Network analysis shows decreased ipsilesional structural connectivity in glioma patients.

Autor: Fekonja LS; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany. lucius.fekonja@charite.de.; Cluster of Excellence: 'Matters of Activity. Image Space Material', Humboldt University, Berlin, Germany. lucius.fekonja@charite.de., Wang Z; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany., Cacciola A; Department of Biomedical, Dental Sciences and Morphological and Functional Images, University of Messina, Messina, Italy., Roine T; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.; Turku Brain and Mind Center, University of Turku, Turku, Finland., Aydogan DB; Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.; Department of Psychiatry, Helsinki University and Helsinki University Hospital, Helsinki, Finland.; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland., Mewes D; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany., Vellmer S; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany., Vajkoczy P; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany., Picht T; Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Berlin, Germany.; Cluster of Excellence: 'Matters of Activity. Image Space Material', Humboldt University, Berlin, Germany.
Jazyk: angličtina
Zdroj: Communications biology [Commun Biol] 2022 Mar 23; Vol. 5 (1), pp. 258. Date of Electronic Publication: 2022 Mar 23.
DOI: 10.1038/s42003-022-03190-6
Abstrakt: 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.
(© 2022. The Author(s).)
Databáze: MEDLINE
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