Cerebrospinal fluid analysis detects cerebral amyloid-β accumulation earlier than positron emission tomography
Open accessAbstract
See Rabinovici (doi: 10.1093/brain/aww025 ) for a scientific commentary on this article. Cerebral accumulation of amyloid-β is thought to be the starting mechanism in Alzheimer’s disease. Amyloid-β can be detected by analysis of cerebrospinal fluid amyloid-β 42 or amyloid positron emission tomography, but it is unknown if any of the methods can identify an abnormal amyloid accumulation prior to the other. Our aim was to determine whether cerebrospinal fluid amyloid-β 42 change before amyloid PET during preclinical stages of Alzheimer’s disease. We included 437 non-demented subjects from the prospective, longitudinal Alzheimer’s Disease Neuroimaging Initiative (ADNI) study. All underwent 18 F-florbetapir positron emission tomography and cerebrospinal fluid amyloid-β 42 analysis at baseline and at least one additional positron emission tomography after a mean follow-up of 2.1 years (range 1.1–4.4 years). Group classifications were based on normal and abnormal cerebrospinal fluid and positron emission tomography results at baseline. We found that cases with isolated abnormal cerebrospinal fluid amyloid-β and normal positron emission tomography at baseline accumulated amyloid with a mean rate of 1.2%/year, which was similar to the rate in cases with both abnormal cerebrospinal fluid and positron emission tomography (1.2%/year, P = 0.86). The mean accumulation rate of those with isolated abnormal cerebrospinal fluid was more than three times that of those with both normal cerebrospinal fluid and positron emission tomography (0.35%/year, P = 0.018). The group differences were similar when analysing yearly change in standardized uptake value ratio of florbetapir instead of percentage change. Those with both abnormal cerebrospinal fluid and positron emission tomography deteriorated more in memory and hippocampal volume compared with the other groups ( P < 0.001), indicating that they were closer to Alzheimer’s disease dementia. The results were replicated after adjustments of different factors and when using different cut-offs for amyloid-β abnormality including a positron emission tomography classification based on the florbetapir uptake in regions where the initial amyloid-β accumulation occurs in Alzheimer’s disease. This is the first study to show that individuals who have abnormal cerebrospinal amyloid-β 42 but normal amyloid-β positron emission tomography have an increased cortical amyloid-β accumulation rate similar to those with both abnormal cerebrospinal fluid and positron emission tomography and higher rate than subjects where both modalities are normal. The results indicate that cerebrospinal fluid amyloid-β 42 becomes abnormal in the earliest stages of Alzheimer’s disease, before amyloid positron emission tomography and before neurodegeneration starts. See Rabinovici (doi: 10.1093/brain/aww025 ) for a scientific commentary on this article. The success of disease-modifying therapies in Alzheimer’s disease may depend on detecting the earliest signs of abnormal amyloid-β load. Palmqvist et al . show that CSF amyloid-β 42 becomes abnormal before amyloid PET and before neurodegeneration onset in preclinical Alzheimer’s disease. This may have implications for risk factor interventions and future therapies.
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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 [122]
Individuals with AD may first be defined as CSF+/PET− and then progress to CSF+/PET+.
“This indicates that individuals with AD may first be defined as being CSF+/PET−, and then progress to CSF+/PET+.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [12]
In a prior longitudinal cohort of more than 400 non-demented individuals, those with abnormally low CSF Aβ42 but normal Aβ PET (CSF+/PET−) accumulated Aβ fibrils longitudinally at a similar rate as CSF+/PET+ and four times higher than CSF−/PET−.
“those with abnormally low CSF levels of Aβ42, but with still normal Aβ levels detected by PET (CSF+/PET−), accumulated Aβ fibrils longitudinally at a similar rate as those who had both abnormal CSF levels of Aβ42 and abnormal levels of Aβ detected by PET (CSF+/PET+) and four times higher than those with normal biomarker results on both parameters (CSF−/PET−)12.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [12]
In a recent study, CSF+/PET− subjects accumulated Aβ at a similar rate as CSF+/PET+ subjects and about four times higher than CSF−/PET− subjects.
“In a recent study, we also showed that CSF+/PET− subjects accumulated Aβ at a similar rate as CSF+/PET+ subjects and about four times higher than CSF−/PET− subjects12.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [12]
Mixture modeling provides an unbiased threshold for abnormality and is a well-established method for defining Aβ PET cut-offs.
