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Abstract #0178

The Structural Connectome of the Human Brain in Agenesis of the Corpus Callosum

Julia P. Owen1, Yi-Ou Li1, Etay Ziv1, Zoe Strominger2, Jacquelyn Gold2, Polina Bukshpun2, Mari Wakahiro2, Elliott Sherr2, Pratik Mukherjee1

1Radiology, UCSF, San Francisco, CA, United States; 2Neurology, UCSF, San Francisco, CA, United States

In this work, we investigate he alterations to the global network architecture in the brains of subjects with agenesis of the corpus callosum (AgCC). AgCC is a common congenital brain malformation that results in the complete absence of the corpus callosum. The full extent of the changes in white matter connectivity in AgCC has not been explored. Here, we use MR structural connectomics to reveal the difference in the brain network topology between AgCC and healthy control subjects. This systems level approach motivates the future application of connectomics to the malformed brain.

Keywords

abnormal abnormally absence addition adopting advance allowed altered anatomical anterior applied array assess assignments axial axon betweenness bilaterally brain bundles cerebral channel characteristic clustering coefficient coil common complex comprehensively comprise computed congenital connection connections connectivity consensus consistency control controls core corpus corrected cortex cortical cost course crossed currently degree development diffusion discovery disorder disorders efficiency especially excite excluding explained exploratory extraction female fiber fibers findings fissure form frequency generated global gold granularity great greatly gross guidance handed head healthy hemisphere human illustrate inaccessible included individual insights instead investigated investigations labels length local major male malformations many measures metrics mixture modularity module moll much network networks normally observations otherwise parametric part path pathways perspective potential prior procedure prototypical quantitative radiology reduced registered relatively removal resolution reveal reveals scale sections segment seven simulated statistical statistically statistics strengths structural studies subject subjects table third tools tracts understanding understood variable virtual volunteers white whole yielding