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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},
}