“Mixture modeling statistics provide an unbiased threshold for abnormality (i.e., the diagnosis or status is not used in analysis) and it is a well-established method for defining Aβ PET cut-offs12, 17, 60, 61.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [12]
Reduced concentrations of Aβ42 in CSF and increased retention of Aβ tracers in the brain have been considered early biomarkers of AD.
“reduced concentrations of Aβ42 in CSF and increased retention of Aβ tracers in the brain have been considered as early biomarkers of AD.255–258”
From Amyloid β-based therapy for Alzheimer’s disease: Challenges, successes and future (2023) · cites this paper as [258]
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · 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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 5× · see citing works
“The results were robust using four different types of group classifications for CSF+/ and PET+/ and when classifying PET +/– based on amyloid-b deposition in regions that are affected in the initial phase of amyloid-b accumulation (Braak and Braak, 1991; Goedert, 2015).”
BackgroundMethodResultInfluentialAlbert, 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 2× · see citing works
“As the disease progresses, affected individuals show neurodegeneration and early clinical symptoms and may be diagnosed with mild cognitive impairment (MCI) (Albert et al., 2011).”
BackgroundThe Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
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
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
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
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814 · see citing works
Ngandu, T., Lehtisalo, J., Solomon, A., Levälahti, E., Ahtiluoto, S., Antikainen, R., Bäckman, L., Hänninen, T., Jula, A., Laatikainen, T., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60461-5 · Cited by 3,689 · see citing works
Albert, 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
Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279 · 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-citationmixtools : An R Package for Analyzing Finite Mixture Models
Benaglia, T., Chauveau, D., Hunter, D. R., & Young, D. S. (2009) · Journal of Statistical Software · doi:10.18637/jss.v032.i06 · Cited by 1,351 · see citing works
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 · see citing works
Goedert, M. (2015) · Science · doi:10.1126/science.1255555 · Cited by 977 · see citing works
<i>APOE</i> predicts amyloid‐beta but not tau Alzheimer pathology in cognitively normal aging
Morris, J. C., Roe, C. M., Xiong, C., Fagan, A. M., Goate, A. M., Holtzman, D. M., & Mintun, M. A. (2010) · Annals of Neurology · doi:10.1002/ana.21843 · Cited by 830 · see citing works
The A4 Study: Stopping AD Before Symptoms Begin?
Sperling, R. A., Rentz, D. M., Johnson, K. A., Karlawish, J. H., Donohue, M., Salmon, D. P., & Aisen, P. S. S. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007941 · Cited by 756 · see citing works
The Evolution of Preclinical Alzheimer’s Disease: Implications for Prevention Trials
Sperling, R., Mormino, E., & Johnson, K. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.038 · 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
(2000) · doi:10.1016/s0261-3794(99)00028-1 · Cited by 620 · see citing works
Initiative, A. D. N., Crane, P. K., Carle, A. C., Gibbons, L. E., Insel, P. S., Mackin, R. S., Gross, A. L., Jones, R. N., Mukherjee, S., Curtis, S. M., et al. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9186-z · Cited by 615 · see citing works
Preclinical Alzheimer's disease and its outcome: a longitudinal cohort study
Vos, S. J., Xiong, C., Visser, P. J., Jasielec, M. S., Hassenstab, J., Grant, E. A., Cairns, N. J., Morris, J. C., Holtzman, D. M., & Fagan, A. M. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70194-7 · Cited by 564 · see citing works
Testing the Right Target and Right Drug at the Right Stage
Sperling, R. A., Jack, C. R., & Aisen, P. S. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002609 · Cited by 550 · 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
Relationships between biomarkers in aging and dementia
Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., Foster, N. L., Petersen, R. C., Weiner, M. W., Price, J. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181bc010c · Cited by 456 · 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
Villeneuve, S., Rabinovici, G. D., Cohn-Sheehy, B. I., Madison, C., Ayakta, N., Ghosh, P. M., La Joie, R., Arthur-Bentil, S. K., Vogel, J. W., Marks, S. M., et al. (2015) · Brain · doi:10.1093/brain/awv112 · Cited by 408 · see citing works
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 · see citing works
