Age-Related Changes of Peak Width Skeletonized Mean Diffusivity (PSMD) Across the Adult Lifespan: A Multi-Cohort Study
Front. Psychiatry. 2020-05-04; 11:
DOI: 10.3389/fpsyt.2020.00342
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Beaudet G(1)(2), Tsuchida A(1)(2), Petit L(1)(2), Tzourio C(3), Caspers S(4)(5), Schreiber J(4), Pausova Z(6)(7), Patel Y(6)(7), Paus T(8)(9), Schmidt R(10), Pirpamer L(10), Sachdev PS(11)(12), Brodaty H(11)(12), Kochan N(11)(12), Trollor J(11)(12), Wen W(11)(12), Armstrong NJ(13), Deary IJ(14), Bastin ME(14)(15), Wardlaw JM(14)(15), Munõz Maniega S(14)(15), Witte AV(16), Villringer A(16), Duering M(17), Debette S(2)(3)(18), Mazoyer B(1)(2).
Author information:
(1)Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.
(2)Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France.
(3)Bordeaux Population Health Research Center, Inserm, Bordeaux, France.
(4)Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany.
(5)Institute for Anatomy I, Medical Faculty, Heinrich Heine University Dusseldorf, Dusseldorf, Germany.
(6)Research Institute, The Hospital for Sick Children, Toronto, ON, Canada.
(7)Department of Physiology and Nutritional Sciences, University of Toronto, Toronto, ON, Canada.
(8)Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
(9)Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, Canada.
(10)Department of Neurology, Medical University of Graz, Graz, Austria.
(11)Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.
(12)Neuropsychiatric Institute, Neuropsychiatric Institute Prince of Wales Hospital, Randwick, NSW, Australia.
(13)Mathematics and Statistics, Murdoch University, Perth, WA, Australia.
(14)Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
(15)Brain Research Imaging Centre, Neuroimaging Sciences, The University of Edinburgh, Edinburgh, United Kingdom.
(16)Departmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
(17)Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
(18)Department of Neurology, Bordeaux University Hospital, Bordeaux, France.
Parameters of water diffusion in white matter derived from diffusion-weighted
imaging (DWI), such as fractional anisotropy (FA), mean, axial, and radial
diffusivity (MD, AD, and RD), and more recently, peak width of skeletonized mean
diffusivity (PSMD), have been proposed as potential markers of normal and
pathological brain ageing. However, their relative evolution over the entire
adult lifespan in healthy individuals remains partly unknown during early and
late adulthood, and particularly for the PSMD index. Here, we gathered and
analyzed cross-sectional diffusion tensor imaging (DTI) data from 10
population-based cohort studies in order to establish the time course of white
matter water diffusion phenotypes from post-adolescence to late adulthood. DTI
data were obtained from a total of 20,005 individuals aged 18.1 to 92.6 years
and analyzed with the same pipeline for computing skeletonized DTI metrics from
DTI maps. For each individual, MD, AD, RD, and FA mean values were computed over
their FA volume skeleton, PSMD being calculated as the 90% peak width of the MD
values distribution across the FA skeleton. Mean values of each DTI metric were
found to strongly vary across cohorts, most likely due to major differences in
DWI acquisition protocols as well as pre-processing and DTI model fitting.
However, age effects on each DTI metric were found to be highly consistent
across cohorts. RD, MD, and AD variations with age exhibited the same U-shape
pattern, first slowly decreasing during post-adolescence until the age of 30,
40, and 50 years, respectively, then progressively increasing until late life.
FA showed a reverse profile, initially increasing then continuously decreasing,
slowly until the 70s, then sharply declining thereafter. By contrast, PSMD
constantly increased, first slowly until the 60s, then more sharply. These
results demonstrate that, in the general population, age affects PSMD in a
manner different from that of other DTI metrics. The constant increase in PSMD
throughout the entire adult life, including during post-adolescence, indicates
that PSMD could be an early marker of the ageing process.
Copyright © 2020 Beaudet, Tsuchida, Petit, Tzourio, Caspers, Schreiber, Pausova, Patel, Paus, Schmidt, Pirpamer, Sachdev, Brodaty, Kochan, Trollor, Wen, Armstrong, Deary, Bastin, Wardlaw, Munõz Maniega, Witte, Villringer, Duering, Debette and Mazoyer.