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Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease
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OBJECTIVE: Assess Aβ deposition longitudinally and explore its relationship with cognition and disease progression. METHODS: Clinical follow-up was obtained 20 ± 3 months after [¹¹C]Pittsburgh compound B (PiB)-positron emission tomography in 206 subjects: 35 with dementia of the Alzheimer type (DAT), 65 with mild cognitive impairment (MCI), and 106 age-matched healthy controls (HCs). A second PiB scan was obtained at follow-up in 185 subjects and a third scan after 3 years in 57. RESULTS: At baseline, 97% of DAT, 69% of MCI, and 31% of HC subjects showed high PiB retention. At 20-month follow-up, small but significant increases in PiB standardized uptake value ratios were observed in the DAT and MCI groups, and in HCs with high PiB retention at baseline (5.7%, 2.1%, and 1.5%, respectively). Increases were associated with the number of apolipoprotein E ε4 alleles. There was a weak correlation between PiB increases and decline in cognition when all groups were combined. Progression to DAT occurred in 67% of MCI with high PiB versus 5% of those with low PiB, but 20% of the low PiB MCI subjects progressed to other dementias. Of the high PiB HCs, 16% developed MCI or DAT by 20 months and 25% by 3 years. One low PiB HC developed MCI. INTERPRETATION: Aβ deposition increases slowly from cognitive normality to moderate severity DAT. Extensive Aβ deposition precedes cognitive impairment, and is associated with ApoE genotype and a higher risk of cognitive decline in HCs and progression from MCI to DAT over 1 to 2 years. However, cognitive decline is only weakly related to change in Aβ burden, suggesting that downstream factors have a more direct effect on symptom progression.
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“and that progression of biomarker measures is also a continuous process that begins before symptoms [9–14]”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [13]
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“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 [13]
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“The ε4 allele increased brain amyloid burden in a dose-dependent manner in normal elderly individuals and in mild cognitive impairment patients [93,94].”
From Plasma levels of apolipoprotein E, APOE genotype and risk of dementia and ischemic heart disease: A review (2016) · cites this paper as [94]
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“In a study characterizing sporadic AD, for instance, Villemagne et al. used Pittsburgh compound B (PiB) positron emission tomography (PET) to show that 31% of healthy control subjects had high PiB retention indicating Aß deposition and of these, 25% developed mild cognitive impairment or AD by 3 years (Villemagne et al., 2011).”
From Inhibiting USP16 rescues stem cell aging and memory in an Alzheimer’s model (2022) · cites this paper as Villemagne et al., 2011
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“Previous longitudinal studies have either failed to detect an early increase in regional Aβ deposition16 or identified a rather large early stage Aβ region including the posterior temporal, inferior parietal, posterior cingulate, precuneus, and occipital areas4.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [16]
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Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
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
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
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
Self-citationVitamin E and Donepezil for the Treatment of Mild Cognitive Impairment
Petersen, R. C., Thomas, R. G., Grundman, M., Bennett, D., Doody, R., Ferris, S., Galasko, D., Jin, S., Kaye, J., Levey, A., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050151 · Cited by 1,844
Design and construction of a realistic digital brain phantom
Collins, D. L., Zijdenbos, A. P., Kollokian, V., Sled, J. G., Kabani, N. J., Holmes, C. J., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.712135 · Cited by 1,825
Mitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659
Correlation Between Elevated Levels of Amyloid β-Peptide in the Brain and Cognitive Decline
Näslund, J. (2000) · JAMA · doi:10.1001/jama.283.12.1571 · Cited by 1,268
Imaging β-amyloid burden in aging and dementia
Rowe, C. C., Ng, S., Ackermann, U., Gong, S. J., Pike, K., Savage, G., Cowie, T. F., Dickinson, K. L., Maruff, P., Darby, D., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000261919.22630.ea · Cited by 1,104
Self-citationJack, 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
Flagged first, then by citations
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Sorted by citations
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
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
Self-citationDementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072
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
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
Villemagne, 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
Self-citationPreclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., Bakardjian, H., Benali, H., Bertram, L., Blennow, K., et al. (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.02.002 · Cited by 1,925
Self-citationMemory aging and brain maintenance
Nyberg, L. H., Lövdén, M., Riklund, K., Lindenberger, U., & Bäckman, L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.005 · Cited by 1,347
Molecular Structure of β-Amyloid Fibrils in Alzheimer’s Disease Brain Tissue
Lu, J., Qiang, W., Yau, W., Schwieters, C. D., Meredith, S. C., & Tycko, R. (2013) · Cell · doi:10.1016/j.cell.2013.08.035 · Cited by 1,105
Biomarker 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
The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Liu, E., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.05.1769 · Cited by 1,033
Defining imaging biomarker cut points for brain aging and Alzheimer's disease
Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., Gunter, J. L., Senjem, M. L., Jones, D. T., Kantarci, K., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.005 · Cited by 931
Palmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., Blennow, K., Landau, S., Jagust, W., & Hansson, O. (2017) · Nature Communications · doi:10.1038/s41467-017-01150-x · Cited by 911
The case for rejecting the amyloid cascade hypothesis
Herrup, K. (2015) · Nature Neuroscience · doi:10.1038/nn.4017 · Cited by 768
Amyloid deposition, hypometabolism, and longitudinal cognitive decline
Landau, S. M., Mintun, M. A., Joshi, A. D., Koeppe, R. A., Petersen, R. C., Aisen, P. S. S., Weiner, M. W., Jagust, W. J., & Initiative, A. D. N. (2012) · Annals of Neurology · doi:10.1002/ana.23650 · Cited by 742
Three dimensions of the amyloid hypothesis: time, space and 'wingmen'
Musiek, E. S., & Holtzman, D. M. (2015) · Nature Neuroscience · doi:10.1038/nn.4018 · Cited by 662
Age, APOE and sex: triad of risk of Alzheimer’s disease.
Riedel, B. C., Thompson, P. M., & Brinton, R. D. (2016) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2016.03.012 · Cited by 627
Pathogenic protein seeding in Alzheimer disease and other neurodegenerative disorders
Jucker, M., & Walker, L. C. (2011) · Annals of Neurology · doi:10.1002/ana.22615 · Cited by 622
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
Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Carrillo, M. C., Hartley, D. M., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.002 · Cited by 603
Self-citationAnti-Amyloid-β Monoclonal Antibodies for Alzheimer’s Disease: Pitfalls and Promise
van Dyck, C. H. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.08.010 · Cited by 568
Testing the Right Target and Right Drug at the Right Stage
Sperling, R. A., Jack, C. R., & Aisen, P. S. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002609 · Cited by 550
The road to restoring neural circuits for the treatment of Alzheimer's disease
Canter, R. G., Penney, J., & Tsai, L.-H. (2016) · Nature · doi:10.1038/nature20412 · Cited by 565
A Plaque-Specific Antibody Clears Existing β-amyloid Plaques in Alzheimer's Disease Mice
