Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan.
Vértes, Petra E
Alexander-Bloch, Aaron F
Patel, Ameera X
Tamnes, Christian K
Westlye, Lars T
White, Simon R
Walhovd, Kristine B
Fjell, Anders M
Bullmore, Edward T
Oxford University Press (OUP)
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Grydeland, H., Vértes, P. E., Váša, F., Romero-Garcia, R., Whitaker, K., Alexander-Bloch, A. F., Bjørnerud, A., et al. (2019). Waves of Maturation and Senescence in Micro-structural MRI Markers of Human Cortical Myelination over the Lifespan.. Cereb Cortex, 29 (3), 1369-1381. https://doi.org/10.1093/cercor/bhy330
Seminal human brain histology work has demonstrated developmental waves of myelination. Here, using a micro-structural magnetic resonance imaging (MRI) marker linked to myelin, we studied fine-grained age differences to deduce waves of growth, stability, and decline of cortical myelination over the life-cycle. In 484 participants, aged 8-85 years, we fitted smooth growth curves to T1- to T2-weighted ratio in each of 360 regions from one of seven cytoarchitectonic classes. From the first derivatives of these generally inverted-U trajectories, we defined three milestones: the age at peak growth; the age at onset of a stable plateau; and the age at the onset of decline. Age at peak growth had a bimodal distribution comprising an early (pre-pubertal) wave of primary sensory and motor cortices and a later (post-pubertal) wave of association, insular and limbic cortices. Most regions reached stability in the 30-s but there was a second wave reaching stability in the 50-s. Age at onset of decline was also bimodal: in some right hemisphere regions, the curve declined from the 60-s, but in other left hemisphere regions, there was no significant decline from the stable plateau. These results are consistent with regionally heterogeneous waves of intracortical myelinogenesis and age-related demyelination.
Cerebral Cortex, Myelin Sheath, Humans, Magnetic Resonance Imaging, Longevity, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Female, Male, Young Adult, Connectome
This work was supported by the Department of Psychology, University of Oslo (to K.B.W., A.M.F.); the Norwegian Research Council (to K.B.W., A.M.F.); and the European Research Council’s Starting/Consolidator Grant schemes (grant agreements 283634, 725025 (to A.M.F.) and 313440 (to K.B.W.)). P.E.V. was supported by the Medical Research Council (grant number MR/K020706/1) and is a Fellow of MQ: Transforming Mental Health (grant number MQF17_24). F.V. was supported by the Gates Cambridge Trust. K.W. is supported by a research fellowship at the Alan Turing Institute under the EPSRC (grant EP/N510129/1). S.R.W. was supported by the Medical Research Council, UK (Unit Programme number U105292687). This work was supported by the NIHR Cambridge Biomedical Research Centre.
Cambridge University Hospitals NHS Foundation Trust (CUH) (unknown)
MQ: Transforming Mental Health (MQ17-24 Vertes)
Medical Research Council (MR/K020706/1)
External DOI: https://doi.org/10.1093/cercor/bhy330
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287608
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/