Joshi, 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
Clinical and Biomarker Changes in Dominantly Inherited Alzheimer's Disease
(2012) · New England Journal of Medicine · doi:10.1056/nejmx120056 · Cited by 382 · 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., 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-citationLandau, S. M., Fero, A., Baker, S. L., Koeppe, R., Mintun, M., Chen, K., Reiman, E. M., & Jagust, W. J. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.148981 · Cited by 364 · see citing works
Fagan, 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
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 · see citing works
Villain, N., Chételat, G., Grassiot, B., Bourgeat, P., Jones, G., Ellis, K. A., Ames, D., Martins, R. N., Eustache, F., Salvado, O., et al. (2012) · Brain · doi:10.1093/brain/aws125 · Cited by 255 · see citing works
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. (2015) · Brain · doi:10.1093/brain/awu367 · Cited by 237 · 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
Pathways to Alzheimer's disease
Hardy, J., Bogdanović, N., Winblad, B. G., Portelius, E., Andreasen, N. C., Cedazo-Mı́nguez, Á., & Zetterberg, H. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12192 · Cited by 177 · see citing works
Development of Positron Emission Tomography β-Amyloid Plaque Imaging Agents
Mathis, C. A., Mason, N. S., Lopresti, B. J., & Klunk, W. E. (2012) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2012.07.001 · Cited by 176 · see citing works
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 · 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
Braak, H., Zetterberg, H., Tredici, K. D., & Blennow, K. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1139-0 · Cited by 141 · see citing works
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 · see citing works
Diagnostic 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-citationWeigand, 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
Toledo, J. B., Bjerke, M., Da, X., Landau, S. M., Foster, N. L., Jagust, W., Jack, C., Weiner, M., Davatzikos, C., Shaw, L. M., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4829 · Cited by 88 · see citing works
Pietrzak, R. H., Lim, Y. Y., Ames, D. J., Harrington, K., Restrepo, C., Martins, R. N., Rembach, A., Laws, S. M., Masters, C. L., Villemagne, V. L., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.015 · Cited by 84 · see citing works
Easy methods for extracting individual regression slopes: Comparing SPSS, R, and Excel
Pfister, R., Schwarz, K. A., Carson, R., & Jancyzk, M. (2013) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.09.2.p072 · Cited by 75 · see citing works
The transitional association between β‐amyloid pathology and regional brain atrophy
Insel, P. S., Mattsson, N., Donohue, M., Mackin, R. S., Aisen, P. S. S., Jack, C. R., Shaw, L. M. J., Trojanowski, J. Q., Weiner, M. W., & Initiative, A. D. N. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.11.002 · Cited by 50 · see citing works
Self-citationPredicting Reduction of Cerebrospinal Fluid β-Amyloid 42 in Cognitively Healthy Controls
Mattsson, N., Insel, P. S., Donohue, M., Jagust, W., Sperling, R., Aisen, P., & Weiner, M. W. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2014.4530 · Cited by 45 · see citing works
Self-citationPalmqvist, S., Zetterberg, H., Mattsson, N., Minthon, L., Blennow, K., Ohlsson, M., Hansson, O., & the Swedish BioFINDER Study Group and the Alzheimer's Disease Neuroimaging Initiative (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.07.063 · Cited by 3 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- Biogen. A Randomized, Blinded, Placebo-Controlled Single Ascending Dose Study of the Safety, Tolerability, and Pharmacokinetics of BIIB037 in Subjects with Mild to Moderate Alzheimer's Disease. In: AD/PD International Conference, Nice, France, 2015.
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
Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Jack, C. R., Andrews, J. S., Beach, T. G., Buracchio, T., Dunn, B., Graf, A., Hansson, O., Ho, C., Jagust, W., McDade, E., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13859 · Cited by 2,803 · 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
Biomarkers for neurodegenerative diseases
Hansson, O. (2021) · Nature Medicine · doi:10.1038/s41591-021-01382-x · Cited by 1,159 · see citing works
Self-citationClinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group
Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00066-1 · Cited by 1,051 · see citing works
“In CSF, a positive amyloid measure despite a negative amyloid PET or the use of novel biomarkers (for instance, CSF A 34/42 ratio 39 ) might also prove to be reliable biomarkers of early amyloid deposition stages 39,40 .”
