Association of Elevated Amyloid Levels With Cognition and Biomarkers in Cognitively Normal People From the Community
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IMPORTANCE: The role of amyloid in the progression of Alzheimer disease (AD) pathophysiology is of central interest to the design of randomized clinical trials. The presence of amyloid has become a prerequisite for enrollment in several secondary prevention trials for AD, yet the precise effect of elevated amyloid levels on subsequent clinical and biomarker events is less certain. OBJECTIVE: To explore the effect of elevated amyloid levels on subsequent changes in cognition and biomarkers. DESIGN, SETTING, AND PARTICIPANTS: A total of 564 cognitively normal individuals (median age, 78 years) from the Mayo Clinic Study of Aging, a population-based longitudinal study in Olmsted County, Minnesota, with serial cognitive data were selected for this study. The data used in this study were collected from January 12, 2006, to January 9, 2014. Individuals included in this study had undergone magnetic resonance imaging, fluorodeoxyglucose positron emission tomography (FDG-PET), and Pittsburgh Compound B (PiB) PET at baseline were not cognitively impaired at baseline and had at least 1 clinical follow-up. A subset of 286 individuals also underwent serial imaging. Elevated amyloid level was defined as a standardized uptake value ratio of greater than 1.5 on PiB PET. Associations with baseline amyloid status and baseline and longitudinal change in clinical and imaging measures were evaluated after adjusting for age and hippocampal volume. APOE4 effects were also evaluated. MAIN OUTCOMES AND MEASURES: Cognitive measures of memory, language, attention/executive function, visuospatial skills, PiB levels, hippocampal and ventricular volumes, and FDG-PET measures. RESULTS: At baseline, 179 (31.7%) individuals with elevated amyloid levels had poorer cognition in all domains measured, reduced hippocampal volume, and greater FDG-PET hypometabolism. Elevated amyloid levels at baseline were associated with a greater rate of cognitive decline in all domains (0.04 to 0.09 z score units per year) except language and a greater rate of amyloid accumulation (1.6% per year), hippocampal atrophy (30 mm3 per year), and ventricular enlargement (565 mm3 per year). Elevated amyloid levels were also associated with an increased risk of mild cognitive impairment (hazard ratio, 2.9; 95% CI, 1.7-5.0, and hazard ratio, 1.6; 95% CI, 0.9-2.8, for PiB+ APOE4 carriers and PiB+ noncarriers, respectively, compared with PiB- noncarriers). These associations were largely independent of APOE4. CONCLUSIONS AND RELEVANCE: In persons selected from a population-based study, elevated amyloid levels at baseline were associated with worse cognition and imaging biomarkers at baseline and with greater clinical decline and neurodegeneration. These results have implications for the design of randomized clinical trials for AD.
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Cognitively unimpaired individuals with abnormal amyloid biomarkers have more rapid progression of atrophy, hypometabolism, and clinical/cognitive decline than individuals without biomarker evidence of Aβ deposition.
“Numerous studies have shown that CU individuals with abnormal amyloid biomarkers have more rapid progression of atrophy, hypometabolism, and clinical/cognitive decline than individuals without biomarker evidence of Aβ deposition [13,33,80,93–99]”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [98]
The Results (Longitudinal Changes; page not available in our copy) report faster hippocampal atrophy and cognitive decline in PiB+ than PiB− individuals. They also state that change in FDG-PET, the measure of hypometabolism, was not significantly associated with amyloid status. The claim is therefore unsupported for faster progression of hypometabolism. (LLM, conf=0.92)
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McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Self-citationAlbert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · see citing works
Self-citationThe Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
Self-citationSperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155 · see citing works
Self-citationJack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Self-citationAlbert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · see citing works
Self-citationVillemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279 · see citing works
Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099 · see citing works
Self-citationBiomarker Modeling of Alzheimer’s Disease
Jack, C. R., & Holtzman, D. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.12.003 · Cited by 1,002 · see citing works
Self-citationRoberts, R. O., Geda, Y. E., Knopman, D. S., Cha, R. H., Pankratz, V. S., Boeve, B. F., Ivnik, R. J., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2008) · Neuroepidemiology · doi:10.1159/000115751 · Cited by 796 · see citing works
Self-citationThe A4 Study: Stopping AD Before Symptoms Begin?
