The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
An operational approach to National Institute on Aging–Alzheimer's Association criteria for preclinical Alzheimer disease
Open accessAbstract
OBJECTIVE: A workgroup commissioned by the Alzheimer's Association (AA) and the National Institute on Aging (NIA) recently published research criteria for preclinical Alzheimer disease (AD). We performed a preliminary assessment of these guidelines. METHODS: We employed Pittsburgh compound B positron emission tomography (PET) imaging as our biomarker of cerebral amyloidosis, and (18) fluorodeoxyglucose PET imaging and hippocampal volume as biomarkers of neurodegeneration. A group of 42 clinically diagnosed AD subjects was used to create imaging biomarker cutpoints. A group of 450 cognitively normal (CN) subjects from a population-based sample was used to develop cognitive cutpoints and to assess population frequencies of the different preclinical AD stages using different cutpoint criteria. RESULTS: The new criteria subdivide the preclinical phase of AD into stages 1 to 3. To classify our CN subjects, 2 additional categories were needed. Stage 0 denotes subjects with normal AD biomarkers and no evidence of subtle cognitive impairment. Suspected non-AD pathophysiology (SNAP) denotes subjects with normal amyloid PET imaging, but abnormal neurodegeneration biomarker studies. At fixed cutpoints corresponding to 90% sensitivity for diagnosing AD and the 10th percentile of CN cognitive scores, 43% of our sample was classified as stage 0, 16% stage 1, 12 % stage 2, 3% stage 3, and 23% SNAP. INTERPRETATION: This cross-sectional evaluation of the NIA-AA criteria for preclinical AD indicates that the 1-3 staging criteria coupled with stage 0 and SNAP categories classify 97% of CN subjects from a population-based sample, leaving only 3% unclassified. Future longitudinal validation of the criteria will be important.
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
“Initial studies in this emerging area have identified subgroups of older adults with subtle cognitive decline that do not conform to expected patterns and investigators have designated them as Suspected Non-Alzheimer Pathology (SNAP) and Unclassified groups [51, 52].”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [51]
Experimental — accuracy not yet measuredIn the citing paper
“Our hypothesis, therefore, can accommodate a growing realization that for many subjects with suspected AD, or who have an increased risk of developing AD, what are currently considered downstream biomarker changes potentially precede upstream biomarker changes [206-213].”
From The Alzheimer’s disease mitochondrial cascade hypothesis: progress and perspectives (2014) · cites this paper as [212]
In the citing paper
“Yet, this finding is in line with recent studies showing that AD-type atrophy and/or hypometabolism can be found in both Aβ-negative healthy controls (Jack et al., 2012) and Aβ-negative MCI patients (Prestia et al., 2013).”
From Hippocampal subfield volumetry in mild cognitive impairment, Alzheimer's disease and semantic dementia (2013) · cites this paper as Jack et al., 2012
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
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
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-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-citationImaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496
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-citationMixed brain pathologies account for most dementia cases in community-dwelling older persons
Schneider, J. A., Arvanitakis, Z., Bang, W., & Bennett, D. A. (2007) · Neurology · doi:10.1212/01.wnl.0000271090.28148.24 · Cited by 1,992
Tunis (2003) · doi:10.1001/jama.290.12.1624 · Cited by 1,724
Reiman, E. M., Caselli, R. J., Yun, L. S., Chen, K., Bandy, D., Minoshima, S., Thibodeau, S. N., & Osborne, D. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603213341202 · Cited by 1,366
