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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The L-shaped relationship between CSF Aβ42 and amyloid PET may be due to a temporal offset between these two measures.
“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]
Aβ42 levels decrease in the CSF as Aβ starts to accumulate, before fibrillar plaques can be detected with PET.
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 · see citing works
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
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 17,384 · see citing works
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 · see citing works
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 · see citing works
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× · see citing works
“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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citationAutomatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works
The Elements of Statistical Learning
Hastie, T. J., Tibshirani, R. J., & Friedman, J. H. (2009) · Springer series in statistics · doi:10.1007/b94608 · Cited by 4,111 · see citing works
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 · 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
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
Self-citationFagan, 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 · see citing works
Use of Florbetapir-PET for Imaging β-Amyloid Pathology
Clark, C. M. (2011) · JAMA · doi:10.1001/jama.2010.2008 · Cited by 1,117 · see citing works
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 · see citing works
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× · see citing works
“…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 · see citing works
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 · see citing works
Amyloid Deposition, Hypometabolism, and Longitudinal Cognitive Decline
Landau, S. M., Mintun, M., Joshi, A. D., Koeppe, R., Petersen, R. C., Aisen, P., Weiner, M., & Jagust, W. J. (2012) · Annals of Neurology · doi:10.1002/ana.23650 · Cited by 723 · see citing works
Self-citationReiman, 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 · see citing works
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 · see citing works
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 424 · see citing works
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 409 · see citing works
Self-citationComparing 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 · see citing works
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 391 · see citing works
CSF 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 383 · see citing works
Self-citationMay, P. C., Dean, R. A., Lowe, S. L., Martényi, F., Sheehan, S. M., Boggs, L. N., Monk, S. A., Mathes, B. M., Mergott, D. J., Watson, B. M., et al. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.3647-11.2011 · Cited by 373 · see citing works
Palmqvist, 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 · see citing works
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 · see citing works
Preferential Origin and Layer Destination of GAD65-GFP Cortical Interneurons
López‐Bendito, G. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh072 · Cited by 288 · see citing works
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 286 · see citing works
Self-citationGrimmer, 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 · see citing works
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 263 · see citing works
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 · see citing works
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 211 · see citing works
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 203 · see citing works
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 · see citing works
Self-citationSchöll, 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 · see citing works
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 160 · see citing works
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 · see citing works
Self-citationYAMAGUCHI, H., Nakazato, Y., Hirai, S., Shoji, M., & Harigaya, Y. (1989) · Europe PMC (PubMed Central) · Cited by 143 · see citing works
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 · see citing works
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 112 · see citing works
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 106 · see citing works
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 101 · see citing works
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 · see citing works
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 70 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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 34 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- Bates D. lme4: Mixed-effects modeling with R. New York: Springer; 2010.
- Burnham KP, Anderson DR. Model Selection and Multimodal Inference. 2 edn. New York: Springer; 2002.
- Cairns NJ, Ikonomovic MD, Benzinger T, Storandt M, Fagan AM, Shah A, et al. Absence of PIttsburgh compound B detection of cere- bralamyloid beta in a patient with clinical, cognitive, and cerebro- spinal fluidmarkers of alzheimer disease. Arch Neurol 2009; 66: 1557-62.
