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Abstract #3560

Probabilistic Corticocortical Connectivity Maps of Human Brain Based on DTI Tractography and Cortical Parcellation

Hao Huang1, Jerry L. Prince2, Aaron Carass2, Bennett Landman3, Peter C.M. van Zijl4,5, Susumu Mori4,5

1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, USA; 2Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA; 3Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; 4Radiology, Johns Hopkins University, Baltimore, MD, USA; 5F.M. Kirby Functional MRI Center, Kennedy Krieger Institute, Baltimore, MD, USA

Corticocortical connectivity is correlated with many neurological or psychiatric diseases and brain functions. With the fused information from cortical parcellation and DTI-based tractography, the mapping of corticocortical tracts from a specific cortical lobe to other cortical areas can be used to set up quantitative connectivity maps. Cortical parcellation was used to localize the cortical lobes for regions of interests in DTI tractography. Probabilistic corticocortical connectivity maps were established by nonlinearly registering the connectivity results from ten subjects to a template space. These probabilistic connectivity maps can serve as important structural connectivity reference for fMRI and disease study.