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Independent information from cerebrospinal fluid amyloid-β and florbetapir imaging in Alzheimer's disease
Open accessAbstract
Reduced cerebrospinal fluid amyloid-β42 and increased retention of florbetapir positron emission tomography are biomarkers reflecting cortical amyloid load in Alzheimer's disease. However, these measurements do not always agree and may represent partly different aspects of the underlying Alzheimer's disease pathology. The goal of this study was therefore to test if cerebrospinal fluid and positron emission tomography amyloid-β biomarkers are independently related to other Alzheimer's disease markers, and to examine individuals who are discordantly classified by these two biomarker modalities. Cerebrospinal fluid and positron emission tomography amyloid-β were measured at baseline in 769 persons [161 healthy controls, 68 subjective memory complaints, 419 mild cognitive impairment and 121 Alzheimer's disease dementia, mean age 72 years (standard deviation 7 years), 47% females] and used to predict diagnosis, APOE ε4 carriage status, cerebral blood flow, cerebrospinal fluid total-tau and phosphorylated-tau levels (cross-sectionally); and hippocampal volume, fluorodeoxyglucose positron emission tomography results and Alzheimer's Disease Assessment Scale-cognitive subscale scores (longitudinally). Cerebrospinal fluid and positron emission tomography amyloid-β were highly correlated, but adjusting one of these predictors for the other revealed that they both provided partially independent information when predicting diagnosis, APOE ε4, hippocampal volume, metabolism, cognition, total-tau and phosphorylated-tau (the 95% confidence intervals of the adjusted effects did not include zero). Cerebrospinal fluid amyloid-β was more strongly related to APOE ε4 whereas positron emission tomography amyloid-β was more strongly related to tau levels (P < 0.05). Discordance (mainly isolated cerebrospinal fluid amyloid-β positivity) differed by diagnostic group (P < 0.001) and was seen in 21% of cognitively healthy people but only 6% in dementia patients. The finding that cerebrospinal fluid and positron emission tomography amyloid-β provide partially independent information about a wide range of Alzheimer's measures supports the theory that these modalities represent partly different aspects of Alzheimer's pathology. The fact that mismatch, with positive cerebrospinal fluid amyloid-β but normal positron emission tomography amyloid-β, is relatively common in cognitively healthy people may be considered when using these biomarkers to identify early stage Alzheimer's disease. Reduced cerebrospinal fluid amyloid-β may be more strongly related to early stage Alzheimer's disease, whereas increased positron emission tomography amyloid-β may be more strongly related to disease progression.
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“Previous cross-sectional studies indicate that Aβ42 levels decrease in the CSF as Aβ starts to accumulate, before fibrillar plaques can be detected with PET7–11.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [10]
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“This may be due to a temporal offset between these two measures [121–123].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [121]
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Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
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
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Albert, 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 · cited 1×
“Alzheimer’s disease and biomarker evidence of brain amyloid-b have been included in Alzheimer’s disease research criteria (Albert et al., 2011; McKhann et al., 2011; Sperling et al., 2011; Dubois et al., 2014).”
Self-citationFischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Sperling, 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
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
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347
Self-citationAutomatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208
Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321
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 2,643
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
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065
Self-citationCerebrospinal fluid and plasma biomarkers in Alzheimer disease
Blennow, K., Hampel, H., Weiner, M., & Zetterberg, H. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2010.4 · Cited by 1,863
Self-citationCerebral Arterial Pulsation Drives Paravascular CSF–Interstitial Fluid Exchange in the Murine Brain
Iliff, J. J., Wang, M., Zeppenfeld, D. M., Venkataraman, A., Plog, B. A., Liao, Y., Deane, R., & Nedergaard, M. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.1592-13.2013 · Cited by 1,319 · cited 1×
“For example, it could be related to arterial blood flow regulating the CSF-brain interstitial fluid exchange (Iliff et al ., 2013).”
CSF markers for incipient Alzheimer's disease
Blennow, K., & Hampel, H. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00530-1 · Cited by 1,291
Self-citationInverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ 42 in humans
Fagan, A. M., Mintun, M. A., Mach, R. H., Lee, S., Dence, C. S., Shah, A. R., LaRossa, G. N., Spinner, M. L., Klunk, W. E., Mathis, C. A., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20730 · Cited by 1,246
Use of Florbetapir-PET for Imaging β-Amyloid Pathology
Clark, C. M. (2011) · JAMA · doi:10.1001/jama.2010.2008 · Cited by 1,117
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Ikonomovic, M. D., Klunk, W. E., Abrahamson, E. E., Mathis, C. A., Price, J. C., Tsopelas, N. D., Lopresti, B. J., Ziolko, S., Bi, W., Paljug, W. R., et al. (2008) · Brain · doi:10.1093/brain/awn016 · Cited by 933
Apolipoprotein E in Alzheimer’s disease and other neurological disorders
Verghese, P. B., Castellano, J. M., & Holtzman, D. M. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70325-2 · Cited by 857 · cited 2×
“…a role for APOE e 4 in amyloid-b metabolism that goes beyond fibril-lar amyloid-b , perhaps including formation of other types of aggregates, such as amyloid-b oligomers, or epitope masking due to binding of amyloid-b with chaperoning APOE protein (Verghese et al ., 2011; Slemmon et al ., 2012).”
