The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease
Open accessAbstract
The pathophysiological process of Alzheimer's disease (AD) is thought to begin many years before the diagnosis of AD dementia. This long “preclinical” phase of AD would provide a critical opportunity for therapeutic intervention; however, we need to further elucidate the link between the pathological cascade of AD and the emergence of clinical symptoms. The National Institute on Aging and the Alzheimer's Association convened an international workgroup to review the biomarker, epidemiological, and neuropsychological evidence, and to develop recommendations to determine the factors which best predict the risk of progression from “normal” cognition to mild cognitive impairment and AD dementia. We propose a conceptual framework and operational research criteria, based on the prevailing scientific evidence to date, to test and refine these models with longitudinal clinical research studies. These recommendations are solely intended for research purposes and do not have any clinical implications at this time. It is hoped that these recommendations will provide a common rubric to advance the study of preclinical AD, and ultimately, aid the field in moving toward earlier intervention at a stage of AD when some disease‐modifying therapies may be most efficacious.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“The susceptibility of the conventional criteria for MCI to diagnostic error is likely to be amplified if used to characterize and stage preclinical AD—a pre-MCI categorization based on subtle cognitive decline [8].”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [8]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In PET imaging, PIB and Florbetapir (AV45) amyloid tracers have shown greater cortical uptake in patients diagnosed with AD compared with control participants 11,57 .”
From OASIS-3: Longitudinal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer Disease (2019) · cites this paper as [11]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Several anti-Aβ therapeutic strategies are being pursued to treat AD; however, it is likely that treatment will need to begin during the preclinical phase to prevent or limit plaque accumulation to be beneficial in reducing the risk of developing AD (51, 52).”
From Serotonin signaling is associated with lower amyloid-β levels and plaques in transgenic mice and humans (2011) · cites this paper as [52]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“New clinical diagnostic consensus criteria have now been finalized under the auspices of the NIA and Alzheimer's Association (52), with novel features including recognition of a preclinical stage of AD and the incorporation of imaging and laboratory-based cerebrospinal fluid biomarkers.”
From Accuracy of the Clinical Diagnosis of Alzheimer Disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010 (2012) · cites this paper as [52]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Alzheimer’s disease (AD) begins several decades before the clinical onset of dementia with progressive amyloid accumulation preceding significant tau pathology and neurodegeneration.10,11”
From Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models (2024) · cites this paper as [11]
Experimental — accuracy not yet measured
The cited source says what the claim attributes to it.
In the citing paper
“Because there is evidence that the pathophysiology of AD likely begins many years before the emergence of clinical symptoms or a syndrome such as MCI or dementia”
From The Need to Separate Chronic Traumatic Encephalopathy Neuropathology from Clinical Features (2017) · cites this paper as [102]
The cited source says what the claim attributes to it.
In the citing paper
“Nevertheless, after decades of research, both the etiology and the pathophysiologic sequence of AD remain uncertain [102]”
From The Need to Separate Chronic Traumatic Encephalopathy Neuropathology from Clinical Features (2017) · cites this paper as [102]
The cited source says what the claim attributes to it.
In the citing paper
“This unifying research framework is a natural descendant of the 2011 NIA-AA preclinical AD recommendations that were based on the concept that AD, identified by biomarkers, can exist in the absence of symptoms [4].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [4]
The cited source says what the claim attributes to it.
In the citing paper
“Clinico-pathologic correlations for individuals without cognitive impairment should indicate that it is possible for AD neuropathologic change to predate onset of symptoms by years [54].”
From National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease: a practical approach (2012) · cites this paper as [54]
The cited source says what the claim attributes to it.
In the citing paper
“recognition that AD neuropathologic changes may occur in the apparent absence of cognitive impairment”
From National Institute on Aging–Alzheimer’s Association guidelines for the neuropathologic assessment of Alzheimer’s disease: a practical approach (2012) · cites this paper as [54]
The cited source says what the claim attributes to it.
In the citing paper
“This later point is important as the pathophysiological changes in the brain of people with AD require several years to occur.16”
From Cumulative Use of Strong Anticholinergics and Incident Dementia: A Prospective Cohort Study (2015) · cites this paper as [16]
The cited source says what the claim attributes to it.
In the citing paper
“The timing of therapeutic treatment in AD seems to be crucial as studies have shown that treating the disease too late has little efficacy (Sperling et al., 2011; Yiannopoulou et al., 2019).”