DeMattos, R. B., Lu, J., Tang, Y., Racke, M. M., DeLong, C. A., Tzaferis, J. A., Hole, J. T., Forster, B. M., McDonnell, P. C., Liu, F., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.10.029 · Cited by 442
Smoking and increased Alzheimer's disease risk: A review of potential mechanisms
Durazzo, T. C., Mattsson, N., Weiner, M. W., & Initiative, A. D. N. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.04.009 · Cited by 501
Imaging tau and amyloid-β proteinopathies in Alzheimer disease and other conditions
Villemagne, V. L., Doré, V., Burnham, S. C., Masters, C. L., & Rowe, C. C. (2018) · Nature Reviews Neurology · doi:10.1038/nrneurol.2018.9 · Cited by 447
Self-citationVilleneuve, S., Rabinovici, G. D., Cohn-Sheehy, B. I., Madison, C., Ayakta, N., Ghosh, P. M., La Joie, R., Arthur-Bentil, S. K., Vogel, J. W., Marks, S. M., et al. (2015) · Brain · doi:10.1093/brain/awv112 · Cited by 408
Mechanism of amyloid removal in patients with Alzheimer disease treated with gantenerumab
Ostrowitzki, S. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.1538 · Cited by 431
Brain β-amyloid load approaches a plateau
Jack, C. R., Wiste, H. J., Lesnick, T. G., Weigand, S. D., Knopman, D. S., Vemuri, P., Pankratz, V. S., Senjem, M. L., Gunter, J. L., Mielke, M. M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182840bbe · Cited by 406
Optimizing Patient Care and Research: The Amsterdam Dementia Cohort
van der Flier, W. M., Pijnenburg, Y. A. L., Prins, N. D., Lemstra, A. W., Bouwman, F. H., Teunissen, C. E., van Berckel, B. N. M., Stam, C. J., Barkhof, F., Visser, P. J., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132306 · Cited by 392
Apolipoprotein E in Alzheimer's Disease: An Update
Yu, J.-T., Tan, L., & Hardy, J. (2014) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014300 · Cited by 394
Brain PET in the Diagnosis of Alzheimer’s Disease
Marcus, C. V., Mena, E., & Subramaniam, R. M. (2014) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000000547 · Cited by 405
The Amyloid Cascade Hypothesis in Alzheimer’s Disease: It’s Time to Change Our Mind
Ricciarelli, R., & Fedele, E. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170116143743 · Cited by 380
Amyloid Imaging with18F-Florbetaben in Alzheimer Disease and Other Dementias
Villemagne, V. L., Ong, K. T., Mulligan, R. S., Holl, G., Pejoska, S., Jones, G. R., O'Keefe, G. J., Ackerman, U., Tochon‐Danguy, H., Chan, J. G., et al. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.089730 · Cited by 378
Self-citationChételat, 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 363
Self-citationIn vivo radioligand binding to translocator protein correlates with severity of Alzheimer’s disease
Kreisl, W. C., Lyoo, C. H., McGwier, M., Snow, J., Jenko, K. J., Kimura, N., Corona, W., Morse, C. L., Zoghbi, S. S., Pike, V. W., et al. (2013) · Brain · doi:10.1093/brain/awt145 · Cited by 350
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348
Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Carrillo, M. C., Hartley, D. M., et al. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.113.120618 · Cited by 329
Self-citationJack, C. R., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Mielke, M. M., Lowe, V. J., Senjem, M. L., Gunter, J. L., Preboske, G. M., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70194-2 · Cited by 358
Plasma Amyloid as Prescreener for the Earliest Alzheimer Pathological Changes
Verberk, I. M. W., Slot, R. E., Verfaillie, S. C. J., Heijst, H., Prins, N. D., van Berckel, B. N. M., Scheltens, P., Teunissen, C. E., & van der Flier, W. M. (2018) · Annals of Neurology · doi:10.1002/ana.25334 · Cited by 315
Leyton, C. E., Villemagne, V. L., Savage, S. A., Pike, K. E., Ballard, K. J., Piguet, O., Burrell, J. R., Rowe, C. C., & Hodges, J. R. (2011) · Brain · doi:10.1093/brain/awr216 · Cited by 322
Self-citationSynaptic changes in Alzheimer’s disease and its models
Pozueta, J., Lefort, R., & Shelanski, M. L. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.05.050 · Cited by 319
The effects of microglia-associated neuroinflammation on Alzheimer’s disease
