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  Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI

Boillat, Y., Bazin, P.-L., O'Brien, K., Fartaria, M. J., Bonnier, G., Krueger, G., et al. (2018). Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI. NeuroImage, 172, 1-8. doi:10.1016/j.neuroimage.2018.01.016.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-E8BC-7 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-9DAC-B
Genre: Journal Article

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 Creators:
Boillat, Yohan1, Author
Bazin, Pierre-Louis2, 3, Author           
O'Brien, Kieran4, 5, Author
Fartaria, Mário João6, 7, Author
Bonnier, Guillaume8, Author
Krueger, Gunnar9, Author
van der Zwaag, Wietske10, 11, Author
Granziera, Cristina8, 12, Author
Affiliations:
1Laboratory for Functional and Metabolic Imaging (LIFMET), Swiss Federal Institute of Technology, Lausanne, Switzerland, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634549              
4Siemens Healthcare Pty Ltd., Bowen Hills, Australia, ou_persistent22              
5Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, ou_persistent22              
6Department of Radiology, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
7Siemens Healthcare AG, Lausanne, Switzerland, ou_persistent22              
8Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, USA, ou_persistent22              
9Siemens Medical Solutions, Burlington, MA, USA, ou_persistent22              
10Center for Biomedical Imaging (CIBM), Swiss Federal Institute of Technology, Lausanne, Switzerland, ou_persistent22              
11Spinoza Centre for Neuroimaging, University of Amsterdam, the Netherlands, ou_persistent22              
12Service de Neurologie, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              

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Free keywords: Cerebellum; Ultra-high field; T1; T2*; Surface; Tissue content
 Abstract: Although having a relatively homogeneous cytoarchitectonic organization, the cerebellar cortex is a heterogeneous region characterized by different amounts of myelin, iron and protein expression profiles. In this study, we used quantitative T1 and T2* mapping at ultra-high field (7T) MRI to investigate the tissue characteristics of the cerebellar gray matter surface and its layers. Detailed subject-specific surfaces were generated at three different cortical depths and averaged across subjects to create averaged T1- and T2*-maps on the cerebellar surface. T1 surfaces showed an alternation of lower and higher T1 values when going from the median to the lateral part of the cerebellar hemispheres. In addition, longer T1 values were observed in the more superficial gray matter layers. T2*-maps showed a similar longitudinal pattern, but no change related to the cortical depths. These patterns are possibly due to variations in the level of myelination, iron and zebrin protein expression.

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Language(s): eng - English
 Dates: 2017-05-192018-01-072018-01-132018-05-15
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2018.01.016
PMID: 29339314
Other: Epub 2018
 Degree: -

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Funding program : -
Funding organization : Centre d'Imagerie BioMédicale
Project name : -
Grant ID : -
Funding program : -
Funding organization : Leenaards Foundation
Project name : -
Grant ID : 31003A_153070 ; 31003A_149983 ; PZ00P3_154508
Funding program : -
Funding organization : Swiss National Science Foundation

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Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 172 Sequence Number: - Start / End Page: 1 - 8 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166