From Inhibiting USP16 rescues stem cell aging and memory in an Alzheimer’s model (2022) · cites this paper as Sperling et al., 2011
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“But their high cost and insufficient accessibility are being major limitations [12].”
From Integrated analysis of ultra-deep proteomes in cortex, cerebrospinal fluid and serum reveals a mitochondrial signature in Alzheimer’s disease (2020) · cites this paper as [12]
Experimental — accuracy not yet measuredIn the citing paper
“individuals remain cognitively normal for many years despite accumulating aggregates of Aβ plaques and tau neurofibrillary tangles (Sperling et al., 2011).”
From A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer’s Disease (2017) · cites this paper as Sperling et al., 2011
In the citing paper
“The neuropathological changes of Alzheimer’s disease (AD) begin two decades or more before signs of cognitive impairment (Sperling et al., 2011).”
From A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer’s Disease (2017) · cites this paper as Sperling et al., 2011
In the citing paper
“Additionally, we used the old criteria for the preclinical AD definition, while the recent research criteria also require tau positivity [8].”
From Duration of preclinical, prodromal, and dementia stages of Alzheimer's disease in relation to age, sex, and APOE genotype (2019) · cites this paper as [8]
In the citing paper
“Plaque formation rates also vary over time [217]. After a period of rapid accumulation, plaque deposition gradually slows and by the time symptoms manifest plaque deposition is essentially done [20, 205, 218].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [20]
In the citing paper
“The amyloid cascade hypothesis [14, 15], in conjunction with the newly designated preclinical AD category [20], necessarily infers cognitive changes that arise before plaques appear are etiologically unrelated to cognitive changes that arise after plaques appear.”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [20]
In the citing paper
“In addition to using Aβ phenomena to distinguish AD from “normal” brain aging, the new criteria make one critical mechanistic assumption. Aβ is identified as an “upstream” AD biomarker [77]. Other biomarkers, including increased CSF tau, CSF phospho-tau, and decreased glucose utilization (as demonstrated by fluorodeoxyglucose PET; FDG PET), are identified as “downstream” biomarkers.”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [77]
In the citing paper
“According to the new AD diagnostic criteria cognitive decline and an absence of alternative dementia-associated pathology are no longer required features. At least for research purposes, to qualify for a diagnosis of AD altered brain or CSF Aβ is now the sole requirement [77].”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [77]
In the citing paper
“This is reflected by the recent adoption of AD diagnostic criteria that classify cognitively normal individuals with brain plaques or low cerebrospinal fluid Aβ levels as having “preclinical AD” [77].”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [77]
In the citing paper
“Studies of non-demented elderly cohorts overall report approximately 20–40% are PIB-positive [67, 68, 71–78].”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [77]
In the citing paper
“According to the new criteria, the primary dividing line between AD and brain aging is the presence or absence of brain or CSF Aβ changes.”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [77]
In the citing paper
“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 [28]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Self-citationNeuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 1×
“ries [68]) and the clinical syndrome of AD dementia (estimated prevalence from three epidemiological studies [69–71]).”
BackgroundAlbert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 1×
“This long “preclinical” phase of AD would provide a critical opportunity for therapeutic intervention; however, we need to further elucidate the link between the pathological cascade of AD and the emergence of clinical symptoms.”
