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Article Dans Une Revue Neuroimage-Clinical Année : 2019

Resting state network plasticity related to picture naming in low-grade glioma patients before and after resection

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Résumé

The dynamic connectome perspective states that brain functions arise from the functional integration of distributed and/or partly overlapping networks. Diffuse low-grade gliomas (DLGG) have a slow infiltrating character. Here we addressed whether and how anatomical disconnection following DLGG growth and resection might interfere with functional resting-state connectivity, specifically in relation to picture naming. Thirty-nine native French persons with a left DLGG were included. All underwent awake surgical resection of the tumor using direct brain electrostimulation to preserve critical eloquent regions. The anatomical disconnectivity risk following the DLGG volume and the resection, and the functional connectivity of resting-state fMRI images in relation to picture naming were evaluated prior to and three months after surgery. Resting-state connectivity patterns were compared with nineteen healthy controls. It was demonstrated that picture naming was strongly dependent on the semantic network that emerged from the integration and interaction of regions within multiple resting-state brain networks, in which their specific role could be explained in the light of the broader resting-state network they take part in. It emphasized the importance of a whole brain approach with specific clinical data input, during resting-state analysis in case of lesion. Adaptive plasticity was found in secondary regions, functionally connected to regions close to the tumor and/or cavity, marked by an increased connectivity of the right and left inferior parietal lobule with the left inferior temporal gyrus. In addition, an important role was identified for the superior parietal lobe, connected with the frontal operculum, suggesting functional compensation by means of attentional resources in order to name a picture via recruitment of the frontoparietal attention network.
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Dates et versions

hal-02542025 , version 1 (11-06-2021)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification - CC BY 4.0

Identifiants

Citer

L.E.H. van Dokkum, S. Moritz Gasser, J. Deverdun, G. Herbet, T. Mura, et al.. Resting state network plasticity related to picture naming in low-grade glioma patients before and after resection. Neuroimage-Clinical, 2019, 24, pp.102010. ⟨10.1016/j.nicl.2019.102010⟩. ⟨hal-02542025⟩
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