Resting state fMRI brain mapping in pediatric supratentorial brain tumors

Abstract Background Functional mapping of eloquent brain areas is crucial for preoperative planning in patients with tumors. Resting state functional MRI (rs-fMRI) allows the localization without need task performance, making it well-suited pediatric population. In this study independent component analysis (ICA) rs-fMRI results are reported a group 22 supratentorial Additionally, connectivity (FC) maps sensori-motor network (SMN) obtained using ICA and seed-based (SBA) compared. Results Different resting networks (RSNs) were extracted varying levels sensitivity, notably, SMN was identified 100% patients, followed by Default mode (DMN) (91%) Language (80%). FC SBA more extensive (mean volume = 25,288.36 mm 3 , standard deviation 13,364.36 ) than those found on 13,403.27 9755.661 ). This confirmed statistical Wilcoxon signed rank t test at p < 0.01. Conclusions clearly demonstrate successful applicability localizing different assessment areas, thus represent further step integration computational radiology research clinical setting.