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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
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“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]
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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
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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
Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve
Barulli, D., & Stern, Y. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.012 · Cited by 1,006
The overlap between vascular disease and Alzheimer’s disease - lessons from pathology
Attems, J., & Jellinger, K. A. (2014) · BMC Medicine · doi:10.1186/s12916-014-0206-2 · Cited by 739
“However, much of the variation in cognitive decline remains unexplained, suggesting that other important determinants of cognitive decline remain to be identified [156].”
BackgroundNguyen, P. H., Ramamoorthy, A., Sahoo, B. R., Zheng, J., Faller, P., Straub, J. E., Domínguez, L., Shea, J., Dokholyan, N. V., Simone, A. D., et al. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01122 · Cited by 680
β-amyloid disrupts human NREM slow waves and related hippocampus-dependent memory consolidation
Mander, B. A., Marks, S. M., Vogel, J. W., Rao, V., Lu, B., Saletin, J. M., Ancoli-Israel, S., Jagust, W. J., & Walker, M. P. (2015) · Nature Neuroscience · doi:10.1038/nn.4035 · Cited by 569
Mostafavi, S., Gaiteri, C., Sullivan, S. E., White, C. C., Tasaki, S., Xu, J., Taga, M., Klein, H.-U., Patrick, E., Komashko, V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0154-9 · Cited by 509
Self-citationPerson-specific contribution of neuropathologies to cognitive loss in old age
Boyle, P. A., Yu, L., Wilson, R. S., Leurgans, S. E., Schneider, J. A., & Bennett, D. A. (2018) · Annals of Neurology · doi:10.1002/ana.25123 · Cited by 508
Self-citationClifford, A., Lang, L., Chen, R., Anstey, K. J., & Seaton, A. (2016) · Environmental Research · doi:10.1016/j.envres.2016.01.018 · Cited by 522
Levine, M. E., Lu, A. T., Bennett, D. A., & Horvath, S. (2015) · Aging · doi:10.18632/aging.100864 · Cited by 455
Self-citationTDP-43 stage, mixed pathologies, and clinical Alzheimer’s-type dementia
James, B. D., Wilson, R. S., Boyle, P. A., Trojanowski, J. Q., Bennett, D. A., & Schneider, J. A. (2016) · Brain · doi:10.1093/brain/aww224 · Cited by 407
Self-citationCerebral amyloid angiopathy and cognitive outcomes in community-based older persons
Boyle, P. A., Yu, L., Nag, S., Leurgans, S., Wilson, R. S., Bennett, D. A., & Schneider, J. A. (2015) · Neurology · doi:10.1212/wnl.0000000000002175 · Cited by 423
Self-citationDefining Cognitive Reserve and Implications for Cognitive Aging
Pettigrew, C. A., & Soldan, A. (2019) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-019-0917-z · Cited by 484
A major role for cardiovascular burden in age-related cognitive decline
Qiu, C., & Fratiglioni, L. (2015) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2014.223 · Cited by 422
Prevalence of mixed pathologies in the aging brain
Rahimi, J., & Kovács, G. G. (2014) · Alzheimer s Research & Therapy · doi:10.1186/s13195-014-0082-1 · Cited by 382
B-Lymphocyte-Mediated Delayed Cognitive Impairment following Stroke
Doyle, K. P., Quach, L. N., Solé, M., Axtell, R. C., Nguyen, T. V., Soler-Llavina, G. J., Jurado, S., Han, J., Steinman, L., Longo, F. M., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4098-14.2015 · Cited by 338
Self-citationAttributable risk of Alzheimer's dementia attributed to age-related neuropathologies
Boyle, P. A., Yu, L., Leurgans, S. E., Wilson, R. S., Brookmeyer, R., Schneider, J. A., & Bennett, D. A. (2019) · Annals of Neurology · doi:10.1002/ana.25380 · Cited by 318
Self-citationEntorhinal Tau Pathology, Episodic Memory Decline, and Neurodegeneration in Aging
Maaß, A., Lockhart, S. N., Harrison, T. M., Bell, R. K., Mellinger, T. J., Swinnerton, K. N., Baker, S. L., Rabinovici, G. D., & Jagust, W. J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2028-17.2017 · Cited by 298
Davis, D. H. J., Muniz-Terrera, G., Keage, H. A. D., Stephan, B. C. M., Fleming, J., Ince, P. G., Matthews, F. E., Cunningham, C., Ely, E. W., MacLullich, A. M. J., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.3423 · Cited by 252
TDP-43 Pathology, Cognitive Decline, and Dementia in Old Age
Wilson, R. S., Yu, L., Trojanowski, J. Q., Chen, E., Boyle, P. A., Bennett, D. A., & Schneider, J. A. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.3961 · Cited by 253
Self-citationGarwood, C. J., Ratcliffe, L. E., Simpson, J. E., Heath, P. R., Ince, P. G., & Wharton, S. B. (2017) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12338 · Cited by 233
Dietary fat composition and dementia risk
Morris, M. C., & Tangney, C. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.038 · Cited by 228
To what degree is late life cognitive decline driven by age-related neuropathologies?