Wang, C., Zong, S., Cui, X., Wang, X., Wu, S., Wang, L., Liu, Y., & Lu, Z. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1117172 · Cited by 331
van Oostveen, W. M., & de Lange, E. C. M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22042110 · Cited by 297
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 295
The amyloid cascade hypothesis: an updated critical review
Kepp, K. P., Robakis, N. K. R. K., Høilund‐Carlsen, P. F., Sensi, S. L., & Vissel, B. (2023) · Brain · doi:10.1093/brain/awad159 · Cited by 315
Rowe, C. C., & Villemagne, V. L. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.076315 · Cited by 279
Self-citationNon-invasive assessment of Alzheimer’s disease neurofibrillary pathology using 18F-THK5105 PET
Okamura, N., Furumoto, S., Fodero‐Tavoletti, M. T., Mulligan, R. S., Harada, R., Yates, P. A., Pejoska, S., Kudo, Y., Masters, C. L., Yanai, K., et al. (2014) · Brain · doi:10.1093/brain/awu064 · Cited by 273
Self-citationVillain, N., Chételat, G., Grassiot, B., Bourgeat, P., Jones, G., Ellis, K. A., Ames, D., Martins, R. N., Eustache, F., Salvado, O., et al. (2012) · Brain · doi:10.1093/brain/aws125 · Cited by 255
Self-citationAtypical aging in down syndrome
Zigman, W. B. (2013) · Developmental Disabilities Research Reviews · doi:10.1002/ddrr.1128 · Cited by 262
Face-name associative memory performance is related to amyloid burden in normal elderly
Rentz, D. M., Amariglio, R. E., Becker, J. A., Frey, M., Olson, L. E., Frishe, K., Carmasin, J. S., Maye, J. E., Johnson, K. A., & Sperling, R. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.06.006 · Cited by 285
Partial volume correction in quantitative amyloid imaging
Su, Y., Blazey, T. M., Snyder, A. Z., Raichle, M. E., Marcus, D. S., Ances, B. M., Bateman, R. J., Cairns, N. J., Aldea, P., Cash, L., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.058 · Cited by 247
Self-citationShort-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease
Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182563bbe · Cited by 252
Kapogiannis, D., Mustapic, M., Shardell, M. D., Berkowitz, S. T., Diehl, T. C., Spangler, R. D., Tran, J., Lazaropoulos, M. P., Chawla, S., Gulyani, S., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.2462 · Cited by 241
Brain imaging of neurovascular dysfunction in Alzheimer’s disease
Montagne, A., Nation, D. A., Pa, J., Sweeney, M. D., Toga, A. W., & Zlokovic, B. V. (2016) · Acta Neuropathologica · doi:10.1007/s00401-016-1570-0 · Cited by 239
Dubois, B., Epelbaum, S., Nyasse, F., Bakardjian, H., Gagliardi, G. P., Uspenskaya, O., Houot, M., Lista, S., Cacciamani, F., Potier, M., et al. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30029-2 · Cited by 253
Time course of phosphorylated-tau181 in blood across the Alzheimer’s disease spectrum
Moscoso, A., Grothe, M. J., Ashton, N. J., Karikari, T. K., Rodriguez, J. L., Snellman, A., Suárez-Calvet, M., Zetterberg, H., Blennow, K., Schöll, M., et al. (2021) · Brain · doi:10.1093/brain/awaa399 · Cited by 229
Amyloid-β assessed by florbetapir F 18 PET and 18-month cognitive decline
Doraiswamy, P. M., Sperling, R. A., Coleman, R. E., Johnson, K. A., Reiman, E. M., Davis, M. D., Grundman, M., Sabbagh, M. N., Sadowsky, C., Fleisher, A., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182661f74 · Cited by 235
Amyloid imaging and CSF biomarkers in predicting cognitive impairment up to 7.5 years later
Roe, C. M., Fagan, A. M., Grant, E. A., Hassenstab, J., Moulder, K. L., Maue Dreyfus, D., Sutphen, C. L., Benzinger, T. L. S., Mintun, M. A., Holtzman, D. M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182918ca6 · Cited by 222
Clinical Validation of 18 F-AZD4694, an Amyloid-β–Specific PET Radioligand
Cselényi, Z., Eriksdotter, M., Forsberg, A., Halldin, C., Julin, P., Schou, M., Johnström, P., Varnäs, K., Svensson, S., & Farde, L. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.094029 · Cited by 225
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Counts, S. E., Ikonomovic, M. D., Mercado, N., Vega, I. E., & Mufson, E. J. (2017) · Neurotherapeutics · doi:10.1007/s13311-016-0481-z · Cited by 224
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Jack, C. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.183 · Cited by 225
