Mild cognitive impairment due to Alzheimer disease in the community
Open accessAbstract
Objective: The newly proposed National Institute on Aging–Alzheimer's Association (NIA‐AA) criteria for mild cognitive impairment (MCI) due to Alzheimer disease (AD) suggest a combination of clinical features and biomarker measures, but their performance in the community is not known. Methods: The Mayo Clinic Study of Aging (MCSA) is a population‐based longitudinal study of nondemented subjects in Olmsted County, Minnesota. A sample of 154 MCI subjects from the MCSA was compared to a sample of 58 amnestic MCI subjects from the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI‐1) to assess the applicability of the criteria in both settings and to assess their outcomes. Results: Fourteen percent of MCSA and 16% of ADNI‐1 of subjects were biomarker negative. In addition, 14% of MCSA and 12% of ADNI‐1 subjects had evidence for amyloid deposition only, whereas 43% of MCSA and 55% of ADNI‐1 subjects had evidence for amyloid deposition plus neurodegeneration (magnetic resonance imaging atrophy, fluorodeoxyglucose positron emission tomography hypometabolism, or both). However, a considerable number of subjects had biomarkers inconsistent with the proposed AD model; for example, 29% of MCSA subjects and 17% of ADNI‐1 subjects had evidence for neurodegeneration without amyloid deposition. These subjects may not be on an AD pathway. Neurodegeneration appears to be a key factor in predicting progression relative to amyloid deposition alone. Interpretation: The NIA‐AA criteria apply to most MCI subjects in both the community and clinical trials settings; however, a sizeable proportion of subjects had conflicting biomarkers, which may be very important and need to be explored. Ann Neurol 2013;74:199–208
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The rate of cognitive decline is significantly greater for cognitively impaired and CU individuals who have abnormalities in both an amyloid biomarker and a second biomarker type (CSF T-tau or P-tau, atrophy, or hypometabolism) in comparison to individuals who have neither or only one of these biomarker abnormalities.
“The rate of cognitive decline is significantly greater for cognitively impaired and CU individuals who have abnormalities in both an amyloid biomarker and a second biomarker type (which could be CSF T-tau or P-tau, atrophy, or hypometabolism) in comparison to individuals who have neither or only one of these biomarker abnormalities [30–35,39,40,42–45].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [39]
The Results report that, among participants with MCI, progression to dementia was most common in the amyloid-plus-neurodegeneration and neurodegeneration-only groups. The Discussion says the neurodegeneration-only group had the highest progression rate in the community cohort, although the difference was not statistically significant. The paper does not establish the claimed significantly faster cognitive decline across both cognitively impaired and cognitively unimpaired people; the Methods also state that CSF biomarkers were unavailable. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe combination of an abnormal MRI, CSF T-tau, or FDG PET study with an abnormal amyloid biomarker provides much more powerful prediction of future cognitive decline than an abnormal amyloid study alone.
“However, the combination of an abnormal MRI, CSF T-tau, or FDG PET study with an abnormal amyloid biomarker provides much more powerful prediction of future cognitive decline [30–35,39,40,42–45] than an abnormal amyloid study alone.”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [39]
The Results (page unavailable) report that, in both MCI cohorts, progression to dementia was most frequent in the amyloid-plus-neurodegeneration and neurodegeneration-only groups, and did not occur in the amyloid-only group. The study used MRI and FDG PET measures, but its Methods (page unavailable) state that CSF was not available. It therefore does not support the CSF T-tau part of the claim, and its outcome was progression to dementia rather than cognitive decline generally. (LLM, conf=0.88)
Experimental — accuracy not yet measuredStudies using PET scans to assess Alzheimer's disease biomarkers have reported that about half of people with mild cognitive impairment have Alzheimer's-related brain changes.
“studies assessing biomarkers for Alzheimer's disease with PET scans have reported that about half of people with MCI have Alzheimer's-related brain changes.230,231”
From 2023 Alzheimer's disease facts and figures (2023) · cites this paper as [230]
Studies assessing biomarkers for Alzheimer's disease with PET scans have reported that about half of people with MCI have Alzheimer's-related brain changes.
“Meanwhile, studies assessing biomarkers for Alzheimer's disease with PET scans have reported that about half of people with MCI have Alzheimer's‐related brain changes.”
From 2024 Alzheimer's disease facts and figures (2024) · cites this paper as [246]
MCI with negative biomarkers versus 1 or more AD pathology biomarkers or biomarkers of neurodegeneration has a 2 to 3 relative risk of progression to dementia (8% vs 17%-22% per year).
“MCI with negative biomarkers versus 1 or more AD pathology biomarkers (ie, AD pattern in CSF, high amyloid load in amyloid PET) or biomarkers of neurodegeneration (eg, AD pattern on structural MRI or fluorodeoxyglucose [FDG]-PET; high CSF tau and phospho-tau levels) has a 2 to 3 relative risk of progression to dementia (8% vs 17%-22% per year 33 ).”
