Altered whole-brain functional network in patients with frontal low-grade gliomas: a resting-state functional MRI study

• Published in: Neuroradiology Vol. 66; no. 5; pp. 775 - 784
• Main Authors: Lv, Kun, Hu, Yue, Cao, Xin, Xie, Yongsheng, Fu, Junyan, Chen, Hongyi, Xiong, Ji, Zhu, Li, Geng, Daoying, Zhang, Jun
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.05.2024; Springer Nature B.V
• Subjects: Advanced Neuroimaging; Brain; Brain cancer; Brain mapping; Brain tumors; Clustering; Efficiency; Functional magnetic resonance imaging; Glioma; Imaging; Magnetic resonance imaging; Medicine; Medicine & Public Health; Neural networks; Neurology; Neuroradiology; Neurosciences; Neurosurgery; Radiology; Theoretical analysis; Topology; Tumors; Functional connectivity; Topology; Magnetic resonance imaging; Gliomas; Neural networks
• ISSN: 0028-3940; 1432-1920; 1432-1920
• DOI: 10.1007/s00234-024-03300-7

Purpose Gliomas are the most common primary brain tumor. Currently, topological alterations of whole-brain functional network caused by gliomas are not fully understood. The work here clarified the topological reorganization of the functional network in patients with unilateral frontal low-grade gliomas (LGGs). Methods A total of 45 patients with left frontal LGGs, 19 with right frontal LGGs, and 25 healthy controls (HCs) were enrolled. All the resting-state functional MRI (rs-fMRI) images of the subjects were preprocessed to construct the functional network matrix, which was used for graph theoretical analysis. A two-sample t -test was conducted to clarify the differences in global and nodal network metrics between patients and HCs. A network-based statistic approach was used to identify the altered specific pairs of regions in which functional connectivity in patients with LGGs. Results The local efficiency, clustering coefficient, characteristic path length, and normalized characteristic path length of patients with unilateral frontal LGGs were significantly lower than HCs, while there were no significant differences of global efficiency and small-worldness between patients and HCs. Compared with the HCs, betweenness centrality, degree centrality, and nodal efficiency of several brain nodes were changed significantly in patients. Around the tumor and its adjacent areas, the inter- and intra-hemispheric connections were significantly decreased in patients with left frontal LGGs. Conclusion The patients with unilateral frontal LGGs have altered global and nodal network metrics and decreased inter- and intra-hemispheric connectivity. These topological alterations may be involved in functional impairment and compensation of patients.