Cited by
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 · see citing works
Self-citationThe Amyloid-β Pathway in Alzheimer’s Disease
Hampel, H., Hardy, J., Blennow, K., Chen, C., Perry, G., Kim, S. H., Villemagne, V. L., Aisen, P., Vendruscolo, M., Iwatsubo, T., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01249-0 · Cited by 1,952 · see citing works
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 · see citing works
Self-citationMasters, C. L., Bateman, R., Blennow, K., Rowe, C. C., Sperling, R. A., & Cummings, J. L. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.56 · Cited by 1,853 · see citing works
Self-citationBiomarkers for Alzheimer's disease: current status and prospects for the future
Blennow, K., & Zetterberg, H. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12816 · Cited by 1,000 · see citing works
Self-citationPalmqvist, 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 · see citing works
Self-citationTau PET imaging in neurodegenerative tauopathies—still a challenge
Leuzy, A., Chiotis, K., Lemoine, L., Gillberg, P.-G., Almkvist, O., Rodriguez-Vieitez, E., & Nordberg, A. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0342-8 · Cited by 628 · see citing works
Hansson, O., Lehmann, S., Otto, M., Zetterberg, H., & Lewczuk, P. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0485-0 · Cited by 585 · see citing works
Self-citationAmyloid biomarkers in Alzheimer's disease
Blennow, K., Mattsson, N., Schöll, M., Hansson, O., & Zetterberg, H. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2015.03.002 · Cited by 470 · see citing works
Self-citationJanelidze, S., Zetterberg, H., Mattsson, N., Palmqvist, S., Vanderstichele, H., Lindberg, O., van Westen, D., Stomrud, E., Minthon, L., Blennow, K., et al. (2016) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.274 · Cited by 456 · see citing works
Self-citationPalmqvist, S., Mattsson, N., Hansson, O., & Initiative, F. T. A. D. N. (2016) · Brain · doi:10.1093/brain/aww015 · Cited by 400 · see citing works
Self-citationJia, L., Qiu, Q., Zhang, H., Chu, L., Du, Y., Zhang, J., Zhou, C., Liang, F., Shi, S., Wang, S., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.05.002 · Cited by 376 · see citing works
Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease
Palmqvist, S., Zetterberg, H., Mattsson, N., Johansson, P., Initiative, F. T. A. D. N., Minthon, L., Blennow, K., Olsson, M., For the Swedish BioFINDER study group, Hansson, O., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001991 · Cited by 375 · see citing works
Self-citationPalmqvist, S., Insel, P. S., Stomrud, E., Janelidze, S., Zetterberg, H., Brix, B., Eichenlaub, U., Dage, J. L., Chai, X., Blennow, K., et al. (2019) · EMBO Molecular Medicine · doi:10.15252/emmm.201911170 · Cited by 353 · see citing works
Self-citationThe complexity of Alzheimer’s disease: an evolving puzzle
Ferrari, C., & Sorbi, S. (2021) · Physiological Reviews · doi:10.1152/physrev.00015.2020 · Cited by 324 · see citing works
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., Morris, J. C., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.11.007 · Cited by 314 · see citing works
Self-citationThe Alzheimer's Disease Neuroimaging Initiative 2 PET Core: 2015
Jagust, W. J., Landau, S. M., Koeppe, R. A., Reiman, E. M., Chen, K., Mathis, C. A., Price, J. C., Foster, N. L., & Wang, A. Y. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.05.001 · Cited by 294 · see citing works
Self-citationShaw, L. M., Arias, J., Blennow, K., Galasko, D., Molinuevo, J. L., Salloway, S., Schindler, S., Carrillo, M. C., Hendrix, J. A., Ross, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.220 · Cited by 266 · see citing works
Self-citationCerebrospinal Fluid Aβ 42/40 Corresponds Better than Aβ 42 to Amyloid PET in Alzheimer’s Disease
Lewczuk, P., Matzen, A., Blennow, K., Parnetti, L., Molinuevo, J. L., Eusebi, P., Kornhuber, J., Morris, J. C., & Fagan, A. M. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160722 · Cited by 263 · see citing works
