity between the thalamus, putamen and somatomotor cortex in the recovery from coma as evaluated with neurobehavioral scores. These structures are part of the motor circuit involved in the generation and modulation of voluntary movement, as well as the forebrain mesocircuit supposedly underlying the maintenance of consciousness. As behavioural assessment of consciousness depends heavily on the signs of voluntary motor behaviour, further work will elucidate whether the identified subnetwork reflects the structural architecture underlying the recovery of consciousness or rather the ability to communicate its content. Elsevier 2023-02-24 /pmc/articles/PMC9996111/ /pubmed/36868043 http://dx.doi.org/10.1016/j.nicl.2023.103358 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Regular Article
Pozeg, Polona
Alemán-Goméz, Yasser
Jöhr, Jane
Muresanu, Dafin
Pincherle, Alessandro
Ryvlin, Philippe
Hagmann, Patric
Diserens, Karin
Dunet, Vincent
Structural connectivity in recovery after coma: Connectome atlas approach
title Structural connectivity in recovery after coma: Connectome atlas approach
title_full Structural connectivity in recovery after coma: Connectome atlas approach
title_fullStr Structural connectivity in recovery after coma: Connectome atlas approach
title_full_unstemmed Structural connectivity in recovery after coma: Connectome atlas approach
title_short Structural connectivity in recovery after coma: Connectome atlas approach
title_sort structural connectivity in recovery after coma: connectome atlas approach
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996111/
https://www.ncbi.nlm.nih.gov/pubmed/36868043
http://dx.doi.org/10.1016/j.nicl.2023.103358
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