Neuropathology of older persons without cognitive impairment from two community-based studies
Bennett, D. A., Schneider, J. A., Arvanitakis, Z., Kelly, J. F., Aggarwal, N. T., Shah, R. C., & Wilson, R. S. (2006) · Neurology · doi:10.1212/01.wnl.0000219668.47116.e6 · Cited by 1,336
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153
Imaging β-amyloid burden in aging and dementia
Rowe, C. C., Ng, S., Ackermann, U., Gong, S. J., Pike, K., Savage, G., Cowie, T. F., Dickinson, K. L., Maruff, P., Darby, D., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000261919.22630.ea · Cited by 1,104
Jack, C. R., Lowe, V. J., Weigand, S. D., Wiste, H. J., Senjem, M. L., Knopman, D. S., Shiung, M. M., Gunter, J. L., Boeve, B. F., Kemp, B. J., et al. (2009) · Brain · doi:10.1093/brain/awp062 · Cited by 1,099
Self-citationFrequent amyloid deposition without significant cognitive impairment among the elderly
Aizenstein, H. J., Nebes, R. D., Saxton, J. A., Price, J. C., Mathis, C. A., Tsopelas, N. D., Ziolko, S. K., James, J. A., Snitz, B. E., Houck, P. R., et al. (2008) · Archives of Neurology · doi:10.1001/archneur.65.11.1509 · Cited by 1,059
[ 11 C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
Mintun, M. A., LaRossa, G. N., Sheline, Y. I., Dence, C. S., Lee, S. Y., Mach, R. H., Klunk, W. E., Mathis, C. A., DeKosky, S. T., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228230.26044.a4 · Cited by 1,036
Amyloid imaging results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging
Rowe, C. C., Ellis, K. A., Rimajova, M., Bourgeat, P., Pike, K. E., Jones, G., Fripp, J., Tochon-Danguy, H., Morandeau, L., O'Keefe, G., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.007 · Cited by 986
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
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
Self-citationThe neuropathology of probable Alzheimer disease and mild cognitive impairment
Schneider, J. A., Arvanitakis, Z., Leurgans, S. E., & Bennett, D. A. (2009) · Annals of Neurology · doi:10.1002/ana.21706 · Cited by 935
Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease
Villemagne, V. L., Pike, K. E., Chételat, G., Ellis, K. A., Mulligan, R. S., Bourgeat, P., Ackermann, U., Jones, G., Szoeke, C., Salvado, O., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22248 · Cited by 833
Roberts, 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 797
Self-citationPrevalence of mild cognitive impairment is higher in men
Petersen, R. C., Roberts, R. O., Knopman, D. S., Geda, Y. E., Cha, R. H., Pankratz, V. S., Boeve, B. F., Tangalos, E. G., Ivnik, R. J., & Rocca, W. A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181f11d85 · Cited by 771
Self-citationKinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B
Price, J. C., Klunk, W. E., Lopresti, B. J., Lu, X., Hoge, J. A., Ziolko, S. K., Holt, D. P., MELTZER, C. C., DeKosky, S. T., & Mathis, C. A. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600146 · Cited by 723
Multimodal techniques for diagnosis and prognosis of Alzheimer's disease
Perrin, R. J., Fagan, A. M., & Holtzman, D. M. (2009) · Nature · doi:10.1038/nature08538 · Cited by 702
Episodic memory loss is related to hippocampal-mediated -amyloid deposition in elderly subjects
Mormino, E. C., Kluth, J. T., Madison, C. M., Rabinovici, G. D., Baker, S. L., Miller, B. L., Koeppe, R. A., Mathis, C. A., Weiner, M. W., Jagust, W. J., et al. (2009) · Brain · doi:10.1093/brain/awn320 · Cited by 684
Schuff, N., Woerner, N., Boreta, L., Kornfield, T., Shaw, L. M., Trojanowski, J. Q., Thompson, P. M., Jack, C. R., Weiner, M. W., & Initiative, T. A. D. N. (2008) · Brain · doi:10.1093/brain/awp007 · Cited by 679
Self-citationNeuropathology of Cognitively Normal Elderly
Knopman, D. S., Parisi, J. E., Salviati, A., Floriach-Robert, M., Boeve, B. F., Ivnik, R. J., Smith, G. E., Dickson, D. W., Johnson, K. A., Petersen, L. E., et al. (2003) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/62.11.1087 · Cited by 674
