Network analysis shows decreased ipsilesional structural connectivity in glioma patients

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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

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en

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12

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Communications Biology, Volume 5, issue 1, pp. 1-12

Abstract

Gliomas that infiltrate networks and systems, such as the motor system, often lead to substantial functional impairment in multiple systems. Network-based statistics (NBS) allow to assess local network differences and graph theoretical analyses enable investigation of global and local network properties. Here, we used network measures to characterize glioma-related decreases in structural connectivity by comparing the ipsi- with the contralesional hemispheres of patients and correlated findings with neurological assessment. We found that lesion location resulted in differential impairment of both short and long connectivity patterns. Network analysis showed reduced global and local efficiency in the ipsilesional hemisphere compared to the contralesional hemispheric networks, which reflect the impairment of information transfer across different regions of a network.

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Funding Information: L.F., D.M., and T.P. acknowledge the support of the Cluster of Excellence Matters of Activity. Image Space Material funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy—EXC 2025—390648296. T.R. received support from the Finnish Cultural Foundation. Figure 2 was visualized with the BrainNet Viewer toolbox (86). Funding was provided by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy—EXC 2025—390648296. Publisher Copyright: © 2022, The Author(s).

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Fekonja, L S, Wang, Z, Cacciola, A, Roine, T, Aydogan, D B, Mewes, D, Vellmer, S, Vajkoczy, P & Picht, T 2022, 'Network analysis shows decreased ipsilesional structural connectivity in glioma patients', Communications Biology, vol. 5, no. 1, 258, pp. 1-12. https://doi.org/10.1038/s42003-022-03190-6