Boyle, P. A., Wang, T., Yu, L., Wilson, R. S., Dawe, R. J., Arfanakis, K., Schneider, J. A., & Bennett, D. A. (2021) · Brain · doi:10.1093/brain/awab092 · Cited by 220
Self-citationCombined neuropathological pathways account for age‐related risk of dementia
Power, M. C., Mormino, E. C., Soldan, A., James, B. D., Yu, L., Armstrong, N. M., Bangen, K. J., Delano‐Wood, L., Lamar, M., Lim, Y. Y., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25246 · Cited by 215
Self-citationMorris, G. P., Clark, I. A., & Vissel, B. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1918-8 · Cited by 212
Wingo, A. P., Dammer, E. B., Breen, M. S., Logsdon, B. A., Duong, D. M., Troncosco, J. C., Thambisetty, M., Beach, T. G., Serrano, G. E., Reiman, E. M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09613-z · Cited by 211
Causes and Patterns of Dementia: An Update in the Era of Redefining Alzheimer's Disease
James, B. D., & Bennett, D. A. (2019) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040218-043758 · Cited by 213
Self-citationCoupled cognitive changes in adulthood: A meta-analysis.
Tucker–Drob, E. M., Brandmaier, A. M., & Lindenberger, U. (2019) · Psychological Bulletin · doi:10.1037/bul0000179 · Cited by 216
Hippocampal sclerosis of aging, a prevalent and high-morbidity brain disease
Nelson, P. T., Smith, C. D., Abner, E. L., Wilfred, B. R., Wang, W., Neltner, J. H., Baker, M., Fardo, D. W., Kryscio, R. J., Scheff, S. W., et al. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1154-1 · Cited by 201
Mixed neuropathologies and estimated rates of clinical progression in a large autopsy sample
Brenowitz, W. D., Hubbard, R. A., Keene, C. D., Hawes, S. E., Longstreth, W. T., Woltjer, R. L., & Kukull, W. A. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.09.015 · Cited by 188
Neuropathologic comorbidity and cognitive impairment in the Nun and Honolulu-Asia Aging Studies
White, L. R., Edland, S. D., Hemmy, L. S., Montine, K. S., Zarow, C., Sonnen, J. A., Uyehara‐Lock, J. H., Gelber, R. P., Ross, G. W., Petrovitch, H., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002480 · Cited by 174
Odor identification and Alzheimer disease biomarkers in clinically normal elderly
Growdon, M. E., Schultz, A. P., Dagley, A. S., Amariglio, R. E., Hedden, T., Rentz, D. M., Johnson, K. A., Sperling, R. A., Albers, M. W., & Marshall, G. A. (2015) · Neurology · doi:10.1212/wnl.0000000000001614 · Cited by 165
Predictors of ageing-related decline across multiple cognitive functions
Ritchie, S. J., Tucker-Drob, E. M., Cox, S. R., Corley, J., Dykiert, D., Redmond, P., Pattie, A., Taylor, A. M., Sibbett, R., Starr, J. M., et al. (2016) · Intelligence · doi:10.1016/j.intell.2016.08.007 · Cited by 147
Brain and blood metabolome for Alzheimer's dementia: findings from a targeted metabolomics analysis
Huo, Z., Yu, L., Yang, J., Zhu, Y., Bennett, D. A., & Zhao, J. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.10.014 · Cited by 147