Self-citationEarly Aβ accumulation and progressive synaptic loss, gliosis, and tangle formation in AD brain
Ingelsson, M., Fukumoto, H., Newell, K. L., Growdon, J. H., Hedley–Whyte, E. T., Frosch, M. P., Albert, M. S., Hyman, B. T., & Irizarry, M. C. (2004) · Neurology · doi:10.1212/01.wnl.0000115115.98960.37 · Cited by 666
Comparing 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
Self-citationJack, C. R., Twomey, C. K., Zinsmeister, A. R., Sharbrough, F. W., Petersen, R. C., & Cascino, G. D. (1989) · Radiology · doi:10.1148/radiology.172.2.2748838 · Cited by 592 · cited 1×
“e4 carrier 38 [24] 25 [40] 20 [40] 7 [58] 12 [13] 1 [8]”
Self-citationThe Role of Metabolic Disorders in Alzheimer Disease and Vascular Dementia: Two Roads Converged
Craft, S. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.27 · Cited by 547
The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core
Jagust, W. J., Bandy, D., Chen, K., Foster, N. L., Landau, S. M., Mathis, C. A., Price, J. C., Reiman, E. M., Skovronsky, D., Koeppe, R. A., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.003 · Cited by 542
Lopresti, 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
Preclinical prediction of AD using neuropsychological tests
Albert, M., Moss, M. B., Tanzi, R. E., & JONES, K. (2001) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617701755105 · Cited by 532
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
Self-citationMorris, J. C., Roe, C. M., Grant, E. A., Head, D., Storandt, M., Goate, A. M., Fagan, A. M., Holtzman, D. M., & Mintun, M. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.269 · Cited by 476
Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studies
Vemuri, P., Gunter, J. L., Senjem, M. L., Whitwell, J. L., Kantarci, K., Knopman, D. S., Boeve, B. F., Petersen, R. C., & Jack, C. R. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.073 · Cited by 465
Self-citationCerebral infarctions and the likelihood of dementia from Alzheimer disease pathology
Schneider, J. A., Wilson, R. S., Bienias, J. L., Evans, D. A., & Bennett, D. A. (2004) · Neurology · doi:10.1212/01.wnl.0000118211.78503.f5 · Cited by 436
Pathological correlates of dementia in a longitudinal, population‐based sample of aging
Sonnen, J. A., Larson, E. B., Crane, P. K., Haneuse, S., Li, G., Schellenberg, G. D., Craft, S., Leverenz, J. B., & Montine, T. J. (2007) · Annals of Neurology · doi:10.1002/ana.21208 · Cited by 432
Cognition, reserve, and amyloid deposition in normal aging
Rentz, D. M., Locascio, J. J., Becker, J. A., Moran, E. K., Eng, E., Buckner, R. L., Sperling, R. A., & Johnson, K. A. (2009) · Annals of Neurology · doi:10.1002/ana.21904 · Cited by 420
Langa, K. M., Foster, N. L., & Larson, E. B. (2004) · JAMA · doi:10.1001/jama.292.23.2901 · Cited by 404
Alzheimer-signature MRI biomarker predicts AD dementia in cognitively normal adults
Dickerson, B. C., Stoub, T. R., Shah, R. C., Sperling, R. A., Killiany, R., Albert, M., Hyman, B. T., Blacker, D., & deToledo‐Morrell, L. (2011) · Neurology · doi:10.1212/wnl.0b013e3182166e96 · Cited by 392
Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative
Jack, C. R., Bernstein, M. A., Borowski, B., Gunter, J. L., Fox, N. C., Thompson, P. M., Schuff, N. W., Krüger, G., Killiany, R., DeCarli, C. S., et al. (2010) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.03.004 · Cited by 379
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
Self-citationThe Neuropathology of Older Persons with and Without Dementia from Community versus Clinic Cohorts
Schneider, J. A., Aggarwal, N. T., Barnes, L., Boyle, P., & Bennett, D. A. (2009) · Journal of Alzheimer's Disease · doi:10.3233/jad-2009-1227 · Cited by 372
“Preclinical” AD revisited: Neuropathology of cognitively normal older adults
Schmitt, F. A., Davis, D. G., Wekstein, D. R., Smith, C. D., Ashford, J. W., & Markesbery, W. R. (2000) · Neurology · doi:10.1212/wnl.55.3.370 · Cited by 369
Fagan, A. M., Mintun, M. A., Shah, A. R., Aldea, P., Roe, C. M., Mach, R. H., Marcus, D., Morris, J. C., & Holtzman, D. M. (2009) · EMBO Molecular Medicine · doi:10.1002/emmm.200900048 · Cited by 353
