The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Much of late life cognitive decline is not due to common neurodegenerative pathologies
Open accessAbstract
Objective: The pathologic indices of Alzheimer disease, cerebrovascular disease, and Lewy body disease accumulate in the brains of older persons with and without dementia, but the extent to which they account for late life cognitive decline remains unknown. We tested the hypothesis that these pathologic indices account for the majority of late life cognitive decline. Methods: A total of 856 deceased participants from 2 longitudinal clinical–pathologic studies, Rush Memory and Aging Project and Religious Orders Study, completed a mean of 7.5 annual evaluations, including 17 cognitive tests. Neuropathologic examinations provided quantitative measures of global Alzheimer pathology, amyloid load, tangle density, macroscopic infarcts, microinfarcts, and neocortical Lewy bodies. Random coefficient models were used to examine the linear relation of pathologic indices with global cognitive decline. In subsequent analyses, random change point models were used to examine the relation of the pathologic indices with the onset of terminal decline and rates of preterminal and terminal decline (ie, nonlinear decline). Results: Cognition declined a mean of about 0.11U per year (estimate = −0.109, standard error [SE] = 0.004, p < 0.001), with significant individual differences in rates of decline; the variance estimate for the individual slopes was 0.013 (SE = 0.112, p < 0.001). In separate analyses, global Alzheimer pathology, amyloid, tangles, macroscopic infarcts, and neocortical Lewy bodies were associated with faster rates of decline and explained 22%, 6%, 34%, 2%, and 8% of the variation in decline, respectively. When analyzed simultaneously, the pathologic indices accounted for a total of 41% of the variation in decline, and the majority remained unexplained. Furthermore, in random change point models examining the influence of the pathologic indices on the onset of terminal decline and the preterminal and terminal components of the cognitive trajectory, the common pathologic indices accounted for less than a third of the variation in the onset of terminal decline and rates of preterminal and terminal decline. Interpretation: The pathologic indices of the common causes of dementia are important determinants of cognitive decline in old age and account for a large proportion of the variation in late life cognitive decline. Surprisingly, however, much of the variation in cognitive decline remains unexplained, suggesting that other important determinants of cognitive decline remain to be identified. Identification of the mechanisms that contribute to the large unexplained proportion of cognitive decline is urgently needed to prevent late life cognitive decline. Ann Neurol 2013;74:478–489
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
“However, pathologies such as β-amyloid plaques, neurofibrillary tangles, microinfarct, macroinfarct, and Lewy bodies together capture only about 41% of the variance in cognitive trajectory, leaving 59% unexplained5,7.”
From Large-scale proteomic analysis of human brain identifies proteins associated with cognitive trajectory in advanced age (2019) · cites this paper as [7]
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
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
Lunn, D. J., Thomas, A., Best, N., & Spiegelhalter, D. J. (2000) · Statistics and Computing · doi:10.1023/a:1008929526011 · Cited by 5,397
What is cognitive reserve? Theory and research application of the reserve concept
STERN, Y. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702813248 · Cited by 3,951
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
Self-citationAging Gracefully: Compensatory Brain Activity in High-Performing Older Adults
Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002) · NeuroImage · doi:10.1006/nimg.2002.1280 · Cited by 1,964
Loneliness and Risk of Alzheimer Disease
Wilson, R. S., Krueger, K. R., Arnold, S. E., Schneider, J. A., Kelly, J. F., Barnes, L. L., Tang, Y., & Bennett, D. A. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.2.234 · Cited by 1,363
Self-citationNeuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336
Self-citationFearn, T., Gelman, A., Carlin, J., Stern, H., & Rubin, D. B. (1996) · Biometrics · doi:10.2307/2533081 · Cited by 1,322
Katzman, R., Terry, R., DeTeresa, R., Brown, T., Davies, P., Fuld, P., Renbing, X., & Peck, A. (1988) · Annals of Neurology · doi:10.1002/ana.410230206 · Cited by 1,225
Overview and Findings from the Rush Memory and Aging Project
Bennett, D. A., Schneider, J. A., Buchman, A. S., Barnes, L. L., Boyle, P. A., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322663 · Cited by 849
Self-citationIndividual differences in rates of change in cognitive abilities of older persons.
