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Group-wise analysis on myelination profiles of cerebral cortex using the second eigenvector of Laplace-Beltrami operator

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Kim,  Seung-Goo
Methods and Development Group MEG and EEG - Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Stelzer,  Johannes
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Bazin,  Pierre-Louis
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Knösche,  Thomas R.
Methods and Development Group MEG and EEG - Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Kim, S.-G., Stelzer, J., Bazin, P.-L., Viehweger, A., & Knösche, T. R. (2014). Group-wise analysis on myelination profiles of cerebral cortex using the second eigenvector of Laplace-Beltrami operator. In Proceedings of the 11th IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 1007-1010).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0023-E6F1-0
Abstract
Myeloarchitecture of cerebral cortex has crucial implication on the function of cortical columnar modules. Based on the recent development of high-field magnetic resonance imaging (MRI), it was demonstrated that it is possible to individually reconstruct such intracortical microstructures. However, there is a scarcity of publicly available frameworks to perform group-wise statistical inferences on high resolution data. In this paper, we present a novel framework that parameterizes curved brain structures in order to construct correspondences across subjects without deforming individual geometry. We use the second Laplace-Beltrami eigenfunction to build such a parameterization, which is known to monotonically increase along the longest geodesic distance on an arbitrary manifold. To demonstrate our framework, a study on the lateralization of Heschl’s gyrus is presented with multiple comparison correction.