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
Self-citationAmyloid 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
Self-citationPET imaging of amyloid deposition in patients with mild cognitive impairment
Forsberg, A., Engler, H., Almkvist, O., Blomquist, G., Hagman, G., Wall, A. E., Ringheim, A., Långström, B., & Nordberg, A. K. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.03.029 · Cited by 725
Reiman, E. M., Quiroz, Y. T., Fleisher, A. S., Chen, K., Velez-Pardo, C., Jimenez-Del-Rio, M., Fagan, A. M., Shah, A. R., Alvarez, S., Arbelaez, A., et al. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70228-4 · Cited by 541
Diagnosis-Independent Alzheimer Disease Biomarker Signature in Cognitively Normal Elderly People
De Meyer, G. (2010) · Archives of Neurology · doi:10.1001/archneurol.2010.179 · Cited by 462
Olsson, A., Vanderstichele, H., Andreasen, N., Meyer, G. D., Wallin, A., Holmberg, B., Rosengren, L., Vanmechelen, E., & Blennow, K. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.039347 · Cited by 431
Self-citationThe Alzheimer's Association external quality control program for cerebrospinal fluid biomarkers
Mattsson, N., Andréasson, U., Persson, S., Arai, H., Batish, S. D., Bernardini, S., Bocchio‐Chiavetto, L., Blankenstein, M. A., Carrillo, M. C., Chalbot, S., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.2243 · Cited by 411
Self-citationJoshi, A. D., Pontecorvo, M. J., Clark, C. M., Carpenter, A. P., Jennings, D. L., Sadowsky, C., Adler, L. P., Kovnat, K. D., Seibyl, J. P., Arora, A., et al. (2012) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.090340 · Cited by 401
Comparing positron emission tomography imaging and cerebrospinal fluid measurements of β‐amyloid
Landau, S. M., Lu, M., Joshi, A. D., Pontecorvo, M., Mintun, M. A., Trojanowski, J. Q., Shaw, L. M., Jagust, W. J., & Initiative, F. T. A. D. N. (2013) · Annals of Neurology · doi:10.1002/ana.23908 · Cited by 401
Self-citationCSF biomarker variability in the Alzheimer's Association quality control program
Mattsson, N., Andréasson, U., Persson, S., Carrillo, M. C., Collins, S. J., Chalbot, S., Cutler, N. E., Dufour‐Rainfray, D., Fagan, A. M., Heegaard, N. H. H., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.01.010 · Cited by 389
Self-citationPalmqvist, S., Zetterberg, H., Blennow, K., Vestberg, S., Andreasson, U., Brooks, D. J., Owenius, R., Hägerström, D., Wollmer, P., Minthon, L., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1358 · Cited by 368
Self-citationFagan, A. M., Mintun, M. A., Shah, A. R., Aldea, P., Roe, C. M., Mach, R. H., Marcus, D., Morris, J. C., & Holtzman, D. M. (2009) · EMBO Molecular Medicine · doi:10.1002/emmm.200900048 · Cited by 353
May, P. C., Dean, R. A., Lowe, S. L., Martenyi, F., Sheehan, S. M., Boggs, L. N., Monk, S. A., Mathes, B. M., Mergott, D. J., Watson, B. M., et al. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3647-11.2011 · Cited by 336
Hansson, O., Zetterberg, H., Buchhave, P., Andréasson, U., Londos, E., Minthon, L., & Blennow, K. (2007) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000100926 · Cited by 303
Self-citationPreferential Origin and Layer Destination of GAD65-GFP Cortical Interneurons
López‐Bendito, G. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh072 · Cited by 288
Grimmer, T., Riemenschneider, M., Förstl, H., Henriksen, G., Klunk, W. E., Mathis, C. A., Shiga, T., Wester, H.-J., Kurz, A., & Drzezga, A. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.01.027 · Cited by 278
Wiltfang, J., Esselmann, H., Bibl, M., Hüll, M., Hampel, H. J., Kessler, H., Frölich, L., Schröder, J., Peters, O., Jessen, F., et al. (2006) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2006.04404.x · Cited by 269
Increased in Vivo Amyloid-β42 Production, Exchange, and Loss in Presenilin Mutation Carriers
