Patterns of progressive atrophy vary with age in Alzheimer's disease patients

被引:33
作者
Fiford, Cassidy M. [1 ]
Ridgway, Gerard R. [2 ,3 ]
Cash, David M. [1 ,4 ]
Modat, Marc [1 ,4 ]
Nicholas, Jennifer [5 ]
Manning, Emily N. [1 ]
Malone, Ian B. [1 ]
Biessels, Geert Jan [6 ]
Ourselin, Sebastien [1 ,4 ]
Carmichael, Owen T. [7 ]
Cardoso, M. Jorge [1 ,4 ]
Barnes, Josephine [1 ]
机构
[1] UCL Inst Neurol, Dept Neurodegenerat Dis, Dementia Res Ctr, London, England
[2] Univ Oxford, Nuffield Dept Clin Neurosci, FMRIB Ctr, Oxford, England
[3] Wellcome Trust Ctr Neuroimaging, 12 Queen Sq, London, England
[4] UCL, Ctr Med Image Comp, Translat Imaging Grp, London, England
[5] London Sch Hyg & Trop Med, London, England
[6] Univ Med Ctr Utrecht, Brain Ctr Rudolf Magnus, Dept Neurol & Neurosurg, Utrecht, Netherlands
[7] Pennington Biomed Res Ctr, 6400 Perkins Rd, Baton Rouge, LA 70808 USA
基金
英国惠康基金; 英国医学研究理事会; 英国工程与自然科学研究理事会; 加拿大健康研究院; 欧盟第七框架计划; 美国国家卫生研究院;
关键词
Aging; Early-onset Alzheimer's disease; Alzheimer's disease; Atrophy; Late-onset; Mild cognitive impairment (MCI); Hippocampus; WHITE-MATTER HYPERINTENSITIES; BRAIN ATROPHY; EARLY-ONSET; IMAGING BIOMARKERS; DEFINED SUBTYPES; RISK-FACTORS; MRI; VOLUME; RATES; ADNI;
D O I
10.1016/j.neurobiolaging.2017.11.002
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Age is not only the greatest risk factor for Alzheimer's disease (AD) but also a key modifier of disease presentation and progression. Here, we investigate how longitudinal atrophy patterns vary with age in mild cognitive impairment (MCI) and AD. Data comprised serial longitudinal 1.5-T magnetic resonance imaging scans from 153 AD, 339 MCI, and 191 control subjects. Voxel-wise maps of longitudinal volume change were obtained and aligned across subjects. Local volume change was then modeled in terms of diagnostic group and an interaction between group and age, adjusted for total intracranial volume, white-matter hyperintensity volume, and apolipoprotein E genotype. Results were significant at p < 0.05 with family-wise error correction for multiple comparisons. An age-by-group interaction revealed that younger AD patients had significantly faster atrophy rates in the bilateral precuneus, parietal, and superior temporal lobes. These results suggest younger AD patients have predominantly posterior progressive atrophy, unexplained by white-matter hyperintensity, apolipoprotein E, or total intracranial volume. Clinical trials may benefit from adapting outcome measures for patient groups with lower average ages, to capture progressive atrophy in posterior cortices. (C) 2017 The Authors. Published by Elsevier Inc.
引用
收藏
页码:22 / 32
页数:11
相关论文
共 63 条
[1]   A fast diffeomorphic image registration algorithm [J].
Ashburner, John .
NEUROIMAGE, 2007, 38 (01) :95-113
[2]   Symmetric diffeomorphic modeling of longtudinal structural MRI [J].
Ashburner, John ;
Ridgway, Gerard R. .
FRONTIERS IN NEUROSCIENCE, 2013, 6
[3]   Difference in imaging biomarkers of neurodegeneration between early and late-onset amnestic Alzheimer's disease [J].
Aziz, Anne-Laure ;
Giusiano, Bernard ;
Joubert, Sven ;
Duprat, Laureline ;
Didic, Mira ;
Gueriot, Claude ;
Koric, Lejla ;
Boucraut, Jose ;
Felician, Olivier ;
Ranjeva, Jean-Philippe ;
Guedj, Eric ;
Ceccaldi, Mathieu .
NEUROBIOLOGY OF AGING, 2017, 54 :22-30
[4]   Alzheimer's disease first symptoms are age dependent: Evidence from the NACC dataset [J].
Barnes, Josephine ;
Dickerson, Bradford C. ;
Frost, Chris ;
Jiskoot, Lize C. ;
Wolk, David ;
van der Flier, Wiesje M. .
ALZHEIMERS & DEMENTIA, 2015, 11 (11) :1349-1357
[5]   Vascular and Alzheimer's disease markers independently predict brain atrophy rate in Alzheimer's Disease Neuroimaging Initiative controls [J].
Barnes, Josephine ;
Carmichael, Owen T. ;
Leung, Kelvin K. ;
Schwarz, Christopher ;
Ridgway, Gerard R. ;
Bartlett, Jonathan W. ;
Malone, Ian B. ;
Schott, Jonathan M. ;
Rossor, Martin N. ;
Biessels, Geert Jan ;
DeCarli, Charlie ;
Fox, Nick C. .
NEUROBIOLOGY OF AGING, 2013, 34 (08) :1996-2002
[6]   Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data [J].
Bernal-Rusiel, Jorge L. ;
Reuter, Martin ;
Greve, Douglas N. ;
Fischl, Bruce ;
Sabuncu, Mert R. .
NEUROIMAGE, 2013, 81 :358-370
[7]  
Breitner J. C. S., 1998, NAT GENET, V19, P321
[8]   Longitudinal Changes in White Matter Disease and Cognition in the First Year of the Alzheimer Disease Neuroimaging Initiative [J].
Carmichael, Owen ;
Schwarz, Christopher ;
Drucker, David ;
Fletcher, Evan ;
Harvey, Danielle ;
Beckett, Laurel ;
Jack, Clifford R. ;
Weiner, Michael ;
DeCarli, Charles .
ARCHIVES OF NEUROLOGY, 2010, 67 (11) :1370-1378
[9]   Longitudinal changes of cortical thickness in early- versus late-onset Alzheimer's disease [J].
Cho, Hanna ;
Jeon, Seun ;
Kang, Sue J. ;
Lee, Jong-Min ;
Lee, Jae-Hong ;
Kim, Geon Ha ;
Shin, Ji Soo ;
Kim, Chi Hun ;
Noh, Young ;
Im, Kiho ;
Kim, Sung Tae ;
Chin, Juhee ;
Seo, Sang Won ;
Na, Duk L. .
NEUROBIOLOGY OF AGING, 2013, 34 (07) :1921.e9-1921.e15
[10]   Changes in subcortical structures in early- versus late-onset Alzheimer's disease [J].
Cho, Hanna ;
Seo, Sang Won ;
Kim, Jeong-Hun ;
Kim, Changsoo ;
Ye, Byoung Seok ;
Kim, Geon Ha ;
Noh, Young ;
Kim, Hee Jin ;
Yoon, Cindy W. ;
Seong, Joon-Kyung ;
Kim, Chang-Hun ;
Kang, Sue J. ;
Chin, Juhee ;
Kim, Sung Tae ;
Lee, Kyung-Han ;
Na, Duk L. .
NEUROBIOLOGY OF AGING, 2013, 34 (07) :1740-1747