From The Alzheimer’s Disease Clinical Spectrum (2019) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Diagnostic and Statistical Manual of Mental Disorders
(2012) · Springer eBooks · doi:10.1007/springerreference_121117 · Cited by 20,769 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Self-citationAlbert, 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 · see citing works
Self-citationThe Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
VALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE
Reitan, R. M. (1958) · Perceptual and Motor Skills · doi:10.2466/pms.1958.8.3.271 · Cited by 7,925 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
Self-citationMeasuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,789 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
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 · see citing works
Self-citationKaplan, E., Goodglass, H., Weıntraub, S., & Segal, O. (2001) · Medical Entomology and Zoology · Cited by 4,378 · see citing works
The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods
Jack, C. R., Bernstein, M. A., Fox, N. C., Thompson, P., Alexander, G., Harvey, D., Borowski, B., Britson, P. J., L. Whitwell, J., Ward, C., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21049 · Cited by 4,347 · see citing works
Self-citationWechsler Adult Intelligence Scale-III
Ryan, J. J., & Lopez, S. J. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1185-4_2 · Cited by 3,680 · see citing works
L’examen Clinique en Psychologie
Rubé, P. (1959) · American Journal of Psychotherapy · doi:10.1176/appi.psychotherapy.1959.13.4.989 · Cited by 3,299 · see citing works
Albert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · see citing works
Self-citationReynolds, C. R., & Powel, J. (1988) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/3.4.397 · Cited by 2,115 · see citing works
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065 · see citing works
Self-citationMild Cognitive Impairment: Ten Years Later
Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.266 · Cited by 1,447 · see citing works
Self-citationPetersen, R. C. (2011) · New England Journal of Medicine · doi:10.1056/nejmcp0910237 · Cited by 1,289 · see citing works
Self-citationCSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment
Mattsson, N. (2009) · JAMA · doi:10.1001/jama.2009.1064 · Cited by 1,176 · see citing works
Synthesis and Evaluation of 11C-Labeled 6-Substituted 2-Arylbenzothiazoles as Amyloid Imaging Agents
Mathis, C. A., Wang, Y., Holt, D. P., Huang, G.-F., Debnath, M. L., & Klunk, W. E. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm030026b · Cited by 976 · see citing works
Jack, C. R., Lowe, V. J., Senjem, M. L., Weigand, S. D., Kemp, B. J., Shiung, M. M., Knopman, D. S., Boeve, B. F., Klunk, W. E., Mathis, C. A., et al. (2008) · Brain · doi:10.1093/brain/awm336 · Cited by 958 · see citing works
Self-citationRoberts, R. O., Geda, Y. E., Knopman, D. S., Cha, R. H., Pankratz, V. S., Boeve, B. F., Ivnik, R. J., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2008) · Neuroepidemiology · doi:10.1159/000115751 · Cited by 796 · see citing works
Self-citationRocca, W. A., Yawn, B. P., Sauver, J. L. S., Grossardt, B. R., & Melton, L. J. (2012) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2012.08.012 · Cited by 791 · see citing works
Self-citationHippocampal and entorhinal atrophy in mild cognitive impairment
Devanand, D. P., Pradhaban, G., Liu, X., Khandji, A., Santi, S. D., Segal, S., Rusinek, H., Pelton, G. H., Honig, L. S., Mayeux, R. P., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000256697.20968.d7 · Cited by 739 · see citing works
Sauver, J. L. S., Grossardt, B. R., Leibson, C. L., Yawn, B. P., Melton, L. J., & Rocca, W. A. (2012) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2011.11.009 · Cited by 652 · see citing works
Self-citationSauver, J. L. S., Grossardt, B. R., Yawn, B. P., Melton, L. J., & Rocca, W. A. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwq482 · Cited by 649 · see citing works
Self-citationComparing predictors of conversion and decline in mild cognitive impairment
Landau, S. M., Harvey, D., Madison, C. M., Reiman, E. M., Foster, N. L., Aisen, P. S., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., Jack, C. R., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e8e8b8 · Cited by 616 · see citing works
Self-citationJack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602 · see citing works
Self-citationIvnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., & Petersen, R. C. (1996) · The Clinical Neuropsychologist · doi:10.1080/13854049608406689 · Cited by 547 · see citing works
Self-citationLopresti, B. J., Klunk, W. E., Mathis, C. A., Hoge, J. A., Ziolko, S. K., Lu, X., MELTZER, C. C., Schimmel, K., Tsopelas, N. D., DeKosky, S. T., et al. (2005) · PubMed · Cited by 536 · see citing works
Jack, C. R., Wiste, H. J., Vemuri, P., Weigand, S. D., Senjem, M. L., Zeng, G., Bernstein, M. A., Gunter, J. L., Pankratz, V. S., Aisen, P. S., et al. (2010) · Brain · doi:10.1093/brain/awq277 · Cited by 531 · see citing works
Self-citationNeuropathologic Substrate of Mild Cognitive Impairment
Markesbery, W. R., Schmitt, F. A., Kryscio, R. J., Davis, D. G., Smith, C. D., & Wekstein, D. R. (2006) · Archives of Neurology · doi:10.1001/archneur.63.1.38 · Cited by 460 · see citing works
Relationships between biomarkers in aging and dementia
Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., Foster, N. L., Petersen, R. C., Weiner, M. W., Price, J. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181bc010c · Cited by 456 · see citing works
Self-citationMayo's older americans normative studies: WAIS-R norms for ages 56 to 97
Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1992) · The Clinical Neuropsychologist · doi:10.1080/13854049208401877 · Cited by 446 · see citing works
Self-citationNeuropathologic Outcome of Mild Cognitive Impairment Following Progression to Clinical Dementia
Jicha, G. A., Parisi, J. E., Dickson, D. W., Johnson, K., Cha, R., Ivnik, R. J., Tangalos, E. G., Boeve, B. F., Knopman, D. S., Braak, H., et al. (2006) · Archives of Neurology · doi:10.1001/archneur.63.5.674 · Cited by 399 · see citing works
Self-citationMRI and CSF biomarkers in normal, MCI, and AD subjects
Vemuri, P., Wiste, H. J., Weigand, S. D., Shaw, L. M. J., Trojanowski, J. Q., Weiner, M. W., Knopman, D. S., Petersen, R. C., & Jack, C. R. (2009) · Neurology · doi:10.1212/wnl.0b013e3181af79fb · Cited by 398 · see citing works
Self-citationMRI correlates of neurofibrillary tangle pathology at autopsy: A voxel-based morphometry study
Whitwell, J. L., Josephs, K. A., Murray, M. E., Kantarci, K., Przybelski, S. A., Weigand, S. D., Vemuri, P., Senjem, M. L., Parisi, J. E., Knopman, D. S., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000324924.91351.7d · Cited by 376 · see citing works
Self-citationAssociation of Lifetime Cognitive Engagement and Low β-Amyloid Deposition
Marks, S. M. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.2748 · Cited by 342 · see citing works
Mayo's older Americans normative studies: updated AVLT norms for ages 56 to 97
Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1992) · Clinical Neuropsychologist · doi:10.1080/13854049208401880 · Cited by 310 · see citing works
Self-citationLeung, K. K., Barnes, J., Ridgway, G. R., Bartlett, J. W., Clarkson, M. J., Macdonald, K. E., Schuff, N. W., Fox, N. C., & Sebastien Ourselin, A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.018 · Cited by 244 · see citing works
Short-term clinical outcomes for stages of NIA-AA preclinical Alzheimer disease
Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182563bbe · Cited by 243 · see citing works
Self-citationMRI‐Based Hippocampal Volume Measurements in Epilepsy
Jack, C. R. (1994) · Epilepsia · doi:10.1111/j.1528-1157.1994.tb05986.x · Cited by 224 · see citing works
Self-citationEvidence for Ordering of Alzheimer Disease Biomarkers
Jack, C. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.183 · Cited by 221 · see citing works
Self-citationPredicting MCI outcome with clinically available MRI and CSF biomarkers
Heister, D. S., Brewer, J. B., Magda, S., Blennow, K., McEvoy, L. K., & Initiative, A. D. N. (2011) · Neurology · doi:10.1212/wnl.0b013e3182343314 · Cited by 201 · see citing works
Comparison of 18F-FDG and PiB PET in Cognitive Impairment
Lowe, V. J., Kemp, B. J., Jack, C. R., Senjem, M. L., Weigand, S. D., Shiung, M. S., Smith, G. E., Knopman, D. S., Boeve, B. F., Mullan, B. P., et al. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.058529 · Cited by 192 · see citing works
Self-citationVemuri, P., Whitwell, J. L., Kantarci, K., Josephs, K. A., Parisi, J. E., Shiung, M. S., Knopman, D. S., Boeve, B. F., Petersen, R. C., Dickson, D. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.05.012 · Cited by 172 · see citing works
Self-citationCognition and beta-amyloid in preclinical Alzheimer's disease: data from the AIBL study.