Wilson, R. S., Beckett, L. A., Barnes, L. L., Schneider, J. A., Bach, J., Evans, D. A., & Bennett, D. A. (2002) · Psychology and Aging · doi:10.1037/0882-7974.17.2.179 · Cited by 842
Self-citationSynaptic alterations in CA1 in mild Alzheimer disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., DeKosky, S. T., & Mufson, E. J. (2007) · Neurology · doi:10.1212/01.wnl.0000260698.46517.8f · Cited by 824
Neuropathology of Cognitively Normal Elderly
Knopman, D. S., Parisi, J. E., Salviati, A., Floriach-Robert, M., Boeve, B. F., Ivnik, R. J., Smith, G. E., Dickson, D. W., Johnson, K. A., Petersen, L. E., et al. (2003) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/62.11.1087 · Cited by 674
Overview and Findings from the Religious Orders Study
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322573 · Cited by 656
Self-citationCrystal, H., Dickson, D., Fuld, P., Masur, D., Scott, R., Mehler, M., Masdeu, J., Kawas, C., Aronson, M., & Wolfson, L. (1988) · Neurology · doi:10.1212/wnl.38.11.1682 · Cited by 586
Pathological correlates of dementia in a longitudinal, population‐based sample of aging
Sonnen, J. A., Larson, E. B., Crane, P. K., Haneuse, S., Li, G., Schellenberg, G. D., Craft, S., Leverenz, J. B., & Montine, T. J. (2007) · Annals of Neurology · doi:10.1002/ana.21208 · Cited by 432
Riley, K. P., Snowdon, D. A., & Markesbery, W. R. (2002) · Annals of Neurology · doi:10.1002/ana.10161 · Cited by 406
Microinfarct Pathology, Dementia, and Cognitive Systems
Arvanitakis, Z., Leurgans, S. E., Barnes, L. L., Bennett, D. A., & Schneider, J. A. (2011) · Stroke · doi:10.1161/strokeaha.110.595082 · Cited by 404
Self-citationNeural reserve, neuronal density in the locus ceruleus, and cognitive decline
Wilson, R. S., Nag, S., Boyle, P. A., Hizel, L. P., Yu, L., Buchman, A. S., Schneider, J. A., & Bennett, D. A. (2013) · Neurology · doi:10.1212/wnl.0b013e3182897103 · Cited by 283
Self-citationCognitive impairment, decline and fluctuations in older community-dwelling subjects with Lewy bodies
Schneider, J. A., Arvanitakis, Z., Yu, L., Boyle, P. A., Leurgans, S. E., & Bennett, D. A. (2012) · Brain · doi:10.1093/brain/aws234 · Cited by 273
Self-citationBuchman, A. S. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1487 · Cited by 273
Neurodegenerative basis of age-related cognitive decline
Wilson, R. S., Leurgans, S. E., Boyle, P. A., Schneider, J. A., & Bennett, D. A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f39adc · Cited by 234
Self-citationBoyle, P. A., Yu, L., Wilson, R. S., Gamble, K. J., Buchman, A. S., & Bennett, D. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043647 · Cited by 230
Self-citationRelation of neuropathology to cognition in persons without cognitive impairment
Bennett, D. A., Wilson, R. S., Boyle, P. A., Buchman, A. S., & Schneider, J. A. (2012) · Annals of Neurology · doi:10.1002/ana.23654 · Cited by 220
Self-citationCognitive decline in the elderly: an analysis of population heterogeneity
Hayden, K. M., Reed, B., Manly, J. J., Tommet, D., Pietrzak, R. H., Chelune, G. J., Yang, F. M., Revell, A. J., Bennett, D. A., & Jones, R. N. (2011) · Age and Ageing · doi:10.1093/ageing/afr101 · Cited by 179
Self-citationGreen, M. S., Kaye, J. A., & Ball, M. J. (2000) · Neurology · doi:10.1212/wnl.54.1.105 · Cited by 152
Impact of Alzheimer's pathology on cognitive trajectories in nondemented elderly
Driscoll, I., Resnick, S. M., Troncoso, J. C., An, Y., O'Brien, R., & Zonderman, A. B. (2006) · Annals of Neurology · doi:10.1002/ana.21031 · Cited by 132
Hippocampal Sclerosis Contributes to Dementia in the Elderly
Corey‐Bloom, J., Sabbagh, M. N., Bondi, M. W., Hansen, L., Alford, M. F., Masliah, E., & Thal, L. J. (1997) · Neurology · doi:10.1212/wnl.48.1.154 · Cited by 110
The aging brain and cognition: contribution of vascular injury and aβ to mild cognitive dysfunction
Marchant, N. L., Reed, B. R., Sanossian, N., Madison, C. M., Kriger, S., Dhada, R., Mack, W. J., DeCarli, C., Weiner, M. W., Mungas, D. M., et al. (2013) · JAMA Neurology · doi:10.1001/2013.jamaneurol.405 · Cited by 106
Balasubramanian, A. B., Kawas, C. H., Peltz, C. B., Brookmeyer, R., & Corrada, M. M. (2012) · Neurology · doi:10.1212/wnl.0b013e318266fc77 · Cited by 102
Cognitive reserve, presynaptic proteins, and dementia in the elderly
Honer, W. G., Barr, A. M., Sawada, K., Thornton, A. E., Morris, M. C., Leurgans, S. E., Schneider, J. A., & Bennett, D. A. (2012) · Translational Psychiatry · doi:10.1038/tp.2012.38 · Cited by 100
Self-citationAmyloid mediates the association of apolipoprotein E e4 allele to cognitive function in older people
Bennett, D. A. (2005) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2004.054445 · Cited by 99
Self-citationTremblay, C., St‐Amour, I., Schneider, J. A., Bennett, D. A., & Calon, F. (2011) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31822c62cf · Cited by 98
Self-citationCognitive decline in old age: Separating retest effects from the effects of growing older.