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Watanabe‐Nakayama, T., Ono, K., Itami, M., Takahashi, R., Teplow, D. B., & Yamada, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1524807113 · Cited by 217
Morris, G. P., Clark, I. A., & Vissel, B. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1918-8 · Cited by 212
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Coupé, P., Manjón, J. V., Lanuza, E., & Catheline, G. (2019) · Scientific Reports · doi:10.1038/s41598-019-39809-8 · Cited by 226
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Self-citationMorris, J. C., Aisen, P. S. S., Bateman, R. J., Benzinger, T. L. S., Cairns, N. J., Fagan, A. M., Ghetti, B. F., Goate, A., Holtzman, D. M., Klunk, W. E., et al. (2012) · Clinical Investigation · doi:10.4155/cli.12.93 · Cited by 211
Self-citationSmailagic, N., Vacante, M., Hyde, C., Martin, S., Ukoumunne, O. C., & Sachpekidis, C. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd010632.pub2 · Cited by 235
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Ebenau, J. L., Timmers, T., Wesselman, L. M. P., Verberk, I. M. W., Verfaillie, S. C. J., Slot, R. E. R., van Harten, A. C., Teunissen, C. E., Barkhof, F., van den Bosch, K. A., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009724 · Cited by 191
Fleisher, A. S., Chen, K., Liu, X., Ayutyanont, N., Roontiva, A., Thiyyagura, P., Protas, H., Joshi, A. D., Sabbagh, M., Sadowsky, C. H., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.04.017 · Cited by 202
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Malpetti, M., Kievit, R. A., Passamonti, L., Jones, P. S., Tsvetanov, K. A., Rittman, T., Mak, E., Nicastro, N., Bevan-Jones, W. R., Su, L., et al. (2020) · Brain · doi:10.1093/brain/awaa088 · Cited by 194
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Brier, M. R., Thomas, J., & Ances, B. M. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0236 · Cited by 203
Buckley, R. F., Maruff, P. T., Ames, D. J., Bourgeat, P., Martins, R. N., Masters, C. L., Rainey‐Smith, S. R., Lautenschlager, N. T., Rowe, C. C., Savage, G. R., et al. (2016) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.12.013 · Cited by 205
Self-citationvan Harten, A. C., Visser, P. J., Pijnenburg, Y. A. L., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.08.004 · Cited by 197
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Self-citationRowe, C. C., Pejoska, S., Mulligan, R. S., Jones, G. R., Chan, J. G., Svensson, S., Cselényi, Z., Masters, C. L., & Villemagne, V. L. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.114785 · Cited by 195
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Neumann, U., Ufer, M., Jacobson, L. H., Rouzade‐Dominguez, M., Huledal, G., Kolly, C., Lüönd, R. M., Machauer, R., Veenstra, S. J., Hurth, K., et al. (2018) · EMBO Molecular Medicine · doi:10.15252/emmm.201809316 · Cited by 177
“Recent evidence that Ab deposition and measurable changes in brain biomarkers occur years before dementia symptoms appear suggests that in these trials, treatment was given too late during the course of the disease to be effective (Villemagne et al, 2011; Jack et al, 2013; Jones et al, 2016).”
BackgroundBrookmeyer, R., & Abdalla, N. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.03.005 · Cited by 176
Florbetapir F 18 amyloid PET and 36-month cognitive decline:a prospective multicenter study
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Valotassiou, V., Malamitsi, J., Papatriantafyllou, J., Dardiotis, E., Tsougos, I., Psimadas, D., Alexiou, S., Hadjigeorgiou, G., & Georgoulias, P. (2018) · Annals of Nuclear Medicine · doi:10.1007/s12149-018-1292-6 · Cited by 169
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PET amyloid-beta imaging in preclinical Alzheimer's disease
Vlassenko, A. G., Benzinger, T. L. S., & Morris, J. C. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.11.005 · Cited by 188
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Sepulcre, J., Schultz, A. P., Sabuncu, M. R., Gómez‐Isla, T., Chhatwal, J. P., Becker, A., Sperling, R. A., & Johnson, K. A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0639-16.2016 · Cited by 182
