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Abstract #3977

Functional Connectivity in Glioma patients using Resting State fMRI: Effect on Default Mode, Fronto-Parietal and Dorsal Attention Networks

Mickael Tordjman1, Pradeep Kumar Gupta1, Guillaume Madelin1, Timothy Shepherd1, Mariana Lazar1, and Rajan Jain1,2
1Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Department of Neurosurgery, New York University School of Medicine, New York, NY, United States

Exploration of functional connectivity in patients with brain tumors with Resting state functional MRI (rsfMRI) is expanding, but methodology used and results in previous studies are heterogenous. We explored the disruption of the functional connectivity of the Default Mode, Dorsal Attention and Fronto-Parietal Networks in 35 glioma patients, with a standardized method, using both Seed-Based Connectivity Analysis and Independent Component Analysis. The Default Mode was the most affected network, with global increased connectivity contrasting with a decreased connectivity in the corpus callosum. No difference in connectivity was found between IDH mutant or wildtype tumors.

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