BackgroundSelf-citationHypothetical 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-citationAlzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420
Shankar, G. M., Li, S., Mehta, T. H., Garcia-Munoz, A., Shepardson, N. E., Smith, I., Brett, F. M., Farrell, M. A., Rowan, M. J., Lemere, C. A., et al. (2008) · Nature Medicine · doi:10.1038/nm1782 · Cited by 3,685
Stern, Y. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.03.004 · Cited by 2,943
Self-citationDecreased Clearance of CNS β-Amyloid in Alzheimer’s Disease
Mawuenyega, K. G., Sigurdson, W., Ovod, V., Munsell, L., Kasten, T., Morris, J. C., Yarasheski, K. E., & Bateman, R. J. (2010) · Science · doi:10.1126/science.1197623 · Cited by 2,078
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065
Self-citationJack, C. R., Albert, M. S., Knopman, D. S., McKhann, G. M., Sperling, R. A., Carrillo, M. C., Thies, B., & Phelps, C. H. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.004 · Cited by 2,042
Self-citation
Flagged first, then by citations
Research works printed but not linked: 1
- JABecker DRentz JSCarmasin THedden IHamdi RLBuckner et al.Amyloid deposition and brain volume across the continuum of aging and AD.Ann Neurol2011(in press)
Cited by
Sorted by citations
Items 201–300 of 1,158
Kapogiannis, D., Boxer, A. L., Schwartz, J. B., Abner, E. L., Biragyn, A., Masharani, U. B., Frassetto, L. A., Petersen, R. C., Miller, B. L., & Goetzl, E. J. (2014) · The FASEB Journal · doi:10.1096/fj.14-262048 · Cited by 345
del Campo, M., Mollenhauer, B., Bertolotto, A., Engelborghs, S., Hampel, H., Simonsen, A. H., Kapaki, E., Kruse, N., Le Bastard, N., Lehmann, S., et al. (2012) · Biomarkers in Medicine · doi:10.2217/bmm.12.46 · Cited by 343
Goldberg, T. E., Harvey, P. D., Wesnes, K. A., Snyder, P. J., & Schneider, L. S. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.11.003 · Cited by 343
The complexity of Alzheimer’s disease: an evolving puzzle
Ferrari, C., & Sorbi, S. (2021) · Physiological Reviews · doi:10.1152/physrev.00015.2020 · Cited by 343
Alzheimer's Prevention Initiative: A Plan to Accelerate the Evaluation of Presymptomatic Treatments
Reiman, E. M., Langbaum, J. B. S., Fleisher, A., Caselli, R. J., Chen, K., Ayutyanont, N., Quiroz, Y. T., Kosik, K. S., Lopera, F. J., & Tariot, P. N. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-0059 · Cited by 340
Self-citationMueller, K. D., Hermann, B., Mecollari, J., & Turkstra, L. S. (2018) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2018.1446513 · Cited by 336
Meta-analysis of amyloid-cognition relations in cognitively normal older adults
Hedden, T., Oh, H., Younger, A. P., & Patel, T. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828ab35d · Cited by 336
Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Knopman, D. S., Lowe, V., Vemuri, P., Mielke, M. M., Roberts, R. O., Machulda, M. M., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30077-7 · Cited by 333
Self-citationSalomone, S., Caraci, F., Leggio, G. M., Fedotova, J., & Drago, F. (2011) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2011.04134.x · Cited by 335
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 333
Schultz, A. P., Chhatwal, J. P., Hedden, T., Mormino, E. C., Hanseeuw, B. J., Sepulcre, J., Huijbers, W., LaPoint, M., Buckley, R. F., Johnson, K. A., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3263-16.2017 · Cited by 330
Self-citationAdvances in the prevention of Alzheimer's disease and dementia
Solomon, A., Mangialasche, F., Richard, E., Andrieu, S., Bennett, D., Breteler, M. M. B., Fratiglioni, L., Hooshmand, B., Khachaturian, A. S., Schneider, L. S. S., et al. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12178 · Cited by 330
Self-citationAssociation of Factors With Elevated Amyloid Burden in Clinically Normal Older Individuals
Sperling, R. A., Donohue, M., Raman, R., Sun, C., Yaari, R., Holdridge, K. C., Siemers, E., Johnson, K. A., Aisen, P. S. S., & for the A4 Study Team (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0387 · Cited by 338
Self-citationPART is part of Alzheimer disease
Duyckaerts, C. J., Braak, H., Brion, J., Buée, L., Tredici, K. D., Goedert, M., Halliday, G. M., Neumann, M., Spillantini, M. G., Tolnay, M., et al. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1390-7 · Cited by 329
Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Amariglio, R. E., Rentz, D. M., Johnson, K. A., & Sperling, R. A. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.2031 · Cited by 328
Self-citationThe clinical promise of biomarkers of synapse damage or loss in Alzheimer’s disease
the Synaptic Health Endpoints Working Group, Colom-Cadena, M., Spires-Jones, T., Zetterberg, H., Blennow, K., Caggiano, A., DeKosky, S. T., Fillit, H., Harrison, J. E., Schneider, L. S., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00588-4 · Cited by 328