Sperling, R. A., Rentz, D. M., Johnson, K. A., Karlawish, J. H., Donohue, M., Salmon, D. P., & Aisen, P. S. S. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007941 · Cited by 756 · see citing works
Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI
Landau, S. M., Harvey, D., Madison, C. M., Koeppe, R. A., Reiman, E. M., Foster, N. L., Weiner, M. W., & Jagust, W. J. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.07.002 · Cited by 750 · see citing works
Multimodal techniques for diagnosis and prognosis of Alzheimer's disease
Perrin, R. J., Fagan, A. M., & Holtzman, D. M. (2009) · Nature · doi:10.1038/nature08538 · Cited by 702 · see citing works
Episodic memory loss is related to hippocampal-mediated -amyloid deposition in elderly subjects
Mormino, E. C., Kluth, J. T., Madison, C. M., Rabinovici, G. D., Baker, S. L., Miller, B. L., Koeppe, R. A., Mathis, C. A., Weiner, M. W., Jagust, W. J., et al. (2009) · Brain · doi:10.1093/brain/awn320 · Cited by 684 · see citing works
Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602 · see citing works
Self-citationJack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., Bernstein, M. A., Gunter, J. L., Pankratz, V. S., Aisen, P. S., et al. (2010) · Brain · doi:10.1093/brain/awq277 · Cited by 531 · see citing works
Self-citationFreeborough, P. A., & Fox, N. C. (1997) · IEEE Transactions on Medical Imaging · doi:10.1109/42.640753 · Cited by 384 · see citing works
Chételat, G., Joie, R. L., Villain, N., Perrotin, A., Sayette, V. D. L., Eustache, F., & Vandenberghe, R. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.02.006 · Cited by 353 · see citing works
Meta-analysis of amyloid-cognition relations in cognitively normal older adults
Hedden, T., Oh, H., Younger, A. P., & Patel, T. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828ab35d · Cited by 320 · see citing works
Mayo's older Americans normative studies: updated AVLT norms for ages 56 to 97
Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1992) · Clinical Neuropsychologist · doi:10.1080/13854049208401880 · Cited by 310 · see citing works
Self-citationStorandt, M., Mintun, M. A., Head, D. M., & Morris, J. C. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.272 · Cited by 304 · see citing works
Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease
Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Ward, A. M., Huijbers, W., Rentz, D. M., Johnson, K. A., Sperling, R. A., & For the Alzheimer's Disease Neuroimaging Initiative, T. A. I. B. A. L. F. S. O. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000431 · Cited by 290 · see citing works
Mild cognitive impairment due to Alzheimer disease in the community
Petersen, R. C., Aisen, P., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Knopman, D. S., Mielke, M., Pankratz, V. S., Roberts, R., Rocca, W. A., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23931 · Cited by 265 · see citing works
Self-citationRowe, C. C., Bourgeat, P., Ellis, K. A., Brown, B., Lim, Y. Y., Mulligan, R., Jones, G., Maruff, P., Woodward, M., Price, R., et al. (2013) · Annals of Neurology · doi:10.1002/ana.24040 · Cited by 222 · see citing works
Effect of amyloid on memory and non-memory decline from preclinical to clinical Alzheimer’s disease
Lim, Y. Y., Maruff, P. T., Pietrzak, R. H., Ames, D. J., Ellis, K. A., Harrington, K., Lautenschlager, N. T., Szoeke, C. E. I., Martins, R. N., Masters, C. L., et al. (2013) · Brain · doi:10.1093/brain/awt286 · Cited by 207 · see citing works
Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity
Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Vemuri, P., Mielke, M. M., Jones, D. T., Senjem, M. L., Gunter, J. L., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000435556.21319.e4 · Cited by 200 · see citing works
Self-citationFlorbetapir F 18 amyloid PET and 36-month cognitive decline:a prospective multicenter study
AV45-A11 Study Group, Doraiswamy, P. M., Sperling, R. A., Johnson, K., Reiman, E. M., Wong, T. Z., Sabbagh, M. N., Sadowsky, C. H., Fleisher, A. S., Carpenter, A., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.9 · Cited by 195 · see citing works
Accelerated cortical atrophy in cognitively normal elderly with high β-amyloid deposition
Chételat, G., Villemagne, V. L., Villain, N., Jones, G. R., Ellis, K. A., Ames, D. J., Martins, R. N., Masters, C. L., & Rowe, C. C. (2012) · Neurology · doi:10.1212/wnl.0b013e318246d67a · Cited by 172 · see citing works
Wirth, M., Villeneuve, S., Haase, C. M., Madison, C. M., Oh, H., Landau, S. M., Rabinovici, G. D., & Jagust, W. J. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.4013 · Cited by 171 · see citing works
APOE modifies the association between Aβ load and cognition in cognitively normal older adults
