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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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Citations
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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Gu, Y., Zhang, Q., Huang, H., Ho, K. H. W., Zhang, Y., Yi, C., Zheng, Y., Chang, R. C. C., Wang, E. S., & Yang, M. (2024) · Theranostics · doi:10.7150/thno.98462 · Cited by 27
“The etiology of AD includes the aggregation of amyloid-β (Aβ) plaques and the formation of neurofibrillary tangles (NFTs) caused by hyperphosphorylated tau protein [1, 2].”
Antonioni, A., Raho, E. M., Lorenzo, F. D., Manzoli, L., Flacco, M. E., & Koch, G. (2025) · Journal of Neurology · doi:10.1007/s00415-025-12996-3 · Cited by 34
Alzheimer’s Disease Etiology Hypotheses and Therapeutic Strategies: A Perspective
Scarano, N., Musumeci, F., Casini, B., Brullo, C., D’Ursi, P., Fossa, P., Schenone, S., & Cichero, E. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146980 · Cited by 32
Immune and Imaging Correlates of Mild Cognitive Impairment Conversion to Alzheimer’s Disease
Rosa, F. L., Saresella, M., Baglio, F., Piancone, F., Marventano, I., Calabrese, E., Nemni, R., Ripamonti, E., Cabinio, M., & Clerici, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-16754-y · Cited by 26
Interaction between the progression of Alzheimer's disease and fractal degradation
Li, P., Yu, L., Yang, J., Lo, M., Hu, C., Buchman, A. S., Bennett, D. A., & Hu, K. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.08.023 · Cited by 27
Borland, E., Stomrud, E., van Westen, D., Hansson, O., & Palmqvist, S. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00592-8 · Cited by 27
Role of Magnetoencephalography in the Early Stages of Alzheimer Disease
Maestú, F., & Fernández, A. (2020) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2020.01.003 · Cited by 28
Neuroimaging in Dementia: A Brief Review
Banerjee, D., Muralidharan, A., Mohammed, A. R. H., & Malik, B. H. (2020) · Cureus · doi:10.7759/cureus.8682 · Cited by 30
An Effective Brain Imaging Biomarker for AD and aMCI: ALFF in Slow-5 Frequency Band
Wang, L., Feng, Q., Wang, M., Zhu, T., Yu, E., Niu, J., Ge, X., Mao, D., Lv, Y., & Ding, Z. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666210324130502 · Cited by 27
Abreu, A. C., Morales‐Navas, M., Pérez-Fernández, C., Sánchez-Santed, F., & Fernández, I. (2021) · ACS Chemical Biology · doi:10.1021/acschembio.1c00053 · Cited by 25
George, K. M., Gilsanz, P., Peterson, R. L., Barnes, L. L., DeCarli, C. S., Mayeda, E. R., Mungas, D., & Whitmer, R. A. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab143 · Cited by 30
Disease‐specific interactome alterations via epichaperomics: the case for Alzheimer’s disease
Ginsberg, S. D., Neubert, T. A., Sharma, S., Digwal, C. S., Yan, P., Timbus, C., Wang, T., & Chiosis, G. (2021) · FEBS Journal · doi:10.1111/febs.16031 · Cited by 28
Cui, W., Yan, C., Yan, Z., Peng, Y., Leng, Y., Liu, C., Chen, S., Jiang, X., Zheng, J., & Yang, X. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.831533 · Cited by 27
The Current Landscape of Prevention Trials in Dementia
Lee, J., Howard, R. S., & Schneider, L. S. (2022) · Neurotherapeutics · doi:10.1007/s13311-022-01236-5 · Cited by 30
Self-citationObesity during preclinical Alzheimer's disease development exacerbates brain metabolic decline
Anderson, T., Sharma, S. K., Kelberman, M. A., Ware, C. B., Guo, N., Qin, Z. S., Weinshenker, D., & Parent, M. B. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15900 · Cited by 26
Prevention of Alzheimer's disease through diet: An exploratory review
Bhuiyan, N. Z., Hasan, M. K., Mahmud, Z., Hossain, M. S., & Rahman, A. (2023) · Metabolism Open · doi:10.1016/j.metop.2023.100257 · Cited by 35
DeBay, D. R., Reid, G. A., Pottie, I. R., Martin, E. V., Bowen, C. V., & Darvesh, S. (2017) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.01.005 · Cited by 27
Hansson, O., Palmqvist, S., Ljung, H., Cronberg, T., van Westen, D., & Smith, R. A. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.06.2265 · Cited by 28
Lichtenegger, A., Muck, M., Eugui, P., Harper, D. J., Augustin, M., Leskovar, K., Hitzenberger, C. K. F., Wöehrer, A., & Baumann, B. (2018) · Neurophotonics · doi:10.1117/1.nph.5.3.035002 · Cited by 27
A short perspective on the long road to effective treatments for Alzheimer's disease
Reynolds, D. S. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14581 · Cited by 28
Multi-targeted ChEI-copper chelating molecules as neuroprotective agents
Sestito, S., Wang, S., Chen, Q., Lu, J., Bertini, S., Pomelli, C. S., Chiellini, G., He, X., Pi, R., & Rapposelli, S. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.04.060 · Cited by 27
SNAP25 is a potential target for early stage Alzheimer’s disease and Parkinson’s disease
Wang, Q., Tao, S., Xing, L., Liu, J., Xu, C., Xu, X., Ding, H., Shen, Q., Yu, X., & Zheng, Y. (2023) · European journal of medical research · doi:10.1186/s40001-023-01360-8 · Cited by 29
Soldevila‐Domenech, N., Ayala‐García, A., Barbera, M., Lehtisalo, J., Forcano, L., Diaz-Ponce, A. M., Zwan, M. D., van der Flier, W. M., Ngandu, T., Kivipelto, M., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01691-0 · Cited by 26
Self-citationChipi, E., Frattini, G., Eusebi, P., Mollica, A., D’Andrea, K., Russo, M., Bernardelli, A., Montanucci, C., Luchetti, E., Calabresi, P., et al. (2017) · Neurological Sciences · doi:10.1007/s10072-017-3150-z · Cited by 26
Kuo, Y., & Rajesh, R. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1621750 · Cited by 27
McRae‐McKee, K., Udeh‐Momoh, C. T., Price, G. J., Bajaj, S., de Jager, C. A., Scott, D., Hadjichrysanthou, C., McNaughton, E., Bracoud, L., Ahmadi‐Abhari, S., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.07.010 · Cited by 26
Smedinga, M., Darweesh, S. K. L., Bloem, B. R., Post, B., & Richard, E. (2020) · Journal of Neurology · doi:10.1007/s00415-020-10162-5 · Cited by 28
Fluid Candidate Biomarkers for Alzheimer’s Disease: A Precision Medicine Approach
Prete, E. D., Beatino, M. F., Campese, N., Giampietri, L., Siciliano, G., Ceravolo, R., & Baldacci, F. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10040221 · Cited by 29
Nardone, R., Sebastianelli, L., Versace, V., Ferrazzoli, D., Saltuari, L. L., & Trinka, E. (2021) · Brain Sciences · doi:10.3390/brainsci11030303 · Cited by 31
Xu, W., Rao, J., Song, Y., Chen, S., Xue, C., Hu, G., Lin, X., & Chen, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.671351 · Cited by 26
Zamani, J., Sadr, A., & Javadi, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267608 · Cited by 26
Warren, S. L., Reid, E., Whitfield, P., Helal, A. M., Hamza, E. A., Tindle, R., Moustafa, A. A., & Hamid, M. S. (2023) · Current Psychology · doi:10.1007/s12144-023-04281-1 · Cited by 28
Obesity impacts the expression of Alzheimer's disease–related genes: The Framingham Heart Study
Charisis, S., Lin, H., Ray, R., Joehanes, R., Beiser, A., Levy, D. A., Seshadri, S. S., Sargurupremraj, M., & Satizábal, C. L. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12954 · Cited by 27
Tautvydaitė, D., Kukreja, D., Antonietti, J., Henry, H., von Gunten, A., & Popp, J. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0235-0 · Cited by 28
Xia, C., & Dickerson, B. C. (2017) · PET Clinics · doi:10.1016/j.cpet.2017.02.005 · Cited by 28
Blood-based systems biology biomarkers for next-generation clinical trials in Alzheimer’s disease
Hampel, H. J., Vergallo, A., Afshar, M., Akman-Anderson, L., Arenas, J., Benda, N., Batrla, R., Broich, K., Caraci, F., Cuello, A. C., et al. (2019) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2019.21.2/hhampel · Cited by 27
Self-citationAlzheimer's Disease: Many Failed Trials, So Where Do We Go from Here?
Reiss, A. B., Glass, A. D., Wısnıewskı, T., Wolozin, B. L., Gomolin, I. H., Pinkhasov, A., Leon, J. D., & Stecker, M. M. (2020) · Journal of Investigative Medicine · doi:10.1136/jim-2020-001297 · Cited by 26
Cerebrospinal Fluid Biomarkers in Alzheimer’s Disease—From Brain Starch to Bench and Bedside
Pawlowski, M., Meuth, S., & Duning, T. (2017) · Diagnostics · doi:10.3390/diagnostics7030042 · Cited by 25
Zhou, Q., Luo, L., Wang, X., & Li, X. (2019) · Bioscience Reports · doi:10.1042/bsr20182485 · Cited by 25
Beaurain, M., Salabert, A., Ribeiro, M. J., Arlicot, N., Damier, P., Jeune, F. L., Démonet, J., & Payoux, P. (2019) · Frontiers in Medicine · doi:10.3389/fmed.2019.00268 · Cited by 26
Human Brain Disorders: A Review
Naz, F., & Siddique, Y. H. (2020) · The Open Biology Journal · doi:10.2174/1874196702008010006 · Cited by 29
Caenorhabditis elegans as a possible model to screen anti-Alzheimer's therapeutics
Paul, D., Chipurupalli, S., Justin, A., Raja, K., & Mohankumar, S. K. (2020) · Journal of Pharmacological and Toxicological Methods · doi:10.1016/j.vascn.2020.106932 · Cited by 26
Han, S., Pyun, J., Yeo, S., Kang, D. W., Jeong, H. T., Kang, S. W., Kim, S., & Youn, Y. C. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00739-7 · Cited by 25
Kumar, A., Nemeroff, C. B., Cooper, J. J., Widge, A. S., Rodríguez, C. I., Carpenter, L. L., & McDonald, W. M. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.19080873 · Cited by 25
Functional connectivity changes in mild cognitive impairment: A meta-analysis of M/EEG studies
Buzi, G., Fornari, C., Perinelli, A., & Mazza, V. (2023) · Clinical Neurophysiology · doi:10.1016/j.clinph.2023.10.011 · Cited by 29
Dakterzada, F., Jové, M., Huerto, R. P., Carnes, A., Sol, J., Pamplona, R., & Piñol‐Ripoll, G. (2023) · GeroScience · doi:10.1007/s11357-023-00989-x · Cited by 27
for the EANM-EAN Task Force for the Prescription of FDG-PET for Dementing Neurodegenerative Disorders, Boccardi, M., Festari, C., Altomare, D., Gandolfo, F., Orini, S., Nobili, F. M., & Frisoni, G. B. (2018) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-018-4024-1 · Cited by 26
Self-citationA blood-based signature of cerebrospinal fluid Aβ1–42 status
Goudey, B., Fung, B. J., Schieber, C., Faux, N. G., Weiner, M. W., Aisen, P. S. S., Petersen, R. C., Jack, C. R., Jagust, W. J., Trojanowki, J. Q., et al. (2019) · Scientific Reports · doi:10.1038/s41598-018-37149-7 · Cited by 24
Self-citationLim, B., Tsolaki, M., Soosaipillai, A., Brown, M., Zilakaki, M., Tagaraki, F., Fotiou, D., Koutsouraki, E., Grosi, E., Prassas, I., et al. (2019) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2019-0428 · Cited by 25
Evolution of white matter damage in amyotrophic lateral sclerosis
Gabel, M. C., Broad, R. J., Young, A. L., Abrahams, S., Bastin, M. E., Menke, R., Al‐Chalabi, A., Goldstein, L. H., Tsermentseli, S. K., Alexander, D. C., et al. (2020) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51035 · Cited by 27
Żabińska, M., Wiśniewska, K., Węgrzyn, G., & Pierzynowska, K. (2024) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2024.107070 · Cited by 26
Mencarelli, L., Torso, M., Borghi, I., Assogna, M., Pezzopane, V., Bonnı̀, S., Lorenzo, F. D., Santarnecchi, E., Giove, F., Martorana, A., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01501-z · Cited by 24
Association of precuneus Aβ burden with default mode network function
Cui, L., Zhang, Z., Tu, Y., Wang, M., Guan, Y., Li, Y., Xie, F., & Guo, Q. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14380 · Cited by 24
Alhenaky, A., Alhazmi, S., Alamri, S. H., Alkhatabi, H. A., Alharthi, A., Alsaleem, M. A., Abdelnour, S. A., & Hassan, S. M. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13226960 · Cited by 24
Liu, Y., Wang, L., Ning, X., Gao, Y., & Wang, D. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1480871 · Cited by 26
Adapting to evolving MRI data: A transfer learning approach for Alzheimer’s disease prediction
Turrisi, R., Pati, S., Pioggia, G., & Tartarisco, G. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121016 · Cited by 27
Boada, M., Santos‐Santos, M., Rodríguez‐Gómez, O., Alegret, M., Cañabate, P., Lafuente, A., Ruiz, C. A., Buendía, M., de Dios, M. J., Morera, A., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170866 · Cited by 24
Ishii, M., Kamel, H., & Iadecola, C. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180682 · Cited by 24
Bidani, A., Gouider, M. S., & Travieso, C. M. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-20521-8_75 · Cited by 24
Ma, Y., Wu, J., Xu, W., Shen, X., Wang, H.-F., Hou, X., Cao, X., Bi, Y., Dong, Q., Feng, L., et al. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200410 · Cited by 24
Molecular imaging of beta-amyloid deposition in late-life depression
Smith, G. S., Kuwabara, H., Nandi, A., Gould, N. F., Nassery, N., Savonenko, A. V., Joo, J. H., Kraut, M. A., Brašić, J. R., Holt, D. P., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.01.002 · Cited by 27
Alternative Targets to Fight Alzheimer’s Disease: Focus on Astrocytes
Valenza, M., Facchinetti, R., Menegoni, G., Steardo, L., & Scuderi, C. (2021) · Biomolecules · doi:10.3390/biom11040600 · Cited by 25
Li, A., Yue, L., Xiao, S., & Liu, M. (2021) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00545-1 · Cited by 24
Oberstein, T. J., Schmidt, M. A., Florvaag, A., Haas, A.-L., Siegmann, E.-M., Olm, P., Utz, J., Spitzer, P., Doerfler, A., Lewczuk, P., et al. (2022) · Brain · doi:10.1093/brain/awac297 · Cited by 25
Schermer, M. (2023) · The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine · doi:10.1093/jmp/jhad009 · Cited by 26
Fontaine, S. N., Ingram, A., Cloyd, R., Meier, S. E., Miller, E., Lyons, D. N., Nation, G. K., Mechas, E., Weiss, B. E., Lanzillotta, C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.007 · Cited by 24
Neurocognitive disorders in ICD‐11: the debate and its outcome
Gäebel, W., Jessen, F., & Kanba, S. (2018) · World Psychiatry · doi:10.1002/wps.20534 · Cited by 24
Telephone-based Dementia Screening I
Tröger, J., Linz, N., König, A., Robert, P. H., & Alexandersson, J. (2018) · International Conference on Pervasive Computing Technologies for Healthcare · doi:10.1145/3240925.3240943 · Cited by 25
