In glioma patients, tumor lateralization and grade can critically affect the underlying brain functional connectivity. Little is known about how functional connectivity changes after surgical glioma resection. We employed graph theory analysis to investigate post-surgery longitudinal reorganization of functional networks at global (network-wide) and local (nodal) level. We found that left-lateralized and/or high-grade gliomas show reduced segregation and centrality properties over time, compared to right-lateralized and low-grade gliomas. Our results suggest the importance of pre-surgical mapping of hub networks like the default mode network, in addition to visual, motor and language networks.
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