Networks of myelin covariance.

Details

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State: Public
Version: Final published version
Serval ID
serval:BIB_5937FD78EB29
Type
Article: article from journal or magazin.
Collection
Publications
Title
Networks of myelin covariance.
Journal
Human brain mapping
Author(s)
Melie-Garcia L., Slater D., Ruef A., Sanabria-Diaz G., Preisig M., Kherif F., Draganski B., Lutti A.
ISSN
1097-0193 (Electronic)
ISSN-L
1065-9471
Publication state
Published
Issued date
04/2018
Peer-reviewed
Oui
Volume
39
Number
4
Pages
1532-1554
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
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, ). 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.
Keywords
Adolescent, Adult, Aged, Aged, 80 and over, Aging, Brain/diagnostic imaging, Female, Gray Matter/diagnostic imaging, Humans, Image Processing, Computer-Assisted/methods, Magnetic Resonance Imaging, Male, Middle Aged, Multivariate Analysis, Myelin Sheath, Neural Pathways/diagnostic imaging, Young Adult, aging, brain connectivity, graph theory, magnetization transfer, myelin, myelination, precuneus, quantitative MRI, structural network
Pubmed
Web of science
Open Access
Yes
Create date
09/01/2018 16:55
Last modification date
20/08/2019 15:12
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