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Abstract #2280

Atlas based seed analysis of resting state fMRI for pre-surgical brain mapping

Madalina E Tivarus 1,2 , Alexander Teghipco 2 , Daniel Cole 3 , Michael Utz 1 , and Ali Hussain 1

1 Department of Imaging Sciences, University of Rochester, Rochester, NY, United States, 2 Rochester Center for Brain Imaging, University of Rochester, Rochester, NY, United States, 3 Department of Psychology, Emory University, GA, United States

Resting state fMRI (rs-fMRI) is emerging as an alternative brain mapping method that is independent of patients ability to comply with a task, but it has yet to enter the routine clinical practice due to the complexity of post-processing needed. We proposed an atlas based patient and operator independent seed analysis for processing rs-fMRI that meets the demands of clinical practice while reliably identifying functional networks.

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