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 176
Self-citationIn vivo evaluation of a novel tau imaging tracer for Alzheimer’s disease
Villemagne, V. L., Furumoto, S., Fodero‐Tavoletti, M. T., Mulligan, R. S., Hodges, J. R., Harada, R., Yates, P. A., Piguet, O., Pejoska, S., Doré, V., et al. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-013-2681-7 · Cited by 173
Self-citationLongitudinal change in CSF Tau and Aβ biomarkers for up to 48 months in ADNI
Toledo, J. B., Xie, S. X., Trojanowski, J. Q., & Shaw, L. M. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1151-4 · Cited by 180
Synaptic Change in the Posterior Cingulate Gyrus in the Progression of Alzheimer's Disease
Scheff, S. W., PRICE, D. A., Ansari, M. A., Roberts, K. N., Schmitt, F. A., Ikonomović, M. D., & Mufson, E. J. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141518 · Cited by 169
Fowler, C., Rainey-Smith, S. R., Bird, S., Bomke, J., Bourgeat, P., Brown, B. M., Burnham, S. C., Bush, A. I., Chadunow, C., Collins, S., et al. (2021) · Journal of Alzheimer's Disease Reports · doi:10.3233/adr-210005 · Cited by 164
Self-citationVogel, J. W., Corriveau‐Lecavalier, N., Franzmeier, N., Pereira, J. B., Brown, J. A., Maaß, A., Botha, H., Seeley, W. W., Bassett, D. S., Jones, D. T., et al. (2023) · Nature reviews. Neuroscience · doi:10.1038/s41583-023-00731-8 · Cited by 180
Longitudinal imaging of Alzheimer pathology using [11C]PIB, [18F]FDDNP and [18F]FDG PET
Ossenkoppele, R., Tolboom, N., Foster‐Dingley, J. C., Adriaanse, S. F., Boellaard, R., Yaqub, M. M., Windhorst, A. D., Barkhof, F., Lammertsma, A. A., Scheltens, P., et al. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2102-3 · Cited by 164
Mormino, E. C., Brandel, M. G., Madison, C. M., Rabinovici, G. D., Marks, S., Baker, S. L., & Jagust, W. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.098 · Cited by 158
Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE ε4 genotype
Mishra, S., Blazey, T. M., Holtzman, D. M., Cruchaga, C., Su, Y., Morris, J. C., Benzinger, T. L. S., & Gordon, B. A. (2018) · Brain · doi:10.1093/brain/awy103 · Cited by 151
Metadata
- Authors
- Villemagne, V. L., Pike, K. E., Chételat, G., Ellis, K. A., Mulligan, R. S., Bourgeat, P., Ackermann, U., Jones, G., Szoeke, C., Salvado, O., Martins, R., O'Keefe, G., Mathis, C. A., Klunk, W. E., Ames, D., Masters, C. L., & Rowe, C. C.
- Affiliations
- Mental Health Research Institute (AU)
- Austin Health (AU)
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Australian e-Health Research Centre (AU)
- Edith Cowan University (AU)
- University of Pittsburgh (US)
- National Ageing Research Institute (AU)
- The University of Melbourne (AU)
- Corresponding author
- Villemagne, Victor L.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2011-01
- Volume
- 69
- Issue
- 1
- Pages
- 181-192
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC3045039
- OpenAlex
- W2051489981
- Cited by
- 833
- References
- 42
- Citations by year
- 2026: 28 · 2025: 32 · 2024: 26 · 2023: 51 · 2022: 42 · 2021: 44 · 2020: 57 · 2019: 60 · 2018: 57 · 2017: 57 · 2016: 60 · 2015: 61 · 2014: 68 · 2013: 86 · 2012: 71
- FWCI
- 57.02
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UWA Profiles and Research Repository (UWA) (submittedVersion)
- Edith Cowan University Research Online (Edith Cowan University) (submittedVersion)
- Funders
- National Institute on Aging (P01AG025204, RF1AG025516, P50AG005133, R37AG025516)
- 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
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- amyloid-beta deposition, Alzheimer's disease, mild cognitive impairment, Pittsburgh compound B PET, APOE ε4, cognitive decline, disease progression, aging
- MeSH terms
- Aged, Aging, Alzheimer Disease, Aniline Compounds, Brain, Cognition, Cognition Disorders, Female, Follow-Up Studies, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Polymorphism, Genetic, Severity of Illness Index, Thiazoles, Amyloid beta-Peptides, Disease Progression, Positron-Emission Tomography, Plaque, Amyloid
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