Wang, H., Fan, Z., Shi, C., Xiong, L., Zhang, H., Li, T., Sun, Y., Guo, Q., Tian, Y., Qu, Q., et al. (2019) · Journal of Global Health · doi:10.7189/jogh.09.020320 · Cited by 24
Self-citationSmedinga, M., Bunnik, E. M., Richard, E., & Schermer, M. (2020) · The Gerontologist · doi:10.1093/geront/gnaa113 · Cited by 24
Wallin, C., Luo, J., Jarvet, J., Wärmländer, S. K. T. S., & Gräslund, A. (2016) · Israel Journal of Chemistry · doi:10.1002/ijch.201600105 · Cited by 26
Phosphorylated Tau 181 Serum Levels Predict Alzheimer’s Disease in the Preclinical Stage
Qin, W., Li, F., Jia, L., Wang, Q., Li, Y., Wei, Y., Li, Y., Jin, H., & Jia, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.900773 · Cited by 23
Munteanu, C., Iordan, D. A., Hoteteu, M., Popescu, C., POSTOIU, R. L., Onu, I., & Onose, G. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242015481 · Cited by 23
Prevalence of cognitive impairment in older adults in the Russian Federation
Cherdak, M. A., Mkhitaryan, E. A., Шарашкина, Н. В., Сергеевна, О. В., Isaev, R. I., Seyfedinova, A. B., Рунихина, Н. К., Kotovskaya, Y. V., Ткачева, О. Н., & Yakhno, N. N. (2024) · S S Korsakov Journal of Neurology and Psychiatry · doi:10.17116/jnevro20241240425 · Cited by 23
Air pollution: a latent key driving force of dementia
Mohammadzadeh, M., Khoshakhlagh, A. H., & Grafman, J. H. (2024) · BMC Public Health · doi:10.1186/s12889-024-19918-4 · Cited by 26
Maiella, M., Mencarelli, L., Casula, E. P., Borghi, I., Assogna, M., Lorenzo, F. D., Bonnı̀, S., Pezzopane, V., Martorana, A., & Koch, G. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.09.007 · Cited by 26
Wen, J., Yang, Z., Nasrallah, I. M., Cui, Y., Erus, G., Srinivasan, D., Abdulkadir, A., Mamourian, E., Skampardoni, I., Hwang, G., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03121-5 · Cited by 31
Biomarker-guided classification scheme of neurodegenerative diseases
Baldacci, F., Lista, S., Garaci, F., Bonuccelli, U., Toschi, N., & Hampel, H. J. (2016) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2016.08.007 · Cited by 23
Self-citationThe Quest for an Alzheimer Therapy
Cappa, S. F. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00108 · Cited by 23
Masuoka, N., Lei, C., Li, H., Inamura, N., Shiotani, S., Yanai, N., Sato, K., Sakurai, K., & Hisatsune, T. (2021) · Aging · doi:10.18632/aging.202535 · Cited by 23
Characteristics of Resting State EEG Power in 80+-Year-Olds of Different Cognitive Status
Fröhlich, S. M., Kutz, D. F., Müller, K., & Voelcker‐Rehage, C. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.675689 · Cited by 26
Ulbl, J., & Rakuša, M. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241210158 · Cited by 24
Cao, C., Hasegawa, Y., Hayashi, K., Takemoto, Y., & Kim‐Mitsuyama, S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181000 · Cited by 23
Tudela, R., Muñoz‐Moreno, E., Sala‐Llonch, R., López-Gil, X., & Sòria, G. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00213 · Cited by 23
Smith, R. X., Strain, J. F., Tanenbaum, A., Fagan, A. M., Hassenstab, J. J., McDade, E., Schindler, S. E., Gordon, B. A., Xiong, C., Chhatwal, J. P., et al. (2021) · Brain Connectivity · doi:10.1089/brain.2020.0808 · Cited by 25
