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Abstract #4187

Predicting pre-surgical language lateralization using resting state fMRI in patients with neuropathologies

Bradford A Moffat1, Sarah Kalus2, Christopher Steward2, Chris Kokkinos3, Patricia M Desmond2, and Pramit Phal3

1Anatomy and Neuroscience, The University of Melbourne, Parkville, Australia, 2Radiology, The University of Melbourne, Parkville, Australia, 3Epworth Medical Imaging, Richmond, Australia

We present a quantitative resting state fMRI method for determining the laterality of language processing in patients undergoing neurosurgical procedures. The results show that laterality indices based on the resting state fMRI can predict a patient’s laterality based on a language task fMRI. This has potential for guiding neurosurgical interventions in patients unable to perform task fMRI exams or during surgery with an interventional MRI scanner.

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