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  A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI

Wähnert, M., Dinse, J., Schäfer, A., Geyer, S., Bazin, P.-L., Turner, R., et al. (2016). A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI. NeuroImage, 125, 94-107. doi:10.1016/j.neuroimage.2015.10.001.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-AB96-D Version Permalink: http://hdl.handle.net/21.11116/0000-0003-19D2-4
Genre: Journal Article

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 Creators:
Wähnert, Miriam1, Author              
Dinse, Juliane2, 3, Author              
Schäfer, Andreas2, Author              
Geyer, Stefan2, Author              
Bazin, Pierre-Louis2, 4, Author              
Turner, Robert1, Author              
Tardif, Christine4, Author              
Affiliations:
1Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205649              
3Faculty of Computer Science, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
4Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              

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Free keywords: Intracortical structure; High resolution MRI; Cortical profile; Cortical surface; Brain mapping; Myeloarchitecture
 Abstract: Structural magnetic resonance imaging can now resolve laminar features within the cerebral cortex in vivo. A variety of intracortical contrasts have been used to study the cortical myeloarchitecture with the purpose of mapping cortical areas in individual subjects. In this article, we first briefly review recent advances in MRI analysis of cortical microstructure to portray the potential and limitations of the current state-of-the-art. We then present an integrated framework for the analysis of intracortical structure, composed of novel image processing tools designed for high resolution cortical images. The main features of our framework are the segmentation of quantitative T1 maps to delineate the cortical boundaries [8], and the use of an equivolume layering model to define an intracortical coordinate system that follows the anatomical layers of the cortex [83]. We evaluate the framework with 150 isotropic post mortem T 2⁎-weighted images and 0.5 isotropic in vivo T1 maps, a quantitative index of myelin content. We study the laminar structure of the primary visual cortex (Brodmann area 17) in the post mortem and in vivo data, as well as the central sulcus region in vivo, in particular Brodmann areas 1, 3b and 4. We also investigate the impact of the layering models on the relationship between T1 and cortical curvature. Our experiments demonstrate that the equivolume intracortical surfaces and transcortical profiles best reflect the laminar structure of the cortex in areas of curvature in comparison to the state-of-the-art equidistant and Laplace implementations. This framework generates a subject specific intracortical coordinate system, the basis for subsequent architectonic analyses of the cortex. Any structural or functional contrast co-registered to the T1 maps, used to segment the cortex, can be sampled on the curved grid for analysis. This work represents an important step towards in vivo structural brain mapping of individual subjects.

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Language(s): eng - English
 Dates: 2015-03-032015-10-012015-10-092016-01-15
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2015.10.001
PMID: 26455795
Other: Epub 2015
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Pages: - Volume / Issue: 125 Sequence Number: - Start / End Page: 94 - 107 Identifier: ISSN: 1053-8119
CoNE: /journals/resource/954922650166