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  Networks of myelin covariance

Melie-Garcia, L., Slater, D., Ruef, A., Sanabria-Diaz, G., Preisig, M., Kherif, F., et al. (2018). Networks of myelin covariance. Human Brain Mapping, 39(4), 1532-1554. doi:10.1002/hbm.23929.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-02E6-A Version Permalink: http://hdl.handle.net/21.11116/0000-0003-A49C-4
Genre: Journal Article

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 Creators:
Melie-Garcia, Lester1, Author
Slater, David1, Author
Ruef, Anne1, Author
Sanabria-Diaz, Gretel1, Author
Preisig, Martin2, Author
Kherif, Ferath1, Author
Draganski, Bogdan1, 3, Author              
Lutti, Antoine1, Author
Affiliations:
1Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
2Département de psychiatrie, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
3Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              

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Free keywords: Aging; Brain connectivity; Graph theory; Magnetization transfer; Myelin; Myelination; Precuneus; Quantitative MRI; Structural network
 Abstract: Networks of anatomical covariance have been widely used to study connectivity patterns in both normal and pathological brains based on the concurrent changes of morphometric measures (i.e., cortical thickness) between brain structures across subjects (Evans, 2013). However, the existence of networks of microstructural changes within brain tissue has been largely unexplored so far. In this article, we studied in vivo the concurrent myelination processes among brain anatomical structures that gathered together emerge to form nonrandom networks. We name these “networks of myelin covariance” (Myelin-Nets). The Myelin-Nets were built from quantitative Magnetization Transfer data—an in-vivo magnetic resonance imaging (MRI) marker of myelin content. The synchronicity of the variations in myelin content between anatomical regions was measured by computing the Pearson's correlation coefficient. We were especially interested in elucidating the effect of age on the topological organization of the Myelin-Nets. We therefore selected two age groups: Young-Age (20–31 years old) and Old-Age (60–71 years old) and a pool of participants from 48 to 87 years old for a Myelin-Nets aging trajectory study. We found that the topological organization of the Myelin-Nets is strongly shaped by aging processes. The global myelin correlation strength, between homologous regions and locally in different brain lobes, showed a significant dependence on age. Interestingly, we also showed that the aging process modulates the resilience of the Myelin-Nets to damage of principal network structures. In summary, this work sheds light on the organizational principles driving myelination and myelin degeneration in brain gray matter and how such patterns are modulated by aging.

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Language(s): eng - English
 Dates: 2017-12-022017-06-152017-12-112017-12-212018-04
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/hbm.23929
PMID: 29271053
PMC: PMC5873432
Other: Epub 2017
 Degree: -

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Project name : The Human Brain Project / HBP
Grant ID : 604102
Funding program : Funding Programme 7
Funding organization : European Commission
Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : 720270
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : -
Grant ID : -
Funding program : -
Funding organization : Roger de Spoelberch Foundation
Project name : NCCR Synapsy
Grant ID : 32003B_159780 ; SPUM 33CM30_140332/1
Funding program : -
Funding organization : Swiss National Science Foundation
Project name : -
Grant ID : -
Funding program : -
Funding organization : Foundation Parkinson Switzerland
Project name : -
Grant ID : -
Funding program : -
Funding organization : Foundation Synapsis
Project name : -
Grant ID : -
Funding program : -
Funding organization : GlaxoSmithKline
Project name : -
Grant ID : -
Funding program : -
Funding organization : Faculty of Biology and Medicine of University of Lausanne
Project name : -
Grant ID : 3200B0–105993 ; 3200B0‐118308 ; 33CSCO‐122661 ; 33CS30‐139468 ; 33CS30‐148401
Funding program : -
Funding organization : Swiss National Science Foundation
Project name : -
Grant ID : -
Funding program : -
Funding organization : Partridge Foundation

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 39 (4) Sequence Number: - Start / End Page: 1532 - 1554 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686