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 Zijl^4,5, Susumu Mori^4,5

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.