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Preclinical Alzheimer’s Disease: Definition, Natural History, and Diagnostic Criteria
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During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD) considering the disease as a continuum. Thanks to evolving biomarker research and substantial discoveries, it is now possible to identify the disease even at the preclinical stage before the occurrence of the first clinical symptoms. This preclinical stage of AD has become a major research focus as the field postulates that early intervention may offer the best chance of therapeutic success. To date, very little evidence is established on this “silent” stage of the disease. A clarification is needed about the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage. This article is aimed at addressing all the different issues by providing for each of them an updated review of the literature and evidence, with practical recommendations.
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“This could explain why part of the risk factors for cardiovascular disease are in common with AD, including hypertension, dyslipidemia, diabetes, obesity, dietary factors, smoking, and physical activity (Figure 1B).”
From Alzheimer's Disease: Treatment Strategies and Their Limitations. (2022) · cites this paper as [22]
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“Thus, lifestyle is also an important risk factor, where intellectual, physical, and social activities, as well as diet, may help to prevent AD [1,22,100,101,102,103].”
From Alzheimer's Disease: Treatment Strategies and Their Limitations. (2022) · cites this paper as [22]
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“Thus, the disease is now regarded as a continuum rather than three distinct clinically defined entities [15].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [15]
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“While differences remain, IWG 2016 and the NIA research framework are aligned on the key issue that the combination of an abnormal Aβ and tau biomarker constitutes AD regardless of cognitive symptoms, and thus AD is a biologically defined entity throughout its continuum.”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [15]
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“Furthermore, drug development research for AD has become more complicated as preclinical and prodromal AD populations are potentially included in current trials, as well as traditionally included populations of all the clinical stages of AD dementia.38”
From Current and Future Treatments in Alzheimer Disease: An Update (2020) · cites this paper as [38]
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“Although the use of clinical trial simulators is not frequent in recent research,38”
From Current and Future Treatments in Alzheimer Disease: An Update (2020) · cites this paper as [38]
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“This asymptomatic phase of AD (AsymAD) is currently considered a preclinical stage of the disease [27, 28].”
From Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease (2018) · cites this paper as [27]
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Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 1×
“From the tau protein perspective, one study showed that alterations in CSF levels of p-tau may precede those of Ab [57], which correlates with postmortem evidence showing the presence of neurofibrillary tangles in the entorhinal cortex and in hippocampal-related structures [58,59] as the first neuropathologic event in…”
ResultCorder, E. H., Saunders, A. M., Strittmatter, W. J., Schmechel, D. E., Gaskell, P. C., Small, G. W., Roses, A. D., Haines, J. L., & Pericak-Vance, M. A. (1993) · Science · doi:10.1126/science.8346443 · Cited by 9,429
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
Self-citationBiomarkers and surrogate endpoints: Preferred definitions and conceptual framework