Kantarci, K., Lowe, V. J., Przybelski, S. A., Weigand, S. D., Senjem, M. L., Ivnik, R. J., Preboske, G. M., Roberts, R. O., Geda, Y. E., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31824365ab · Cited by 159 · see citing works
Self-citationChételat, G., Villemagne, V. L., Pike, K. E., Ellis, K. A., Bourgeat, P., Jones, G. R., O'Keefe, G. J., Salvado, O., Szoeke, C. E. I., Martins, R. N., et al. (2011) · Brain · doi:10.1093/brain/awq383 · Cited by 153 · see citing works
Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Aβ1‐42
Schott, J. M., Bartlett, J. W., Fox, N. C., Barnes, J., & Initiative, A. D. N. (2010) · Annals of Neurology · doi:10.1002/ana.22315 · Cited by 145 · see citing works
Rates of β-amyloid accumulation are independent of hippocampal neurodegeneration
Jack, C. R., Wiste, H. J., Knopman, D. S., Vemuri, P., Mielke, M. M., Weigand, S. D., Senjem, M. L., Gunter, J. L., Lowe, V. J., Gregg, B. E., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000386 · Cited by 124 · see citing works
Self-citationStronger effect of amyloid load than APOE genotype on cognitive decline in healthy older adults
Lim, Y. Y., Ellis, K. A., Pietrzak, R. H., Ames, D. J., Darby, D., Harrington, K., Martins, R. N., Masters, C. L., Rowe, C. C., Savage, G. R., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826e9ae6 · Cited by 107 · see citing works
Pietrzak, R. H., Lim, Y. Y., Ames, D. J., Harrington, K., Restrepo, C., Martins, R. N., Rembach, A., Laws, S. M., Masters, C. L., Villemagne, V. L., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.015 · Cited by 84 · see citing works
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NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Self-citationApolipoprotein E and Alzheimer disease: pathobiology and targeting strategies
Yamazaki, Y., Zhao, N., Caulfield, T. R., Liu, C.-C., & Bu, G. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0228-7 · Cited by 1,425 · see citing works
Fricker, M., Tolkovsky, A. M., Borutaitė, V., Coleman, M. P., & Brown, G. C. (2018) · Physiological Reviews · doi:10.1152/physrev.00011.2017 · Cited by 1,122 · see citing works
A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease
Panza, F., Lozupone, M., Logroscino, G., & Imbimbo, B. P. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-018-0116-6 · Cited by 965 · see citing works
On the path to 2025: understanding the Alzheimer’s disease continuum
Aisen, P. S., Cummings, J., Jack, C. R., Morris, J. C., Sperling, R., Frölich, L., Jones, R. W., Dowsett, S. A., Matthews, B. R., Raskin, J., et al. (2017) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0283-5 · Cited by 556 · see citing works
Self-citationEvolution of prodromal Parkinson’s disease and dementia with Lewy bodies: a prospective study
Fereshtehnejad, S., Yao, C. W., Pelletier, A., Montplaisir, J. Y., Gagnon, J., & Postuma, R. B. (2019) · Brain · doi:10.1093/brain/awz111 · Cited by 373 · see citing works
Association of Factors With Elevated Amyloid Burden in Clinically Normal Older Individuals
Sperling, R. A., Donohue, M., Raman, R., Sun, C., Yaari, R., Holdridge, K. C., Siemers, E., Johnson, K. A., Aisen, P. S. S., & for the A4 Study Team (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0387 · Cited by 326 · see citing works
The impact of amyloid‐beta and tau on prospective cognitive decline in older individuals
Sperling, R. A., Mormino, E. C., Schultz, A. P., Betensky, R. A., Papp, K. V., Amariglio, R. E., Hanseeuw, B. J., Buckley, R., Chhatwal, J., Hedden, T., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25395 · Cited by 286 · see citing works
Roberts, R. O., Aakre, J. A., Kremers, W. K., Vassilaki, M., Knopman, D. S., Mielke, M. M., Alhurani, R., Geda, Y. E., Machulda, M. M., Coloma, P., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0629 · Cited by 223 · see citing works
Self-citationCurrent advances in digital cognitive assessment for preclinical Alzheimer's disease
Öhman, F., Hassenstab, J., Berron, D., Schöll, M., & Papp, K. V. (2021) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12217 · Cited by 214 · see citing works
Burnham, S. C., Bourgeat, P., Doré, V., Savage, G., Brown, B., Laws, S., Maruff, P., Salvado, O., Ames, D., Martins, R. N., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30125-9 · Cited by 207 · see citing works
Baker, J. E., Lim, Y. Y., Pietrzak, R. H., Hassenstab, J. J., Snyder, P. J., Masters, C. L., & Maruff, P. T. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.09.002 · Cited by 203 · see citing works
Mormino, E. C., Papp, K. V., Rentz, D. M., Donohue, M., Amariglio, R. E., Quiroz, Y. T., Chhatwal, J. P., Marshall, G. A., Donovan, N. J., Jackson, J., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.01.018 · Cited by 200 · see citing works