BackgroundBiomarkers 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
Palmqvist, S., Schöll, M., Strandberg, O., Mattsson, N., Stomrud, E., Zetterberg, H., Blennow, K., Landau, S., Jagust, W., & Hansson, O. (2017) · Nature Communications · doi:10.1038/s41467-017-01150-x · Cited by 911 · see citing works
Self-citationAmyloid β-based therapy for Alzheimer’s disease: Challenges, successes and future
Zhang, Y., Chen, H., Li, R., Sterling, K., & Song, W. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01484-7 · Cited by 988 · see citing works
Hansson, O., Seibyl, J., Stomrud, E., Zetterberg, H., Trojanowski, J. Q., Bittner, T., Lifke, V., Corradini, V., Eichenlaub, U., Batrla, R., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.01.010 · Cited by 808 · 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-citationBlood biomarkers for Alzheimer’s disease in clinical practice and trials
Hansson, O., Blennow, K., Zetterberg, H., & Dage, J. (2023) · Nature Aging · doi:10.1038/s43587-023-00403-3 · Cited by 522 · see citing works
Self-citationVeitch, D. P., Weiner, M. W., Aisen, P. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., Morris, J. C., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.08.005 · Cited by 454 · see citing works
Palmqvist, 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-citationMilà-Alomà, M., Ashton, N. J., Shekari, M., Salvadó, G., Ortiz-Romero, P., Montoliu-Gaya, L., Benedet, A. L., Karikari, T. K., Lantero-Rodriguez, J., Vanmechelen, E., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01925-w · Cited by 353 · see citing works
Amyloid Beta in Aging and Alzheimer’s Disease
Sehar, U., Rawat, P., Reddy, A. P., Kopel, J. J., & Reddy, P. H. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232112924 · Cited by 385 · see citing works
Liss, J. L., Seleri Assunção, S., Cummings, J., Atri, A., Geldmacher, D. S., Candela, S. F., Devanand, D. P., Fillit, H. M., Susman, J., Mintzer, J., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13244 · Cited by 312 · see citing works
Blood phospho-tau in Alzheimer disease: analysis, interpretation, and clinical utility
Karikari, T. K., Ashton, N. J., Brinkmalm, G., Brum, W. S., Benedet, A. L., Montoliu‐Gaya, L., Lantero‐Rodriguez, J., Pascoal, T. A., Suárez‐Calvet, M., Rosa‐Neto, P., et al. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-022-00665-2 · Cited by 327 · see citing works
Longitudinal cognitive and biomarker changes in dominantly inherited Alzheimer disease
McDade, E., Wang, G., Gordon, B. A., Hassenstab, J., Benzinger, T. L. S., Buckles, V., Fagan, A. M., Holtzman, D. M., Cairns, N. J., Goate, A. M., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000006277 · Cited by 314 · see citing works
Aducanumab: Appropriate Use Recommendations
Cummings, J., Aisen, P., Apostolova, L. G., Atri, A., Salloway, S., & Weiner, M. (2021) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2021.41 · Cited by 316 · see citing works
Solving neurodegeneration: common mechanisms and strategies for new treatments
Wareham, L. K., Liddelow, S. A., Temple, S., Benowitz, L. I., Di Polo, A., Wellington, C., Goldberg, J. L., He, Z., Duan, X., Bu, G., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00524-0 · Cited by 324 · see citing works
Prevalence Estimates of Amyloid Abnormality Across the Alzheimer Disease Clinical Spectrum
Jansen, W. J., Janssen, O., Tijms, B. M., Vos, S. J. B., Ossenkoppele, R., Visser, P. J., Amyloid Biomarker Study Group, Aarsland, D., Alcolea, D., Altomare, D., et al. (2022) · JAMA Neurology · doi:10.1001/jamaneurol.2021.5216 · Cited by 290 · see citing works
Self-citationLewczuk, P., Riederer, P. F., O’Bryant, S. E., Verbeek, M. M., Dubois, B., Visser, P. J., Jellinger, K. A., Engelborghs, S., Ramı́rez, A., Parnetti, L., et al. (2017) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1375556 · Cited by 308 · see citing works
Huang, S., Zhang, Y.-R., Guo, Y., Du, J., Ren, P., Wu, B., Feng, J., Initiative, A. D. N., Cheng, W., & Yu, J. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13789 · Cited by 292 · see citing works
Tau PET imaging: present and future directions
Saint‐Aubert, L., Lemoine, L., Chiotis, K., Leuzy, A., Rodriguez‐Vieitez, E., & Nordberg, A. K. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0162-3 · Cited by 283 · see citing works