Pike, K., Ellis, K., Villemagne, V., Good, N. M., Chételat, G., Ames, D., Szoeke, C., Laws, S., Verdile, G., Martins, R., et al. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.04.012 · Cited by 167 · see citing works
Automated MRI measures predict progression to Alzheimer's disease
Desikan, R. S., Cabral, H., Settecase, F., Hess, C. P., Dillon, W. P., Glastonbury, C. M., Weiner, M. W., Schmansky, N. J., Salat, D. H., & Fischl, B. R. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.023 · Cited by 109 · see citing works
Self-citationMethodological considerations for measuring rates of brain atrophy
Gunter, J. L., Shiung, M. M., Manduca, A., & Jack, C. R. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10325 · Cited by 88 · see citing works
Self-citationAmyloid imaging in the prediction of Alzheimer-type dementia in subjects with amnestic MCI
Visser, P. J., & Knopman, D. S. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b61b5d · Cited by 14 · see citing works
Self-citation
Flagged first, then by citations
1 of the 51 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
Self-citation2023 Alzheimer's disease facts and figures
(2023) · Alzheimer's & Dementia · doi:10.1002/alz.13016 · Cited by 3,212 · see citing works
Knopman, D. S., Amieva, H., Petersen, R. C., Chételat, G., Holtzman, D. M., Hyman, B. T., Nixon, R. A., & Jones, D. T. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-021-00269-y · Cited by 2,606 · see citing works
Self-citation2024 Alzheimer's disease facts and figures
(2024) · Alzheimer's & Dementia · doi:10.1002/alz.13809 · Cited by 2,536 · see citing works
2022 Alzheimer's disease facts and figures
Anonymous (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12638 · Cited by 2,384 · see citing works
2021 Alzheimer's disease facts and figures
Anonymous (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12328 · Cited by 2,236 · see citing works
Mild cognitive impairment: a concept in evolution
Petersen, R. C., Caracciolo, B., Brayne, C., Gauthier, S., Jelic, V., & Fratiglioni, L. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12190 · Cited by 1,694 · see citing works
Self-citationPrimary age-related tauopathy (PART): a common pathology associated with human aging
Crary, J. F., Trojanowski, J. Q., Schneider, J. A., Abisambra, J. F., Abner, E. L., Alafuzoff, I., Arnold, S. E., Attems, J., Beach, T. G., Bigio, E. H., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1349-0 · Cited by 1,467 · see citing works
Self-citationThe Diagnosis and Management of Mild Cognitive Impairment: A Clinical Review
Langa, K. M., & Levine, D. A. (2014) · JAMA · doi:10.1001/jama.2014.13806 · Cited by 1,337 · see citing works
Petersen, R. C. (2016) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000000313 · Cited by 925 · see citing works
Self-citationThe Role of Amyloid-β Oligomers in Toxicity, Propagation, and Immunotherapy
Sengupta, U., Nilson, A. N., & Kayed, R. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.03.035 · Cited by 740 · see citing works
The Alzheimer’s Disease Clinical Spectrum
Atri, A. (2019) · Medical Clinics of North America · doi:10.1016/j.mcna.2018.10.009 · Cited by 623 · see citing works
On the path to 2025: understanding the Alzheimer’s disease continuum
Aisen, P. S., Cummings, J., Jack, C. R., Morris, J. C., Sperling, R., Frölich, L., Jones, R. W., Dowsett, S. A., Matthews, B. R., Raskin, J., et al. (2017) · Alzheimer's Research & Therapy · doi:10.1186/s13195-017-0283-5 · Cited by 556 · see citing works
Self-citationCurrent state of Alzheimer’s fluid biomarkers
Molinuevo, J. L., Ayton, S., Batrla, R., Bednar, M. M., Bittner, T., Cummings, J., Fagan, A. M., Hampel, H., Mielke, M. M., Mikulskis, A., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1932-x · Cited by 518 · see citing works
Self-citation2025 Alzheimer's disease facts and figures
(2025) · Alzheimer s & Dementia · doi:10.1002/alz.70235 · Cited by 569 · see citing works
Drug development in Alzheimer’s disease: the path to 2025
Cummings, J., Aisen, P. S., DuBois, B., Frölich, L., Jack, C. R., Jones, R. W., Morris, J. C., Raskin, J., Dowsett, S. A., & Scheltens, P. (2016) · Alzheimer's Research & Therapy · doi:10.1186/s13195-016-0207-9 · Cited by 459 · see citing works
Self-citationSuárez‐Calvet, M., Karikari, T. K., Ashton, N. J., Lantero Rodríguez, J., Milà‐Alomà, M., Gispert, J. D., Salvadó, G., Minguillon, C., Fauria, K., Shekari, M., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012921 · Cited by 401 · see citing works
Prevalence and prognosis of Alzheimer’s disease at the mild cognitive impairment stage
Vos, S. J. B., Verhey, F., Frölich, L., Kornhuber, J., Wiltfang, J., Maier, W., Peters, O., Rüther, E., Nobili, F., Morbelli, S., et al. (2015) · Brain · doi:10.1093/brain/awv029 · Cited by 383 · see citing works
Mild Cognitive Impairment and Mild Dementia: A Clinical Perspective
Knopman, D. S., & Petersen, R. C. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.06.019 · Cited by 395 · see citing works
Self-citationWeiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348 · see citing works
Self-citationLewczuk, P., Riederer, P. F., O’Bryant, S. E., Verbeek, M. M., Dubois, B., Visser, P. J., Jellinger, K. A., Engelborghs, S., Ramı́rez, A., Parnetti, L., et al. (2017) · The World Journal of Biological Psychiatry · doi:10.1080/15622975.2017.1375556 · Cited by 308 · see citing works
Self-citationSuspected 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 299 · see citing works
Self-citationShaw, L. M., Arias, J., Blennow, K., Galasko, D., Molinuevo, J. L., Salloway, S., Schindler, S., Carrillo, M. C., Hendrix, J. A., Ross, A., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.07.220 · Cited by 266 · see citing works
Edmonds, 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 · see citing works
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 252 · see citing works
Self-citationSubjective Cognitive Complaints Contribute to Misdiagnosis of Mild Cognitive Impairment
Edmonds, E. C., Delano-Wood, L., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s135561771400068x · Cited by 249 · see citing works