Self-citationKarr, J. E., Graham, R., Hofer, S. M., & Terrera, G. M. (2018) · Psychology and Aging · doi:10.1037/pag0000236 · Cited by 161
Multicellular communities are perturbed in the aging human brain and Alzheimer’s disease
Cain, A., Taga, M., McCabe, C., Green, G. S., Hekselman, I., White, C. C., Lee, D. I., Gaur, P., Rozenblatt-Rosen, O., Zhang, F., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01356-x · Cited by 142
Self-citationChallenges of multimorbidity of the aging brain: a critical update
Jellinger, K. A., & Attems, J. (2015) · Journal of Neural Transmission · doi:10.1007/s00702-014-1288-x · Cited by 154
Brain Renin–Angiotensin System at the Intersect of Physical and Cognitive Frailty
Cosarderelioglu, C., Nidadavolu, L. S., George, C. J., Oh, E. S., Bennett, D. A., Walston, J. D., & Abadir, P. M. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.586314 · Cited by 134
Self-citationVaried effects of age-related neuropathologies on the trajectory of late life cognitive decline
Boyle, P. A., Yang, J., Yu, L., Leurgans, S. E., Capuano, A. W., Schneider, J. A., Wilson, R. S., & Bennett, D. A. (2016) · Brain · doi:10.1093/brain/aww341 · Cited by 132
Self-citationCortical Proteins Associated With Cognitive Resilience in Community-Dwelling Older Persons
Yu, L., Tasaki, S., Schneider, J. A., Arfanakis, K., Duong, D. M., Wingo, A. P., Wingo, T. S., Kearns, N., Thatcher, G. R. J., Seyfried, N. T., et al. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.1807 · Cited by 127
Self-citationEpigenomics of Alzheimer's disease
Bennett, D. A., Yu, L., Yang, J., Srivastava, G. P., Aubin, C., & Jager, P. L. D. (2014) · Translational research · doi:10.1016/j.trsl.2014.05.006 · Cited by 126
Self-citationClinical and imaging features of mixed Alzheimer and vascular pathologies
Chui, H. C., & Ramirez-Gomez, L. (2015) · Alzheimer's Research & Therapy · doi:10.1186/s13195-015-0104-7 · Cited by 124
Targeted brain proteomics uncover multiple pathways to Alzheimer's dementia
Yu, L., Petyuk, V. A., Gaiteri, C., Mostafavi, S., Young‐Pearse, T., Shah, R. C., Buchman, A. S., Schneider, J. A., Piehowski, P. D., Sontag, R. L., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25266 · Cited by 124
Self-citationMeasuring cognition and function in the preclinical stage of Alzheimer's disease
Weıntraub, S., Carrillo, M. C., Farias, S. T., Goldberg, T. E., Hendrix, J. A., Jaeger, J., Knopman, D. S., Langbaum, J. B. S., Park, D. C., Ropacki, M. T., et al. (2018) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.01.003 · Cited by 129
Leveraging preclinical models for the development of Alzheimer disease therapeutics
Scearce-Levie, K. A., Sanchez, P. E., & Lewcock, J. W. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0065-9 · Cited by 121
APP/Aβ structural diversity and Alzheimer's disease pathogenesis
Roher, A. E., Kokjohn, T. A., Clarke, S. G., Sierks, M. R., Maarouf, C. L., Serrano, G. E., Sabbagh, M., & Beach, T. G. (2017) · Neurochemistry International · doi:10.1016/j.neuint.2017.08.007 · Cited by 126
