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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},
}