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 247 · see citing works
Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J. M., Donohue, M., Green, R. C., Harvey, D. J., Jack, C. R., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.04.005 · Cited by 240 · see citing works
Self-citationRoberts, R. O., Aakre, J. A., Kremers, W. K., Vassilaki, M., Knopman, D. S., Mielke, M. M., Alhurani, R., Geda, Y. E., Machulda, M. M., Coloma, P., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0629 · Cited by 223 · see citing works
Self-citationMagnetic resonance imaging in Alzheimer’s disease neuroimaging initiative 2
Jack, C. R., Barnes, J., Bernstein, M. A., Borowski, B. J., Brewer, J., Clegg, S., Dale, A. M., Carmichael, O., Ching, C., DeCarli, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.05.002 · Cited by 220 · see citing works
Self-citationBurnham, S. C., Bourgeat, P., Doré, V., Savage, G., Brown, B., Laws, S., Maruff, P., Salvado, O., Ames, D., Martins, R. N., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30125-9 · Cited by 207 · see citing works
Petersen, R. C., Wiste, H. J., Weigand, S. D., Rocca, W. A., Roberts, R. O., Mielke, M. M., Lowe, V. J., Knopman, D. S., Pankratz, V. S., Machulda, M. M., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2015.3098 · Cited by 196 · see citing works
Self-citationVeitch, D. P., Weiner, M. W., Aisen, P. S., Beckett, L. A., DeCarli, C., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., Landau, S. M., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12422 · Cited by 184 · see citing works
Self-citationCasagrande, M., Forte, G., Favieri, F., & Corbo, I. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19148457 · Cited by 195 · see citing works
Sex differences in the prevalence and incidence of mild cognitive impairment: A meta-analysis
Au, B., Dale-McGrath, S., & Tierney, M. C. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.09.005 · Cited by 166 · see citing works
Cheng, Y.-W., Chen, T.-F., & Chiu, M.-J. (2017) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s123428 · Cited by 150 · see citing works
Dickerson, B. C. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00055 · Cited by 151 · see citing works
Weissberger, G. H., Strong, J. V., Stefanidis, K. B., Summers, M. J., Bondi, M. W., & Stricker, N. H. (2017) · Neuropsychology Review · doi:10.1007/s11065-017-9360-6 · Cited by 152 · see citing works
Liguori, C., Nuccetelli, M., Izzi, F., Sancesario, G., Romigi, A., Martorana, A., Amoroso, C., Bernardini, S., Marciani, M. G., Mercuri, N. B., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.01.007 · Cited by 145 · see citing works
Mild cognitive impairment with suspected nonamyloid pathology (SNAP): Prediction of progression
Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C., Wall, A. E., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000001209 · Cited by 142 · see citing works
Self-citationAlzheimer's Disease Neuroimaging Initiative 2 Clinical Core: Progress and plans
Aisen, P. S. S., Petersen, R. C., Donohue, M., Weiner, M. W., & Initiative, A. D. N. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2015.05.005 · Cited by 139 · see citing works
Self-citationLeuzy, A., Janelidze, S., Mattsson-Carlgren, N., Palmqvist, S., Jacobs, D., Cicognola, C., Stomrud, E., Vanmechelen, E., Dage, J. L., & Hansson, O. (2021) · Neurology · doi:10.1212/wnl.0000000000012727 · Cited by 128 · see citing works
Baldeiras, I., Santana, I. J., Leitão, M. J., Gens, H., Pascoal, R., Tábuas‐Pereira, M., Beato-Coelho, J., Duro, D., Almeida, M. R., & Oliveira, C. R. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0362-2 · Cited by 118 · see citing works
Alzheimer's disease: The next frontier—Special Report 2017
Karlawish, J. H., Jack, C. R., Rocca, W. A., Snyder, H. M., & Carrillo, M. C. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.02.006 · Cited by 114 · see citing works
Self-citationProtein Misfolding and ER Stress in Huntington's Disease
Shacham, T., Sharma, N., & Lederkremer, G. Z. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00020 · Cited by 112 · see citing works
Genetic algorithm with logistic regression for prediction of progression to Alzheimer's disease
Johnson, P., Vandewater, L., Wilson, W. J., Maruff, P. T., Savage, G. R., Graham, P. L., Macaulay, L. S., Ellis, K. A., Szoeke, C. E. I., Martins, R. N., et al. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-s16-s11 · Cited by 110 · see citing works
Garrett, S. L., McDaniel, D. J., Obideen, M., Trammell, A. R., Shaw, L. M. J., Goldstein, F. C., & Hajjar, I. M. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.17363 · Cited by 106 · see citing works
Harrington, M. G., Chiang, J., Pogoda, J. M., Gomez, M. E., Thomas, K., Marion, S., Miller, K. J., Siddarth, P., Yi, X., Zhou, F., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079378 · Cited by 107 · see citing works
Outcomes after diagnosis of mild cognitive impairment in a large autopsy series
Abner, E. L., Kryscio, R. J., Schmitt, F. A., Fardo, D. W., Moga, D. C., Ighodaro, E. T., Jicha, G. A., Yu, L., Dodge, H. H., Xiong, C., et al. (2017) · Annals of Neurology · doi:10.1002/ana.24903 · Cited by 108 · see citing works
Gordon, B. A., Blazey, T., Su, Y., Fagan, A. M., Holtzman, D. M., Morris, J. C., & Benzinger, T. L. S. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2642 · Cited by 105 · see citing works
Synergistic interaction between amyloid and tau predicts the progression to dementia
Pascoal, T. A., Mathotaarachchi, S., Shin, M., Benedet, A. L., Mohades, S., Wang, S., Beaudry, T., Kang, M. S., Soucy, J., Labbe, A., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.11.005 · Cited by 101 · see citing works
Vos, S. J. B., Gordon, B. A., Su, Y., Visser, P. J., Holtzman, D. M., Morris, J. C., Fagan, A. M., & Benzinger, T. L. S. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.03.025 · Cited by 98 · see citing works
Stevens, L. M., & Brown, R. E. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.10.033 · Cited by 92 · see citing works
How early can we diagnose Alzheimer disease (and is it sufficient)?