Stern, Y., & Barulli, D. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-12-804766-8.00011-x · Cited by 128
White, C. C., Yang, H., Yu, L., Chibnik, L. B., Dawe, R. J., Yang, J., Klein, H., Felsky, D., Ramos‐Miguel, A., Arfanakis, K., et al. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002287 · Cited by 105
Self-citationRelation of neuropathology with cognitive decline among older persons without dementia
Boyle, P. A., Yu, L., Wilson, R. S., Schneider, J. A., & Bennett, D. A. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00050 · Cited by 105
Self-citationCoupled Changes in Brain White Matter Microstructure and Fluid Intelligence in Later Life
Ritchie, S. J., Bastin, M. E., Tucker–Drob, E. M., Maniega, S. M., Engelhardt, L. E., Cox, S. R., Royle, N. A., Gow, A. J., Corley, J., Pattie, A., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0862-15.2015 · Cited by 104
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Wilson, R. S., Wang, T., Yu, L., Bennett, D. A., & Boyle, P. A. (2020) · Annals of Neurology · doi:10.1002/ana.25711 · Cited by 97
Self-citationNegative social interactions and risk of mild cognitive impairment in old age
Wilson, R. S., Boyle, P. A., James, B. D., Leurgans, S. E., Buchman, A. S., & Bennett, D. A. (2015) · Neuropsychology · doi:10.1037/neu0000154 · Cited by 87
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Duffy, S. S., Keating, B. A., Perera, C. J., & Moalem‐Taylor, G. (2017) · Journal of Neuroscience Research · doi:10.1002/jnr.24073 · Cited by 88
Mehta, R. I., & Schneider, J. A. (2021) · Current Opinion in Neurology · doi:10.1097/wco.0000000000000912 · Cited by 87
Self-citationDawe, R. J., Yu, L., Arfanakis, K., Schneider, J. A., Bennett, D. A., & Boyle, P. A. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12009 · Cited by 83
Self-citationConscientiousness, dementia related pathology, and trajectories of cognitive aging.
Wilson, R. S., Boyle, P. A., Yu, L., Segawa, E., Sytsma, J., & Bennett, D. A. (2015) · Psychology and Aging · doi:10.1037/pag0000013 · Cited by 84
Self-citationCarmo, S. D., Hanzel, C. E., Jacobs, M. L., Machnes, Z. M., Iulita, M. F., Yang, J., Yu, L., Ducatenzeiler, A., Danik, M., Breuillaud, L., et al. (2016) · Scientific Reports · doi:10.1038/srep34051 · Cited by 83
Self-citationTOMM40 ′523 variant and cognitive decline in older persons with APOE ε3/3 genotype
Yu, L., Lutz, M. W., Wilson, R. S., Burns, D. K., Roses, A. D., Saunders, A. M., Gaiteri, C., Jager, P. L. D., Barnes, L. L., & Bennett, D. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003614 · Cited by 79
Self-citationde Vries, L. E., Huitinga, I., Kessels, H. W. H. G., Swaab, D. F., & Verhaagen, J. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00719-7 · Cited by 85
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Farfel, J. M., Yu, L., Buchman, A. S., Schneider, J. A., De Jager, P. L., & Bennett, D. A. (2016) · Neurology · doi:10.1212/wnl.0000000000002909 · Cited by 64
Self-citationResidual decline in cognition after adjustment for common neuropathologic conditions.