Biomarkers Definitions Working Group (2001) · Clinical Pharmacology & Therapeutics · doi:10.1067/mcp.2001.113989 · Cited by 6,771
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Exercise training increases size of hippocampus and improves memory
Erickson, K. I., Voss, M. W., Prakash, R. S., Basak, C., Szabo, A., Chaddock, L., Kim, J. S., Heo, S., Alves, H., White, S. M., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015950108 · Cited by 4,855
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
Self-citationJack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
Self-citationMeta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336
Self-citationClinical 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
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Tomassen, J., den Braber, A., van der Lee, S. J., Reus, L. M., Konijnenberg, E., Carter, S. F., Yaqub, M. M., van Berckel, B. N. M., Collij, L. E., Boomsma, D. I., et al. (2022) · BMC Neurology · doi:10.1186/s12883-022-02925-6 · Cited by 18
Self-citationWang, C., Kang, Y., Liu, P., Liu, W., Chen, W., Hayashi, T., Mizuno, K., Hattori, S., Fujisaki, H., & Ikejima, T. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114260 · Cited by 18
Butterfield, D. A., Debra Boyd-kimball, A., & Reed, T. T. (2023) · Antioxidants and Redox Signaling · doi:10.1089/ars.2022.0214 · Cited by 20
An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease
Turrisi, R., Squillario, M., Abate, G., Uberti, D. L., & Barla, A. (2023) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2023.3268729 · Cited by 18
A meta-analysis of the relationship between sleep and β-Amyloid biomarkers in Alzheimer’s disease
Harenbrock, J., Holling, H., Reid, G., & Koychev, I. G. (2023) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2023.100068 · Cited by 20
COVID‐19 and the impact on Alzheimer's disease pathology
Furman, S., Green, K. N., & Lane, T. E. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15985 · Cited by 18
Haidar, H., Majzoub, R. E., Hajeer, S., & Abbas, L. A. (2023) · BMC Neurology · doi:10.1186/s12883-023-03432-y · Cited by 20
Astrocytes in the adult dentate gyrus—balance between adult and developmental tasks
Chalmers, N., Masouti, E., & Beckervordersandforth, R. (2024) · Molecular Psychiatry · doi:10.1038/s41380-023-02386-4 · Cited by 19
Muraleedharan, A., & Ray, S. K. (2024) · Brain Sciences · doi:10.3390/brainsci14010096 · Cited by 20
Leow, Y. J., Soo, S. A., Kumar, D., Zailan, F. Z., Sandhu, G. K., Vipin, A., Lee, F. P. H. E., Ghildiyal, S., Liew, S. Y., Dang, C., et al. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-230898 · Cited by 18
A novel speech analysis algorithm to detect cognitive impairment in a Spanish population
Kaser, A. N., Lacritz, L. H., Winiarski, H. R., Gabirondo, P., Schaffert, J., Coca, A. J., Jiménez-Raboso, J., Rojo, T., Zaldua, C., Honorato, I., et al. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1342907 · Cited by 18
Amyloid and SCD jointly predict cognitive decline across Chinese and German cohorts
Shao, K., Hu, X., Kleineidam, L., Stark, M., Altenstein, S., Amthauer, H., Boecker, H., Buchert, R., Büerger, K., Butryn, M., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14119 · Cited by 18
Morello, M., Pieri, M., Zenobi, R., Talamo, A., Stephan, D., Landel, V., Feron, F. P., & Millet, P. (2020) · Current Pharmaceutical Design · doi:10.2174/1381612826666200316145725 · Cited by 18
Angehrn, Z., Sostar, J., Nordon, C., Turner, A. J., Gove, D., Karcher, H., Keenan, A., Mittelstadt, B., & de Vulpillieres, F. D. R. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191159 · Cited by 21
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Fruijtier, A. D., Visser, L. N. C., Bouwman, F. H., Lutz, R., Schoonenboom, N. S. M., Kalisvaart, K. J., Hempenius, L., Roks, G., Boelaarts, L., Claus, J. J., et al. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12113 · Cited by 17
Sarfraz, R., Aqeel, M., Lactao, J., & Khan, S. (2021) · doi:10.53107/nnjp.v1i1.8 · Cited by 19
An Open Question: Is the A2A Adenosine Receptor a Novel Target for Alzheimer’s Disease Treatment?
