title: Registering cortical surfaces based on whole-brain structural connectivity and continuous connectivity analysis.
abstract: We present a framework for registering cortical surfaces based on tractography-informed structural connectivity. We define connectivity as a continuous kernel on the product space of the cortex, and develop a method for estimating this kernel from tractography fiber models. Next, we formulate the kernel registration problem, and present a means to non-linearly register two brains' continuous connectivity profiles. We apply theoretical results from operator theory to develop an algorithm for decomposing the connectome into its shared and individual components. Lastly, we extend two discrete connectivity measures to the continuous case, and apply our framework to 98 Alzheimer's patients and controls. Our measures show significant differences between the two groups.
authors.forename: Boris
authors.initials: B
authors.lastname: Gutman
authors.forename: Cassandra
authors.initials: C
authors.lastname: Leonardo
authors.forename: Neda
authors.initials: N
authors.lastname: Jahanshad
authors.forename: Derrek
authors.initials: D
authors.lastname: Hibar
authors.forename: Kristian
authors.initials: K
authors.lastname: Eschenburg
authors.forename: Talia
authors.initials: T
authors.lastname: Nir
authors.forename: Julio
authors.initials: J
authors.lastname: Villalon
authors.forename: Paul
authors.initials: P
authors.lastname: Thompson
mesh_terms: D000544:Alzheimer Disease / Q000473:pathology*; D001921:Brain / Q000473:pathology*; D063132:Connectome / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D009415:Nerve Net / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique