Evolution of white matter tract microstructure across the life span

Slater, David A.; Melie‐Garcia, Lester; Preisig, Martin; Kherif , Ferath; Lutti,  Antoine; Draganski, Bogdan

doi:10.1002/hbm.24522

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Evolution of white matter tract microstructure across the life span

Slater, D. A., Melie‐Garcia, L., Preisig, M., Kherif, F., Lutti, A., & Draganski, B. (2019). Evolution of white matter tract microstructure across the life span. Human Brain Mapping, 40(7), 2252-2268. doi:10.1002/hbm.24522.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-EF3B-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-962C-3

Genre: Journal Article

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Creators:
Slater, David A. ¹, Author
Melie‐Garcia, Lester ¹, Author
Preisig, Martin ², Author
Kherif , Ferath ¹, Author
Lutti, Antoine¹, Author
Draganski, Bogdan^{1, 3}, Author

Affiliations:
1Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22
2Department of Psychiatry, 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; Degeneration; Development; Intracellular volume fraction (ICVF); Iron; Life span; Longitudinal (R1) and transverse (R2*); Relaxation rates; Mean diffusivity (MD); MRI; Myelin; Quantitative magnetic resonance imaging (qMRI); Tractography; White matter

Abstract: The human brain undergoes dramatic structural change over the life span. In a large imaging cohort of 801 individuals aged 7–84 years, we applied quantitative relaxometry and diffusion microstructure imaging in combination with diffusion tractography to investigate tissue property dynamics across the human life span. Significant nonlinear aging effects were consistently observed across tracts and tissue measures. The age at which white matter (WM) fascicles attain peak maturation varies substantially across tissue measurements and tracts. These observations of heterochronicity and spatial heterogeneity of tract maturation highlight the importance of using multiple tissue measurements to investigate each region of the WM. Our data further provide additional quantitative evidence in support of the last‐in‐first‐out retrogenesis hypothesis of aging, demonstrating a strong correlational relationship between peak maturational timing and the extent of quadratic measurement differences across the life span for the most myelin sensitive measures. These findings present an important baseline from which to assess divergence from normative aging trends in developmental and degenerative disorders, and to further investigate the mechanisms connecting WM microstructure to cognition.

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Language(s): eng - English

Dates: Modified: 2018-12-28Submitted: 2018-07-05Accepted: 2019-01-02Published Online: 2019-01-23Date issued: 2019-05

Publication Status: Issued

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Rev. Type: Peer

Identifiers: DOI: 10.1002/hbm.24522
PMID: 30673158
Other: Epub ahead of print

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Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1

Grant ID : 720270

Funding program : Horizon 2020

Funding organization : European Commission (EC)

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Funding organization : GlaxoSmithKline

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Funding organization : Faculty of Biology and Medicine, University of Lausanne

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Grant ID : 3200B0–105993

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