Merighi, S., Poloni, T. E., Pelloni, L., Pasquini, S., Varani, K., Vincenzi, F., Borea, P. A., & Gessi, S. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.652455 · Cited by 18
A Primer on Hyperdimensional Computing for iEEG Seizure Detection
Schindler, K. A., & Rahimi, A. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.701791 · Cited by 20
Pharmacogenomics of Alzheimer’s Disease: Novel Strategies for Drug Utilization and Development
Cacabelos, R., Naidoo, V., Martínez-Iglesias, O. A., Corzo, L., Cacabelos, N., Pego, R., & Carril, J. C. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2573-6_13 · Cited by 19
Research trends and hotspots of exercise for Alzheimer’s disease: A bibliometric analysis
Chen, B., Fu, Y., Song, G., Zhong, W., & Guo, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.984705 · Cited by 18
Ward, D. D., Andel, R., Saunders, N. L., Thow, M. E., Klekociuk, S. Z., Bindoff, A. D., & Vickers, J. C. (2017) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.04.006 · Cited by 18
Development of tau PET Imaging Ligands and their Utility in Preclinical and Clinical Studies
Choi, Y., Ha, S., Lee, Y., Kim, Y. K., Lee, D. S., & Kim, D. J. (2017) · Nuclear Medicine and Molecular Imaging · doi:10.1007/s13139-017-0484-7 · Cited by 18
ICD-11: Neurokognitive Störungen
Jessen, F., & Frölich, L. (2018) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/s-0044-101607 · Cited by 21
Location and temporal memory of objects declines in aged marmosets (Callithrix jacchus)
De Castro, V., & Girard, P. (2021) · Scientific Reports · doi:10.1038/s41598-021-88357-7 · Cited by 17
Basanta-Torres, S., Rivas‐Fernández, M. Á., & Galdo‐Álvarez, S. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111028 · Cited by 19
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Afshar, S., Dammer, E. B., Bian, S., Bennett, D. A., Mohs, R. C., Beauregard, D., Dwyer, J. R., Hales, C. M., Goldstein, F. C., Parker, M. W., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00965-4 · Cited by 23
An update on magnetic resonance imaging markers in AD
Leocadi, M., Canu, E., Calderaro, D., Corbetta, D., Filippi, M., & Agosta, F. (2020) · Therapeutic Advances in Neurological Disorders · doi:10.1177/1756286420947986 · Cited by 17
Can the RAVLT predict deterioration from MCI to dementia? Data from long term follow up
Dawidowicz, L., Ash, E. L., Korczyn, A. D., Andelman, F., Levy, S., & Elkana, O. (2021) · Experimental Aging Research · doi:10.1080/0361073x.2021.1898182 · Cited by 17
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Mentink, L. J., Guimaraes, J., Faber, M., Sprooten, E., Rikkert, M. G. M. O., Haak, K. V., & Beckmann, C. F. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118304 · Cited by 16
Couple and family interventions for high mortality health conditions: A strategic review (2010–2019)
Lamson, A. L. S., Hodgson, J., Pratt, K. J., Mendenhall, T. J., Wong, A. G., Sesemann, E. M., Brown, B. J., Taylor, E. S., Williams‐Reade, J., Blocker, D. J., et al. (2021) · Journal of Marital and Family Therapy · doi:10.1111/jmft.12564 · Cited by 21
Shojaie, M., Tabarestani, S., Cabrerizo, M., DeKosky, S. T., Vaillancourt, D. E., Loewenstein, D., Duara, R., & Adjouadi, M. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210064 · Cited by 17
O’Boyle, S., Nacul, L., Nácul, F. E., Mudie, K., Kingdon, C. C., Cliff, J. M., Clark, T. G., Dockrell, H. M., & Lacerda, E. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2021.688159 · Cited by 18
Blood‐based biomarkers in Alzheimer's disease: Future directions for implementation
Suridjan, I., van der Flier, W. M., Monsch, A. U., Burnie, N., Baldor, R. A., Sabbagh, M. N., Vilaseca, J., Cai, D., Carboni, M., & Lah, J. J. (2023) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12508 · Cited by 15
Harrison, M. A. A., Morris, S. L., Rudman, G. A., Rittenhouse, D. J., Monk, C. H., Sakamuri, S. S. V. P., Jones, M., Hasan, M. M., Khatun, M. S., Wang, H., et al. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2023.12.033 · Cited by 19
Epigenetics in Alzheimer’s Disease: A Critical Overview
Villa, C., & Combi, R. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25115970 · Cited by 18
Turrisi, R., Verri, A., & Barla, A. (2024) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2024.1360095 · Cited by 28
Kaur, A., Rohit, & Aran, K. R. (2025) · Brain Research · doi:10.1016/j.brainres.2025.149472 · Cited by 17
Identifying memory impairment and early dementia in primary care
Grober, E. H., Wakefield, D. B., Ehrlich, A. R., Mabie, P. C., & Lipton, R. B. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.01.006 · Cited by 17
Khoury, R., & Grossberg, G. T. (2018) · CNS Drugs · doi:10.1007/s40263-018-0590-9 · Cited by 16
Practical algorithms for amyloid β probability in subjective or mild cognitive impairment
Maserejian, N. N., Bian, S., Wang, W., Jaeger, J., Syrjanen, J. A., Aakre, J. A., Jack, C. R., Mielke, M. M., & Gao, F. (2019) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.09.001 · Cited by 17
Self-citationHistory in perspective: How Alzheimer's Disease came to be where it is?
