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@ARTICLE{Beaudet:877320,
author = {Beaudet, Grégory and Tsuchida, Ami and Petit, Laurent and
Tzourio, Christophe and Caspers, Svenja and Schreiber, Jan
and Pausova, Zdenka and Patel, Yash and Paus, Tomas and
Schmidt, Reinhold and Pirpamer, Lukas and Sachdev, Perminder
S. and Brodaty, Henry and Kochan, Nicole and Trollor, Julian
and Wen, Wei and Armstrong, Nicola J. and Deary, Ian J. and
Bastin, Mark E. and Wardlaw, Joanna M. and Munõz Maniega,
Susana and Witte, A. Veronica and Villringer, Arno and
Duering, Marco and Debette, Stéphanie and Mazoyer, Bernard},
title = {{A}ge-related changes of {P}eak {W}idth {S}keletonized
{M}ean {D}iffusivity ({PSMD}) {A}cross the adult lifespan:
{A} multi-cohort study},
journal = {Frontiers in psychiatry},
volume = {11},
issn = {1664-0640},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2020-02136},
pages = {342},
year = {2020},
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.},
cin = {INM-1},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / HBP SGA2 -
Human Brain Project Specific Grant Agreement 2 (785907)},
pid = {G:(DE-HGF)POF3-571 / G:(EU-Grant)785907},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32425831},
UT = {WOS:000536353400001},
doi = {10.3389/fpsyt.2020.00342},
url = {https://juser.fz-juelich.de/record/877320},
}