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Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease
Open accessAbstract
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
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Items 101–200 of 836
Croot, K., Ballard, K. J., Leyton, C. E., & Hodges, J. R. (2012) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2012/11-0323 · Cited by 156
Mormino, E. C., Brandel, M. G., Madison, C. M., Marks, S. M., Baker, S. L., & Jagust, W. J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr255 · Cited by 151
The diagnostic value of FDG and amyloid PET in Alzheimer’s disease—A systematic review
Rice, L., & Bisdas, S. (2017) · European Journal of Radiology · doi:10.1016/j.ejrad.2017.07.014 · Cited by 156
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 163
Rainey-Smith, S. R., Mazzucchelli, G. N., Villemagne, V. L., Brown, B. M., Porter, T., Weinborn, M., Bucks, R. S., Milicic, L., Sohrabi, H. R., Taddei, K., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0094-x · Cited by 144
Self-citationUshering in the study and treatment of preclinical Alzheimer disease
Langbaum, J. B. S., Fleisher, A., Chen, K., Ayutyanont, N., Lopera, F. J., Quiroz, Y. T., Caselli, R. J., Tariot, P. N., & Reiman, E. M. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2013.107 · Cited by 149
Shapes of the Trajectories of 5 Major Biomarkers of Alzheimer Disease
Jack, C. R., Vemuri, P., Wiste, H. J., Weigand, S. D., Lesnick, T. G., Lowe, V., Kantarci, K., Bernstein, M. A., Senjem, M. L., Gunter, J. L., et al. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.3405 · Cited by 145
Vlassenko, A. G., Mintun, M. A., Xiong, C., Sheline, Y. I., Goate, A., Benzinger, T. L. S., & Morris, J. C. (2011) · Annals of Neurology · doi:10.1002/ana.22608 · Cited by 148
Disease Tracking Markers for Alzheimer's Disease at the Prodromal (MCI) Stage
Drago, V., Babiloni, C., Bartrés‐Faz, D., Caroli, A., Bosch, B., Hensch, T., Didic, M., Klafki, H., Pievani, M., Jovicich, J., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0043 · Cited by 144
Dominantly Inherited Alzheimer Network: facilitating research and clinical trials
Moulder, K. L., Snider, B., Mills, S. L., Buckles, V. D., Santacruz, A. M., Bateman, R. J., & Morris, J. C. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt213 · Cited by 142
Cortical hypermetabolism in MCI subjects: a compensatory mechanism?
Ashraf, A., Fan, Z., Brooks, D. J., & Edison, P. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-014-2919-z · Cited by 143
Amyloid tracers detect multiple binding sites in Alzheimer's disease brain tissue
Ni, R., Gillberg, P., Bergfors, A., Marutle, A., & Nordberg, A. K. (2013) · Brain · doi:10.1093/brain/awt142 · Cited by 135
Sabuncu, M. R., Buckner, R. L., Smoller, J. W., Lee, P. H., Fischl, B. R., & Sperling, R. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr348 · Cited by 134
Brain imaging in the study of Alzheimer's disease
Reiman, E. M., & Jagust, W. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.075 · Cited by 139
Effect of APOE ε4 genotype on amyloid-β and tau accumulation in Alzheimer’s disease
Baek, M. S., Cho, H., Lee, H. S., Lee, J., Ryu, Y. H., & Lyoo, C. H. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00710-6 · Cited by 137
Comparison of MR-less PiB SUVR quantification methods
Bourgeat, P., Villemagne, V. L., Doré, V., Brown, B. M., Macaulay, S. L., Martins, R. N., Masters, C. L., Ames, D. J., Ellis, K. A., Rowe, C. C., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.04.033 · Cited by 131
Self-citationMartins, R. N., Villemagne, V., Sohrabi, H. R., Chatterjee, P., Shah, T. M., Verdile, G., Fraser, P., Taddei, K., Gupta, V. B., Rainey-Smith, S. R., et al. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-171145 · Cited by 129
Self-citationTrzepacz, P. T., Yu, P., Sun, J., Schuh, K. J., Case, M. G., Witte, M. M., Hochstetler, H. M., & Hake, A. M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.06.018 · Cited by 131
