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  A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI

Dinse, J., Härtwich, N., Wähnert, M., Tardif, C., Schäfer, A., Geyer, S., et al. (2015). A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI. NeuroImage, 114, 71-87. doi:10.1016/j.neuroimage.2015.04.023.

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 Creators:
Dinse, Juliane1, Author           
Härtwich, Nina2, Author
Wähnert, Miriam2, Author           
Tardif, Christine1, Author           
Schäfer, Andreas2, Author           
Geyer, Stefan2, Author           
Preim, Bernhard3, Author
Turner, Robert4, Author           
Bazin, Pierre-Louis1, 2, Author           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              
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 Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634550              

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Free keywords: Cytoarchitecture; Myeloarchitecture; Cortical areas; Cortical profiles; Modelling ultra-high resolution; Quantitative MRI
 Abstract: This work presents a novel approach for modelling laminar myelin patterns in the human cortex in brain MR images on the basis of known cytoarchitecture. For the first time, it is possible to estimate intracortical contrast visible in quantitative ultra-high resolution MR images in specific primary and secondary cytoarchitectonic areas. The presented technique reveals different area-specific signatures which may help to study the spatial distribution of cortical T1 values and the distribution of cortical myelin in general. It may lead to a new discussion on the concordance of cyto- and myeloarchitectonic boundaries, given the absence of such concordance atlases. The modelled myelin patterns are quantitatively compared with data from human ultra-high resolution in-vivo 7 Tesla brain MR images (9 subjects). In the validation, the results are compared to one post-mortem brain sample and its ex-vivo MRI and histological data. Details of the analysis pipeline are provided. In the context of the increasing interest in advanced methods in brain segmentation and cortical architectural studies, the presented model helps to bridge the gap between the microanatomy revealed by classical histology and the macroanatomy visible in MRI.

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Language(s): eng - English
 Dates: 2014-07-092015-04-092015-04-182015-07-01
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2015.04.023
PMID: 25896931
Other: Epub 2015
 Degree: -

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 114 Sequence Number: - Start / End Page: 71 - 87 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166