Self-citationA Review of Fluid Biomarkers for Alzheimer’s Disease: Moving from CSF to Blood
Blennow, K. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0073-9 · Cited by 295 · see citing works
Self-citationStaging <b>β</b> -Amyloid Pathology With Amyloid Positron Emission Tomography
Mattsson, N., Palmqvist, S., Stomrud, E., Vogel, J., & Hansson, O. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.2214 · Cited by 237 · see citing works
Self-citationMagnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2
Jack, C. R., Barnes, J., Bernstein, M. A., Borowski, B. J., Brewer, J., Clegg, S., Dale, A. M., Carmichael, O., Ching, C., DeCarli, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.002 · Cited by 220 · see citing works
Self-citationLiguori, C., Mercuri, N. B., Izzi, F., Romigi, A., Cordella, A., Sancesario, G., & Placidi, F. (2017) · SLEEP · doi:10.1093/sleep/zsx011 · Cited by 215 · see citing works
Parnetti, L., Chipi, E., Salvadori, N., D’Andrea, K., & Eusebi, P. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0459-7 · Cited by 194 · see citing works
18F‐AV‐1451 and CSF T‐tau and P‐tau as biomarkers in Alzheimer's disease
Mattsson, N., Schöll, M., Strandberg, O., Smith, R., Palmqvist, S., Insel, P. S., Hägerström, D., Ohlsson, T., Zetterberg, H., Jögi, J., et al. (2017) · EMBO Molecular Medicine · doi:10.15252/emmm.201707809 · Cited by 177 · see citing works
Self-citationThal, D. R., Beach, T. G., Zanette, M., Heurling, K., Chakrabarty, A., Ismail, A., Smith, A. P. L., & Buckley, C. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.018 · Cited by 159 · see citing works
The Past and the Future of Alzheimer’s Disease Fluid Biomarkers
Blennow, K., & Zetterberg, H. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170773 · Cited by 148 · see citing works
Self-citationJanelidze, S., Pannee, J., Mikulskis, A., Chiao, P., Zetterberg, H., Blennow, K., & Hansson, O. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.2814 · Cited by 147 · see citing works
Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects
Toledo, J. B., Zetterberg, H., van Harten, A. C., Glodzik, L., Martinez-Lage, P., Bocchio-Chiavetto, L., Rami, L., Hansson, O., Sperling, R., Engelborghs, S., et al. (2015) · Brain · doi:10.1093/brain/awv199 · Cited by 136 · see citing works
Self-citationInitiative, A. D. N., Pascoal, T. A., Mathotaarachchi, S. S., Mohades, S. T., Benedet, A. L., Chung, C.-O., Shin, M., Wang, S., Beaudry, T., Kang, M. S., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.37 · Cited by 133 · see citing works
Leuzy, A., Chiotis, K., Hasselbalch, S. G., Rinne, J. O., de Mendonça, A., Otto, M., Lleó, A., Castelo-Branco, M. S., Santana, I. J., Johansson, J. J., et al. (2016) · Brain · doi:10.1093/brain/aww160 · Cited by 132 · see citing works
Self-citationThe implications of different approaches to define AT(N) in Alzheimer disease
Mattsson-Carlgren, N., Leuzy, A., Janelidze, S., Palmqvist, S., Stomrud, E., Strandberg, O., Smith, R., & Hansson, O. (2020) · Neurology · doi:10.1212/wnl.0000000000009485 · Cited by 114 · see citing works
Self-citationOssenkoppele, R., Reimand, J., Smith, R. A., Leuzy, A., Strandberg, O. T., Palmqvist, S., Stomrud, E., Zetterberg, H., Initiative, T. A. D. N., Scheltens, P., et al. (2021) · EMBO Molecular Medicine · doi:10.15252/emmm.202114398 · Cited by 126 · see citing works
Self-citationMattsson, N., Lönneborg, A., Boccardi, M., Blennow, K., & Hansson, O. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.034 · Cited by 134 · see citing works
Self-citationSturchio, A., Dwivedi, A. K., Young, C. B., Malm, T., Marsili, L., Sharma, J. S., Mahajan, A., Hill, E. J., Andaloussi, S. E., Poston, K. L., et al. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.100988 · Cited by 128 · see citing works
Meyer, P., Binette, A. P., Gonneaud, J., Breitner, J. C. S., Villeneuve, S., & ADNI Investigators (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2019.4749 · Cited by 123 · see citing works
Determining Amyloid-β Positivity Using18F-AZD4694 PET Imaging
