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@INPROCEEDINGS{Descoteaux:280925,
      author       = {Wachinger, Christian and Rieckmann, Anna and Reuter,
                      Martin},
      editor       = {Descoteaux, Maxime and Maier-Hein, Lena and Franz, Alfred
                      and Jannin, Pierre and Collins, D. Louis and Duchesne,
                      Simon},
      title        = {{L}atent {P}rocesses {G}overning {N}euroanatomical {C}hange
                      in {A}ging and {D}ementia},
      volume       = {10435},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {DZNE-2025-01008},
      isbn         = {978-3-319-66178-0 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {30 - 37},
      year         = {2017},
      comment      = {Medical Image Computing and Computer Assisted Intervention
                      − MICCAI 2017 / Descoteaux, Maxime (Editor)
                      [https://orcid.org/0000-0002-8191-2129] ; Cham : Springer
                      International Publishing, 2017, Chapter 4 ; ISSN:
                      0302-9743=1611-3349 ; ISBN:
                      978-3-319-66178-0=978-3-319-66179-7 ;
                      doi:10.1007/978-3-319-66179-7},
      booktitle     = {Medical Image Computing and Computer
                       Assisted Intervention − MICCAI 2017 /
                       Descoteaux, Maxime (Editor)
                       [https://orcid.org/0000-0002-8191-2129]
                       ; Cham : Springer International
                       Publishing, 2017, Chapter 4 ; ISSN:
                       0302-9743=1611-3349 ; ISBN:
                       978-3-319-66178-0=978-3-319-66179-7 ;
                       doi:10.1007/978-3-319-66179-7},
      abstract     = {Clinically normal aging and pathological processes cause
                      structural changes in the brain. These changes likely occur
                      in overlapping regions that accommodate neural systems with
                      high susceptibility to deleterious factors. Due to the
                      overlap, the separation between aging and pathological
                      processes is challenging when analyzing brain structures
                      independently. We propose to identify multivariate latent
                      processes that govern cross-sectional and longitudinal
                      neuroanatomical changes across the brain in aging and
                      dementia. A discriminative representation of neuroanatomy is
                      obtained from spectral shape descriptors in the BrainPrint.
                      We identify latent factors by maximizing the covariance
                      between morphological change and response variables of age
                      and a proxy for dementia. Our results reveal cross-sectional
                      and longitudinal patterns of change in neuroanatomy that
                      distinguishes aging processes from disease processes.
                      Finally, latent processes do not only yield a parsimonious
                      model but also a significantly improved prediction
                      accuracy.},
      month         = {Sep},
      date          = {2017-09-11},
      organization  = {Medical Image Computing and Computer
                       Assisted Intervention, Quebec City
                       (Canada), 11 Sep 2017 - 13 Sep 2017},
      cin          = {AG Reuter},
      cid          = {I:(DE-2719)1040310},
      pnm          = {899 - ohne Topic (POF4-899)},
      pid          = {G:(DE-HGF)POF4-899},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-319-66179-7_4},
      url          = {https://pub.dzne.de/record/280925},
}