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Abstract #3992

Simulation of postsurgical functional connectome from presurgical resting-state fMRI: optimization and validation

Henry Szu-Meng Chen1, Vinodh Kumar2, Sujit S Prabhu3, Kyle R Noll4, Sherise D Ferguson3, Ganesh Rao3, Ping Hou1, Jason M Johnson2, and Ho-Ling Anthony Liu1
1Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, United States, 2Neuroradiology, UT MD Anderson Cancer Center, Houston, TX, United States, 3Neurosurgery, UT MD Anderson Cancer Center, Houston, TX, United States, 4Neuropsychology, UT MD Anderson Cancer Center, Houston, TX, United States

Post glioma-resection functional connectomic measures were simulated by modifying the presurgical resting-state fMRI data using the resection margin in 13 patients. The simulation uses atlas based approaches that removes the signal contribution in the resected area based on the portion of parcel removed. The simulated connectomic measures were found to approximate the actual postsurgical connectomic measures. BN246 atlas appears to be more stable in predicting the changes in connectomic measures than AAL90 atlas. The results show that derivation of postsurgical functional connectomic measures from presurgical data is feasible.

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