Hampel, H., Hu, Y., Cummings, J., Mattke, S., Iwatsubo, T., Nakamura, A., Vellas, B., O’Bryant, S., Shaw, L. M., Cho, M., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.05.017 · Cited by 283 · see citing works
Shaw, 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
Cerebrospinal fluid biomarkers measured by Elecsys assays compared to amyloid imaging
Schindler, S. E., Gray, J. D., Gordon, B. A., Xiong, C., Batrla‐Utermann, R., Quan, M., Wahl, S., Benzinger, T. L. S., Holtzman, D. M., Morris, J. C., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.01.013 · Cited by 284 · see citing works
Cerebrospinal 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
The Role of Amyloid PET in Imaging Neurodegenerative Disorders: A Review
Chapleau, M., Iaccarino, L., Soleimani‐Meigooni, D. N., & Rabinovici, G. D. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263195 · Cited by 264 · see citing works
Staging <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-citationMilà‐Alomà, M., Salvadó, G., Gispert, J. D., Vilor‐Tejedor, N., Grau‐Rivera, O., Sala‐Vila, A., Sánchez‐Benavides, G., Arenaza‐Urquijo, E. M., Crous‐Bou, M., González‐de‐Echávarri, J. M., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12131 · Cited by 241 · see citing works
Poor sleep is associated with CSF biomarkers of amyloid pathology in cognitively normal adults
Sprecher, K. E., Koscik, R. L., Carlsson, C. M., Zetterberg, H., Blennow, K., Okonkwo, O. C., Sager, M. A., Asthana, S., Johnson, S. C., Benca, R. M., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004171 · Cited by 221 · see citing works
Plasma biomarkers for Alzheimer’s Disease in relation to neuropathology and cognitive change
Smirnov, D. S., Ashton, N. J., Blennow, K., Zetterberg, H., Simrén, J., Lantero‐Rodriguez, J., Karikari, T. K., Hiniker, A. O., Rissman, R. A., Salmon, D. P., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02408-5 · Cited by 221 · see citing works
Untangling the association of amyloid-β and tau with synaptic and axonal loss in Alzheimer’s disease
Pereira, J. B., Janelidze, S., Ossenkoppele, R., Kvartsberg, H., Brinkmalm, A., Mattsson, N., Stomrud, E., Smith, R. A., Zetterberg, H., Blennow, K., et al. (2020) · Brain · doi:10.1093/brain/awaa395 · Cited by 201 · see citing works
Self-citationBiomarker-based staging of Alzheimer disease: rationale and clinical applications
Therriault, J., Schindler, S. E., Salvadó, G., Pascoal, T. A., Benedet, A. L., Ashton, N. J., Karikari, T. K., Apostolova, L. G., Murray, M. E., Verberk, I. M. W., et al. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00942-2 · Cited by 206 · see citing works
Self-citationCentiloid cut-off values for optimal agreement between PET and CSF core AD biomarkers
for the Alzheimer’s Disease Neuroimaging Initiative, F. T. A. S., Salvadó, G., Molinuevo, J. L., Brugulat-Serrat, A., Falcon, C., Grau-Rivera, O., Suárez-Calvet, M., Pavia, J., Niñerola-Baizán, A., Perissinotti, A., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0478-z · Cited by 195 · see citing works
Diagnostic biomarkers of Alzheimer’s disease: A state-of-the-art review
Khoury, R., & Ghossoub, E. (2019) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2019.100005 · Cited by 157 · see citing works
Gordon, B. A., Blazey, T. M., Christensen, J., Dincer, A., Flores, S., Keefe, S., Chen, C., Su, Y., McDade, E. M., Wang, G., et al. (2019) · Brain · doi:10.1093/brain/awz019 · Cited by 180 · see citing works
Veitch, D. P., Weiner, M. W., Aisen, P. S., Beckett, L. A., DeCarli, C., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., Landau, S. M., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12422 · Cited by 184 · see citing works
Distinct 18F-AV-1451 tau PET retention patterns in early- and late-onset Alzheimer’s disease
Schöll, M., Ossenkoppele, R., Strandberg, O., Palmqvist, S., study, T. S. B., Jögi, J., Ohlsson, T., Smith, R., & Hansson, O. (2017) · Brain · doi:10.1093/brain/awx171 · Cited by 180 · see citing works
Self-citationBrand, A. L., Lawler, P. E., Bollinger, J. G., Li, Y., Schindler, S. E., Li, M., Lopez, S., Ovod, V., Nakamura, A., Shaw, L. M., et al. (2022) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01117-1 · Cited by 151 · see citing works
