459 Dynamic Functional Connectivity Analysis in Left Temporal and Frontal Glioma: Insights Into Network Alterations and Language Deficits

INTRODUCTION: Glioma-induced brain network reorganization often leads to neurological deficits, which vary depending on tumor location. METHODS: Resting-state fMRI was conducted on 32 patients, including 15 with left temporal lesions and 17 with left frontal glioma. Group independent component analysis (ICA) was employed to extract networks, excluding tumor-affected areas, followed by dFC analysis using the sliding window method and k-means clustering. A two-sample t-test compared dFC between speech-deficit and normal speech patients in each group. (p < 0.05) RESULTS: Four recurring FC "States" for temporal tumors and five for frontal tumors extracted. Statistically significant dFC differences were observed between language deficit and normal language groups in states 2–4 for temporal tumors and states 2-5 for frontal tumors. In left temporal tumor patients, speech deficit correlated with increased FC between Visual Network (VN) and Salience/Sensory-motor networks in state 3, and reduced FC between Salience and the right frontoparietal network in state 4. Similarly, in left frontal tumor patients with language deficits, increased FC within the visual network and between visual and salience networks in states 2 and 3 were noted, along with decreased FC between the language network and dorsal attention/frontoparietal networks in state 5. CONCLUSIONS: Overall, our findings highlightes how brain glioma affects dFC within and between resting-state networks, particularly concerning language deficits, suggesting network reorganization and offering insights into tumor-related neurological disruptions' pathophysiology, which could potentially enhance treatment strategies and outcomes for patients.