Longitudinal Changes in White Matter Disease and Cognition in the First Year of the Alzheimer Disease Neuroimaging Initiative

被引:190
|
作者
Carmichael, Owen [1 ]
Schwarz, Christopher [1 ]
Drucker, David [1 ]
Fletcher, Evan [1 ]
Harvey, Danielle [2 ]
Beckett, Laurel [2 ]
Jack, Clifford R. [3 ]
Weiner, Michael [4 ,5 ,6 ]
DeCarli, Charles [1 ]
机构
[1] Univ Calif Davis, Dept Neurol, Davis, CA 95616 USA
[2] Univ Calif Davis, Dept Publ Hlth Sci, Sch Med, Davis, CA 95616 USA
[3] Mayo Clin, Dept Radiol, Rochester, MN 55905 USA
[4] Univ Calif San Francisco, Dept Med, San Francisco, CA USA
[5] Univ Calif San Francisco, Dept Radiol, San Francisco, CA 94143 USA
[6] Univ Calif San Francisco, Dept Psychiat, San Francisco, CA 94143 USA
基金
美国国家卫生研究院;
关键词
HYPERINTENSITY VOLUME; CARDIOVASCULAR HEALTH; OLDER PERSONS; RISK-FACTORS; PROGRESSION; DECLINE; LESIONS; IMPAIRMENT; PREDICTORS; ADNI;
D O I
10.1001/archneurol.2010.284
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: To evaluate relationships between magnetic resonance imaging (MRI)-based measures of white matter hyperintensities (WMHs), measured at baseline and longitudinally, and 1-year cognitive decline using a large convenience sample in a clinical trial design with a relatively mild profile of cardiovascular risk factors. Design: Convenience sample in a clinical trial design. Subjects: A total of 804 participants in the Alzheimer Disease Neuroimaging Initiative who received MRI scans, cognitive testing, and clinical evaluations at baseline, 6-month follow-up, and 12-month follow-up visits. For each scan, WMHs were detected automatically on coregistered sets of T1, proton density, and T2 MRI images using a validated method. Mixed-effects regression models evaluated relationships between risk factors for WMHs, WMHvolume, and change in outcome measures including Mini-Mental State Examination (MMSE), Alzheimer Disease Assessment Scale-Cognitive Subscale (ADAS-Cog), and Clinical Dementia Rating Scale sum of boxes scores. Covariates in these models included race, sex, years of education, age, apolipoprotein E genotype, baseline clinical diagnosis (cognitively normal, mild cognitive impairment, or Alzheimer disease), cardiovascular risk score, and MRI-based hippocampal and brain volumes. Results: Higher baseline WMH volume was associated with greater subsequent 1-year increase in ADAS-Cog and decrease in MMSE scores. Greater WMH volume at follow-up was associated with greater ADAS-Cog and lower MMSE scores at follow-up. Higher baseline age and cardiovascular risk score and more impaired baseline clinical diagnosis were associated with higher baseline WMH volume. Conclusions: White matter hyperintensity volume predicts 1-year cognitive decline in a relatively healthy convenience sample that was similar to clinical trial samples, and therefore should be considered as a covariate of interest at baseline and longitudinally in future AD treatment trials.
引用
收藏
页码:1370 / 1378
页数:9
相关论文
共 50 条
  • [1] Longitudinal Changes in Cognition and Cerebrovascular Disease in the Alzheimer's Disease Neuroimaging Initiative
    Carmichael, Owen
    Drucker, David
    Schwarz, Christopher
    Fletcher, Evan
    Martinez, Oliver
    Yoshita, Mitsuhiro
    He, Jing
    DeCarli, Charles
    NEUROLOGY, 2009, 72 (11) : A171 - A171
  • [2] Longitudinal changes in microstructural white matter metrics in Alzheimer's disease
    Mayo, Chantel D.
    Mazerolle, Erin L.
    Ritchie, Lesley
    Fisk, John D.
    Gawryluk, Jodie R.
    NEUROIMAGE-CLINICAL, 2017, 13 : 330 - 338
  • [3] Presumed small vessel disease, imaging and cognition markers in the Alzheimer's Disease Neuroimaging Initiative
    Fiford, Cassidy M.
    Sudre, Carole H.
    Young, Alexandra L.
    Macdougall, Amy
    Nicholas, Jennifer
    Manning, Emily N.
    Malone, Ian B.
    Walsh, Phoebe
    Goodkin, Olivia
    Pemberton, Hugh G.
    Barkhof, Frederik
    Alexander, Daniel C.
    Cardoso, M. Jorge
    Biessels, Geert Jan
    Barnes, Josephine
    BRAIN COMMUNICATIONS, 2021, 3 (04)
  • [4] The Alzheimer's disease neuroimaging initiative
    Aisen, Paul S.
    BMC MEDICINE, 2011, 9
  • [5] The Alzheimer's disease neuroimaging initiative
    Mueller, SG
    Weiner, MW
    Thal, LJ
    Petersen, RC
    Jack, C
    Jagust, W
    Trojanowski, JQ
    Toga, AW
    Beckett, L
    NEUROIMAGING CLINICS OF NORTH AMERICA, 2005, 15 (04) : 869 - +
  • [6] Alzheimer's disease neuroimaging initiative
    Mueller, Susanne G.
    Weiner, Michael W.
    Thal, Leon J.
    Petersen, Ronald C.
    Jack, Clifford
    Jagust, William
    Trojanowski, John Q.
    Toga, Arthur W.
    Beckett, Laurel
    ADVANCES IN ALZHEIMER'S AND PARKINSON'S DISEASE: INSIGHTS, PROGRESS, AND PERSPECTIVES, 2008, 57 : 183 - 189
  • [7] Longitudinal Grey and White Matter Changes in Frontotemporal Dementia and Alzheimer's Disease
    Frings, Lars
    Yew, Belinda
    Flanagan, Emma
    Lam, Bonnie Y. K.
    Huell, Michael
    Huppertz, Hans-Juergen
    Hodges, John R.
    Hornberger, Michael
    PLOS ONE, 2014, 9 (03):
  • [8] Gray and White Matter Atrophy in Alzheimer's Disease: A Comparative Study Using Subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI)
    Nikelski, Jim
    Chertkow, Howard
    Evans, Alan
    NEUROLOGY, 2009, 72 (11) : A92 - A92
  • [9] Age-related white matter changes and cognition in early stage Alzheimer disease
    Burns, JM
    Church, J
    Johnson, D
    Xiong, CJ
    Marcus, D
    Fotenos, A
    Snyder, AZ
    Morris, JC
    Buckner, RL
    NEUROLOGY, 2004, 62 (07) : A239 - A239
  • [10] Improved Prediction of Alzheimer's Disease with Longitudinal White Matter/Gray Matter Contrast Changes
    Grydeland, Hakon
    Westlye, Lars T.
    Walhovd, Kristine B.
    Fjell, Anders M.
    HUMAN BRAIN MAPPING, 2013, 34 (11) : 2775 - 2785