The DOI matches its Crossref record; 85 of the 86 references it cites were found in a registry or an index.
Cerebrovascular disease, beta-amyloid, and cognition in aging
Open accessAbstract
The present study evaluated cerebrovascular disease (CVD), β-amyloid (Aβ), and cognition in clinically normal elderly adults. Fifty-four participants underwent magnetic resonance imaging (MRI), Pittsburgh compound B (PIB)-positron emission tomography (PET) imaging, and neuropsychological evaluation. High white matter hyperintensity burden and/or presence of infarct defined CVD status (CVD-: n = 27; CVD+: n = 27). PIB-positron emission tomography ratios of Aβ deposition were extracted using Logan plotting (cerebellar reference). Presence of high levels of Aβ in prespecified regions determined PIB status (PIB-: n = 33; PIB+: n = 21). Executive functioning and episodic memory were measured using composite scales. CVD and Aβ, defined as dichotomous or continuous variables, were unrelated to one another. CVD+ participants showed lower executive functioning (p = 0.001) when compared with CVD- individuals. Neither PIB status nor amount of Aβ affected cognition (ps ≥ 0.45), and there was no statistical interaction between CVD and PIB on either cognitive measure. Within this spectrum of normal aging CVD and Aβ aggregation appear to be independent processes with CVD primarily affecting cognition.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“the Aβ plaques may be found in 35% of cognitively healthy individuals above the age of 60 [290]”
From Ageing, Cellular Senescence and Neurodegenerative Disease (2018) · cites this paper as [290]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496
Frontal-subcortical circuits and human behavior
Cummings, J. L. (1993) · Archives of Neurology · doi:10.1001/archneur.1993.00540080076020 · Cited by 2,262
Observations on the brains of demented old people
Tomlinson, B. E., Blessed, G., & Roth, M. (1970) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(70)90063-8 · Cited by 2,084
Mixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992
Pendlebury, S. T., & Rothwell, P. M. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70236-4 · Cited by 1,853
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
Flagged first, then by citations
1 of the 86 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–127 of 127
Edwards, L., Initiative, A. D. N., Thomas, K. R., Weigand, A. J., Edmonds, E. C., Clark, A. L., Walker, K. S., Brenner, E. K., Nation, D. A., Maillard, P., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221209 · Cited by 9
Kaufmann, H., & Palma, J. (2020) · Movement Disorders Clinical Practice · doi:10.1002/mdc3.13000 · Cited by 9
Lazarov, O., Minshall, R. D., & Bonini, M. G. (2020) · International review of neurobiology · doi:10.1016/bs.irn.2020.03.020 · Cited by 9
Polymorphism in the MAGI2 Gene Modifies the Effect of Amyloid β on Neurodegeneration
Kim, H., Lee, T., Choi, J. K., & Jeong, Y. (2020) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000422 · Cited by 9
Age-related episodic memory decline and the role of amyloid-β: a systematic review
Souto, J. J. S., Silva, G. M., de Almeida, N. L. P., Shoshina, I. I., dos Santos, N. A., & Fernandes, T. P. (2021) · Dementia & Neuropsychologia · doi:10.1590/1980-57642021dn15-030002 · Cited by 9
Ali, D. G., Abner, E. L., Bahrani, A. A., El Khouli, R., Gold, B. T., Jiang, Y., Wilcock, D. M., & Jicha, G. A. (2023) · Brain Sciences · doi:10.3390/brainsci13020218 · Cited by 6
“It is also possible that these findings are related to the population studied, as ADNI excludes participants with severe vascular risk factors that may limit analysis of the full impact of WMH and other cerebrovascular injury in this cohort [9,48].”