Self-citationSutphen, C. L., McCue, L., Herries, E. M., Xiong, C., Ladenson, J. H., Holtzman, D. M., Fagan, A. M., & On behalf of, A. D. N. I. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.01.012 · Cited by 162 · see citing works
The Role of Biomarkers in Alzheimer’s Disease Drug Development
Cummings, J. L. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-05542-4_2 · Cited by 150 · 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
Knopman, D. S., Haeberlein, S. B., Carrillo, M. C., Hendrix, J. A., Kerchner, G., Margolin, R. A., Maruff, P. T., Miller, D. S., Tong, G., Tome, M. B., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.03.002 · Cited by 140 · see citing works
Self-citationNew landscape of the diagnosis of Alzheimer’s disease
Frisoni, G. B., Hansson, O., Nichols, E., Garibotto, V., Schindler, S. E., van der Flier, W. M., Jessen, F., Villain, N., Arenaza-Urquijo, E. M., Crivelli, L., et al. (2025) · The Lancet · doi:10.1016/s0140-6736(25)01294-2 · Cited by 143 · see citing works
Self-citationRoberts, B. R., Lind, M., Wagen, A. Z., Rembach, A., Frugier, T., Li, Q.-X., Ryan, T. M., McLean, C. A., Doecke, J. D., Rowe, C. C., et al. (2017) · Brain · doi:10.1093/brain/awx057 · Cited by 143 · see citing works
Alzheimer’s disease profiled by fluid and imaging markers: tau PET best predicts cognitive decline
Bucci, M., Chiotis, K., Nordberg, A., & Initiative, F. T. A. D. N. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01263-2 · Cited by 140 · see citing works
Hulle, C. V., Jonaitis, E. M., Betthauser, T. J., Batrla, R., Wild, N., Kollmorgen, G., Andréasson, U., Okonkwo, O. C., Bendlin, B. B., Asthana, S., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12204 · Cited by 137 · see citing works
Mattsson, N., Grinberg, L. T., Boxer, A. L., Ossenkoppele, R., Jonsson, M., Seeley, W., Ehrenberg, A. J., Spina, S., Janelidze, S., Rojas-Martinex, J., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200040 · Cited by 136 · see citing works
Self-citationLeuzy, 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
Cerebrospinal Fluid Biomarkers for Early and Differential Alzheimer’s Disease Diagnosis
Bjerke, M., & Engelborghs, S. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170680 · Cited by 132 · see citing works
The 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-citationHansson, O., Mikulskis, A., Fagan, A. M., Teunissen, C. E., Zetterberg, H., Vanderstichele, H., Molinuevo, J. L., Shaw, L. M. J., Vandijck, M. L. J., Verbeek, M. M., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.05.008 · Cited by 122 · see citing works
Self-citationMeyer, 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
Amyloid 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
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
Disease staging of Alzheimer’s disease using a CSF-based biomarker model
Salvadó, G., Horie, K., Barthélemy, N. R., Vogel, J. W., Binette, A. P., Chen, C. D., Aschenbrenner, A. J., Gordon, B. A., Benzinger, T. L. S., Holtzman, D. M., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00599-y · Cited by 120 · see citing works
Self-citationNeurochemical Aftermath of Repetitive Mild Traumatic Brain Injury
Shahim, P., Tegner, Y., Gustafsson, B., Gren, M., Ärlig, J., Olsson, M. A., Lehto, N., Engström, Å. H., Höglund, K., Portelius, E., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2038 · Cited by 113 · see citing works
Therapeutic potential of curcumin for multiple sclerosis
Qureshi, M., Al-Suhaimi, E. A., Wahid, F., Shehzad, O., & Shehzad, A. (2017) · Neurological Sciences · doi:10.1007/s10072-017-3149-5 · Cited by 112 · see citing works
Precision pharmacology for Alzheimer’s disease
Hampel, H. J., Vergallo, A., Aguilar, L. F., Benda, N., Broich, K., Cuello, A. C., Cummings, J. L., Dubois, B., Federoff, H. J., Fiandaca, M. S., et al. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.02.014 · Cited by 112 · see citing works
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 · see citing works
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 107 · see citing works
Mullane, K., & Williams, M. J. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.113945 · Cited by 106 · see citing works
