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  Age-related changes of peak width skeletonized mean diffusivity (PSMD) across the adult lifespan: A multi-cohort study

Beaudet, G., Tsuchida, A., Petit, L., Tzourio, C., Caspers, S., Schreiber, J., et al. (2020). Age-related changes of peak width skeletonized mean diffusivity (PSMD) across the adult lifespan: A multi-cohort study. Frontiers in Psychiatry, 11: 342. doi:10.3389/fpsyt.2020.00342.

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Beaudet, Grégory1, 2, Author
Tsuchida, Ami1, 2, Author
Petit, Laurent1, 2, Author
Tzourio, Christophe3, Author
Caspers, Svenja4, 5, Author
Schreiber, Jan4, Author
Pausova, Zdenka6, 7, Author
Patel, Yash6, 7, Author
Paus, Tomas8, 9, Author
Schmidt, Reinhold10, Author
Pirpamer, Lukas10, Author
Sachdev, Perminder S.11, 12, Author
Brodaty, Henry11, 12, Author
Kochan, Nicole11, 12, Author
Trollor, Julian11, 12, Author
Wen, Wei11, 12, Author
Armstrong, Nicola J.13, Author
Deary, Ian J.14, Author
Bastin, Mark E.14, 15, Author
Witte, A. Veronica16, Author              
Wardlaw, Joanna M.14, 15, AuthorManiega, Susana Munos14, 15, AuthorVillringer, Arno16, Author              Duering, Marco17, AuthorDebette, Stéphanie2, 3, 18, AuthorMazoyer, Bernard1, 2, Author more..
1Institute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France, ou_persistent22              
2Institute of Neurodegenerative Diseases (IMN), University of Bordeaux, France, ou_persistent22              
3Bordeaux Population Health Research Center, France, ou_persistent22              
4Institute of Neuroscience and Medicine, Research Center Jülich, Germany, ou_persistent22              
5Institute for Anatomy I, Medical Faculty, Heinrich Heine University Düsseldorf, Germany, ou_persistent22              
6The Hospital for Sick Children, University of Toronto, ON, Canada, ou_persistent22              
7Department of Nutritional Sciences, University of Toronto, ON, Canada, ou_persistent22              
8Bloorview Research Institute, Toronto, ON, Canada, ou_persistent22              
9Department of Psychiatry, University Health Network, University of Toronto, ON, Canada, ou_persistent22              
10Department of Neurology, Medical University of Graz, Austria, ou_persistent22              
11School of Psychiatry, Centre for Healthy Brain Ageing (CHeBA), University of New South Wales, Sydney, Australia, ou_persistent22              
12Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia, ou_persistent22              
13Mathematics and Statistics, Murdoch University, Perth, Australia, ou_persistent22              
14Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, United Kingdom, ou_persistent22              
15Brain Research Imaging Centre, University of Edinburgh, United Kingdom, ou_persistent22              
16Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
17Institute for Stroke and Dementia Research (ISD), Ludwig Maximilians University Munich, Germany, ou_persistent22              
18Department of Neurology, University Hospital of Bordeaux, France, ou_persistent22              


Free keywords: MRI; PSMD; Ageing; Diffusion; Neurodegeneration; White matter
 Abstract: 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.


Language(s): eng - English
 Dates: 2020-01-062020-04-062020-05-04
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.3389/fpsyt.2020.00342
Other: eCollection 2020
PMID: 32425831
PMC: PMC7212692
 Degree: -



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Title: Frontiers in Psychiatry
  Abbreviation : Front Psychiatry
Source Genre: Journal
Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 11 Sequence Number: 342 Start / End Page: - Identifier: ISSN: 1664-0640
CoNE: https://pure.mpg.de/cone/journals/resource/16640640