Petersen, R. C. (2018) · Neurology · doi:10.1212/wnl.0000000000006088 · Cited by 92 · see citing works
Self-citationAmyloid-β deposition and regional grey matter atrophy rates in dementia with Lewy bodies
Sarro, L., Senjem, M. L., Lundt, E. S., Przybelski, S. A., Lesnick, T. G., Graff-Radford, J., Boeve, B. F., Lowe, V. J., Ferman, T. J., Knopman, D. S., et al. (2016) · Brain · doi:10.1093/brain/aww193 · Cited by 89 · see citing works
Self-citationJack, C. R. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1362-3 · Cited by 88 · see citing works
Self-citationWolk, D., Sadowsky, C., Safirstein, B., Rinne, J., Duara, R., Perry, R., Agronin, M., Gámez, J. E., Shi, J., Ivanoiu, A., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0894 · Cited by 83 · see citing works
Prestia, A., Caroli, A., Wade, S., van der Flier, W. M., Ossenkoppele, R., van Berckel, B. N. M., Barkhof, F., Teunissen, C. E., Wall, A. E., Carter, S. F., et al. (2015) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.12.001 · Cited by 84 · see citing works
Spectrum of cognition short of dementia
Knopman, D. S., Beiser, A., Machulda, M. M., Fields, J. A., Roberts, R. O., Pankratz, V. S., Aakre, J. A., Cha, R. H., Rocca, W. A., Mielke, M. M., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000002100 · Cited by 81 · see citing works
Self-citationSuspected non-AD pathology in mild cognitive impairment
Wisse, L. E. M., Butala, N., Das, S. R., Davatzikos, C., Dickerson, B. C., Vaishnavi, S. N., Yushkevich, P. A., & Wolk, D. A. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.08.029 · Cited by 78 · see citing works
Clark, D. G., McLaughlin, P. M., Woo, E., Hwang, K., Hurtz, S., Ramirez, L. M., Eastman, J. A., Dukes, R., Kapur, P., DeRamus, T. P., et al. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.02.001 · Cited by 78 · see citing works
Strategic Lesions in the Anterior Thalamic Radiation and Apathy in Early Alzheimer's Disease
Torso, M., Serra, L., Giulietti, G., Spanò, B., Tuzzi, E., Koch, G., Caltagirone, C., Cercignani, M., & Bozzali, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0124998 · Cited by 78 · see citing works
Low-dose ladostigil for mild cognitive impairment: A phase 2 placebo-controlled clinical trial
Schneider, L. S., Geffen, Y., Rabinowitz, J., Thomas, R. G., Schmidt, R., Ropele, S., Weinstock, M., & on behalf of the Ladostigil Study Group (2019) · Neurology · doi:10.1212/wnl.0000000000008239 · Cited by 75 · see citing works
Yu, J., Li, J., John Suckling, A., Feng, L., Pan, A., Wang, Y., Song, B., Zhu, S., Li, D., Wang, H.-F., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.05.006 · Cited by 73 · see citing works
Self-citationBeishon, L., Batterham, A. P., Quinn, T. J., Nelson, C. P., Panerai, R. B., Robinson, T. G., & Haunton, V. J. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013282.pub2 · Cited by 72 · see citing works
(ADNI), T. A. D. N. I., Bouallègue, F. B., Mariano‐Goulart, D., & Payoux, P. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0260-z · Cited by 71 · see citing works
Fonteh, A. N., Ormseth, C. H., Chiang, J., Cipolla, M., Arakaki, X., & Harrington, M. G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125597 · Cited by 72 · see citing works
Dysfunction of mitochondria: Implications for Alzheimer's disease
Albensi, B. C. (2019) · International review of neurobiology · doi:10.1016/bs.irn.2019.03.001 · Cited by 68 · see citing works
Cavedo, E., Lista, S., Khachaturian, Z., Aisen, P., Amouyel, P., Herholz, K., Jack Jr, C. R., Sperling, R., Cummings, J., Blennow, K., et al. (2014) · The Journal of Prevention of Alzheimer's Disease · doi:10.14283/jpad.2014.32 · Cited by 67 · see citing works
Self-citationImpaired Parahippocampus Connectivity in Mild Cognitive Impairment and Alzheimer’s Disease
Liu, J., Zhang, X., Yu, C., Duan, Y., Zhuo, J., Cui, Y. J., Liu, B., Li, K., Jiang, T., & Liu, Y. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150727 · Cited by 66 · see citing works