Therriault, J., Benedet, A. L., Pascoal, T. A., Savard, M., Ashton, N. J., Chamoun, M., Tissot, C., Lussier, F. Z., Kang, M. S., Bezgin, G., et al. (2020) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.245209 · Cited by 123 · see citing works
Self-citationAmyloid Beta and Tau as Alzheimer’s Disease Blood Biomarkers: Promise From New Technologies
Lue, L., Guerra, A., & Walker, D. G. (2017) · Neurology and Therapy · doi:10.1007/s40120-017-0074-8 · Cited by 116 · see citing works
Calderón‐Garcidueñas, L., Ávila-Ramírez, J., Calderón‐Garcidueñas, A. L., González-Heredia, T., Acuña-Ayala, H., Chao, C., Thompson, C., Ramos, R. R., Cortés-González, V., Martínez-Martínez, L., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160472 · Cited by 112 · see citing works
Dhiman, K., Blennow, K., Zetterberg, H., Martins, R., & Gupta, V. (2019) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03040-5 · Cited by 97 · see citing works
Self-citationIs amyloid-β harmful to the brain? Insights from human imaging studies
Jagust, W. (2016) · Brain · doi:10.1093/brain/awv326 · Cited by 110 · see citing works
Self-citationDetecting earlier stages of amyloid deposition using PET in cognitively normal elderly adults
Guo, T., Landau, S. M., Jagust, W. J., & Initiative, A. D. N. (2020) · Neurology · doi:10.1212/wnl.0000000000009216 · Cited by 95 · see citing works
Self-citationNiemantsverdriet, E., Ottoy, J., Somers, C., Roeck, E. E. D., Struyfs, H., Soetewey, F., Verhaeghe, J. A. J., den Bossche, T. V., Mossevelde, S. V., Goeman, J., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170327 · Cited by 94 · see citing works
Detection of Alzheimer's disease amyloid beta 1‐42, p‐tau, and t‐tau assays
van Harten, A. C., Wiste, H. J., Weigand, S. D., Mielke, M. M., Kremers, W. K., Eichenlaub, U., Dyer, R. B., Algeciras‐Schimnich, A., Knopman, D. S., Jack, C. R., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12406 · Cited by 91 · see citing works
Plasma p‐tau231, p‐tau181, PET Biomarkers, and Cognitive Change in Older Adults
Meyer, P., Ashton, N. J., Karikari, T. K., Strikwerda‐Brown, C., Köbe, T., Gonneaud, J., Binette, A. P., Ozlen, H., Yakoub, Y., Simrén, J., et al. (2022) · Annals of Neurology · doi:10.1002/ana.26308 · Cited by 90 · see citing works
Self-citationHow early can we diagnose Alzheimer disease (and is it sufficient)?
Petersen, R. C. (2018) · Neurology · doi:10.1212/wnl.0000000000006088 · Cited by 92 · see citing works
Salivary Biomarkers for Alzheimer’s Disease and Related Disorders
Ashton, N. J., Ide, M., Zetterberg, H., & Blennow, K. (2019) · Neurology and Therapy · doi:10.1007/s40120-019-00168-1 · Cited by 89 · see citing works
Self-citationVos, S. J. B., Gordon, B. A., Su, Y., Visser, P. J., Holtzman, D. M., Morris, J. C., Fagan, A. M., & Benzinger, T. L. S. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.03.025 · Cited by 98 · see citing works
MRI predictors of amyloid pathology: results from the EMIF-AD Multimodal Biomarker Discovery study
ten Kate, M., Redolfi, A., Peira, E., Bos, I., Vos, S. J., Vandenberghe, R., Gabel, S., Schaeverbeke, J., Scheltens, P., Blin, O., et al. (2018) · Alzheimer's Research & Therapy · doi:10.1186/s13195-018-0428-1 · Cited by 78 · see citing works
Self-citationA Systematic Review of Longitudinal Studies Which Measure Alzheimer’s Disease Biomarkers
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 84 · see citing works
Insel, P. S., Ossenkoppele, R., Gessert, D., Jagust, W., Landau, S. M., Hansson, O., Weiner, M. W., & Mattsson, N. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00281 · Cited by 75 · see citing works
Self-citationThe EMIF-AD PreclinAD study: study design and baseline cohort overview
Konijnenberg, E., Carter, S. F., ten Kate, M., den Braber, A., Tomassen, J., Amadi, C., Wesselman, L. M. P., Nguyen, H., van de Kreeke, J. A., Yaqub, M. M., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0406-7 · Cited by 75 · see citing works
Update on Biomarkers For Amyloid Pathology in Alzheimer’s Disease
