The use of whole-brain network topology and weighted gene coexpression analysis to identify potential imaging and molecular markers for glioma grading

Key Points

• This research aims to identify imaging and molecular markers that can improve glioma grading through analysis of brain networks.
• Utilized wavelet-based individualized brain structural networks
• Applied weighted gene coexpression analysis
• Developed glioma grading models based on network topology
• Identified novel imaging markers that correlate with glioma grades
• Revealed potential molecular markers associated with cancer progression
• Proposed improved methodologies for cancer neuroscience assessments