Pais, M. V., Forlenza, O. V., & Diniz, B. S. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230029 · Cited by 168 · see citing works
Grimaldi, A., Pediconi, N., Oieni, F., Pizzarelli, R., Rosito, M., Giubettini, M., Santini, T., Limatola, C., Ruocco, G., Ragozzino, D., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00925 · Cited by 153 · see citing works
Rissman, R. A., Langford, O., Raman, R., Donohue, M. C., Abdel‐Latif, S., Meyer, M. R., Wente‐Roth, T., Kirmess, K. M., Ngolab, J., Winston, C. N., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13542 · Cited by 157 · see citing works
Rabinovici, G. D., Knopman, D. S., Arbizu, J., Benzinger, T. L. S., Donohoe, K. J., Hansson, O., Herscovitch, P., Kuo, P. H., Lingler, J. H., Minoshima, S., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14338 · Cited by 151 · see citing works
Self-citationKnopman, D. S., Haeberlein, S. B., Carrillo, M. C., Hendrix, J. A., Kerchner, G., Margolin, R. A., Maruff, P. T., Miller, D. S., Tong, G., Tome, M. B., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.03.002 · Cited by 143 · see citing works
Self-citationAssociation of Cerebral Amyloid-β Aggregation With Cognitive Functioning in Persons Without Dementia
Jansen, W. J., Ossenkoppele, R., Tijms, B. M., Fagan, A. M., Hansson, O., Klunk, W. E., van der Flier, W. M., Villemagne, V. L., Frisoni, G. B., Fleisher, A., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3391 · Cited by 140 · see citing works
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Regional amyloid accumulation and cognitive decline in initially amyloid-negative adults
Farrell, M. E., Chen, X., Rundle, M. M., Chan, M. Y., Wig, G. S., & Park, D. C. (2018) · Neurology · doi:10.1212/wnl.0000000000006469 · Cited by 126 · see citing works
Uddin, M. S., Kabir, M. T., Rahman, M. S., Behl, T., Jeandet, P., Ashraf, G. M., Najda, A., Bin-Jumah, M. N., El-Seedi, H. R., & Abdel‐Daim, M. M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21165858 · Cited by 127 · see citing works
Parker, T. D., Slattery, C. F., Zhang, J., Nicholas, J. M., Paterson, R. W., Foulkes, A. J. M., Malone, I. B., Thomas, D. L., Modat, M., Cash, D. M., et al. (2018) · Human Brain Mapping · doi:10.1002/hbm.24056 · Cited by 122 · see citing works
Measuring cognition and function in the preclinical stage of Alzheimer's disease
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Entorhinal cortex tau, amyloid-β, cortical thickness and memory performance in non-demented subjects
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Self-citationAssociation of Brain Amyloid-β With Slow Gait in Elderly Individuals Without Dementia
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Detecting earlier stages of amyloid deposition using PET in cognitively normal elderly adults
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Effects of amyloid pathology and neurodegeneration on cognitive change in cognitively normal adults
Bilgel, M., An, Y., Helphrey, J. H., Elkins, W., Gómez, G., Wong, D. F., Davatzikos, C. A., Ferrucci, L., & Resnick, S. M. (2018) · Brain · doi:10.1093/brain/awy150 · Cited by 94 · see citing works
Vidoni, E. D., Morris, J. K., Watts, A. S., Perry, M., Clutton, J., Sciver, A. R. V., Kamat, A., Mahnken, J. D., Hunt, S. L., Townley, R. A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0244893 · Cited by 94 · see citing works
Dissociable influences of APOE ε4 and polygenic risk of AD dementia on amyloid and cognition
Ge, T., Sabuncu, M. R., Smoller, J. W., Sperling, R. A., Mormino, E. C., & Initiative, A. D. N. (2018) · Neurology · doi:10.1212/wnl.0000000000005415 · Cited by 90 · see citing works
Amyloid-β deposition and regional grey matter atrophy rates in dementia with Lewy bodies
Sarro, L., Senjem, M. L., Lundt, E. S., Przybelski, S. A., Lesnick, T. G., Graff-Radford, J., Boeve, B. F., Lowe, V. J., Ferman, T. J., Knopman, D. S., et al. (2016) · Brain · doi:10.1093/brain/aww193 · Cited by 89 · see citing works
Self-citationBandera, A., Taramasso, L., Bozzi, G., Muscatello, A., Robinson, J., Burdo, T., & Gori, A. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00187 · Cited by 75 · see citing works
Krell‐Roesch, J., Lowe, V. J., Neureiter, J., Pink, A., Roberts, R. O., Mielke, M. M., Vemuri, P., Stokin, G. B., Christianson, T. J. H., Jack, C. R., et al. (2017) · International Psychogeriatrics · doi:10.1017/s1041610217002368 · Cited by 81 · see citing works
Self-citationRabinovici, G. D., Knopman, D. S., Arbizu, J., Benzinger, T. L. S., Donohoe, K. J., Hansson, O., Herscovitch, P., Kuo, P. H., Lingler, J. H., Minoshima, S., et al. (2025) · Journal of Nuclear Medicine · doi:10.2967/jnumed.124.268756 · Cited by 82 · see citing works