Communicating mild cognitive impairment diagnoses with and without amyloid imaging
Grill, J. D., Apostolova, L. G., Bullain, S., Burns, J. M., Cox, C. G., Dick, M. B., Hartley, D. M., Kawas, C. H., Kremen, S. A., Lingler, J. H., et al. (2017) · Alzheimer s Research & Therapy · doi:10.1186/s13195-017-0261-y · Cited by 66 · see citing works
Limited agreement between biomarkers of neuronal injury at different stages of Alzheimer's disease
Alexopoulos, P., Kriett, L., Haller, B., Klupp, E., Gray, K., Grimmer, T., Laskaris, N., Förster, S., Perneczky, R., Kurz, A., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.006 · Cited by 62 · see citing works
Νούσια, Α., Μαρτζούκου, Μ., Siokas, V., Aretouli, E., Aloizou, A., Folia, V., Peristeri, E., Messinis, L., Nasios, G., & Dardiotis, E. (2019) · Applied Neuropsychology Adult · doi:10.1080/23279095.2019.1692842 · Cited by 61 · see citing works
Lu, K., Nicholas, J. M., Collins, J. D., James, S., Parker, T. D., Lane, C., Keshavan, A., Keuss, S. E., Buchanan, S. M., Murray‐Smith, H., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000008534 · Cited by 59 · see citing works
FDG PET metabolic signatures distinguishing prodromal DLB and prodromal AD
Kantarci, K., Boeve, B. F., Przybelski, S. A., Lesnick, T. G., Chen, Q., Fields, J. A., Schwarz, C. G., Senjem, M. L., Gunte, J. L., Jack, C. R., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102754 · Cited by 58 · see citing works
Self-citationAmyloid, neurodegeneration, and small vessel disease as predictors of dementia in the oldest-old
López, O. L., Klunk, W. E., Mathis, C. A., Coleman, R. L., Price, J. C., Becker, J. T., Aizenstein, H. J., Snitz, B. E., Cohen, A. D., Ikonomović, M. D., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000977 · Cited by 57 · see citing works
Zou, J., Tao, S., Johnson, A., Tomljanovic, Z., Polly, K., Klein, J., Razlighi, Q., Brickman, A., Lee, S., Stern, Y., et al. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.019 · Cited by 50 · see citing works
Shen, X., Li, J., Wang, H., Li, H., Huang, Y., Yang, Y., Tan, L., Dong, Q., Yu, J., & Initiative, A. D. N. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12104 · Cited by 57 · see citing works
Smid, J., Studart‐Neto, A., César‐Freitas, K. G., Dourado, M. C. N., Kochhann, R., Barbosa, B. J. A. P., Schilling, L. P., Balthazar, M. L. F., Frota, N. A. F., de Souza, L. C., et al. (2022) · Dementia & Neuropsychologia · doi:10.1590/1980-5764-dn-2022-s101pt · Cited by 55 · see citing works
Mazerolle, M., Régner, I., Barber, S. J., Paccalin, M., Miazola, A.-C., Huguet, P., & Rigalleau, F. (2016) · The Journals of Gerontology Series B · doi:10.1093/geronb/gbw083 · Cited by 55 · see citing works
Grøntvedt, G. R., Lauridsen, C., Berge, G., White, L. R., Salvesen, Ø. O., Bråthen, G., & Sando, S. B. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191227 · Cited by 54 · see citing works
Ruchinskas, R. A. (2019) · The Clinical Neuropsychologist · doi:10.1080/13854046.2019.1585574 · Cited by 52 · see citing works
Pittsburgh compound-B PET white matter imaging and cognitive function in late multiple sclerosis
Zeydan, B., Lowe, V. J., Schwarz, C. G., Przybelski, S. A., Tosakulwong, N., Zuk, S. M., Senjem, M. L., Gunter, J. L., Roberts, R. O., Mielke, M. M., et al. (2017) · Multiple Sclerosis Journal · doi:10.1177/1352458517707346 · Cited by 51 · see citing works
Self-citationProspective biomarkers of Alzheimer’s disease: A systematic review and meta-analysis
Li, R., Ma, Y., Tan, L., & Yu, J. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101699 · Cited by 52 · see citing works
The emerging role of PET imaging in dementia
Iaccarino, L., Sala, A., Caminiti, S. P., & Perani, D. (2017) · F1000Research · doi:10.12688/f1000research.11603.1 · Cited by 51 · see citing works
Suspected non-Alzheimer's pathology – Is it non-Alzheimer's or non-amyloid?