Ahmed, T. F., Ahmed, A., & Imtiaz, F. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147342 · Cited by 21
Vonk, J. M. J., Greving, J. P., Gudnason, V. G., Launer, L. J., & Geerlings, M. I. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00785-x · Cited by 19
Arakaki, X., Hung, S., Rochart, R., Fonteh, A. N., & Harrington, M. G. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.11.009 · Cited by 18
Farhani, F., Shahrbanian, S., Auais, M. A., Hekmatikar, A. H. A., & Suzuki, K. (2022) · Brain Sciences · doi:10.3390/brainsci12060732 · Cited by 19
Duarte-Abritta, B., Villarreal, M. F., Abulafia, C., Loewenstein, D., Curiel, R. E., Castro, M. N., Surace, E. I., Sánchez, S. M., Vigo, D. E., Vázquez, S., et al. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.10.008 · Cited by 17
Performance evaluation of the mouse version of the LabPET II PET scanner
Gaudin, É., Thibaudeau, C., Arpin, L., Leroux, J.-D., Toussaint, M., Beaudoin, J.-F., Cadorette, J., Paillé, M., Pepin, C. M., Koua, K., et al. (2021) · Physics in Medicine & Biology · doi:10.1088/1361-6560/abd952 · Cited by 16
Koops, E. A., Dutta, J., Hanseeuw, B. J., Becker, J. A., Egroo, M. V., Prokopiou, P. C., Price, J. C., Arnold, S. E., Sperling, R. A., Johnson, K. A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14385 · Cited by 16
Self-citationShankar, R., Bundele, A., & Mukhopadhyay, A. (2025) · Mayo Clinic Proceedings Digital Health · doi:10.1016/j.mcpdig.2025.100205 · Cited by 19
Preclinical models of disease and multimorbidity with focus upon cardiovascular disease and dementia
Shabir, O., Moll, T., Matuszyk, M. M., Eyre, B., Dake, M. D., Berwick, J., & Francis, S. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111361 · Cited by 17
Sørensen, Ø., Fjell, A. M., & Walhovd, K. B. (2023) · Psychometrika · doi:10.1007/s11336-023-09910-z · Cited by 20
The changing definition of Alzheimer's disease
Jagust, W. J. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00077-6 · Cited by 15
Chan, R. N. F., Tang, Z., Chan, V. T. T., Chan, R. N. C., Cheng, E. T. W., Ng, N. C. Y., & Cheung, C. Y.-L. (2022) · Eye · doi:10.1038/s41433-022-02033-2 · Cited by 17
Sun, M., Wang, Y., Li, R., Jiang, J., Zhang, Y., Li, W., Zhang, Y., Jia, Z., Chappell, M. A., & Xu, J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.934471 · Cited by 16
Cox, C. G., Davis, M., Grill, J. D., & Roberts, J. S. (2022) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2022.86 · Cited by 16
Gagliardi, G. P., Rodriguez‐Vieitez, E., Montal, V., Sepulcre, J., Diez, I. P., Lois, C., Hanseeuw, B. J., Schultz, A. P., Properzi, M. J., Papp, K. V., et al. (2023) · Communications Medicine · doi:10.1038/s43856-023-00324-7 · Cited by 16
Self-citationLegault, J., Thompson, C., Moullec, G., Baril, A., Martineau‐Dussault, M., André, C., Marchi, N. A., Cross, N. E., Dang‐Vu, T. T., Carrier, J., et al. (2023) · Sleep Medicine · doi:10.1016/j.sleep.2023.09.029 · Cited by 19
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Wang, X., Wang, J., Chen, Y., Qian, X., Luo, S., Wang, X., Ma, C., & Ge, W. (2024) · Nature Communications · doi:10.1038/s41467-024-46899-0 · Cited by 16
Impact of amyloid and tau positivity on longitudinal brain atrophy in cognitively normal individuals