Self-citationAssociation of Digital Clock Drawing With PET Amyloid and Tau Pathology in Normal Older Adults
Rentz, D. M., Papp, K. V., Mayblyum, D. V., Sanchez, J. S., Klein, H., Souillard‐Mandar, W., Sperling, R. A., & Johnson, K. A. (2021) · Neurology · doi:10.1212/wnl.0000000000011697 · Cited by 77 · see citing works
Amyloid, Vascular, and Resilience Pathways Associated with Cognitive Aging
Vemuri, P., Lesnick, T. G., Knopman, D. S., Przybelski, S. A., Reid, R. I., Mielke, M. M., Graff‐Radford, J., Lowe, V. J., Machulda, M. M., Petersen, R. C., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25600 · Cited by 72 · see citing works
Self-citationZavecz, Z., Shah, V. D., Murillo, O. G., Vallat, R., Mander, B. A., Winer, J. R., Jagust, W. J., & Walker, M. P. (2023) · BMC Medicine · doi:10.1186/s12916-023-02811-z · Cited by 66 · see citing works
Farrell, M. E., Papp, K. V., Buckley, R. F., Jacobs, H. I. L., Schultz, A. P., Properzi, M. J., Vannini, P., Hanseeuw, B. J., Rentz, D. M., Johnson, K. A., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200137 · Cited by 63 · see citing works
The Computerized Cognitive Composite (C3) in A4, an Alzheimer's Disease Secondary Prevention Trial
Papp, K. V., Rentz, D. M., Maruff, P. T., Sun, C., Raman, R., Donohue, M., Schembri, A. J., Stark, C. E. L., Yassa, M. A., Wessels, A. M., et al. (2021) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2020.38 · Cited by 66 · see citing works
Imbimbo, B. P., Ippati, S., Watling, M., & Imbimbo, C. (2022) · Pharmacological Research · doi:10.1016/j.phrs.2022.106631 · Cited by 66 · see citing works
Amyloid PET and cognitive decline in cognitively normal individuals: the SCIENCe project
Timmers, T., Ossenkoppele, R., Verfaillie, S. C. J., van der Weijden, C. W. J., Slot, R. E. R., Wesselman, L. M. P., Windhorst, A. D., Wolters, E. E., Yaqub, M., Prins, N. D., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.02.020 · Cited by 63 · see citing works
Shah, T. M., Gupta, S. M., Chatterjee, P., Campbell, M., & Martins, R. N. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.251 · Cited by 61 · see citing works
Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications · doi:10.1038/s41467-020-19543-w · Cited by 60 · see citing works
Hsu, D. C., Study, F. T. H. A. B., Mormino, E. C., Schultz, A. P., Amariglio, R. E., Donovan, N. J., Rentz, D. M., Johnson, K. A., Sperling, R. A., & Marshall, G. A. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150987 · Cited by 60 · see citing works
Secondary prevention of Alzheimer’s dementia: neuroimaging contributions
ten Kate, M., Ingala, S., Schwarz, A. J., Fox, N. C., Chételat, G., van Berckel, B. N. M., Ewers, M., Foley, C., Gispert, J. D., Hill, D., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0438-z · Cited by 60 · see citing works
Machulda, M. M., Hagen, C. E., Wiste, H. J., Mielke, M. M., Knopman, D. S., Roberts, R. O., Vemuri, P., Lowe, V. J., Jack, C. R., & Petersen, R. C. (2016) · The Clinical Neuropsychologist · doi:10.1080/13854046.2016.1241303 · Cited by 58 · see citing works
Self-citationClark, L. R., Koscik, R. L., Allison, S. L., Berman, S. E., Norton, D., Carlsson, C. M., Betthauser, T. J., Bendlin, B. B., Christian, B. T., Chin, N. A., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.09.008 · Cited by 57 · see citing works
Verberk, I. M. W., Hendriksen, H. M. A., van Harten, A. C., Wesselman, L. M. P., Verfaillie, S. C. J., van den Bosch, K. A., Slot, R. E. R., Prins, N. D., Scheltens, P., Teunissen, C. E., et al. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.01.007 · Cited by 57 · see citing works
Upregulation of APP endocytosis by neuronal aging drives amyloid-dependent synapse loss
Burrinha, T., Martinsson, I., Gomes, R. A., Terrasso, A. P., Gouras, G. K., & Almeida, C. G. (2021) · Journal of Cell Science · doi:10.1242/jcs.255752 · Cited by 56 · see citing works
Jack, C. R., Therneau, T. M., Lundt, E. S., Wiste, H. J., Mielke, M. M., Knopman, D. S., Graff‐Radford, J., Lowe, V. J., Vemuri, P., Schwarz, C. G., et al. (2022) · Brain Communications · doi:10.1093/braincomms/fcac017 · Cited by 55 · see citing works
Self-citationAssociation of β-Amyloid Accumulation With Executive Function in Adults With Unimpaired Cognition
Tideman, P., Stomrud, E., Leuzy, A., Mattsson, N., Palmqvist, S., Hansson, O., & Initiative, A. D. N. (2022) · Neurology · doi:10.1212/wnl.0000000000013299 · Cited by 53 · see citing works
Cued memory decline in biomarker-defined preclinical Alzheimer disease
Papp, K. V., Rentz, D. M., Mormino, E. C., Schultz, A. P., Amariglio, R. E., Quiroz, Y., Johnson, K. A., & Sperling, R. A. (2017) · Neurology · doi:10.1212/wnl.0000000000003812 · Cited by 52 · see citing works
Does selection for short sleep duration explain human vulnerability to Alzheimer’s disease?