Daily functioning and dementia
Cipriani, G., Danti, S., Picchi, L., Nuti, A., & Fiorino, M. D. (2020) · Dementia & Neuropsychologia · doi:10.1590/1980-57642020dn14-020001 · Cited by 325
Murray, M. E., Lowe, V. J., Graff-Radford, N. R., Liesinger, A. M., Cannon, A., Przybelski, S. A., Rawal, B., Parisi, J. E., Petersen, R. C., Kantarci, K., et al. (2015) · Brain · doi:10.1093/brain/awv050 · Cited by 324
Self-citationAssociations between tau, Aβ, and cortical thickness with cognition in Alzheimer disease
Ossenkoppele, R., Smith, R. A., Ohlsson, T. G., Strandberg, O. T., Mattsson, N., Insel, P. S., Palmqvist, S., & Hansson, O. (2019) · Neurology · doi:10.1212/wnl.0000000000006875 · Cited by 325
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Morris, J. C., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.11.007 · Cited by 325
Self-citationRosa, P. A. D., Cerami, C., Gallivanone, F., Prestia, A., Caroli, A., Castiglioni, I., Gilardi, M. C., Frisoni, G. B., Friston, K. J., Ashburner, J., et al. (2014) · Neuroinformatics · doi:10.1007/s12021-014-9235-4 · Cited by 321
Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease
Piwecka, M., Rajewsky, N., & Rybak-Wolf, A. (2023) · Nature Reviews Neurology · doi:10.1038/s41582-023-00809-y · Cited by 320
Nanotechnology-based drug delivery systems for the treatment of Alzheimer’s disease
Fonseca‐Santos, B., Chorilli, M., & Gremião, M. P. D. (2015) · International Journal of Nanomedicine · doi:10.2147/ijn.s87148 · Cited by 320
Neuropathology and biochemistry of Aβ and its aggregates in Alzheimer’s disease
Thal, D. R., Walter, J., Saido, T. C., & Fändrich, M. (2015) · Acta Neuropathologica · doi:10.1007/s00401-014-1375-y · Cited by 319
Bellaver, B., Povala, G., Ferreira, P. C. L., Ferrari-Souza, J. P., Leffa, D. T., Lussier, F. Z., Benedet, A. L., Ashton, N. J., Triana-Baltzer, G., Kolb, H. C., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02380-x · Cited by 319
Mouse models of Alzheimer's disease
Hall, A. M., & Roberson, E. D. (2012) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2011.11.017 · Cited by 317
Innovative diagnostic tools for early detection of Alzheimer's disease
Laske, C., Sohrabi, H. R., Frost, S. M., López-de-Ipiña, K., Garrard, P., Buscema, M., Dauwels, J., Soekadar, S. R., Mueller, S., Linnemann, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.004 · Cited by 316
Lewczuk, P., Riederer, P. F., O’Bryant, S. E., Verbeek, M. M., Dubois, B., Visser, P. J., Jellinger, K. A., Engelborghs, S., Ramírez, A., Parnetti, L., et al. (2017) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1375556 · Cited by 318
Self-citationPlasma Amyloid as Prescreener for the Earliest Alzheimer Pathological Changes
Verberk, I. M. W., Slot, R. E., Verfaillie, S. C. J., Heijst, H., Prins, N. D., van Berckel, B. N. M., Scheltens, P., Teunissen, C. E., & van der Flier, W. M. (2018) · Annals of Neurology · doi:10.1002/ana.25334 · Cited by 315
Suspected non-Alzheimer disease pathophysiology — concept and controversy
Jack, C. R., Knopman, D. S., Chételat, G., Dickson, D. W., Fagan, A. M., Frisoni, G. B., Jagust, W. J., Mormino, E. C., Petersen, R. C., Sperling, R. A., et al. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.251 · Cited by 313
Self-citationLiss, 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
Efficacy of Souvenaid in Mild Alzheimer's Disease: Results from a Randomized, Controlled Trial
Scheltens, P., Twisk, J. W. R., Blesa, R., Scarpini, E. A., Arnim, C. A. F. V., Bongers, A., Harrison, J., Willemsen‐Swinkels, S. H. N., Stam, C. J., de Waal, H., et al. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-121189 · Cited by 314
Wallace, L. M. K., Theou, O., Godin, J., Andrew, M. K., Bennett, D. A., & Rockwood, K. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30371-5 · Cited by 310
Self-citationThe Wisconsin Registry for Alzheimer's Prevention: A review of findings and current directions
Johnson, S. C., Koscik, R. L., Jonaitis, E. M., Clark, L. R., Mueller, K. D., Berman, S. E., Bendlin, B. B., Engelman, C. D., Okonkwo, O. C., Hogan, K. J., et al. (2017) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.11.007 · Cited by 310
A data-driven model of biomarker changes in sporadic Alzheimer’s disease
Young, A. L., Oxtoby, N. P., Daga, P., Cash, D. M., Fox, N. C., Ourselin, S., Schott, J. M., & Alexander, D. C. (2014) · Brain · doi:10.1093/brain/awu176 · Cited by 308
Brain aging, Alzheimer's disease, and mitochondria
Swerdlow, R. H. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.012 · Cited by 306
“This is accomplished by stipulating everyone with either fibrillar Aβ deposits or low CSF Aβ has AD, or at least a modified form of AD [77].”
BackgroundResultInfluentialProtein phosphatase 2A dysfunction in Alzheimer’s disease
Sontag, J.-M., & Sontag, E. (2014) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2014.00016 · Cited by 304
Optimizing the preclinical Alzheimer's cognitive composite with semantic processing: The PACC5
Papp, K. V., Rentz, D. M., Orlovsky, I., Sperling, R. A., & Mormino, E. C. (2017) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2017.10.004 · Cited by 303
Self-citationSutphen, C. L., Jasielec, M. S., Shah, A. R., Macy, E. M., Xiong, C., Vlassenko, A. G., Benzinger, T. L. S., Stoops, E., Vanderstichele, H., Brix, B., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.1285 · Cited by 301
Self-citationWang, L. Y., Benzinger, T. L. S., Su, Y., Christensen, J. J., Friedrichsen, K. A., Aldea, P., McConathy, J., Cairns, N. J., Fagan, A. M., Morris, J. C., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2078 · Cited by 301
Self-citationCerebrospinal fluid tau, neurogranin, and neurofilament light in Alzheimer's disease
Mattsson, N., Insel, P. S., Palmqvist, S., Portelius, E., Zetterberg, H., Weiner, M. W., Blennow, K., Hansson, O., & Initiative, T. A. D. N. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201606540 · Cited by 301
Jack, C. R., Therneau, T. M., Weigand, S. D., Wiste, H. J., Knopman, D. S., Vemuri, P., Lowe, V. J., Mielke, M. M., Roberts, R. O., Machulda, M. M., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1971 · Cited by 300
Self-citationStructural Imaging Measures of Brain Aging
Lockhart, S. N., & DeCarli, C. S. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9268-3 · Cited by 301
Al-Qazzaz, N. K., Ali, S. H. M., Ahmad, S. A., Islam, S., & Mohamad, K. (2014) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s67184 · Cited by 300
Improving dementia care: The role of screening and detection of cognitive impairment
Soo Borson, B., Frank, L. B., Bayley, P. J., Boustani, M. A., Dean, M., Lin, P., McCarten, J. R., Morris, J. C., Salmon, D. P., Schmitt, F. A., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.08.008 · Cited by 300
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 300
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 305
Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease
Dai, Z., Yan, C., Li, K., Wang, Z., Wang, J., Cao, M., Lin, Q., Shu, N., Xia, M., Bi, Y., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu246 · Cited by 298
Retinal vascular biomarkers for early detection and monitoring of Alzheimer’s disease
Frost, S., Kanagasingam, Y., Sohrabi, H., Vignarajan, J., Bourgeat, P., Salvado, O., Villemagne, V, Rowe, C. C., Lance Macaulay, S., Szoeke, C., et al. (2013) · Translational Psychiatry · doi:10.1038/tp.2012.150 · Cited by 297
Self-citationMonoaminergic neuropathology in Alzheimer’s disease
Šimić, G., Leko, M. B., Wray, S., Harrington, C. R., Delalle, I., Milošević, N. J., Bažadona, D., Buée, L., de Silva, R., Giovanni, G. D., et al. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2016.04.001 · Cited by 297
Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease
Mormino, E. C., Betensky, R. A., Hedden, T., Schultz, A. P., Ward, A. M., Huijbers, W., Rentz, D. M., Johnson, K. A., Sperling, R. A., & For the Alzheimer's Disease Neuroimaging Initiative, T. A. I. B. A. L. F. S. O. A. (2014) · Neurology · doi:10.1212/wnl.0000000000000431 · Cited by 295
Self-citationHippocampal neurogenesis: Learning to remember
Lazarov, O., & Hollands, C. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.12.006 · Cited by 297
Andrieu, S., Coley, N., Lovestone, S., Aisen, P. S., & Vellas, B. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00153-2 · Cited by 293
Self-citationIntelligent Assistive Technology for Alzheimer’s Disease and Other Dementias: A Systematic Review