Self-citationGoerlich, K. S., Votinov, M., Dicks, E., Ellendt, S., Csukly, G., & Habel, U. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00034 · Cited by 25
Digital screening for cognitive impairment - a proof of concept study
Bloniecki, V., Hagman, G., Ryden, M., & Kivipelto, M. (2021) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2021.2 · Cited by 21
Self-citationStricker, N. H., Twohy, E. L., Albertson, S. M., Karstens, A. J., Kremers, W. K., Machulda, M. M., Fields, J. A., Jack, C. R., Knopman, D. S., Mielke, M. M., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12895 · Cited by 25
Self-citationLanni, I., Chiacchierini, G., Papagno, C., Santangelo, V., & Campolongo, P. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105831 · Cited by 22
Kalligerou, F., Ntanasi, E., Voskou, P., Velonakis, G., Karavasilis, E., Mamalaki, E., Kyrozis, A., Sigala, E. G., Economou, N.-T., Patas, K., et al. (2019) · Postgraduate Medicine · doi:10.1080/00325481.2019.1663708 · Cited by 22
Martín-Gonzalo, J.-A., Valdeolivas, I. P., Wang, Y., Wang, T., Chiclana-Actis, G., Algarra-Lucas, M. D. C., Palmí-Cortés, I., Fernández‐Travieso, J., Torrecillas-Narváez, M. D., Martínez, A. M., et al. (2019) · Entropy · doi:10.3390/e21090868 · Cited by 22
‘ALZHEIMER’S PROGRESSION SCORE’: DEVELOPMENT OF A BIOMARKER SUMMARY OUTCOME FOR AD PREVENTION TRIALS
Leoutsakos, J., Gross, A. L., Jones, R. N., Albert, M., & Breitner, J. C. S. (2016) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2016.120 · Cited by 21
Links Between Adiponectin and Dementia: From Risk Factors to Pathophysiology
Chen, R., Shu, Y., & Zeng, Y. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00356 · Cited by 22
Paek, E. J., & Murray, L. L. (2020) · American Journal of Speech-Language Pathology · doi:10.1044/2019_ajslp-19-00052 · Cited by 22
Guo, Z., Liu, Z., Ling, Z.-H., Wang, S., Jin, L., & Li, Y. (2020) · International Conference on Computational Linguistics · doi:10.18653/v1/2020.coling-main.542 · Cited by 20
Ashford, M. T., Veitch, D. P., Neuhaus, J. M., Nosheny, R. L., Tosun, D., & Weiner, M. W. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12253 · Cited by 23
Wang, J., Hu, H., Liu, Z., Liu, J., Wang, S., Cheng, Q., Chen, H., & Song, M. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00235-4 · Cited by 23
Giampietri, L., Belli, E., Beatino, M. F., Giannoni, S., Palermo, G., Campese, N., Tognoni, G., Siciliano, G., Ceravolo, R., Luca, C. D., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12040796 · Cited by 22
Cope, T., Hughes, L. E., Phillips, H. N., Adams, N., Jafarian, A., Nesbitt, D. J., Assem, M., Woolgar, A., Duncan, J., & Rowe, J. B. (2022) · Apollo (University of Cambridge) · doi:10.17863/cam.83553 · Cited by 23
Altered dynamics of glymphatic flow in a mature-onset Tet-off APP mouse model of amyloidosis
Ben-Nejma, I. R. H., Keliris, A., Vanreusel, V., Ponsaerts, P., der Linden, A. V., & Keliris, G. A. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01175-z · Cited by 24
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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