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Cited by 180Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Image Segmentation Techniques

Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition

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Leow, Alex D., Yanovsky, Igor, Parikshak, Neelroop, Hua, Xue, Lee, Suh, Toga, Arthur W., Jack, Clifford R., Bernstein, Matt A. +13 more·2009·NeuroImage
DOI 10.1016/j.neuroimage.2009.01.004PMC PMC2696624
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Abstract

Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. Here, we compared the anatomical distribution of longitudinal brain structural changes, over 12 months, using a subset of the ADNI dataset consisting of 20 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with mild cognitive impairment (MCI). Each individual longitudinal change map (Jacobian map) was created using an unbiased registration technique, and spatially normalized to a geometrically-centered average image based on healthy controls. Voxelwise statistical analyses revealed regional differences in atrophy rates, and these differences were correlated with clinical measures and biomarkers. Consistent with prior studies, we detected widespread cerebral atrophy in AD, and a more restricted atrophic pattern in MCI. In MCI, temporal lobe atrophy rates were correlated with changes in mini-mental state exam (MMSE) scores, clinical dementia rating (CDR), and logical/verbal learning memory scores. In AD, temporal atrophy rates were correlated with several biomarker indices, including a higher CSF level of p-tau protein, and a greater CSF tau/beta amyloid 1-42 (ABeta42) ratio. Temporal lobe atrophy was significantly faster in MCI subjects who converted to AD than in non-converters. Serial MRI scans can therefore be analyzed with nonlinear image registration to relate ongoing neurodegeneration to a variety of pathological biomarkers, cognitive changes, and conversion from MCI to AD, tracking disease progression in 3-dimensional detail.

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Authors
Leow, A. D., Yanovsky, I., Parikshak, N., Hua, X., Lee, S., Toga, A. W., Jack, C. R., Bernstein, M. A., Britson, P. J., Gunter, J. L., Ward, C. P., Borowski, B., Shaw, L. M., Trojanowski, J. Q., Fleisher, A. S., Harvey, D., Kornak, J., Schuff, N., Alexander, G. E., Weiner, M. W., & Thompson, P. M.
Affiliations
  • University of California, Los Angeles (US)
  • Mayo Clinic (US)
  • University of Pennsylvania (US)
  • University of California San Diego (US)
  • University of California, Davis (US)
  • University of California, San Francisco (US)
  • San Francisco VA Medical Center (US)
  • University of Arizona (US)
Corresponding author
Leow, Alex D.
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2009-04
Volume
45
Issue
3
Pages
645-655
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2009.01.004
PMC
PMC2696624
OpenAlex
W2029214174
Cited by
180
References
132
Citations by year
2026: 2 · 2025: 6 · 2024: 7 · 2023: 3 · 2022: 8 · 2021: 5 · 2020: 5 · 2019: 6 · 2018: 4 · 2017: 6 · 2016: 5 · 2015: 14 · 2014: 11 · 2013: 11 · 2012: 17
FWCI
17.73
Type
journal article
Language
en
Open access
Licence
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of Biomedical Imaging and Bioengineering
  • GlaxoSmithKline
  • U.S. National Library of Medicine
  • National Center for Research Resources (AG016570, LM05639, RR019771, EB01651)
  • National Institute on Aging
  • Pfizer
  • National Institutes of Health (U01 AG024904)
  • Alzheimer's Disease Neuroimaging Initiative
  • Foundation for the National Institutes of Health
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
Alzheimer's disease, mild cognitive impairment, longitudinal brain atrophy, temporal lobe atrophy, neurodegeneration, phosphorylated tau, cerebrospinal fluid biomarkers, cognitive decline, MCI conversion, nonlinear image registration, disease progression
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Brain, Cognition, Female, Follow-Up Studies, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Nerve Degeneration, Neuropsychological Tests, Biomarkers, Amyloid beta-Peptides, tau Proteins, Disease Progression, Positron-Emission Tomography

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