This study aimed to identify alterations in white matter networks caused by glioma and glioma-related epilepsy.
In this study, 61 patients with frontal lobe gliomas were enrolled and classified into the epileptic and non-epileptic groups. Additionally, 14 healthy participants were enrolled after matching for age, sex, and education level. All participants underwent diffusion tensor imaging, and graph theoretical analysis was applied to reveal the topological properties of white matter networks.
The epileptic groups showed relatively intact WM networks, while the non-epileptics groups had damaged network with lower efficiency and higher path length. These findings provide new insights into the mechanisms underlying glioma-related epilepsy.
Epilepsy is a common symptom in patients with frontal lobe glioma. Tumor-related epilepsy was recently considered a type of network disease. Glioma can severely influence the integrity of the white matter network. The association between white matter network changes and presurgical epilepsy remains unclear in glioma patients. This study aims to identify alterations to the subcortical brain networks caused by glioma and glioma-related epilepsy.
Sixty-one patients with frontal lobe gliomas were enrolled and stratified into the epileptic and non-epileptic groups. Additionally, 14 healthy participants were enrolled after matching for age, sex, and education level. All participants underwent diffusion tensor imaging. Graph theoretical analysis was applied to reveal topological changes in their white matter networks. Regions affected by tumors were excluded from the analysis.
Global efficiency was significantly decreased (p = 0.008), while the shortest path length increased (p = 0.02) in the left and right non-epileptic groups compared to the controls. A total of five edges exhibited decreased fiber count in the non-epileptic group (p < 0.05, false discovery rate-corrected). The topological properties and connectional edges showed no significant differences when comparing the epileptic groups and the controls. Additionally, the degree centrality of several nodes connected to the alternated edges was also diminished.
Compared to the controls, the epilepsy groups showed raletively intact WM networks, while the non-epileptsy groups had damaged network with lower efficiency and longer path length. These findings indicated that the occurrence of glioma related epilepsy have association with white matter network intergrity.El texto completo de este artículo está disponible en PDF.
El texto completo de este artículo está disponible en PDF.
Keywords : Glioma, Tumor-related epilepsy, Diffusion tensor imaging, Graph theoretical analysis