Potter, R., Patterson, B. W., Elbert, D. L., Ovod, V., Kasten, T., Sigurdson, W., Mawuenyega, K., Blazey, T., Goate, A., Chott, R., et al. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005615 · Cited by 236
Mattsson, N., Tosun, D., Insel, P. S., Simonson, A., Jack, C. R., Beckett, L. A., Donohue, M., Jagust, W., Schuff, N. W., & Weiner, M. W. (2014) · Brain · doi:10.1093/brain/awu043 · Cited by 216
Self-citationCairns, N. J., Ikonomović, M. D., Benzinger, T. L. S., Storandt, M., Fagan, A. M., Shah, A. R., Taylor‐Reinwald, L., Carter, D. R., Felton, A., Holtzman, D. M., et al. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.279 · Cited by 205
Longitudinal 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
Self-citationLow PiB PET retention in presence of pathologic CSF biomarkers in Arctic APP mutation carriers
Schöll, M., Wall, A., Thordardottir, S., Ferreira, D., Bogdanovic, N., Långström, B., Almkvist, O., Graff, C., & Nordberg, A. (2012) · Neurology · doi:10.1212/wnl.0b013e31825fdf18 · Cited by 169
Relationship of Cerebrospinal Fluid Markers to11C-PiB and18F-FDDNP Binding
Tolboom, N., van der Flier, W. M., Yaqub, M. M., Boellaard, R., Verwey, N. A., Blankenstein, M. A., Windhorst, A. D., Scheltens, P., Lammertsma, A. A., & van Berckel, B. N. M. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.064360 · Cited by 161
Leinenbach, A., Pannee, J., Dülffer, T., Huber, A., Bittner, T., Andréasson, U., Gobom, J., Zetterberg, H., Kobold, U., Portelius, E., et al. (2014) · Clinical Chemistry · doi:10.1373/clinchem.2013.220392 · Cited by 158
Self-citationYAMAGUCHI, H., Nakazato, Y., Hirai, S., Shoji, M., & Harigaya, Y. (1989) · Europe PMC (PubMed Central) · Cited by 143
Concordance Between Cerebrospinal Fluid Biomarkers and [11C]PIB PET in a Memory Clinic Cohort
Zwan, M. D., van Harten, A. C., Ossenkoppele, R., Bouwman, F. H., Teunissen, C. E., Adriaanse, S. F., Lammertsma, A. A., Scheltens, P., van Berckel, B. N. M., & van der Flier, W. M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132561 · Cited by 120
Korecka, M., Waligórska, T., Figurski, M., Toledo, J. B., Arnold, S. E., Grossman, M., Trojanowski, J. Q., & Shaw, L. M. J. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132489 · Cited by 117
Self-citationDiagnostic accuracy of CSF Ab42 and florbetapir PET for Alzheimer's disease
Mattsson, N., Insel, P. S., Landau, S. M., Jagust, W., Donohue, M., Shaw, L. M. J., Trojanowski, J. Q., Zetterberg, H., Blennow, K., Weiner, M. W., et al. (2014) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.81 · Cited by 108
Self-citationPET Amyloid Ligand [11C]PIB Uptake and Cerebrospinal Fluid β-Amyloid in Mild Cognitive Impairment
Koivunen, J., Pirttilä, T., Kemppainen, N. M., Aalto, S., Herukka, S., Jauhianen, A. M., Hänninen, T., Hallikainen, M., Någren, K., Rinne, J. O., et al. (2008) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000163927 · Cited by 103
Weigand, S. D., Vemuri, P., Wiste, H. J., Senjem, M. L., Pankratz, V. S., Aisen, P. S., Weiner, M. W., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.08.230 · Cited by 93
Self-citationMattsson, N., Rajendran, L., Zetterberg, H., Gustavsson, M. K., Andréasson, U., Olsson, M., Brinkmalm, G., Lundkvist, J., Jacobson, L. H., Perrot, L., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031084 · Cited by 71
Self-citationNeuroinflammation in Lyme neuroborreliosis affects amyloid metabolism
Mattsson, N., Bremell, D., Anckarsäter, R., Blennow, K., Anckarsäter, H. S., Zetterberg, H., & Hagberg, L. (2010) · BMC Neurology · doi:10.1186/1471-2377-10-51 · Cited by 64
Self-citationReduced cerebrospinal fluid BACE1 activity in multiple sclerosis
Mattsson, N., Axelsson, M., Haghighi, S., Malmeström, C., Wu, G., Anckarsäter, R., Sankaranarayanan, S., Andreasson, U., Fredrikson, S., Gundersen, A., et al. (2009) · Multiple Sclerosis Journal · doi:10.1177/1352458508100031 · Cited by 61
Self-citationSchmidt, M. L., Didario, A. G., Lee, V. M. ‐., & Trojanowski, J. Q. (1994) · FEBS Letters · doi:10.1016/0014-5793(94)00259-2 · Cited by 47