Ashton, N. J., Schöll, M., Heurling, K., Gkanatsiou, E., Portelius, E., Höglund, K., Brinkmalm, G., Hye, A., Blennow, K., & Zetterberg, H. (2018) · Biomarkers in Medicine · doi:10.2217/bmm-2017-0433 · Cited by 75 · see citing works
Self-citationSchreiber, S., Landau, S., Fero, A., Schreiber, F., & Jagust, W. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.1633 · Cited by 83 · see citing works
Self-citationRacine, A. M., Clark, L. R., Berman, S. E., Koscik, R. L., Mueller, K. D., Norton, D., Nicholas, C. R. N., Blennow, K., Zetterberg, H., Jedynak, B., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160528 · Cited by 74 · see citing works
Self-citation(ADNI), T. A. D. N. I., Bouallègue, F. B., Mariano‐Goulart, D., & Payoux, P. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0260-z · Cited by 71 · see citing works
<i>KLOTHO</i> heterozygosity attenuates <i>APOE4</i> -related amyloid burden in preclinical AD
Erickson, C. M., Schultz, S. A., Oh, J. M., Darst, B. F., Ma, Y., Norton, D., Betthauser, T., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000007323 · Cited by 70 · see citing works
Self-citationLeuzy, A., Ashton, N. J., Mattsson, N., Dodich, A., Boccardi, M., Corre, J., Drzezga, A. E., Nordberg, A. K., Ossenkoppele, R., Zetterberg, H., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05258-7 · Cited by 69 · see citing works
Self-citationChallenges associated with biomarker‐based classification systems for Alzheimer's disease
Illán‐Gala, I., Pegueroles, J., Montal, V., Vilaplana, E., Carmona‐Iragui, M., Alcolea, D., Dickerson, B. C., Sánchez‐Valle, R., de Leon, M. J., Blesa, R., et al. (2018) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.03.004 · Cited by 62 · see citing works
Use of amyloid-PET to determine cutpoints for CSF markers
Zwan, M. D., Rinne, J. O., Hasselbalch, S. G., Nordberg, A. K., Lleó, A., Herukka, S., Soininen, H. S., Law, I. G., Bahl, J. M. C., Carter, S. F., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000002081 · Cited by 66 · see citing works
Guo, T., Korman, D., Joie, R. L., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00665-8 · Cited by 66 · see citing works
Self-citationCardiorespiratory Fitness Attenuates the Influence of Amyloid on Cognition
Schultz, S. A., Boots, E. A., Almeida, R. P., Oh, J. M., Einerson, J. A., Korcarz, C. E., Edwards, D. F., Koscik, R. L., Dowling, N. M., Gallagher, C. L., et al. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000843 · Cited by 63 · see citing works
Self-citationBos, I., Verhey, F. R. J., Ramakers, I. H. G. B., Jacobs, H. I. L., Soininen, H. S., Freund‐Levi, Y., Hampel, H. J., Tsolaki, M., Wallin, Å. K., van Buchem, M. A., et al. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0328-9 · Cited by 62 · see citing works
Subthreshold amyloid and its biological and clinical meaning
Bischof, G. N., & Jacobs, H. I. L. (2019) · Neurology · doi:10.1212/wnl.0000000000007747 · Cited by 62 · see citing works
The Spatial-Temporal Ordering of Amyloid Pathology and Opportunities for PET Imaging
Fantoni, E., Collij, L. E., Alves, I. L., Buckley, C. J., & Farrar, G. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.119.235879 · Cited by 63 · see citing works
Secreted Chaperones in Neurodegeneration
Chaplot, K., Jarvela, T. S., & Lindberg, I. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00268 · Cited by 59 · see citing works
Hahn, A., Strandberg, T. O., Stomrud, E., Nilsson, M., van Westen, D., Palmqvist, S., Ossenkoppele, R., & Hansson, O. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz020 · Cited by 61 · 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
Clinical impact of [18F]flutemetamol PET among memory clinic patients with an unclear diagnosis
Leuzy, A., Savitcheva, I., Chiotis, K., Lilja, J., Andersen, P., Bogdanović, N., Jelić, V., & Nordberg, A. K. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04297-5 · Cited by 60 · see citing works
Resting-state global brain activity affects early β-amyloid accumulation in default mode network