Nesse, R. M., Finch, C. E., & Nunn, C. L. (2017) · Evolution Medicine and Public Health · doi:10.1093/emph/eow035 · Cited by 52 · see citing works
Jutten, R. J., Rentz, D. M., Fu, J. F., Mayblyum, D. V., Amariglio, R. E., Buckley, R. F., Properzi, M. J., Maruff, P. T., Stark, C. E. L., Yassa, M. A., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.800126 · Cited by 51 · see citing works
Insel, P. S., Palmqvist, S., Mackin, R. S., Nosheny, R. L., Hansson, O., Weiner, M. W., Mattsson, N., & Initiative, A. D. N. (2016) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.07.002 · Cited by 52 · see citing works
Identification of the function and mechanism of m6A reader IGF2BP2 in Alzheimer’s disease
Deng, Y., Zhu, H., Xiao, L., Liu, C., Liu, Y., & Gao, W. (2021) · Aging · doi:10.18632/aging.203652 · Cited by 49 · see citing works
Rabin, J. S., Perea, R. D., Buckley, R. F., Neal, T. E., Buckner, R. L., Johnson, K. A., Sperling, R. A., & Hedden, T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy031 · Cited by 48 · see citing works
Plasma Amyloid-β Biomarker Associated with Cognitive Decline in Preclinical Alzheimer’s Disease
Lim, Y. Y., Maruff, P. T., Kaneko, N., Doecke, J. D., Fowler, C. J., Villemagne, V. L., Kato, T., Rowe, C. C., Arahata, Y., Iwamoto, S., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200475 · Cited by 48 · see citing works
Brain amyloid load and its associations with cognition and vascular risk factors in FINGER Study
Kemppainen, N. M., Johansson, J. J., Teuho, J., Parkkola, R. K., Joutsa, J., Ngandu, T., Solomon, A., Stephen, R., Liu, Y., Hänninen, T., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004827 · Cited by 46 · see citing works
Rygiel, K. (2016) · Journal of Postgraduate Medicine · doi:10.4103/0022-3859.188553 · Cited by 45 · see citing works
A longitudinal investigation of Aβ, anxiety, depression, and mild cognitive impairment
Pink, A., Krell‐Roesch, J., Syrjanen, J. A., Vassilaki, M. E., Lowe, V. J., Vemuri, P., Stokin, G. B., Christianson, T. J. H., Kremers, W. K., Jack, C. R., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12504 · Cited by 45 · see citing works
Self-citationJack, C. R., Wiste, H. J., Algeciras‐Schimnich, A., Weigand, S. D., Figdore, D. J., Lowe, V. J., Vemuri, P., Graff‐Radford, J., Ramanan, V. K., Knopman, D. S., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13651 · Cited by 43 · see citing works
Self-citationRissman, R. A., Donohue, M., Langford, O., Raman, R., Abdel‐Latif, S., Yaari, R., Holdridge, K. C., Sims, J. R., Molina‐Henry, D. P., Jimenez‐Maggiora, G. A., et al. (2024) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2024.134 · Cited by 43 · see citing works
Lim, Y. Y., Williamson, R., Laws, S. M., Villemagne, V. L., Bourgeat, P., Fowler, C. J., Rainey‐Smith, S. R., Salvado, O., Martins, R. N., Rowe, C. C., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170072 · Cited by 40 · see citing works
Madrasi, K., Das, R., Mohmmad-Abdul, H., Lin, L., Hyman, B., Lauffenburger, D., Albers, M. W., Rissman, R., Burke, J., Apgar, J., et al. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12312 · Cited by 32 · see citing works
Tautvydaitė, D., Antonietti, J., Henry, H., von Gunten, A., & Popp, J. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.12.024 · Cited by 35 · see citing works
Late-onset unexplained epilepsy: What are we missing?
