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Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Open accessAbstract
We set out to determine factors that influence the rate of brain atrophy in 1-year longitudinal magnetic resonance imaging (MRI) data. With tensor-based morphometry (TBM), we mapped the 3-dimensional profile of progressive atrophy in 144 subjects with probable Alzheimer's disease (AD) (age: 76.5 +/- 7.4 years), 338 with amnestic mild cognitive impairment (MCI; 76.0 +/- 7.2), and 202 healthy controls (77.0 +/- 5.1), scanned twice, 1 year apart. Statistical maps revealed significant age and sex differences in atrophic rates. Brain atrophic rates were about 1%-1.5% faster in women than men. Atrophy was faster in younger than older subjects, most prominently in mild cognitive impairment, with a 1% increase in the rates of atrophy and 2% in ventricular expansion, for every 10-year decrease in age. TBM-derived atrophic rates correlated with reduced beta-amyloid and elevated tau levels (n = 363) at baseline, baseline and progressive deterioration in clinical measures, and increasing numbers of risk alleles for the ApoE4 gene. TBM is a sensitive, high-throughput biomarker for tracking disease progression in large imaging studies; sub-analyses focusing on women or younger subjects gave improved sample size requirements for clinical trials.
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“The brain atrophy rate is 1–1.5% faster in women with AD than that in men [6].”
From Sex specific molecular networks and key drivers of Alzheimer’s disease (2023) · cites this paper as [6]
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“After diagnosis, women also progress faster with more rapid cognitive and functional declines [3–8]”
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“Sex is an important factor that contributes to the clinical and biological heterogeneities in Alzheimer’s disease (AD)”
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Metadata
- Authors
- Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M.
- Affiliations
- University of California, Los Angeles (US)
- Mayo Clinic (US)
- San Francisco VA Medical Center (US)
- Corresponding author
- Thompson, Paul M.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 31
- Issue
- 8
- Pages
- 1463-1480
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2927200
- OpenAlex
- W2103030628
- Cited by
- 234
- References
- 153
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 40 · 2023: 21 · 2022: 20 · 2021: 23 · 2020: 15 · 2019: 12 · 2018: 19 · 2017: 8 · 2016: 12 · 2015: 10 · 2014: 3 · 2013: 12 · 2012: 3
- FWCI
- 5.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Dana Foundation
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD050735)
- National Institutes of Health (K01 AG030514, P30 AG010129, U54-RR021813)
- National Institute of Biomedical Imaging and Bioengineering (R01 EB007813, R01 EB008281, R01 EB008432)
- National Institute on Aging (R01 AG020098)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain atrophy rate, sex differences, age differences, Alzheimer's disease, amnestic mild cognitive impairment, ventriculomegaly, amyloid-beta, tau protein, APOE ε4, disease progression biomarkers
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Atrophy, Cognition Disorders, Female, Follow-Up Studies, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Prospective Studies, Sex Characteristics, Disease Progression
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