Abstract #1798

Cortical Diffusion Analysis of Human Connectome Project Data Identifies Granular Cortices

Qiyuan Tian^1,2, Christoph W.U. Leuze², Hua Wu³, Grant Yang^1,2, Jingyuan Chen^1,2, Jonathan R. Polimeni^4,5, and Jennifer A. McNab²

¹Department of Electrical Engineering, Stanford University, Stanford, CA, United States, ²Department of Radiology, Stanford University, Stanford, CA, United States, ³The Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States, ⁴Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States, ⁵Department of Radiology, Harvard Medical School, Boston, MA, United States

We performed whole-brain cortical surface-based analysis of diffusion orientations on 100 subjects from the Human Connectome Project. Correlations between diffusion angles (angles between primary diffusion orientations and cortical surface normals) and cortical thickness and curvature were removed using rank-based linear regression. The resulting diffusion angle maps show radial diffusion orientations in all regions except for a few granular cortices which have predominantly tangential diffusion orientations. Identification of the granular cortices is greatly enhanced in the group-averaged map compared to a single-subject dataset.

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