Yu, L., Boyle, P. A., Segawa, E., Leurgans, S. E., Schneider, J. A., Wilson, R. S., & Bennett, D. A. (2014) · Neuropsychology · doi:10.1037/neu0000159 · Cited by 75
Self-citationWingo, T. S., Yang, J., Fan, W., Canon, S. M., Gerasimov, E. S., Lori, A., Logsdon, B. A., Yao, B., Seyfried, N. T., Lah, J. J., et al. (2020) · npj Genomic Medicine · doi:10.1038/s41525-019-0113-8 · Cited by 71
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Marchant, N. L., & Howard, R. J. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-141515 · Cited by 68
Boyle, R. T., Knight, S. P., Looze, C. D., Carey, D., Scarlett, S., Stern, Y., Robertson, I. H., Kenny, R. A., & Whelan, R. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00870-z · Cited by 69
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Márquez, D. X., Glover, C. M., Lamar, M., Leurgans, S. E., Shah, R. C., Barnes, L. L., Aggarwal, N. T., Buchman, A. S., & Bennett, D. A. (2020) · Neuroepidemiology · doi:10.1159/000509626 · Cited by 62
Self-citationBrain DNA Methylation Patterns in CLDN5 Associated With Cognitive Decline
Hüls, A., Robins, C., Conneely, K. N., Edgar, R. D., Jager, P. L. D., Bennett, D. A., Wingo, A. P., Epstein, M. P., & Wingo, T. S. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.01.015 · Cited by 63
Self-citation(ADNI), A. D. N. I., Kleineidam, L., Chouraki, V., Próchnicki, T., van der Lee, S. J., Madrid-Márquez, L., Wagner-Thelen, H., Karaca, I., Weinhold, L., Wolfsgruber, S., et al. (2020) · Acta Neuropathologica · doi:10.1007/s00401-020-02138-6 · Cited by 62
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Graham, E. K., James, B. D., Jackson, K., Willroth, E. C., Boyle, P. A., Wilson, R., Bennett, D. A., & Mroczek, D. K. (2020) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbaa135 · Cited by 62
Self-citationBennett, D. A. (2017) · PLoS Medicine · doi:10.1371/journal.pmed.1002256 · Cited by 64
Self-citationVascular and neurodegenerative pathways—will they meet?
Kalaria, R. N., & Ihara, M. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.164 · Cited by 60
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Tasaki, S., Gaiteri, C., Mostafavi, S., Jager, P. L. D., & Bennett, D. A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00699 · Cited by 61
Self-citationAssociation of genetic risk factors with cognitive decline: the PATH through life project
Andrews, S. J., Das, D., Cherbuin, N., Anstey, K. J., & Easteal, S. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.016 · Cited by 63
The prognosis of mild cognitive impairment: A systematic review and meta‐analysis
Salemme, S., Lombardo, F. L., Lacorte, E., Sciancalepore, F., Remoli, G., Bacigalupo, I., Piscopo, P., Zamboni, G., Rossini, P. M., Cappa, S. F., et al. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70074 · Cited by 58
Ramos‐Miguel, A., Beasley, C. L., Dwork, A. J., Mann, J. J., Rosoklija, G. B., Barr, A. M., & Honer, W. G. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.12.012 · Cited by 58
Self-citationPrediction of Long-term Cognitive Decline Following Postoperative Delirium in Older Adults
Devore, E. E., Fong, T. G., Marcantonio, E. R., Schmitt, E. M., Travison, T. G., Jones, R. N., & Inouye, S. K. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx030 · Cited by 58
Bennett, D. A., Yu, L., & Jager, P. L. D. (2014) · Biochemical Pharmacology · doi:10.1016/j.bcp.2014.01.037 · Cited by 54
Self-citationBeach, T., Malek-Ahmadi, M., ZAMRINI, E. Y., Adler, C. H., Sabbagh, M. N., Shill, H. A., Jacobson, S. A., Belden, C. M., Caselli, R. J., Woodruff, B. K., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217566 · Cited by 56
Late‐life physical activity relates to brain tissue synaptic integrity markers in older adults
Casaletto, K., Ramos‐Miguel, A., VandeBunte, A., Memel, M., Buchman, A., Bennett, D., & Honer, W. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12530 · Cited by 53