Wilson, R. S., Li, Y., Bienias, L., & Bennett, D. A. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.4.774 · Cited by 77
Self-citationTerminal decline and practice effects in older adults without dementia
Dodge, H. H., Wang, C.-N., Chang, C.-C. H., & Ganguli, M. (2011) · Neurology · doi:10.1212/wnl.0b013e31822b0068 · Cited by 64
Inaba, M., White, L. R., Bell, C., Chen, R., Petrovitch, H., Launer, L. J., Abbott, R. D., Ross, G. W., & Masaki, K. (2011) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2011.03490.x · Cited by 52
Predictors of Preclinical Alzheimer Disease and Dementia: A Clinicopathologic Study
Galvin, J. E., Powlishta, K. K., Wilkins, K., McKeel, D. W., Xiong, C., Grant, E., Storandt, M., & Morris, J. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.5.758 · Cited by 2
Flagged first, then by citations
Cited by
Sorted by citations
Scheltens, P., Blennow, K., Breteler, M. M. B., de Strooper, B., Frisoni, G. B., Salloway, S., & Van der Flier, W. M. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01124-1 · Cited by 3,125
Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report
Nelson, P. T., Dickson, D. W., Trojanowski, J. Q., Jack, C. R., Boyle, P. A., Arfanakis, K., Rademakers, R., Alafuzoff, I., Attems, J., Brayne, C., et al. (2019) · Brain · doi:10.1093/brain/awz099 · Cited by 1,547
Self-citationThe Impact of Age on Cognition
Murman, D. (2015) · Seminars in Hearing · doi:10.1055/s-0035-1555115 · Cited by 1,619
Religious Orders Study and Rush Memory and Aging Project
Bennett, D. A., Buchman, A. S., Boyle, P. A., Barnes, L. L., Wilson, R. S., & Schneider, J. A. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-179939 · Cited by 1,260
Self-citationHow Does it STAC Up? Revisiting the Scaffolding Theory of Aging and Cognition
Reuter‐Lorenz, P. A., & Park, D. C. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9270-9 · Cited by 1,054
Metadata
- Authors
- Boyle, P. A., Wilson, R. S., Yu, L., Barr, A. M., Honer, W. G., Schneider, J. A., & Bennett, D. A.
- Affiliations
- Rush University Medical Center (US)
- University of British Columbia (CA)
- Corresponding author
- Boyle, Patricia A.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2013-07-10
- Volume
- 74
- Issue
- 3
- Pages
- 478-489
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC3845973
- OpenAlex
- W1581476053
- Cited by
- 323
- References
- 39
- Citations by year
- 2026: 17 · 2025: 14 · 2024: 18 · 2023: 21 · 2022: 25 · 2021: 20 · 2020: 26 · 2019: 30 · 2018: 36 · 2017: 31 · 2016: 33 · 2015: 24 · 2014: 17 · 2013: 11
- FWCI
- 20.08
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Canadian Institutes of Health Research (CBG101827)
- National Institute on Aging (R01 AG33678, R01AG017917, P30-AG 10161, R01-AG34374, R01‐AG17917, R01 AG15819, R01AG015819, P30AG010161, R01AG033678, R01AG034374)
- 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 › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- late-life cognitive decline, Alzheimer's disease, cerebrovascular disease, Lewy body disease, neurodegeneration, neuropathology, amyloid, neurofibrillary tangles, microinfarcts, dementia, cognitive trajectories, older adults, Religious Orders Study
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Cognition Disorders, Female, Humans, Longitudinal Studies, Male, Nerve Degeneration, Neuropsychological Tests
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