Varied 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
Cerebrovascular disease, beta-amyloid, and cognition in aging
Marchant, N. L., Reed, B. R., DeCarli, C. S., Madison, C. M., Weiner, M. W., Chui, H. C., & Jagust, W. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.10.001 · Cited by 127
Schmidt, M. E., Chiao, P., Klein, G., Matthews, D. C., Thurfjell, L., Cole, P. E., Margolin, R. A., Landau, S. M., Foster, N. L., Mason, N. S., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.09.004 · Cited by 125
Rasmussen, K. L. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.10.037 · Cited by 125
BDNF Val66Met, Aβ amyloid, and cognitive decline in preclinical Alzheimer's disease
Lim, Y. Y., Villemagne, V. L., Laws, S. M., Ames, D., Pietrzak, R. H., Ellis, K. A., Harrington, K. D., Bourgeat, P., Salvado, O., Darby, D., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.05.006 · Cited by 124
Self-citationLeuzy, A., Janelidze, S., Mattsson-Carlgren, N., Palmqvist, S., Jacobs, D., Cicognola, C., Stomrud, E., Vanmechelen, E., Dage, J. L., & Hansson, O. (2021) · Neurology · doi:10.1212/wnl.0000000000012727 · Cited by 128
Basal forebrain atrophy correlates with amyloid β burden in Alzheimer's disease
Kerbler, G. M., Fripp, J., Rowe, C. C., Villemagne, V. L., Salvado, O., Rose, S., & Coulson, E. J. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.11.015 · Cited by 128
Self-citationTau imaging in neurodegenerative diseases
Dani, M., Brooks, D. J., & Edison, P. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3231-2 · Cited by 128
Majdi, A., Sadigh‐Eteghad, S., Aghsan, S. R., Farajdokht, F., Vatandoust, S. M., Abbas-Abad, A. N., & Mahmoudi, J. (2020) · Reviews in the Neurosciences · doi:10.1515/revneuro-2019-0089 · Cited by 130
Sperling, R. A., Johnson, K. A., Doraiswamy, P. M., Reiman, E. M., Fleisher, A., Sabbagh, M. N., Sadowsky, C., Carpenter, A. P., Davis, M. D., Lu, M., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.06.014 · Cited by 127
The aging brain and cognition: contribution of vascular injury and aβ to mild cognitive dysfunction
Marchant, N. L., Reed, B. R., Sanossian, N., Madison, C. M., Kriger, S., Dhada, R., Mack, W. J., DeCarli, C., Weiner, M. W., Mungas, D. M., et al. (2013) · JAMA Neurology · doi:10.1001/2013.jamaneurol.405 · Cited by 106
Small-molecule PET Tracers for Imaging Proteinopathies
Mathis, C. A., Lopresti, B. J., Ikonomović, M. D., & Klunk, W. E. (2017) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2017.06.003 · Cited by 124
Self-citationCerebrospinal Fluid Biomarkers of Neurovascular Dysfunction in Mild Dementia and Alzheimer'S Disease
Sweeney, M. D., Sagare, A. P., & Zlokovic, B. V. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.76 · Cited by 122
Zhang, S., Han, D., Tan, X., Feng, J., Guo, Y., & Ding, Y. (2012) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2011.02845.x · Cited by 123
Blood-Based Proteomic Biomarkers of Alzheimer’s Disease Pathology
Baird, A. L., Westwood, S., & Lovestone, S. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2015.00236 · Cited by 122
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
In vivo characterization of the early states of the amyloid-beta network
Sepulcre, J., Sabuncu, M. R., Becker, A., Sperling, R., & Johnson, K. A. (2013) · Brain · doi:10.1093/brain/awt146 · Cited by 117
Hippocampal activation is associated with longitudinal amyloid accumulation and cognitive decline
Leal, S. L., Landau, S. M., Bell, R. K., & Jagust, W. J. (2017) · eLife · doi:10.7554/elife.22978 · Cited by 117
Yokoi, T., Watanabe, H., Yamaguchi, H., Bagarinao, E., Masuda, M., Imai, K., Ogura, A., Ohdake, R., Kawabata, K., Hara, K., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00304 · Cited by 116
Cerebral microhemorrhage and brain β-amyloid in aging and Alzheimer disease
Yates, P. A., Sirisriro, R., Villemagne, V. L., Farquharson, S., Masters, C. L., Rowe, C. C., & For the AIBL Research Group (2011) · Neurology · doi:10.1212/wnl.0b013e318221ad36 · Cited by 130