Dani, M., Brooks, D. J., & Edison, P. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.02.003 · Cited by 48 · see citing works
Tremblay, C., François, A., Delay, C., Freland, L., Vandal, M., Bennett, D. A., & Calon, F. (2017) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlw109 · Cited by 44 · see citing works
Association between physical activity and conversion from mild cognitive impairment to dementia
Kim, Y. J., Han, K., Baek, M. S., Cho, H., Lee, E. J., & Lyoo, C. H. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00707-1 · Cited by 45 · see citing works
Hildreth, K. L., Pelt, R. E. V., Moreau, K. L., Grigsby, J., Hoth, K. F., Pelak, V. S., Anderson, C. A., Parnes, B. L., Kittelson, J. M., Wolfe, P., et al. (2015) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000371509 · Cited by 44 · see citing works
Bazrgar, M., Khodabakhsh, P., Prudencio, M., Mohagheghi, F., & Ahmadiani, A. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105805 · Cited by 44 · see citing works
Wadley, V. G., Bull, T. P., Zhang, Y., Barba, C., Bryan, R. N., Crowe, M. G., Desiderio, L. M., DEUTSCH, G., Erus, G., Geldmacher, D., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa312 · Cited by 43 · see citing works
Burke, S. L., Hu, T., Spadola, C., Li, T., Naseh, M., Burgess, A., & Cadet, T. J. (2018) · Sleep Medicine · doi:10.1016/j.sleep.2018.09.001 · Cited by 40 · see citing works
Smid, J., Studart‐Neto, A., César‐Freitas, K. G., Dourado, M. C. N., Kochhann, R., Barbosa, B. J. A. P., Schilling, L. P., Balthazar, M. L. F., Frota, N. A. F., de Souza, L. C., et al. (2022) · Dementia & Neuropsychologia · doi:10.1590/1980-5764-dn-2022-s101en · Cited by 41 · see citing works
Ye, B. S., Kim, Y. J., Kim, Y. J., Jung, N., Lee, J. S., Lee, J., Jang, Y. K., Yang, J., Lee, J. M., Vogel, J. W., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-23676-w · Cited by 41 · see citing works
Sala, I., Illán‐Gala, I., Alcolea, D. A., Sánchez‐Saudinós, M. B., Salgado, S. A., Morenas‐Rodríguez, E., Subirana, A., Videla, L., Clarimón, J., Carmona‐Iragui, M., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170073 · Cited by 38 · see citing works
Wirth, M., Bejanin, A., Joie, R. L., Arenaza‐Urquijo, E. M., Gonneaud, J., Landeau, B., Perrotin, A., Mézenge, F., Sayette, V. D. L., Desgranges, B., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.10.023 · Cited by 37 · see citing works
Visuospatial function predicts one-week motor skill retention in cognitively intact older adults
VanGilder, J. L., Hengge, C. R., Duff, K. M., & Schaefer, S. Y. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.11.032 · Cited by 38 · see citing works
Hall, A., Initiative, A. D. N., Muñoz‐Ruiz, M. Á., Mattila, J., Koikkalainen, J. R., Tsolaki, M., Mecocci, P., Kłoszewska, I., Vellas, B. J., Lovestone, S., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-140942 · Cited by 38 · see citing works
Giulietti, G., Torso, M., Serra, L., Spanò, B., Marra, C., Caltagirone, C., Cercignani, M., Bozzali, M., & (ADNI), T. A. D. N. I. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25947 · Cited by 37 · see citing works
Zeydan, B., Deelchand, D. K., Tosakulwong, N., Lesnick, T. G., Kantarci, O. H., Machulda, M. M., Knopman, D. S., Lowe, V. J., Jack, C. R., Petersen, R. C., et al. (2017) · Journal of Neuroimaging · doi:10.1111/jon.12454 · Cited by 37 · see citing works
Self-citation
- Authors
- Petersen, R. C., Aisen, P., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Knopman, D. S., Mielke, M., Pankratz, V. S., Roberts, R., Rocca, W. A., Weigand, S., Weiner, M., Wiste, H., & Jack, C. R.
- Affiliations
- Mayo Clinic (US)
- University of California San Diego (US)
- University of California, San Francisco (US)
- Corresponding author
- Petersen, Ronald C.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2013-08
- Volume
- 74
- Issue
- 2
- Pages
- 199-208
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC3804562
- OpenAlex
- W1559001474
- Cited by
- 265
- References
- 51
- Citations by year
- 2026: 11 · 2025: 11 · 2024: 15 · 2023: 13 · 2022: 16 · 2021: 21 · 2020: 18 · 2019: 31 · 2018: 25 · 2017: 26 · 2016: 28 · 2015: 25 · 2014: 18 · 2013: 7
- FWCI
- 18.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health (5u01ag024904-10)
- Canadian Institutes of Health Research
- National Institute on Aging (U01-AG-024904, R01AG034676, P30AG010129, U01AG006786, K01AG030514, R01AG011378, R01AG041851, P50AG016574)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- mild cognitive impairment, Alzheimer's disease, NIA-AA criteria, amyloid deposition, neurodegeneration, biomarkers, amyloid PET, FDG-PET hypometabolism, brain atrophy, conversion to dementia, Mayo Clinic Study of Aging, non-demented elderly
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Amyloid, Female, Humans, Male, Neuropsychological Tests, Random Allocation, Residence Characteristics, Biomarkers, Cognitive Dysfunction
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