Fujishima, M., Kawasaki, Y., Mitsuhashi, T., Matsuda, H., & Initiative, A. D. N. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01450-7 · Cited by 17
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Charisis, S., Short, M. I., Bernal, R., Kautz, T. F., Trevino, H., Mathews, J. J., Velarde, A. G., Muhammad, J. A. S., Luckey, A. M., Aslam, A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13879 · Cited by 15
Gehlot, P., Pathak, R., Kumar, S., Choudhary, N. K., & Vyas, V. K. (2024) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2024.117925 · Cited by 18
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Proteomic signatures of Alzheimer's disease and Lewy body dementias: A comparative analysis
Canal-García, A., Branca, R. M., Francis, P. T., Ballard, C. G., Winblad, B. G., Lehtiö, J., Nilsson, P., Aarsland, D., Pereira, J. B., & Bereczki, E. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14375 · Cited by 21
Marková, H., Nikolai, T., Mazancová, A. F., Čechová, K., Sheardová, K., Georgi, H. S., Kopeček, M., Laczó, J., Hort, J., & Vyhnálek, M. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180630 · Cited by 18
Loughrey, D. G., Parra, M. A., & LAWLOR, B. A. (2019) · Scientific Reports · doi:10.1038/s41598-019-49023-1 · Cited by 16
Apolipoprotein E4, amyloid, and cognition in Alzheimer's and Lewy body disease
Jung, J. H., Jeon, S., Baik, K., Lee, Y. H., Chung, S. J., Yoo, H. S., Jeong, S. H., Sohn, Y. H., Lee, P. H., & Ye, B. S. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.06.004 · Cited by 16
Treyer, V., Meyer, R., Buchmann, A., Crameri, G. A. G., Studer, S. T., Saake, A., Gruber, E., Unschuld, P. G., Nitsch, R. M., Höck, C., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0247225 · Cited by 18
Li, B., Jang, I., Riphagen, J. M., Almaktoum, R., Yochim, K. M., Ances, B. M., Bookheimer, S. Y., Salat, D. H., & Initiative, A. D. N. (2021) · Human Brain Mapping · doi:10.1002/hbm.25626 · Cited by 16
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Li, T., Dong, Q., Jiang, X., Kang, G., Li, X., Xie, Y., Jiang, J., & Han, Y. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102900 · Cited by 16
Taylor, M., Sullivan, D. K., Keller, J. E., Burns, J. M., & Swerdlow, R. H. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.899612 · Cited by 17
Basselerie, H., Bracoud, L., Zeestraten, E., Bouguen, E., Kiyasova, V., Pueyo, M. E., Cognard, C., Dumas, H., Gramada, R., Ousset, P., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170470 · Cited by 19
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Self-citation
Metadata
- Authors
- Dubois, B., Hampel, H., Feldman, H. H., Scheltens, P., Aisen, P., Andrieu, S., Bakardjian, H., Benali, H., Bertram, L., Blennow, K., Broich, K., Cavedo, E., Crutch, S., Dartigues, J., Duyckaerts, C., Epelbaum, S., Frisoni, G. B., Gauthier, S., Genthon, R., Gouw, A. A., Habert, M., Holtzman, D. M., Kivipelto, M., Lista, S., Molinuevo, J., O'Bryant, S. E., Rabinovici, G. D., Rowe, C., Salloway, S., Schneider, L. S., Sperling, R., Teichmann, M., Carrillo, M. C., Cummings, J., Jack, C. R., & Proceedings of the Meeting of the International Working Group (IWG) and the American Alzheimer's Association on “The Preclinical State of AD”; July 23, 2. W. D.