Sarkis, R. A., Willment, K., Pennell, P. B., & Marshall, G. A. (2019) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2019.106478 · Cited by 39 · see citing works
Thirunavu, V. M., McCullough, A. A., Su, Y., Flores, S. E., Dincer, A., Morris, J. C., Cruchaga, C., Benzinger, T. L. S., & Gordon, B. A. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190154 · Cited by 37 · see citing works
Ghisays, V., Goradia, D. D., Protas, H. D., Bauer, R. J., III, Devadas, V., Tariot, P. N., Lowe, V. J., Knopman, D. S., Petersen, R. C., Jack, C. R., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.08.195 · Cited by 35 · see citing works
Self-citationBos, I., Vos, S. J. B., Jansen, W. J., Vandenberghe, R. R., Gabel, S., Estanga, A., Ecay‐Torres, M., Tomassen, J., den Braber, A., Lleó, A., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00193 · Cited by 35 · see citing works
Parker, T. D., Cash, D. M., Lane, C., Lu, K., Malone, I. B., Nicholas, J. M., James, S., Keshavan, A., Murray‐Smith, H., Wong, A., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0224030 · Cited by 35 · see citing works
Wu, S. Z., Masurkar, A. V., & Balcer, L. J. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.572337 · Cited by 35 · see citing works
Papp, K. V., Rofael, H. Z., Veroff, A. E., Donohue, M., Wang, S., RANDOLPH, C. C., Grober, E. H., Brashear, H. R., Novak, G., Ernstrom, K. B., et al. (2022) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2022.17 · Cited by 35 · see citing works
Evidence-based Interpretation of Amyloid-β PET Results
Bergeron, D., Ossenkoppele, R., & Laforce, R. J. (2018) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000239 · Cited by 34 · see citing works
Dang, C., Harrington, K. D., Lim, Y. Y., Ames, D., Hassenstab, J., Laws, S. M., Yassi, N., Hickey, M., Rainey-Smith, S., Robertson, J., et al. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-180507 · Cited by 31 · see citing works
Schreiber, S., Schreiber, F., Lockhart, S. N., Horng, A., Bejanin, A., Landau, S. M., Jagust, W. J., & Initiative, A. D. N. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.5349 · Cited by 33 · see citing works
Svenningsson, A. L., Stomrud, E., Insel, P. S., Mattsson, N., Palmqvist, S., & Hansson, O. (2019) · Scientific Reports · doi:10.1038/s41598-019-47638-y · Cited by 33 · see citing works
Harvey, P. D., Cosentino, S., Curiel, R. E., Goldberg, T. E., Kaye, J. A., Loewenstein, D., Marson, D. C., Salmon, D. P., Wesnes, K. A., & Posner, H. B. (2017) · PubMed Central · Cited by 33 · see citing works
Armstrong, N. M., Huang, C.-W., Williams, O. A., Bilgel, M., An, Y., Doshi, J. J., Erus, G., Davatzikos, C. A., Wong, D. F., Ferrucci, L., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101769 · Cited by 31 · see citing works
Amyloid pathology in the progression to mild cognitive impairment
Insel, P. S., Hansson, O., Mackin, R. S., Weiner, M. W., & Mattsson, N. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.018 · Cited by 30 · see citing works
Hagberg, G., Ihle‐Hansen, H., Fure, B., Thommessen, B., Ihle‐Hansen, H., Øksengård, A. R., Beyer, M. K., Wyller, T. B., Müller, E. G., Pendlebury, S. T., et al. (2020) · BMC Neurology · doi:10.1186/s12883-020-01753-w · Cited by 30 · see citing works
Jett, S., Dyke, J. P., Andy, C., Schelbaum, E., Jang, G., Boneu, C., Pahlajani, S. S., Diaz, I., Brinton, R. D., & Mosconi, L. (2022) · Scientific Reports · doi:10.1038/s41598-022-26573-5 · Cited by 29 · see citing works
1 H-MRS metabolites and rate of β-amyloid accumulation on serial PET in clinically normal adults
Nedelská, Z., Przybelski, S. A., Lesnick, T. G., Schwarz, C. G., Lowe, V. J., Machulda, M. M., Kremers, W. K., Mielke, M. M., Roberts, R. O., Boeve, B. F., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004421 · Cited by 29 · see citing works
Self-citationJoint associations of β-amyloidosis and cortical thickness with cognition
Knopman, D. S., Lundt, E. S., Therneau, T. M., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Mielke, M. M., Machulda, M. M., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.01.017 · Cited by 28 · see citing works
Self-citationCiarmiello, A., Tartaglione, A., Giovannini, E., Riondato, M., Giovacchini, G., Ferrando, O., Biasi, M. D., Passera, C., Carabelli, E., Mannironi, A., et al. (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-4149-2 · Cited by 28 · see citing works