Han, F., Liu, X., Mailman, R. B., Huang, X., Liu, X., & Initiative, T. A. D. N. (2023) · Nature Communications · doi:10.1038/s41467-023-43627-y · Cited by 68 · see citing works
Martínez, G., Vernooij, R. W. M., Padilla, P. F., Zamora, J., Bonfill, X., & Flicker, L. A. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012216.pub2 · Cited by 59 · see citing works
Kang, J. H., Korecka, M., Lee, E. B., Cousins, K. A. Q., Tropea, T. F., Chen-Plotkin, A. A., Irwin, D. J., Wolk, D., Brylska, M., Wan, Y., et al. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad139 · Cited by 64 · see citing works
Self-citationClinical Neurophysiological and Automated EEG-Based Diagnosis of the Alzheimer's Disease
Bhat, S., Acharya, U. R., Dadmehr, N., & Adeli, H. (2015) · European Neurology · doi:10.1159/000441447 · Cited by 56 · see citing works
Fluid and imaging biomarkers for Alzheimer's disease: Where we stand and where to head to
Henriques, A. D., Benedet, A. L., Camargos, E. F., Rosa‐Neto, P., & Nóbrega, O. D. T. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.01.002 · Cited by 54 · see citing works
Discordant amyloid-β PET and CSF biomarkers and its clinical consequences
de Wilde, A., Reimand, J., Teunissen, C. E., Zwan, M. D., Windhorst, A. D., Boellaard, R., van der Flier, W. M., Scheltens, P., van Berckel, B. N. M., Bouwman, F. H., et al. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0532-x · Cited by 54 · see citing works
Clinical significance of fluid biomarkers in Alzheimer’s Disease
Lewczuk, P., Łukaszewicz‐Zając, M., Mroczko, P., & Kornhuber, J. (2020) · Pharmacological Reports · doi:10.1007/s43440-020-00107-0 · Cited by 53 · see citing works
Association of CSF Aβ, amyloid PET, and cognition in cognitively unimpaired elderly adults
Guo, T., Shaw, L. M. J., Trojanowski, J. Q., Jagust, W. J., Landau, S. M., & Initiative, A. D. N. (2020) · Neurology · doi:10.1212/wnl.0000000000010596 · Cited by 51 · see citing works
Self-citationAssociation of amyloid-β CSF/PET discordance and tau load 5 years later
Reimand, J., Collij, L. E., Scheltens, P., Bouwman, F. H., Ossenkoppele, R., & Initiative, A. D. N. (2020) · Neurology · doi:10.1212/wnl.0000000000010739 · Cited by 49 · see citing works
Diagnostic value of cerebrospinal fluid Aβ ratios in preclinical Alzheimer’s disease
Adamczuk, K., Schaeverbeke, J. M., Vanderstichele, H., Lilja, J., Nelissen, N., Laere, K. V., Dupont, P. J., Hilven, K., Poesen, K., & Vandenberghe, R. R. (2015) · Alzheimer s Research & Therapy · doi:10.1186/s13195-015-0159-5 · Cited by 49 · see citing works
Subjective Cognitive Decline and APOE ɛ4: A Systematic Review
Ali, J. I., Smart, C. M., & Gawryluk, J. R. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180248 · Cited by 48 · see citing works
Müller, E. G., Edwin, T. H., Stokke, C., Navelsaker, S. S., Babovic, A., Bogdanović, N., Knapskog, A., & Revheim, M. E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0221365 · Cited by 47 · see citing works
Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults
ten Kate, M., Visser, P. J., Bakardjian, H., Barkhof, F., Sikkes, S. A. M., van der Flier, W. M., Scheltens, P., Hampel, H., Habert, M.-O., Dubois, B., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00067 · Cited by 41 · see citing works
Kim, S. H., Lee, P., Oh, K. T., Byun, M. S., Yi, D., Lee, J. H., Kim, Y. K., Ye, B. S., Yun, M., Lee, D. Y., et al. (2021) · EJNMMI Research · doi:10.1186/s13550-021-00798-3 · Cited by 45 · see citing works
Accelerating rates of cognitive decline and imaging markers associated with β-amyloid pathology
Insel, P. S., Mattsson, N., Mackin, R. S., Schöll, M., Nosheny, R. L., Tosun, D., Donohue, M., Aisen, P. S. S., Jagust, W., Weiner, M. W., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002683 · Cited by 45 · see citing works
Self-citationBiomarker clusters are differentially associated with longitudinal cognitive decline in late midlife
Racine, A. M., Koscik, R. L., Berman, S. E., Nicholas, C. R. N., Clark, L. R., Okonkwo, O. C., Rowley, H. A., Asthana, S., Bendlin, B. B., Blennow, K., et al. (2016) · Brain · doi:10.1093/brain/aww142 · Cited by 46 · see citing works