Amyloid‐β associated cortical thinning in clinically normal elderly
Becker, J. A., Hedden, T., Carmasin, J., Maye, J., Rentz, D. M., Putcha, D., Fischl, B., Greve, D. N., Marshall, G. A., Salloway, S., et al. (2011) · Annals of Neurology · doi:10.1002/ana.22333 · Cited by 342
Decreased cerebrospinal fluid Aβ 42 correlates with brain atrophy in cognitively normal elderly
Fagan, A. M., Head, D., Shah, A. R., Marcus, D., Mintun, M., Morris, J. C., & Holtzman, D. M. (2009) · Annals of Neurology · doi:10.1002/ana.21559 · Cited by 327 · cited 1×
“[%] 94 [49] 35 [50] 19 [34] 6 [46] 41 [40] 10 [67]”
Storandt, M., Mintun, M. A., Head, D. M., & Morris, J. C. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.272 · Cited by 309
Glasgow, R. E., Magid, D. J., Beck, A., Ritzwoller, D., & Estabrooks, P. A. (2005) · Medical Care · doi:10.1097/01.mlr.0000163645.41407.09 · Cited by 308
Longitudinal cognitive decline is associated with fibrillar amyloid-beta measured by [ 11 C]PiB
Resnick, S. M., Sojkova, J., Zhou, Y., An, Y., Ye, W., Holt, D. P., Dannals, R. F., Mathis, C. A., Klunk, W. E., Ferrucci, L., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181d3e3e9 · Cited by 288
Measuring cognitive reserve based on the decomposition of episodic memory variance
Reed, B. R., Mungas, D., Farias, S. T., Harvey, D., Beckett, L., Widaman, K., Hinton, L., & DeCarli, C. (2010) · Brain · doi:10.1093/brain/awq154 · Cited by 271
MRI 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.0b013e3181af79e5 · Cited by 251
Self-citationAD lesions and infarcts in demented and non‐demented Japanese‐American men
Petrovitch, H., Ross, G. W., Steinhorn, S. C., Abbott, R. D., Markesbery, W., Davis, D., Nelson, J., Hardman, J., Masaki, K., Vogt, M. R., et al. (2005) · Annals of Neurology · doi:10.1002/ana.20318 · Cited by 230
Longitudinal Change of Biomarkers in Cognitive Decline
Lo, R. Y. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.123 · Cited by 196
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 196
Self-citationEffect of apolipoprotein E on biomarkers of amyloid load and neuronal pathology in Alzheimer disease
Vemuri, P., Wiste, H. J., Weigand, S. D., Knopman, D. S., Shaw, L. M., Trojanowski, J. Q., Aisen, P. S., Weiner, M., Petersen, R. C., Jack, C. R., et al. (2010) · Annals of Neurology · doi:10.1002/ana.21953 · Cited by 195
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
Self-citationMeasurement of MRI scanner performance with the ADNI phantom
Gunter, J. L., Bernstein, M. A., Borowski, B., Ward, C. P., Britson, P. J., Felmlee, J. P., Schuff, N. W., Weiner, M. W., & Jack, C. R. (2009) · Medical Physics · doi:10.1118/1.3116776 · Cited by 172
Self-citationLongitudinal change in hippocampal volume as a function of apolipoprotein E genotype
Moffat, S. D., Szekely, C. A., Zonderman, A. B., Kabani, N. J., & Resnick, S. M. (2000) · Neurology · doi:10.1212/wnl.55.1.134 · Cited by 169
Characterizing Alzheimer's disease using a hypometabolic convergence index
Chen, K., Ayutyanont, N., Langbaum, J. B. S., Fleisher, A., Reschke, C., Lee, W., Liu, X., Bandy, D., Alexander, G. E., Thompson, P. M., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.049 · Cited by 165
Self-citationCognition and beta-amyloid in preclinical Alzheimer's disease: Data from the AIBL study
Pike, K. E., Ellis, K. A., Villemagne, V. L., Good, N. M., Chételat, G., Ames, D. J., Szoeke, C. E. I., Laws, S. M., Verdile, G., Martins, R. N., et al. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.04.012 · Cited by 161
White, L., Small, B. J., Petrovitch, H., Ross, G. W., Masaki, K., Abbott, R. D., Hardman, J., Davis, D., Nelson, J., & Markesbery, W. (2005) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988705281872 · Cited by 155
CSF biomarker levels in early and late onset Alzheimer's disease
Bouwman, F. H., Schoonenboom, N. S. M., Verwey, N. A., van Elk, E. J., Kok, A., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.02.007 · Cited by 150