Ienca, M., Fabrice, J., Elger, B., Caon, M., Scoccia Pappagallo, A., Kressig, R. W., & Wangmo, T. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-161037 · Cited by 292
Preclinical Alzheimer disease—the challenges ahead
Sperling, R. A., Karlawish, J., & Johnson, K. A. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.241 · Cited by 291
Self-citationThe AHEAD 3‐45 Study: Design of a prevention trial for Alzheimer's disease
Rafii, M. S., Sperling, R. A., Donohue, M. C., Zhou, J., Roberts, C., Irizarry, M. C., Dhadda, S., Sethuraman, G., Kramer, L. D., Swanson, C. J., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.12748 · Cited by 291
Self-citationSerum Brain-Derived Neurotrophic Factor and the Risk for Dementia: The Framingham Heart Study
Weinstein, G., Beiser, A. S., Choi, S. H., Preis, S. R., Chen, T. C., Vorgas, D., Au, R., Pikula, A., Wolf, P. A., DeStefano, A. L., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2013.4781 · Cited by 289
Neuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289
Clearance of cerebral Aβ in Alzheimer’s disease: reassessing the role of microglia and monocytes
Zuroff, L. R., Daley, D. A., Black, K. L., & Koronyo‐Hamaoui, M. (2017) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-017-2463-7 · Cited by 292
The impact of amyloid‐beta and tau on prospective cognitive decline in older individuals
Sperling, R. A., Mormino, E. C., Schultz, A. P., Betensky, R. A., Papp, K. V., Amariglio, R. E., Hanseeuw, B. J., Buckley, R., Chhatwal, J., Hedden, T., et al. (2019) · Annals of Neurology · doi:10.1002/ana.25395 · Cited by 286
Self-citationCerebrospinal 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
Self-citationInsulin Resistance and Alzheimer’s Disease: Bioenergetic Linkages
Neth, B. J., & Craft, S. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00345 · Cited by 284
Self-citationFace-name associative memory performance is related to amyloid burden in normal elderly
Rentz, D. M., Amariglio, R. E., Becker, J. A., Frey, M., Olson, L. E., Frishe, K., Carmasin, J. S., Maye, J. E., Johnson, K. A., & Sperling, R. A. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.06.006 · Cited by 285
Self-citationDiagnostic neuroimaging across diseases
Klöppel, S., Abdulkadir, A., Jack, C. R., Koutsouleris, N., Mourão-Miranda, J., & Vemuri, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.002 · Cited by 279
Self-citationRowe, C. C., & Villemagne, V. L. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.076315 · Cited by 279
Self-citationSubjective Cognitive Impairment and Affective Symptoms: A Systematic Review
Hill, N. L., Mogle, J., Wion, R., Munoz, E., DePasquale, N., Yevchak, A. M., & Parisi, J. M. (2016) · The Gerontologist · doi:10.1093/geront/gnw091 · Cited by 277
Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment
Scheef, L., Spottke, A., Daerr, M., Joe, A., Striepens, N., Kölsch, H., Popp, J., Daamen, M., Gorris, D., Heneka, M. T., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c1a8d · Cited by 277
Antioxidant clinical trials in mild cognitive impairment and Alzheimer's disease
Mecocci, P., & Polidori, M. C. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.10.006 · Cited by 277
Apostolova, L. G. (2016) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000000307 · Cited by 277
Amyloid β-protein oligomers and Alzheimer’s disease
Hayden, E. Y., & Teplow, D. B. (2013) · Alzheimer's Research & Therapy · doi:10.1186/alzrt226 · Cited by 276
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 276
Glial activation and inflammation along the Alzheimer’s disease continuum
Nordengen, K., Kirsebom, B.-E., Henjum, K., Selnes, P., Gísladóttir, B., Wettergreen, M., Torsetnes, S. B., Grøntvedt, G. R., Waterloo, K. K., Aarsland, D., et al. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1399-2 · Cited by 274
