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

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).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0023-E6F1-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-9E7F-F
Genre: Conference Paper

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 Creators:
Kim, Seung-Goo1, Author              
Stelzer, Johannes2, Author              
Bazin, Pierre-Louis2, 3, Author              
Viehweger, Adrian4, Author
Knösche, Thomas R.1, Author              
Affiliations:
1Methods and Development Group MEG and EEG - Cortical Networks and Cognitive Functions, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205650              
2Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              
4External Organizations, ou_persistent22              

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Free keywords: Myelination profile; Heschl's gyrus; Group-level analysis; Laplace-Beltrami eigenvector
 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.

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Language(s): eng - English
 Dates: 2014-04-29
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1109/ISBI.2014.6868043
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Title: The 11th IEEE International Symposium on Biomedical Imaging (ISBI)
Place of Event: Beijing, China
Start-/End Date: 2014-04-29 - 2014-05-02

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Title: Proceedings of the 11th IEEE International Symposium on Biomedical Imaging (ISBI)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1007 - 1010 Identifier: -