In this paper, we present a systematic investigation of the variability of the human cortical folding using a generic gyral model (GGM). The GGM consists of a fixed number of vertices that can be registered non-linearly to an individual anatomy so that for each individual we have a clearly defined set of landmarks that is spread across the cortex. This allows us to obtain a regionalized estimation of inter-subject variability. Since the GGM is stratified into different levels of depth, it also allows us to estimate variability as a function of depth. As another application of a polygonal line representation underlying the generic gyral model, we present a cortical parcellation scheme that can be used to regionalize cortical measurements. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Lohmann, G., Von Cramon, D. Y., & Colchester, A. C. F. (2006). Investigating cortical variability using a generic gyral model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4191 LNCS-II, pp. 109–116). Springer Verlag. https://doi.org/10.1007/11866763_14
Mendeley helps you to discover research relevant for your work.