ResultSpies, P. E., Verbeek, M. M., Sjögren, M. J. C., de Leeuw, F., & Claassen, J. A. H. R. (2014) · Current Alzheimer Research · doi:10.2174/1567205010666131120101352 · Cited by 6
Lewis, J., Suchy‐Dicey, A. M., Noonan, C., Jernigan, V. B. B., Umans, J. G., Domoto‐Reilly, K., Buchwald, D., & Manson, S. M. (2021) · Journal of Aging and Health · doi:10.1177/08982643211013696 · Cited by 5
van Gils, V., Ramakers, I. H. G. B., Jansen, W. J., Banning, L. C. P., Kučikienė, D., Costa, A. S., Schulz, J. B., Visser, P. J., Verhey, F. R. J., Reetz, K., et al. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230040 · Cited by 5
Aβ Imaging in Aging, Alzheimer’s Disease and Other Neurodegenerative Conditions
Villemagne, V. L., Fodero‐Tavoletti, M. T., Yates, P. A., Masters, C. L., & Rowe, C. C. (2014) · Springer eBooks · doi:10.1007/978-3-642-54307-4_10 · Cited by 4
Fan, Y., Lin, S., Chou, C., & Bai, C. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20043065 · Cited by 3
Kan, C. N., Huang, X., Zhang, L., Hilal, S., Reilhac, A., Tanaka, T., Venketasubramanian, N., Chen, C., & Xu, X. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.08.005 · Cited by 3
Type 2 Diabetes Mellitus as a Risk Factor for Alzheimer’s Disease
Bonds, J. A., Hart, P. C., Minshall, R. D., Lazarov, O., Haus, J. M., & Bonini, M. G. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802851-3.00013-9 · Cited by 3
White matter hyperintensities may be an early marker for age-related cognitive declinePreprint
Morrison, C., Dadar, M., Villeneuve, S., Collins, D. L., & Initiative, A. D. N. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.23.461560 · Cited by 3
Onset ages of cerebrovascular disease and amyloid and effects on cognition in risk-enriched cohorts
Du, L., Planalp, E. M., Betthauser, T. J., Jonaitis, E. M., Hermann, B. P., Rivera‐Rivera, L. A., Cody, K. A., Chin, N. A., Cadman, R. V., Johnson, K. M., et al. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf158 · Cited by 3
DeCarli, C. S., & Lockhart, S. N. (2014) · Encyclopedia of the Neurological Sciences · doi:10.1016/b978-0-12-385157-4.00443-7 · Cited by 2
Self-citationRisk Factors for -Amyloid Deposition in Healthy Aging
Rodrigue, K. M., Rieck, J. R., Kennedy, K. M., Devous, M. D., Diaz-Arrastia, R. R., & Park, D. C. (2015) · Cited by 1
Li, J., Qin, Y., Zhao, Y., Zeng, Q., Pan, H.-X., Liu, Z., Sun, Q., Xu, Q., Tan, J., Yan, X., et al. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.03.016 · Cited by 1
Osipova, O. A., Шепель, Р. Н., Shevtsov, R. Y., Komisov, A. A., Demko, V. V., Mezentsev, Y. A., & Drapkina, O. M. (2023) · CARDIOVASCULAR THERAPY AND PREVENTION · doi:10.15829/1728-8800-2023-3508 · Cited by 1
Longitudinal Effects of Cognitive Reserve and Vascular Risks in Aging and Dementia
Lo, Y. Y. (2012) · eScholarship (California Digital Library)
Cerebrovascular Disease and Associations with ATN Biomarkers and Cognition in Young Onset DementiaPreprint
Yatawara, C., Ng, K. P., Guevarra, A. C., Wong, B. Y. X., Yong, T., & Kandiah, N. (2019) · doi:10.21203/rs.2.19011/v1
Subramaniam, B., & Rangasamy, V. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.733499442.793549177
Imaging blood-brain barrier function in aging
Verheggen, I. C. M. (2021) · Research Publications (Maastricht University) · doi:10.26481/dis.20210601iv
Bubu, O. M., Kam, K., Parekh, A., & Ayappa, I. A. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1168062
Garnier‐Crussard, A., Bougacha, S., Wirth, M., André, C., Delarue, M., Landeau, B., Mézenge, F., Kuhn, E., Gonneaud, J., Chocat, A., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13070867
Metadata
- Authors
- Marchant, N. L., Reed, B. R., DeCarli, C. S., Madison, C. M., Weiner, M. W., Chui, H. C., & Jagust, W. J.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- University of California, Davis (US)
- University of California, Berkeley (US)
- University of California, San Francisco (US)
- University of Southern California (US)
- Corresponding author
- Marchant, Natalie L.
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2012-05
- Volume
- 33
- Issue
- 5
- Pages
- 1006.e25-1006.e36
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC3274647
- OpenAlex
- W1972661606
- Cited by
- 127
- References
- 86
- Citations by year
- 2025: 1 · 2024: 6 · 2023: 13 · 2022: 6 · 2021: 7 · 2020: 11 · 2019: 10 · 2018: 10 · 2017: 3 · 2016: 15 · 2015: 11 · 2014: 15 · 2013: 13 · 2012: 5
- FWCI
- 7.48
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- National Institutes of Health (AG012435, AG034570)
- Alzheimer's Association (ZEN-08-87090)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Health Sciences › Medicine › Clinical Neurology › Cerebrovascular and genetic disorders
- Keywords
- cerebrovascular disease, amyloid-beta, cognitive aging, white matter hyperintensities, cerebral infarction, Pittsburgh compound B PET, executive function, episodic memory, normal aging, Alzheimer's disease
- MeSH terms
- Aged, Aged, 80 and over, Aging, Cerebrovascular Disorders, Cognition, Female, Humans, Male, Risk Factors, Cohort Studies, Amyloid beta-Peptides, Executive Function, Cognitive Dysfunction, Memory, Episodic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
