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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