Biomarker-based signature of alzheimer's disease in pre-MCI individuals
Chipi, E., Salvadori, N., Farotti, L., & Parnetti, L. (2019) · Brain Sciences · doi:10.3390/brainsci9090213 · Cited by 27 · see citing works
Baker, J. E., Lim, Y. Y., Jaeger, J., Ames, D. J., Lautenschlager, N. T., Robertson, J. S., Pietrzak, R. H., Snyder, P. J., Villemagne, V. L., Rowe, C. C., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180344 · Cited by 25 · see citing works
Gagliardi, G. P., for the INSIGHT-preAD study group, Epelbaum, S., Houot, M., Bakardjian, H., Boukadida, L., Revillon, M., Dubois, B., Barba, G. D., & Corte, V. L. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180966 · Cited by 25 · see citing works
Variants inPPP2R2BandIGF2BP3are associated with higher tau deposition
Ramanan, V. K., Wang, X., Przybelski, S. A., Raghavan, S., Heckman, M. G., Batzler, A. J., Kosel, M., Hohman, T. J., Knopman, D. S., Graff‐Radford, J., et al. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa159 · Cited by 23 · see citing works
Self-citationChen, X., Farrell, M. E., Rundle, M. M., Chan, M. Y., Moore, W., Wig, G. S., & Park, D. C. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.04.020 · Cited by 24 · see citing works
The Impact of Amyloid Burden and APOE on Rates of Cognitive Impairment in Late Life Depression
Rhodes, E., Insel, P. S., Butters, M. A., Morin, R. T., Bickford, D. D., Tosun, D., Gessert, D., Rosen, H. J., Aisen, P. S. S., Raman, R., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201089 · Cited by 21 · see citing works
Self-citationTeipel, S. J., Cavedo, E., Weschke, S., Grothe, M. J., Rojkova, K., Fontaine, G., Dauphinot, L., Gonzalez-Escamilla, G., Potier, M.-C., Bertin, H., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.05.016 · Cited by 22 · see citing works
Ashford, M. T., Veitch, D. P., Neuhaus, J. M., Nosheny, R. L., Tosun, D., & Weiner, M. W. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12253 · Cited by 22 · see citing works
Biomarkers and Tools for Predicting Alzheimer’s Disease in the Preclinical Stage
Li, T.-R., Yang, Q., Hu, X., & Han, Y. (2021) · Current Neuropharmacology · doi:10.2174/1570159x19666210524153901 · Cited by 22 · see citing works
Cerebral Amyloid Deposition and Dual-Tasking in Cognitively Normal, Mobility Unimpaired Older Adults
Nadkarni, N. K., López, O. L., Perera, S., Studenski, S. A., Snitz, B. E., Erickson, K. I., Mathis, C. A., Nebes, R. D., Redfern, M. S., & Klunk, W. E. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw211 · Cited by 22 · see citing works
- Authors
- Petersen, R. C., Wiste, H. J., Weigand, S. D., Rocca, W. A., Roberts, R. O., Mielke, M. M., Lowe, V. J., Knopman, D. S., Pankratz, V. S., Machulda, M. M., Geda, Y. E., & Jack, C. R.
- Affiliations
- Mayo Clinic (US)
- ORCID
- Venue
- JAMA Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2016-01-01
- Volume
- 73
- Issue
- 1
- Pages
- 85
- ISSN
- 2168-6149 (ISSN-L)
- PMC
- PMC4710552
- OpenAlex
- W2174862691
- Cited by
- 196
- References
- 36
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 13 · 2023: 14 · 2022: 12 · 2021: 25 · 2020: 21 · 2019: 27 · 2018: 26 · 2017: 22 · 2016: 16
- FWCI
- 17.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u01ag024904-10)
- National Institute on Aging (U01-AG-024904, R01AG034676, R01AG029550, P50AG044170, R01AG043392, R01AG040042, R01AG041581, U01AG006786, R01AG011378, R01AG032306, R01AG032990, R01AG037551, R01AG041851, P50AG016574)
- National Heart, Lung, and Blood Institute (U01HL096917)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- amyloid accumulation, Alzheimer's disease, cognitively normal older adults, cognitive decline, mild cognitive impairment, hippocampal atrophy, ventriculomegaly, FDG-PET hypometabolism, Pittsburgh compound B PET, APOE ε4, amyloid biomarkers, Mayo Clinic Study of Aging, longitudinal cognitive change
- MeSH terms
- Aged, Aged, 80 and over, Brain, Cognition, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Population Surveillance, Residence Characteristics, Cohort Studies, Biomarkers, Amyloid beta-Peptides, Positron-Emission Tomography, Cognitive Dysfunction
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