- Affiliations
- Sorbonne Université (FR)
- University of British Columbia (CA)
- Amsterdam Neuroscience (NL)
- University of Southern California (US)
- Université Toulouse III - Paul Sabatier (FR)
- Institut du Cerveau (FR)
- Centre National de la Recherche Scientifique (FR)
- Institute for Integrative and Experimental Genomics (DE)
- Sahlgrenska University Hospital (SE)
- Federal Institute for Drugs and Medical Devices (DE)
- Centro San Giovanni di Dio Fatebenefratelli (IT)
- UCL Queen Square Institute of Neurology (GB)
- Université de Bordeaux (FR)
- University of Geneva (CH)
- Douglas Mental Health University Institute (CA)
- Fondation pour la Recherche sur Alzheimer Hôpital Pitié‐Salpêtrière Paris France
- Washington University in St. Louis (US)
- Karolinska University Hospital (SE)
- AXA Research Fund (FR)
- Alzheimer's Disease and Other Cognitive Disorders Unit, Hospital Clínic Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) Barcelona Spain
- Center for Alzheimer's & Neurodegenerative Disease Research University of North Texas Health Science Center TX USA
- University of California, San Francisco (US)
- The University of Melbourne (AU)
- Brown University (US)
- Brigham and Women's Hospital (US)
- The Alzheimer's Association Division of Medical & Scientific Relations Chicago USA
- Cleveland Clinic (US)
- Department of Radiology Mayo Clinic Rochester MN USA
- Corresponding author
- Dubois, Bruno
- ORCID
- Dubois, Bruno
- Hampel, Harald
- Feldman, Howard H.
- Scheltens, Philip
- Andrieu, Sandrine
- Bakardjian, Hovagim
- Benali, Habib
- Bertram, Lars
- Blennow, Kaj
- Broich, Karl
- Cavedo, Enrica
- Crutch, Sebastian
- Dartigues, Jean‐François
- Duyckaerts, Charles
- Epelbaum, Stéphane
- Frisoni, Giovanni B.
- Gauthier, Serge
- Gouw, Alida A.
- Habert, Marie‐Odile
- Holtzman, David M.
- Kivipelto, Miia
- Lista, Simone
- Rabinovici, Gil D.
- Rowe, Christopher
- Salloway, Stephen
- Schneider, Lon S.
- Sperling, Reisa
- Teichmann, Marc
- Cummings, Jeffrey
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2016-03
- Volume
- 12
- Issue
- 3
- Pages
- 292-323
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC6417794
- OpenAlex
- W2309442902
- Cited by
- 1,925
- References
- 298
- Citations by year
- 2026: 115 · 2025: 176 · 2024: 244 · 2023: 245 · 2022: 247 · 2021: 244 · 2020: 176 · 2019: 157 · 2018: 161 · 2017: 112 · 2016: 47
- FWCI
- 22.78
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- eScholarship (California Digital Library) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- AXA Research Fund
- National Institute on Aging
- Alzheimer's Association
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- preclinical Alzheimer's disease, Alzheimer's disease continuum
- MeSH terms
- Alzheimer Disease, Animals, Brain, Humans, Disease Progression
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