Non-invasive assessment of Alzheimer’s disease neurofibrillary pathology using 18F-THK5105 PET
Okamura, N., Furumoto, S., Fodero‐Tavoletti, M. T., Mulligan, R. S., Harada, R., Yates, P. A., Pejoska, S., Kudo, Y., Masters, C. L., Yanai, K., et al. (2014) · Brain · doi:10.1093/brain/awu064 · Cited by 273
Self-citationDonovan, N. J., Locascio, J. J., Marshall, G. A., Gatchel, J., Hanseeuw, B. J., Rentz, D. M., Johnson, K. A., Sperling, R. A., & Study, F. T. H. A. B. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.17040442 · Cited by 272
Self-citationPathophysiological Role of Neuroinflammation in Neurodegenerative Diseases and Psychiatric Disorders
Hong, H., Kim, B. S., & Im, H. (2016) · International Neurourology Journal · doi:10.5213/inj.1632604.302 · Cited by 269
Salvatore, C., Cerasa, A., Battista, P., Gilardi, M. C., Quattrone, A., & Castiglioni, I. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00307 · Cited by 268
Mild cognitive impairment: pathology and mechanisms
Mufson, E. J., Binder, L. I., Counts, S., DeKosky, S. T., deToledo‐Morrell, L., Ginsberg, S. D., Ikonomović, M. D., Perez, S. E., & Scheff, S. W. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0884-1 · Cited by 268
Putcha, D., Brickhouse, M. J., O’Keefe, K., Sullivan, C., Rentz, D. M., Marshall, G. A., Dickerson, B. C., & Sperling, R. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4740-11.2011 · Cited by 268
Self-citationPredicting cognitive decline with deep learning of brain metabolism and amyloid imaging
Choi, H., & Jin, K. H. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.02.017 · Cited by 268
The Emerging Link between O-GlcNAc and Alzheimer Disease
Zhu, Y., Shan, X., Yuzwa, S. A., & Vocadlo, D. J. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.r114.601351 · Cited by 267
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
Self-citationNeuronal hyperactivity--A key defect in Alzheimer’s disease?
Busche, M. A., & Konnerth, A. (2015) · BioEssays · doi:10.1002/bies.201500004 · Cited by 266
The human connectome in Alzheimer disease — relationship to biomarkers and genetics
Yu, M., Sporns, O., & Saykin, A. J. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00529-1 · Cited by 265
Liu, Y., Yu, C., Zhang, X., Liu, J., Duan, Y., Alexander‐Bloch, A. F., Liu, B., Jiang, T., & Bullmore, E. T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs410 · Cited by 265
Moonen, S., Koper, M. J., Schoor, E. V., Schaeverbeke, J. M., Vandenberghe, R. R., Arnim, C. A. F. V., Tousseyn, T., Strooper, B. D., & Thal, D. R. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02528-y · Cited by 268
Andersen, J. V., Schousboe, A., & Verkhratsky, A. (2022) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2022.102331 · Cited by 263
Association of Higher Cortical Amyloid Burden With Loneliness in Cognitively Normal Older Adults
Donovan, N. J., Okereke, O. I., Vannini, P., Amariglio, R. E., Rentz, D. M., Marshall, G. A., Johnson, K. A., & Sperling, R. A. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.2657 · Cited by 261
Self-citationTargeting neuroinflammation in Alzheimer’s disease
Bronzuoli, M. R., Iacomino, A., Steardo, L., & Scuderi, C. (2016) · Journal of Inflammation Research · doi:10.2147/jir.s86958 · Cited by 262
Safiri, S., Jolfayi, A. G., Fazlollahi, A., Morsali, S., Sarkesh, A., Sorkhabi, A. D., Golabi, B., Aletaha, R., Asghari, K. M., Hamidi, S., et al. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1474043 · Cited by 273
Age-related hearing impairment—a risk factor and frailty marker for dementia and AD
Panza, F., Solfrizzi, V., & Logroscino, G. (2015) · Nature Reviews Neurology · doi:10.1038/nrneurol.2015.12 · Cited by 259
Verberk, I. M. W., Thijssen, E., Koelewijn, J., Mauroo, K., Vanbrabant, J., de Wilde, A., Zwan, M. D., Verfaillie, S. C. J., Ossenkoppele, R., Barkhof, F., et al. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-020-00682-7 · Cited by 258