Self-citationCerebrospinal fluid biomarkers of β-amyloid metabolism in multiple sclerosis
Augutis, K., Axelsson, M., Portelius, E., Brinkmalm, G., Andreasson, U., Gustavsson, M. K., Malmeström, C., Lycke, J., Blennow, K., Zetterberg, H., et al. (2013) · Multiple Sclerosis Journal · doi:10.1177/1352458512460603 · Cited by 47
Self-citationMeasurement of Aβ1–42 in cerebrospinal fluid is influenced by matrix effects
Slemmon, J. R., Meredith, J. E., Guss, V. L., Andréasson, U., Andreasen, N., Zetterberg, H., & Blennow, K. (2011) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2011.07553.x · Cited by 36
Self-citation
Research works printed but not linked: 2
- Bates, 2010, lme4: Mixed-effects modeling with R
- Burnham, 2002, Model Selection and Multimodal Inference
Cited by
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Self-citationThe Amyloid-β Pathway in Alzheimer’s Disease
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Self-citation
Metadata
- Authors
- Mattsson, N., Insel, P. S., Donohue, M., Landau, S., Jagust, W. J., Shaw, L. M., Trojanowski, J. Q., Zetterberg, H., Blennow, K., & Weiner, M. W.
- Affiliations
- San Francisco VA Medical Center (US)
- University of California San Diego (US)
- University of California, Berkeley (US)
- University of Pennsylvania (US)
- National Hospital for Neurology and Neurosurgery (GB)
- University of Gothenburg (SE)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-12-24
- Volume
- 138
- Issue
- 3
- Pages
- 772-783
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC4339769
- OpenAlex
- W2103861278
- Cited by
- 237
- References
- 60
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 15 · 2023: 12 · 2022: 15 · 2021: 27 · 2020: 25 · 2019: 35 · 2018: 21 · 2017: 23 · 2016: 21 · 2015: 21
- FWCI
- 16.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Foundation for the National Institutes of Health (P30AG010129, K01 AG030514, U01AG024904, Grant U01 AG024904, AG024904)
- Alzheimer's Association (AG010129, U01 AG024904)
- Bristol-Myers Squibb (U01 AG024904, AG024904)
- Eli Lilly and Company (U01 AG024904, AG024904)
- Pfizer (AG024904, U01 AG024904)
- AstraZeneca
- Novartis
- F. Hoffmann-La Roche (AG024904, U01 AG024904)
- Medpace (U01 AG024904)
- Synarc (U01 AG024904, P30 AG010129, K01 AG030514)
- Alzheimer's Disease Neuroimaging Initiative (U01AG024904, AG024904, P30 AG010129, K01 AG030514)
- Northern California Institute for Research and Education (U01 AG024904, K01 AG030514, P30 AG010129)
- Elan (U01 AG024904)
- Eisai (U01 AG024904, AG024904)
- Vetenskapsrådet
- Sahlgrenska Universitetssjukhuset
- National Institutes of Health (5u01ag024904-10, U01-AG024904, Grant U01 AG024904, P30 AG010129 and K01 AG030514, AG010129, AG024904)
- U.S. Food and Drug Administration
- Genentech (AG024904, U01 AG024904)
- University of California, Los Angeles
- University of California, San Diego
- National Institute on Aging (U01-AG-024904, P30AG010129, AG 024904, K01AG030514, AG010129)
- National Institute of Biomedical Imaging and Bioengineering (U01 AG024904, AG024904)
- 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 › Clinical Neurology › Cerebrospinal fluid and hydrocephalus
- Keywords
- Alzheimer's disease, amyloid-beta, florbetapir PET, amyloid PET, biomarker discordance, APOE ε4, tau protein, phosphorylated tau, hippocampal volume, cerebral blood flow, FDG-PET, mild cognitive impairment, subjective memory complaints, Alzheimer's disease diagnosis
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Aniline Compounds, Cognition Disorders, Ethylene Glycols, Female, Fluorine Radioisotopes, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Peptide Fragments, Cohort Studies, Amyloid beta-Peptides, Fluorodeoxyglucose F18, Positron-Emission Tomography, Apolipoprotein E4
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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