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Structural network alterations associated with surgical resection of temporal gliomas
Haochen Li1, Zhiqiang Wu2, Mengqi Ding1
1Second School of Clinical, Nanjing Medical University, Nanjing, Jiangsu, China.
Neurological Research
|October 22, 2025
Summary
Surgical removal of temporal gliomas impacts brain networks, decreasing white matter integrity. While global network structure remains stable, regional changes in graph metrics suggest functional decline and potential compensatory recovery after surgery.
Area of Science:
- Neuroimaging
- Graph Theory
- Neurosurgery
Background:
- Alterations in brain structural networks following temporal glioma resection are not well understood.
- Assessing the impact of surgery on brain connectivity is crucial for patient outcomes.
Purpose of the Study:
- To investigate changes in brain structural network properties after surgical resection of temporal gliomas.
- To compare topological network characteristics, fractional anisotropy (FA), and graph metrics before and after surgery.
Main Methods:
- Utilized graph algorithms to analyze neuroimaging data from healthy controls and temporal glioma patients.
- Compared pre- and post-operative topological networks, FA, and graph metrics.
Main Results:
- Post-surgery, FA declined in occipital and frontal regions, while topological network changes were observed in temporal, frontal, and basal ganglia areas.
- Global network efficiency and small-worldness showed no significant changes.
- Degree centrality increased on the affected side but decreased in regions like the amygdala; nodal efficiency varied regionally.
Conclusions:
- Temporal glioma resection can reduce white matter tract integrity (FA).
- Regional decreases in graph metrics may indicate functional decline, while increases suggest compensatory recovery.
- Structural network analysis offers a potential method for evaluating post-operative recovery in temporal glioma patients.