Self-citationRegional brain hypometabolism is unrelated to regional amyloid plaque burden
Altmann, A., Ng, B., Landau, S. M., Jagust, W. J., & Greicius, M. D. (2015) · Brain · doi:10.1093/brain/awv278 · Cited by 117
Teipel, S. J., Grothe, M. J., Zhou, J. H., Sepulcre, J., Dyrba, M., Sorg, C., & Babiloni, C. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000995 · Cited by 117
Aβ-amyloid and Tau Imaging in Dementia
Villemagne, V. L., Doré, V., Bourgeat, P., Burnham, S. C., Laws, S., Salvado, O., Masters, C. L., & Rowe, C. C. (2017) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2016.09.006 · Cited by 110
Self-citationDifferential effect of APOE genotype on amyloid load and glucose metabolism in AD dementia
Ossenkoppele, R., van der Flier, W. M., Zwan, M. D., Adriaanse, S. F., Boellaard, R., Windhorst, A. D., Barkhof, F., Lammertsma, A. A., Scheltens, P., & van Berckel, B. N. M. (2013) · Neurology · doi:10.1212/wnl.0b013e31827f0889 · Cited by 112
Lundqvist, R., Lilja, J., Thomas, B. A., Lötjönen, J. M. P., Villemagne, V. L., Rowe, C. C., & Thurfjell, L. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.112.115006 · Cited by 110
Self-citationLim, Y. Y., Villemagne, V. L., Laws, S. M., Ames, D., Pietrzak, R. H., Ellis, K. A., Harrington, K., Bourgeat, P., Bush, A. I., Martins, R. N., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086498 · Cited by 110
Self-citationPhonologic errors as a clinical marker of the logopenic variant of PPA
Leyton, C. E., Ballard, K. J., Piguet, O., & Hodges, J. R. (2014) · Neurology · doi:10.1212/wnl.0000000000000387 · Cited by 118
In vivo visualization of tau deposits in corticobasal syndrome by 18 F-THK5351 PET
Kikuchi, A., Okamura, N., Hasegawa, T., Harada, R., Watanuki, S., Funaki, Y., Hiraoka, K., Baba, T., Sugeno, N., Oshima, R., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000003375 · Cited by 113
Lim, Y. Y., Jaeger, J., Harrington, K., Ashwood, T., Ellis, K. A., Stöffler, A., Szoeke, C. E. I., Lachovitzki, R., Martins, R. N., Villemagne, V. L., et al. (2013) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/act021 · Cited by 117
Self-citationCaselli, R. J., & Reiman, E. M. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-129026 · Cited by 111
Scoring by nonlocal image patch estimator for early detection of Alzheimer's disease
Pierrick Coupé, A., Eskildsen, S. F., Manjón, J. V., Fonov, V., Pruessner, J. C., Michèle Allard, A., & Collins, D. L. (2012) · NeuroImage Clinical · doi:10.1016/j.nicl.2012.10.002 · Cited by 109
Insel, P. S., Mormino, E. C., Aisen, P. S. S., Thompson, W. K., & Donohue, M. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa007 · Cited by 112
Alzheimer’s Disease: Biomarkers in the Genome, Blood, and Cerebrospinal Fluid
Huynh, R. A., & Mohan, C. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00102 · Cited by 112
Chiotis, K., Saint‐Aubert, L., Rodriguez‐Vieitez, E., Leuzy, A., Almkvist, O., Savitcheva, I., Jonasson, M., Lubberink, M., Wall, A., Antoni, G., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.108 · Cited by 112
Stronger 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 109
Self-citationAcosta‐Cabronero, J., & Nestor, P. J. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00266 · Cited by 109
Imaging and cerebrospinal fluid biomarkers in early preclinical alzheimer disease
Vlassenko, A. G., McCue, L., Jasielec, M. S., Su, Y., Gordon, B. A., Xiong, C., Holtzman, D. M., Benzinger, T. L. S., Morris, J. C., & Fagan, A. M. (2016) · Annals of Neurology · doi:10.1002/ana.24719 · Cited by 106
Fluid and PET biomarkers for amyloid pathology in Alzheimer's disease
Cohen, A. D., Landau, S. M., Snitz, B. E., Klunk, W. E., Blennow, K., & Zetterberg, H. (2018) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.12.004 · Cited by 112
Self-citationBallard, K. J., Savage, S., Leyton, C. E., Vogel, A. P., Hornberger, M., & Hodges, J. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089864 · Cited by 105
APOE-related biomarker profiles in non-pathological aging and early phases of Alzheimer's disease