Barnett, J. H., Lewis, L. M., Blackwell, A. D., & Taylor, M. (2014) · BMC Neurology · doi:10.1186/1471-2377-14-101 · Cited by 258
Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Mielke, M. M., Vemuri, P., Lowe, V. J., Senjem, M. L., Gunter, J. L., Reyes, D. A., et al. (2015) · Brain · doi:10.1093/brain/awv283 · Cited by 258
Self-citationMRI cortical thickness biomarker predicts AD-like CSF and cognitive decline in normal adults
Dickerson, B. C., & Wolk, D. A. (2011) · Neurology · doi:10.1212/wnl.0b013e31823efc6c · Cited by 257
Brickman, A. M., Provenzano, F. A., Muraskin, J., Manly, J. J., Blum, S., Apa, Z. L., Stern, Y., Brown, T. R., Luchsinger, J. A., & Mayeux, R. P. (2012) · Archives of Neurology · doi:10.1001/archneurol.2012.1527 · Cited by 258
Self-citationEdmonds, E. C., Delano‐Wood, L., Clark, L. R., Jak, A. J., Nation, D. A., McDonald, C. R., Libon, D. J., Au, R., Galasko, D., Salmon, D. P., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.005 · Cited by 256
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
Self-citationZhang, Z., Liu, Y., Jiang, T., Zhou, B., An, N., Dai, H., Wang, P., Niu, Y., Wang, L., & Zhang, X. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.049 · Cited by 255
Amyloid burden is associated with self-reported sleep in nondemented late middle-aged adults
Sprecher, K. E., Bendlin, B. B., Racine, A. M., Okonkwo, O. C., Christian, B. T., Koscik, R. L., Sager, M. A., Asthana, S., Johnson, S. C., & Benca, R. M. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.05.004 · Cited by 255
Huijbers, W., Mormino, E. C., Schultz, A. P., Wigman, S. E., Ward, A. M., Larvie, M., Amariglio, R. E., Marshall, G. A., Rentz, D. M., Johnson, K. A., et al. (2015) · Brain · doi:10.1093/brain/awv007 · Cited by 254
Self-citation
Metadata
- Authors
- 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., Park, D. C., Reiman, E. M., Rowe, C. C., Siemers, E., Stern, Y., Yaffe, K., Carrillo, M. C., Thies, B., Morrison‐Bogorad, M., Wagster, M. V., & Phelps, C. H.
- Affiliations
- Brigham and Women's Hospital (US)
- University of California San Diego (US)
- University of California, Davis (US)
- Rush University Medical Center (US)
- University of Washington (US)
- Washington University in St. Louis (US)
- The University of Tokyo (JP)
- Mayo Clinic (US)
- Oregon Health & Science University (US)
- The University of Texas at Dallas (US)
- Banner Alzheimer’s Institute (US)
- The University of Melbourne (AU)
- Eli Lilly (United States) (US)
- Columbia University Irving Medical Center (US)
- San Francisco VA Medical Center (US)
- Alzheimer's Association Chicago IL USA
- Alzheimer's Association (US)
- National Institutes of Health (US)
- Corresponding author
- Sperling, Reisa A.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2011-04-22
- Volume
- 7
- Issue
- 3
- Pages
- 280-292
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC3220946
- OpenAlex
- W2129497119
- Semantic Scholar
- 4718e61de2c928d77780b2a72fac704f18d8297b
- Cited by
- 7,155
- References
- 71
- Citations by year
- 2026: 375 · 2025: 467 · 2024: 485 · 2023: 445 · 2022: 534 · 2021: 575 · 2020: 550 · 2019: 533 · 2018: 513 · 2017: 471 · 2016: 468 · 2015: 461 · 2014: 417 · 2013: 418 · 2012: 302
- FWCI
- 277.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- National Institute on Aging
- Pfizer
- Baxter International
- Johnson and Johnson
- Eli Lilly and Company
- Bayer
- 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
- Alzheimer's disease, preclinical Alzheimer's disease
- MeSH terms
- Alzheimer Disease, Cognition Disorders, Humans, United States, Biomarkers, Practice Guidelines as Topic, National Institute on Aging (U.S.)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
