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A construction of an averaged representation of human cortical gyri using non-linear principal component analysis

MPS-Authors
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Lohmann,  Gabriele
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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von Cramon,  D. Yves
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Lohmann Poster 10-05.pdf
(Any fulltext), 539KB

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Citation

Lohmann, G., von Cramon, D. Y., & Colchester, A. C. F. (2005). A construction of an averaged representation of human cortical gyri using non-linear principal component analysis. Poster presented at MICCAI Conference, Palm Springs, CA, USA.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-99C5-E
Abstract
The model represents even quite subtle features of the cortical folding: for example, inter-hemispheric differences around the planum temporale are preserved. By comparing different strata of depth within the model, it is evident that the cortical gyri generally become smoother and less convoluted with depth. However, this appears not to hold for the precentral gyrus. The model also highlights areas of hight inter-individual variability such as the anterior part of the middle frontal gyrus. In additon to allowing study of gyral variability across individuals and between hemispheres, the representation provides a framework which can be used for future work on non-rigid registration.