Self-citationLeuzy, A., Cicognola, C., Chiotis, K., Saint‐Aubert, L., Lemoine, L., Andreasen, N., Zetterberg, H., Ye, K., Blennow, K., Höglund, K., et al. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-4242-6 · Cited by 45 · see citing works
Self-citationAmyloid PET imaging in clinical practice
Kolanko, M., Win, Z., Loreto, F., Patel, N., Carswell, C. J., Gontsarova, A., Perry, R. J., & Malhotra, P. (2020) · Practical Neurology · doi:10.1136/practneurol-2019-002468 · Cited by 45 · see citing works
Biomarker pattern of ARIA-E participants in phase 3 randomized clinical trials with bapineuzumab
Liu, E., Wang, D., Sperling, R. A., Salloway, S., Fox, N. C., Blennow, K., Scheltens, P., Schmidt, M. E., Streffer, J. R., Novak, G., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005060 · Cited by 42 · see citing works
Self-citationA Review of Application of Aβ42/40 Ratio in Diagnosis and Prognosis of Alzheimer’s Disease
Xu, C., Zhao, L., & Dong, C. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220673 · Cited by 44 · see citing works
Shaw, L. M. J., Hansson, O., Manuilova, E., Masters, C. L., Doecke, J. D., Li, Q.-X., Rutz, S., Widmann, M., Leinenbach, A., & Blennow, K. (2019) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2019.05.006 · Cited by 44 · see citing works
Self-citationAlzheimer's disease neuropathology and its estimation with fluid and imaging biomarkers
Thal, D. R., Poesen, K., Vandenberghe, R. R., & Meyer, S. D. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00819-y · Cited by 47 · see citing works
Meyer, P., Savard, M., Poirier, J., Labonté, A., Rosa‐Neto, P., Weitz, T. M., Town, T., Breitner, J. C. S., & Initiative, A. D. N. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170887 · Cited by 42 · see citing works
Frederiksen, K. S., Gjerum, L., Waldemar, G., & Hasselbalch, S. G. (2019) · Current Alzheimer Research · doi:10.2174/1567205016666190315095151 · Cited by 40 · see citing works
Sala, A., Nordberg, A. K., Rodriguez‐Vieitez, E., & Initiative, A. D. N. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-00950-w · Cited by 43 · see citing works
Longitudinal validity of <scp>PET</scp>‐based staging of regional amyloid deposition
Jelistratova, I., Teipel, S. J., & Grothe, M. J. (2020) · Human Brain Mapping · doi:10.1002/hbm.25121 · Cited by 39 · see citing works
Software development for quantitative analysis of brain amyloid PET
Matsuda, H., & Yamao, T. (2022) · Brain and Behavior · doi:10.1002/brb3.2499 · Cited by 38 · see citing works
Moderate‐ to high‐intensity exercise does not modify cortical β‐amyloid in Alzheimer's disease
Frederiksen, K. S., Madsen, K., Andersen, B. B., Beyer, N., Garde, E., Høgh, P., Waldemar, G., Hasselbalch, S. G., & Law, I. G. (2019) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2019.04.006 · Cited by 37 · see citing works
Jang, H., Kim, J. S., Lee, H. J., Kim, C., Na, D. L., Kim, H. J., Allué, J. A., Sarasa, L., Castillo, S., Pesini, P., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00911-7 · Cited by 36 · see citing works
Biomarkers and cognitive endpoints to optimize trials in Alzheimer's disease
Insel, P. S., Mattsson, N., Mackin, R. S., Kornak, J., Nosheny, R. L., Tosun, D., Donohue, M., Aisen, P. S. S., Weiner, M. W., & Initiative, A. D. N. (2015) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.192 · Cited by 35 · see citing works
Self-citationAmyloid and tau signatures of brain metabolic decline in preclinical Alzheimer’s disease
Initiative, A. D. N., Pascoal, T. A., Mathotaarachchi, S. S., Shin, M., Park, A. Y., Mohades, S., Benedet, A. L., Kang, M. S., Massarweh, G., Soucy, J., et al. (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-3933-3 · Cited by 35 · see citing works
- 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
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › 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 ›
Are you an author, or do you see a problem with this page? Request a review