Dementia with Lewy bodies: Impact of co‐pathologies and implications for clinical trial design
Toledo, J. B., Ruiz, C. A., Weil, R. S., Ferreira, D., Rodriguez‐Porcel, F. E., Pilotto, A., Wyman‐Chick, K. A., Grothe, M. J., Kane, J. P. M., Taylor, A., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12814 · Cited by 109 · see citing works
Keshavan, A., Pannee, J., Karikari, T. K., Lantero‐Rodriguez, J., Ashton, N. J., Nicholas, J. M., Cash, D. M., Coath, W., Lane, C., Parker, T. D., et al. (2020) · Brain · doi:10.1093/brain/awaa403 · Cited by 103 · see citing works
Emerging cerebrospinal fluid biomarkers in autosomal dominant Alzheimer's disease
Schindler, S. E., Li, Y., Todd, K. W., Herries, E. M., Henson, R. L., Gray, J. D., Wang, G., Graham, D. L., Shaw, L. M., Trojanowski, J. Q., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.12.019 · Cited by 101 · see citing works
Alemany, S., Crous‐Bou, M., Vilor‐Tejedor, N., Milà‐Alomà, M., Suárez‐Calvet, M., Salvadó, G., Cirach, M., Arenaza‐Urquijo, E. M., Sánchez‐Benavides, G., Grau‐Rivera, O., et al. (2021) · Environment International · doi:10.1016/j.envint.2021.106864 · Cited by 101 · see citing works
Comparing 18 F-AV-1451 with CSF t-tau and p-tau for diagnosis of Alzheimer disease
Mattsson, N., Smith, R. A., Strandberg, O. T., Palmqvist, S., Schöll, M., Insel, P. S., Hägerström, D., Ohlsson, T. G., Zetterberg, H., Blennow, K., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000004887 · Cited by 95 · 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
Niemantsverdriet, 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
Considerations in the clinical use of amyloid PET and CSF biomarkers for Alzheimer's disease
Leuzy, A., Bollack, A., Pellegrino, D., Teunissen, C. E., Joie, R. L., Rabinovici, G. D., Franzmeier, N., Johnson, K. A., Barkhof, F., Shaw, L. M. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14528 · Cited by 97 · see citing works
Self-citationWei, K., Tran, T. T., Chu, K. C. W., Borzage, M., Braskie, M. N., Harrington, M. G., & King, K. S. (2019) · Brain and Behavior · doi:10.1002/brb3.1457 · Cited by 88 · see citing works
Molecular imaging in dementia: Past, present, and future
Laforce, R. J., Soucy, J., Sellami, L., Dallaire‐Théroux, C., Brunet, F., Bergeron, D., Miller, B. L., & Ossenkoppele, R. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.06.2855 · Cited by 87 · see citing works
Uhlmann, R. E., Rother, C., Rasmussen, J., Schelle, J., Bergmann, C., Ullrich Gavilanes, E. M., Fritschi, S. K., Buehler, A., Baumann, F., Skodras, A., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00737-w · Cited by 87 · 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
Gordon, B. A., McCullough, A. A., Mishra, S., Blazey, T., Su, Y., Christensen, J., Dincer, A., Jackson, K., Hornbeck, R. C., Morris, J. C., et al. (2018) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2018.02.003 · Cited by 86 · see citing works
A plasma protein classifier for predicting amyloid burden for preclinical Alzheimer’s disease
Ashton, N. J., Nevado‐Holgado, A. J., Barber, I., Lynham, S., Gupta, V. B., Chatterjee, P., Goozee, K. G., Hone, E., Pedrini, S., Blennow, K., et al. (2019) · Science Advances · doi:10.1126/sciadv.aau7220 · Cited by 83 · see citing works
<i>APOE</i> ε4 associates with microglial activation independently of Aβ plaques and tau tangles
Ferrari-Souza, J. P., Lussier, F. Z., Leffa, D. T., Therriault, J., Tissot, C., Bellaver, B., Ferreira, P. C. L., Malpetti, M., Wang, Y.-T., Povala, G., et al. (2023) · Science Advances · doi:10.1126/sciadv.ade1474 · Cited by 81 · see citing works
Iaccarino, L., Burnham, S. C., Dell’Agnello, G., Dowsett, S. A., & Epelbaum, S. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.43 · Cited by 81 · see citing works
Latest advances in cerebrospinal fluid and blood biomarkers of Alzheimer’s disease
Milà‐Alomà, M., Suárez‐Calvet, M., & Molinuevo, J. L. (2019) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756286419888819 · Cited by 78 · see citing works
Tosun, D., Veitch, D. P., Aisen, P. S. S., Jack, C. R., Jagust, W. J., Petersen, R. C., Saykin, A. J., Bollinger, J., Ovod, V., Mawuenyega, K. G., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab008 · Cited by 85 · 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-citationComparing tau status determined via plasma pTau181, pTau231 and [18F]MK6240 tau-PET
