The investigation of spatial transcriptomics in glioblastoma (GBM) has revealed significant insights into the tumor's heterogeneity and its clinical implications. One study developed a novel technique utilizing time-of-flight secondary ion mass spectrometry (TOF-SIMS) to achieve an unprecedented spatial resolution of 800 nm for detecting proteins and metabolites within glioma tissues. This method allows for a detailed analysis of the tumor microenvironment, highlighting inter- and intratumoral heterogeneity, which is crucial for understanding the aggressive nature of GBM and predicting clinical outcomes (ref: Gularyan doi.org/10.1074/mcp.RA120.001986/). The results indicate that such high-resolution spatial analysis can provide valuable data that may inform therapeutic strategies and improve patient management. In addition to molecular profiling, functional imaging techniques such as resting state functional magnetic resonance imaging (fMRI) have been evaluated for their role in presurgical planning for glioma patients. A study involving 71 patients compared the effectiveness of resting state fMRI against task-based fMRI and traditional anatomical localization methods. The findings suggest that while fMRI can enhance the prediction of motor risks associated with tumor resection, its added value over expert neuroradiological review varies. The study also explored the impact of accelerated resting fMRI acquisitions on network detectability, indicating that advancements in imaging technology could further refine surgical approaches and outcomes (ref: Voets doi.org/10.1007/s00062-020-00879-1/).