Self-citationCognitive Reserve as a Useful Concept for Early Intervention Research in Multiple Sclerosis
Sumowski, J. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00176 · Cited by 55
MRI-based evaluation of structural degeneration in the ageing brain: Pathophysiology and assessment
Grajauskas, L. A., Siu, W. W. Y., Medvedev, G., Guo, H., D’Arcy, R. C. N., & Song, X. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2018.11.004 · Cited by 61
Nilsson, J., & Lövdén, M. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0365-z · Cited by 69
Precision Aging: Applying Precision Medicine to the Field of Cognitive Aging
Ryan, L., Hay, M., Huentelman, M. J., Duarte, A., Rundek, T., Levin, B. E., Soldan, A., Pettigrew, C. A., Mehl, M. R., & Barnes, C. A. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00128 · Cited by 55
Geerts, H., Wikswo, J. P., van der Graaf, P. H., Bai, J. P. F., Gaiteri, C., Bennett, D. A., Swalley, S. E., Schuck, E. L., Kaddurah‐Daouk, R., Tsaioun, K., et al. (2019) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12478 · Cited by 49
Self-citationCognitive impairment and World Trade Centre-related exposures
Clouston, S., Hall, C. B., Kritikos, M., Bennett, D. A., DeKosky, S. T., Edwards, J. D., Finch, C. E., Kreisl, W. C., Mielke, M. M., Peskind, E. R., et al. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00576-8 · Cited by 54
Self-citationCasaletto, K. B., Lindbergh, C. A., VandeBunte, A. M., Neuhaus, J., Schneider, J. A., Buchman, A. S., Honer, W. G., & Bennett, D. A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1483-21.2021 · Cited by 51
Self-citationLewy body pathology in Alzheimer's disease: A clinicopathological prospective study
Savica, R., Beach, T. G., Hentz, J. G., Sabbagh, M. N., Serrano, G. E., Sue, L. I., Dugger, B. N., Shill, H. A., Driver‐Dunckley, E. D., Caviness, J. N., et al. (2018) · Acta Neurologica Scandinavica · doi:10.1111/ane.13028 · Cited by 53
Dynamic change of cognitive reserve: associations with changes in brain, cognition, and diagnosis
Bettcher, B. M., Gross, A. L., Gavett, B. E., Widaman, K. F., Fletcher, E., Dowling, N. M., Buckley, R. F., Arenaza‐Urquijo, E. M., Zahodne, L. B., Hohman, T. J., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.016 · Cited by 54
Cognitive function in older adults according to current socioeconomic status
Zhang, M., Gale, S. D., Erickson, L. D., Brown, B. L., Woody, P., & Hedges, D. W. (2015) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2014.997663 · Cited by 53
Biomarkers in subtypes of mild cognitive impairment and subjective cognitive decline
Eliassen, C. F., Reinvang, I., Selnes, P., Grambaitė, R., Fladby, T., & Hessen, E. (2017) · Brain and Behavior · doi:10.1002/brb3.776 · Cited by 51
The process and mechanisms of personality change
Jackson, J. J., & Wright, A. J. (2024) · Nature Reviews Psychology · doi:10.1038/s44159-024-00295-z · Cited by 68
van Rooij, J., Meeter, L. H. H., Melhem, S., Nijholt, D. A. T., Wong, T. H., Rozemüller, A. J. M., Uitterlinden, A. G., van Meurs, J. B. J., & Swieten, J. C. V. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.023 · Cited by 47
Perin, S., Buckley, R. F., Pase, M. P., Yassi, N., Lavale, A., Wilson, P. H., Schembri, A. J., Maruff, P. T., & Lim, Y. Y. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12043 · Cited by 49
Buchman, A. S., & Bennett, D. A. (2013) · The journal of nutrition health & aging · doi:10.1007/s12603-013-0397-9 · Cited by 51
Self-citationMontine, T. J., Corrada, M. M., Kawas, C. H., Bukhari, S. A., White, L. R., Tian, L., & Cholerton, B. (2022) · Neurology · doi:10.1212/wnl.0000000000200832 · Cited by 51
A Review of Biomarkers for Neurodegenerative Disease: Will They Swing Us Across the Valley?
Beach, T. G. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0072-x · Cited by 50
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
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