Tissot, C., Therriault, J., Kunach, P., Benedet, A. L., Pascoal, T. A., Ashton, N. J., Karikari, T. K., Servaes, S., Lussier, F. Z., Chamoun, M., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2022.103837 · Cited by 75 · see citing works
The 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
Concordance of Lumipulse cerebrospinal fluid t‐tau/Aβ42 ratio with amyloid PET status
Kaplow, J., Vandijck, M., Gray, J., Kanekiyo, M., Huyck, E., Traynham, C. J., Esquivel, R., Fagan, A. M., & Luthman, J. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12000 · Cited by 81 · see citing works
Racine, 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
Increasing the reproducibility of fluid biomarker studies in neurodegenerative studies
Mattsson, N., Palmqvist, S., Blennow, K., & Hansson, O. (2020) · Nature Communications · doi:10.1038/s41467-020-19957-6 · Cited by 69 · 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
No association of salivary total tau concentration with Alzheimer's disease
Ashton, N. J., Ide, M., Schöll, M., Blennow, K., Lovestone, S., Hye, A., & Zetterberg, H. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.06.014 · Cited by 70 · see citing works
Fantoni, E. R., Chalkidou, A., O’ Brien, J. T., Farrar, G., & Hammers, A. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-171093 · Cited by 68 · see citing works
Leuzy, 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-citationPlasma Phosphorylated Tau 217 to Identify Preclinical Alzheimer Disease
Salvadó, G., Janelidze, S., Bali, D., Dolado, A. O., Therriault, J., Brum, W. S., Binette, A. P., Stomrud, E., Mattsson, N., Palmqvist, S., et al. (2025) · JAMA Neurology · doi:10.1001/jamaneurol.2025.3217 · Cited by 71 · see citing works
Self-citationQuantitative amyloid PET in Alzheimer's disease: the AMYPAD prognostic and natural history study
Alves, I. L., Collij, L. E., Altomare, D., Frisoni, G. B., Saint‐Aubert, L., Payoux, P., Kivipelto, M., Jessen, F., Drzezga, A. E., Leeuwis, A. E., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12069 · Cited by 68 · see citing works
Chhatwal, J. P., Schultz, A. P., Dang, Y., Ostaszewski, B., Liu, L., Yang, H.-S., Johnson, K. A., Sperling, R. A., & Selkoe, D. J. (2020) · Nature Communications · doi:10.1038/s41467-020-19543-w · Cited by 60 · see citing works
Guo, Y. X., Chen, S.-D., You, J., Huang, S.-Y., Chen, Y., Zhang, Y., Wang, L., He, X., Deng, Y., Zhang, Y.-R., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01924-6 · Cited by 65 · see citing works
Palmqvist, S., Insel, P. S., Zetterberg, H., Blennow, K., Brix, B., Stomrud, E., Initiative, T. A. D. N., study, T. S. B., Mattsson, N., & Hansson, O. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.08.014 · Cited by 65 · see citing works
Self-citation
- Authors
- Palmqvist, S., Mattsson, N., Hansson, O., & Initiative, F. T. A. D. N.
- Affiliations
- Lund University (SE)
- Corresponding author
- Palmqvist, Sebastian
- Hansson, Oskar
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-03-02
- Volume
- 139
- Issue
- 4
- Pages
- 1226-1236
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC4806222
- OpenAlex
- W2302528231
- Cited by
- 400
- References
- 59
- Citations by year
- 2026: 32 · 2025: 41 · 2024: 33 · 2023: 31 · 2022: 36 · 2021: 58 · 2020: 50 · 2019: 43 · 2018: 38 · 2017: 25 · 2016: 11
- FWCI
- 34.64
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Brain (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Lunds Universitet
- National Institutes of Health (5u01ag024904-10)
- Canadian Institutes of Health Research
- National Institute on Aging (U01-AG-024904)
- 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
- cerebrospinal fluid amyloid-beta 42, amyloid PET, florbetapir, preclinical Alzheimer's disease, standardized uptake value ratio, memory decline, hippocampal volume, Alzheimer's dementia, biomarker comparison, ADNI cohort, longitudinal follow-up
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Cerebral Cortex, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Peptide Fragments, Prospective Studies, Amyloid beta-Peptides, Early Diagnosis, Positron-Emission Tomography
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