Reinvang, I., Espeseth, T., & Westlye, L. T. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.05.006 · Cited by 109
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Scheffer, S., Hermkens, D. M. A., van der Weerd, L., de Vries, H. E., & Daemen, M. J. A. P. (2021) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.120.311911 · Cited by 113
Ritchie, K. A., Carrière, I., Su, L., O'Brien, J. T., Lovestone, S., Wells, K., & Ritchie, C. W. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.02.008 · Cited by 108
O’Dell, R. S., Mecca, A. P., Chen, M.-K., Naganawa, M., Toyonaga, T., Lu, Y., Godek, T. A., Harris, J. E., Bartlett, H. H., Banks, E. R., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00742-y · Cited by 107
Doré, V., Bullich, S., Rowe, C. C., Bourgeat, P., Konate, S., Sabri, O., Stephens, A. W., Barthel, H., Fripp, J., Masters, C. L., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.02.005 · Cited by 93
Self-citationSchütt, T., Helboe, L., Pedersen, L. Ø., Waldemar, G., Berendt, M., & Pedersen, J. T. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-151085 · Cited by 105
Plasma Aβ but Not Tau is Related to Brain PiB Retention in Early Alzheimer’s Disease
Tzen, K., Yang, S., Chen, T., Cheng, T.-W., Horng, H. E., Wen, H.-P., Huang, Y.-Y., Shiue, C., & Chiu, M. (2014) · ACS Chemical Neuroscience · doi:10.1021/cn500101j · Cited by 105
PET Neuroimaging of Alzheimer's Disease: Radiotracers and Their Utility in Clinical Research
Bao, W., Xie, F., Zuo, C., Guan, Y., & Huang, Y. H. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.624330 · Cited by 102
Is the Amyloid Hypothesis of Alzheimer's disease therapeutically relevant?
Teich, A. F., & Arancio, O. (2012) · Biochemical Journal · doi:10.1042/bj20120653 · Cited by 105
Altered whole-brain white matter networks in preclinical Alzheimer's disease
Fischer, F. U., Wolf, D., Scheurich, A., & Fellgiebel, A. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.06.007 · Cited by 105
Review of ‘the Potential Role of Arterial Stiffness in the Pathogenesis of Alzheimer’s Disease’
Hughes, T. M., Craft, S., & López, O. L. (2015) · Neurodegenerative Disease Management · doi:10.2217/nmt.14.53 · Cited by 105
Thal, D. R., Attems, J., & Ewers, M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141461 · Cited by 100
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Wei, Z., Chen, X.-C., Song, Y., Pan, X.-D., Dai, X.-M., Zhang, J., Cui, X.-L., Wu, X.-L., & Zhu, Y.-G. (2016) · Chinese Medical Journal · doi:10.4103/0366-6999.186646 · Cited by 89
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Hou, T., Yang, H., Wang, W., Wu, Q., Tian, Y., & Jia, J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-171110 · Cited by 85
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van der Kall, L. M., Truong, T. H., Burnham, S. C., Doré, V., Mulligan, R. S., Bozinovski, S., Lamb, F., Bourgeat, P., Fripp, J., Schultz, S. A., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000011222 · Cited by 84
Self-citationSoldan, A., Pettigrew, C. A., Li, S., Wang, M., Moghekar, A., Selnes, O. A., Albert, M., & O’Brien, R. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.06.017 · Cited by 89
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Fouquet, M., Besson, F. L., Gonneaud, J., Joie, R. L., & Chételat, G. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9263-8 · Cited by 89
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Lawrence, E., Vegvari, C., Ower, A. K., Hadjichrysanthou, C., de Wolf, F., & Anderson, R. M. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170261 · Cited by 89
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Verstraete, E., Turner, M. R., Großkreutz, J., Filippi, M., Benatar, M. G., & meeting, O. B. O. T. A. O. T. 4. N. (2015) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.3109/21678421.2015.1051989 · Cited by 80
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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