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Resting-state functional MRI (rs-fMRI) has been proposed as a non-invasive technique for the presurgical mapping of functional networks, in contrast to intraoperative Direct Electrical Stimulation (DES) mapping. While previous studies have investigated the agreement between a predefined DES atlas and resting-state networks in low-grade glioma patients, here we exploit patient-specific DES points and the ReStNeuMap tool to investigate the agreement between sensorimotor, language and speech-articulation networks in a cohort of high- and low-grade glioma patients. We found a good overlap between ReStNeuMap-derived networks and DES points, while low spatial similarity between networks and functional connectivity maps derived from DES.
Moretto et al. (Wed,) studied this question.