Increased brain atrophy rates in cognitively normal older adults with low cerebrospinal fluid Aβ1‐42
Schott, J. M., Bartlett, J. W., Fox, N. C., Barnes, J., & Initiative, A. D. N. (2010) · Annals of Neurology · doi:10.1002/ana.22315 · Cited by 146
Peskind, E. R., Li, G., Shofer, J., Quinn, J. F., Kaye, J. A., Clark, C. M., Farlow, M. R., DeCarli, C., Raskind, M. A., Schellenberg, G. D., et al. (2006) · Archives of Neurology · doi:10.1001/archneur.63.7.936 · Cited by 131
Stomrud, E., Hansson, O., Zetterberg, H., Blennow, K., Minthon, L., & Londos, E. (2010) · Archives of Neurology · doi:10.1001/archneurol.2009.316 · Cited by 118
Consideration of Optimal Time Window for Pittsburgh Compound B PET Summed Uptake Measurements
McNamee, R. L., Yee, S., Price, J. C., Klunk, W. E., Rosario, B. L., Weissfeld, L. A., Ziolko, S. K., Berginc, M., Lopresti, B. J., DeKosky, S. T., et al. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.057612 · Cited by 115
Selective Disruption of the Cerebral Neocortex in Alzheimer's Disease
Desikan, R. S., Sabuncu, M. R., Schmansky, N. J., Reuter, M., Cabral, H., Hess, C. P., Weiner, M. W., Biffi, A., Anderson, C. D., Rosand, J. M., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012853 · Cited by 83
Chiang, G. C.-Y., Insel, P. S., Tosun, D., Schuff, N. W., Truran‐Sacrey, D., Raptentsetsang, S. T., Jack, C. R., Weiner, M. W., & Initiative, A. D. N. (2011) · Radiology · doi:10.1148/radiol.11101637 · Cited by 44
Self-citationPrice (1999) · doi:10.1002/1531-8249(199903)45:3
Flagged first, then by citations
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
Self-citationVillemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., Szoeke, C., Macaulay, S. L., Martins, R., Maruff, P., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70044-9 · Cited by 2,279
A/T/N: An unbiased descriptive classification scheme for Alzheimer disease biomarkers
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Feldman, H. H., Frisoni, G. B., Hampel, H., Jagust, W. J., Johnson, K. A., Knopman, D. S., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002923 · Cited by 1,864
Self-citationMild 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
Self-citationLimbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report
Nelson, P. T., Dickson, D. W., Trojanowski, J. Q., Jack, C. R., Boyle, P. A., Arfanakis, K., Rademakers, R., Alafuzoff, I., Attems, J., Brayne, C., et al. (2019) · Brain · doi:10.1093/brain/awz099 · Cited by 1,547
Self-citation
Metadata
- Authors
- Jack, 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., Roberts, R. O., Rocca, W. A., Boeve, B. F., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Jack, Clifford R.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2012-04-09
- Volume
- 71
- Issue
- 6
- Pages
- 765-775
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC3586223
- OpenAlex
- W2044429455
- Cited by
- 602
- References
- 71
- Citations by year
- 2026: 14 · 2025: 23 · 2024: 21 · 2023: 28 · 2022: 29 · 2021: 40 · 2020: 33 · 2019: 40 · 2018: 44 · 2017: 60 · 2016: 80 · 2015: 65 · 2014: 63 · 2013: 51 · 2012: 10
- FWCI
- 27.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Mayo Clinic
- Mayo Foundation for Medical Education and Research
- National Institute on Aging (R01AG11378, P50‐AG16574, U01AG006786, R01AG011378, R01AG041851, P50AG016574)
- National Center for Research Resources (C06RR018898)
- 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, NIA-AA criteria, Pittsburgh compound B PET, cerebral amyloidosis, FDG-PET, hippocampal volume, neurodegeneration biomarkers, cognitively normal older adults, diagnostic classification
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Aniline Compounds, Brain, Cognition Disorders, Female, Humans, Longitudinal Studies, Male, Mental Status Schedule, Neuropsychological Tests, Thiazoles, United States, Biomarkers, Disease Progression, Fluorodeoxyglucose F18, Positron-Emission Tomography, 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
