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000280925 020__ $$a978-3-319-66178-0 (print)
000280925 020__ $$a978-3-319-66179-7 (electronic)
000280925 0247_ $$2doi$$a10.1007/978-3-319-66179-7_4
000280925 0247_ $$2ISSN$$a0302-9743
000280925 0247_ $$2ISSN$$a1611-3349
000280925 037__ $$aDZNE-2025-01008
000280925 1001_ $$00000-0002-8191-2129$$aDescoteaux, Maxime$$b0$$eEditor
000280925 1112_ $$aMedical Image Computing and Computer Assisted Intervention$$cQuebec City$$d2017-09-11 - 2017-09-13$$gMICCAI 2017$$wCanada
000280925 245__ $$aLatent Processes Governing Neuroanatomical Change in Aging and Dementia
000280925 260__ $$aCham$$bSpringer International Publishing$$c2017
000280925 29510 $$aMedical Image Computing and Computer Assisted Intervention − MICCAI 2017 / Descoteaux, Maxime (Editor) [https://orcid.org/0000-0002-8191-2129] ; Cham : Springer International Publishing, 2017, Chapter 4 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-66178-0=978-3-319-66179-7 ; doi:10.1007/978-3-319-66179-7
000280925 300__ $$a30 - 37
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000280925 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1758102016_31850
000280925 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000280925 4900_ $$aLecture Notes in Computer Science$$v10435
000280925 520__ $$aClinically normal aging and pathological processes cause structural changes in the brain. These changes likely occur in overlapping regions that accommodate neural systems with high susceptibility to deleterious factors. Due to the overlap, the separation between aging and pathological processes is challenging when analyzing brain structures independently. We propose to identify multivariate latent processes that govern cross-sectional and longitudinal neuroanatomical changes across the brain in aging and dementia. A discriminative representation of neuroanatomy is obtained from spectral shape descriptors in the BrainPrint. We identify latent factors by maximizing the covariance between morphological change and response variables of age and a proxy for dementia. Our results reveal cross-sectional and longitudinal patterns of change in neuroanatomy that distinguishes aging processes from disease processes. Finally, latent processes do not only yield a parsimonious model but also a significantly improved prediction accuracy.
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000280925 7001_ $$aMaier-Hein, Lena$$b1$$eEditor
000280925 7001_ $$aFranz, Alfred$$b2$$eEditor
000280925 7001_ $$00000-0002-7415-071X$$aJannin, Pierre$$b3$$eEditor
000280925 7001_ $$aCollins, D. Louis$$b4$$eEditor
000280925 7001_ $$aDuchesne, Simon$$b5$$eEditor
000280925 7001_ $$aWachinger, Christian$$b6
000280925 7001_ $$aRieckmann, Anna$$b7
000280925 7001_ $$0P:(DE-2719)2812134$$aReuter, Martin$$b8$$eLast author$$udzne
000280925 773__ $$a10.1007/978-3-319-66179-7_4
000280925 8564_ $$uhttps://pub.dzne.de/record/280925/files/DZNE-2025-01008.pdf
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000280925 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2812134$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b8$$kDZNE
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000280925 9201_ $$0I:(DE-2719)1040310$$kAG Reuter$$lArtificial Intelligence in Medicine$$x0
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