The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index.
White Matter Lesions Are Prevalent but Differentially Related With Cognition in Aging and Early Alzheimer Disease
Abstract
BACKGROUND: White matter lesions (WMLs) are prevalent in nondemented aging and in Alzheimer disease (AD). Their relationship with cognition in the earliest stages of AD is unknown. OBJECTIVE: To assess the relationship between WMLs and cognition in nondemented aging and in early-stage AD. DESIGN: Cross-sectional study. SETTING: Alzheimer Disease Research Center, St Louis, MO. PARTICIPANTS: Participants were nondemented (n = 88) or had very mild (n = 48) or mild (n = 20) AD. MAIN OUTCOME MEASURES: Regression coefficients for deep WMLs and periventricular WMLs (PVWMLs) as predictors of cognition, after controlling for age, educational achievement, brain atrophy, and infarctlike lesions. RESULTS: White matter lesions were present in nondemented aging and in early-stage AD, with no group differences in deep WML burden and a modest PVWML burden increase in the AD group. The prevalence of infarctlike lesions was equivalent between groups. Age and hypertension were related to deep WML burden and PVWML burden. Deep WML burden and PVWML burden were associated with reduced global cognition in AD but not in nondemented aging. A PVWML x AD status interaction for global cognition suggests that the relationship between PVWMLs and cognition is modified by AD. In AD, global cognitive reductions were related to impairments in visual memory, processing speed, and executive function. CONCLUSIONS: White matter lesions are prevalent in nondemented aging and in early-stage AD, and their presence influences cognitive impairment in the earliest stages of AD. Individuals with early-stage AD may be more vulnerable to the cognitive effect of WMLs than nondemented aging individuals with similar WML burden.
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“AD subjects show more pervasive white matter change [42–46].”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [43]
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Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Zhang, Y., Brady, M., & Smith, S. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 7,628
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI.
Hixson, J., & Vernier, D. (1990) · Journal of Lipid Research · doi:10.1016/s0022-2275(20)43176-1 · Cited by 2,933
Silent Brain Infarcts and the Risk of Dementia and Cognitive Decline
Vermeer, S. E., Prins, N. D., den Heijer, T., Hofman, A., Koudstaal, P. J., & Breteler, M. M. B. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022066 · Cited by 2,313
Mild Cognitive Impairment Represents Early-Stage Alzheimer Disease
Morris, J. C., Storandt, M., Miller, J. P., McKeel, D. W., Price, J. L., Rubin, E. H., & Berg, L. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.397 · Cited by 1,871
Brain Infarction and the Clinical Expression of Alzheimer Disease<subtitle>The Nun Study</subtitle>
Snowdon, D. A. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540340047031 · Cited by 1,590
Memory and Executive Function in Aging and AD
Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.006 · Cited by 1,508
Longstreth, W. T., Manolio, T. A., Arnold, A., Burke, G. L., Bryan, N., Jungreis, C. A., Enright, P. L., O'Leary, D., & Fried, L. (1996) · Stroke · doi:10.1161/01.str.27.8.1274 · Cited by 1,464
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Marcus, D. S., Wang, T. H., Parker, J., Csernansky, J. G., Morris, J. C., & Buckner, R. L. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.9.1498 · Cited by 2,163
Brain atrophy in Alzheimer’s Disease and aging
Pini, L., Pievani, M., Bocchetta, M., Altomare, D., Bosco, P., Cavedo, E., Galluzzi, S., Marizzoni, M., & Frisoni, G. B. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.002 · Cited by 836
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The extensible neuroimaging archive toolkit
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Metadata
- Authors
- Burns, J. M., Church, J. A., Johnson, D. K., Xiong, C., Marcus, D., Fotenos, A. F., Snyder, A. Z., Morris, J. C., & Buckner, R. L.
- Affiliations
- University of Kansas (US)
- Washington University in St. Louis (US)
- Neurology, Inc (US)
- ORCID
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2005-12-01
- Volume
- 62
- Issue
- 12
- Pages
- 1870
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2124948998
- Cited by
- 155
- References
- 42
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 5 · 2020: 2 · 2019: 12 · 2018: 9 · 2017: 5 · 2016: 6 · 2015: 7 · 2014: 9 · 2013: 7 · 2012: 6
- FWCI
- 7.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P50AG005681, P01AG003991)
- National Institute of Neurological Disorders and Stroke (T32 NS070521)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- white matter lesions, Alzheimer's disease, early Alzheimer's disease, aging, cognition, periventricular white matter lesions, deep white matter lesions, visual memory, processing speed, executive function, hypertension, brain atrophy
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Cognition Disorders, Cross-Sectional Studies, Diagnosis, Differential, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Fibers, Myelinated, Neuropsychological Tests, Predictive Value of Tests, Prevalence, Age of Onset, Plaque, Amyloid
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