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Pittsburgh Compound B Imaging and Prediction of Progression From Cognitive Normality to Symptomatic Alzheimer Disease
Open accessAbstract
OBJECTIVE: To determine whether preclinical Alzheimer disease (AD), as detected by the amyloid-imaging agent Pittsburgh Compound B (PiB) in cognitively normal older adults, is associated with risk of symptomatic AD. DESIGN: A longitudinal cohort study of cognitively normal older adults assessed with positron emission tomography (PET) to determine the mean cortical binding potential for PiB and followed up with annual clinical and cognitive assessments for progression to very mild dementia of the Alzheimer type (DAT). SETTING: The Alzheimer's Disease Research Center, Washington University, St Louis, Missouri. PARTICIPANTS: One hundred fifty-nine participants with a mean age of 71.5 years with a Clinical Dementia Rating (CDR) of 0 on a PET PiB scan at baseline. MAIN OUTCOME MEASURE: Progression from CDR 0 to CDR 0.5 status (very mild dementia). RESULTS: Twenty-three participants progressed to CDR 0.5 at follow-up assessment (range, 1-5 assessments after PET PiB). Of these, 9 also were diagnosed with DAT. Higher mean cortical binding potential values for PiB (hazard ratio, 4.85; 95% confidence interval, 1.22-19.01; P = .02) and age (hazard ratio, 1.14; 95% confidence interval, 1.02-1.28; P = .03) predicted progression to CDR 0.5 DAT. The CDR 0.5 DAT group showed decline in 3 cognitive domains (episodic memory, semantic memory, and visuospatial performance) and had volume loss in the parahippocampal gyrus (includes entorhinal cortex) compared with individuals who remained at CDR 0. CONCLUSION: Preclinical AD as detected by PET PiB is not benign, as it is associated with progression to symptomatic AD.
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“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 [74]
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Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
The 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
Self-citationTalairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
Manual for the Wechsler Adult Intelligence Scale.
Wechsler, D. (1955) · Psychological Corp. eBooks · Cited by 4,941
Imaging 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
Mild Cognitive Impairment Represents Early-Stage Alzheimer Disease
Morris, J. C., Storandt, M., Miller, J. P., McKeel, D. W., Price, J. L., Rubin, E. H., & Berg, L. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.397 · Cited by 1,871
Self-citationHansson, O., Zetterberg, H., Buchhave, P., Londos, E., Blennow, K., & Minthon, L. (2006) · The Lancet Neurology · doi:10.1016/s1474-4422(06)70355-6 · Cited by 1,700
Distribution Volume Ratios without Blood Sampling from Graphical Analysis of PET Data
Logan, J., Fowler, J. S., Volkow, N. D., Wang, G., Ding, Y., & Alexoff, D. L. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199609000-00008 · Cited by 1,515
Cited by
Sorted by citations
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-citationAdvancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321
Alzheimer Disease: An Update on Pathobiology and Treatment Strategies
Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204
Self-citationRevising the definition of Alzheimer's disease: a new lexicon
Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869
Masters, C. L., Bateman, R., Blennow, K., Rowe, C. C., Sperling, R. A., & Cummings, J. L. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.56 · Cited by 1,853
Alzheimer Mechanisms and Therapeutic Strategies
Huang, Y., & Mucke, L. (2012) · Cell · doi:10.1016/j.cell.2012.02.040 · Cited by 1,758
Alzheimer’s Disease Neuroimaging Initiative
Mueller, S. G., Weiner, M. W., Thal, L. J., Petersen, R. C., Jack, C. R., Jagust, W. J., Trojanowski, J. Q., Toga, A. W., & Beckett, L. A. (2007) · Springer eBooks · doi:10.1007/978-0-387-72076-0_18 · Cited by 1,493
Alzheimer’s Disease: The Challenge of the Second Century
Holtzman, D. M., Morris, J. C., & Goate, A. M. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002369 · Cited by 1,424
Self-citationUse of Florbetapir-PET for Imaging β-Amyloid Pathology
Clark, C. M. (2011) · JAMA · doi:10.1001/jama.2010.2008 · Cited by 1,117
Spangenberg, E., Severson, P. L., Hohsfield, L. A., Crapser, J., Zhang, J., Burton, E. A., Zhang, Y., Spevak, W., Lin, J., Phan, N. Y., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11674-z · Cited by 939
High-precision plasma β-amyloid 42/40 predicts current and future brain amyloidosis
Schindler, S. E., Bollinger, J. G., Ovod, V., Mawuenyega, K. G., Li, Y., Gordon, B. A., Holtzman, D. M., Morris, J. C., Benzinger, T. L. S., Xiong, C., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000008081 · Cited by 885
Self-citationThe Preclinical Alzheimer Cognitive Composite: Measuring Amyloid-Related Decline
Donohue, M. C., Sperling, R. A., Salmon, D. P., Rentz, D. M., Raman, R., Thomas, R. G., Weiner, M., & Aisen, P. S. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.803 · Cited by 860
Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Carrillo, M. C., Hartley, D. M., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.01.002 · Cited by 603
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., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602
Peripherally Applied Aβ-Containing Inoculates Induce Cerebral β-Amyloidosis
Eisele, Y. S., Obermüller, U., Heilbronner, G., Baumann, F., Kaeser, S. A., Wolburg, H., Walker, L. C., Staufenbiel, M., Heikenwalder, M., & Jucker, M. (2010) · Science · doi:10.1126/science.1194516 · Cited by 568
The Alzheimer’s Disease Mitochondrial Cascade Hypothesis
Swerdlow, R. H., Burns, J. M., & Khan, S. M. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100339 · Cited by 562
“Some propose such individuals have very early AD in which detectable dementia has not yet manifested [35,36].”
BackgroundCastellani, R. J., Rolston, R. K., & Smith, M. A. (2010) · Disease-a-Month · doi:10.1016/j.disamonth.2010.06.001 · Cited by 596
Testing the Right Target and Right Drug at the Right Stage
Sperling, R. A., Jack, C. R., & Aisen, P. S. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002609 · Cited by 550
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
Inconsistencies and Controversies Surrounding the Amyloid Hypothesis of Alzheimer's Disease
Morris, G. P., Clark, I. A., & Vissel, B. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0135-5 · Cited by 522
Resting state functional connectivity in preclinical Alzheimer’s disease
Sheline, Y. I., & Raichle, M. E. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.11.028 · Cited by 509
Sultana, R., Perluigi, M., & Butterfield, D. A. (2013) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2012.09.027 · Cited by 478
Probing the biology of Alzheimer’s disease in mice
Ashe, K. H., & Zahs, K. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.031 · Cited by 413
Jucker, M. (2010) · Nature Medicine · doi:10.1038/nm.2224 · Cited by 401
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
Drzezga, A. E., Becker, J. A., Dijk, K. R. A. V., Sreenivasan, A., Talukdar, T., Sullivan, C., Schultz, A. P., Sepulcre, J., Putcha, D., Greve, D. N., et al. (2011) · Brain · doi:10.1093/brain/awr066 · Cited by 385
Amyloid Imaging with18F-Florbetaben in Alzheimer Disease and Other Dementias
Villemagne, V. L., Ong, K. T., Mulligan, R. S., Holl, G., Pejoska, S., Jones, G. R., O'Keefe, G. J., Ackerman, U., Tochon‐Danguy, H., Chan, J. G., et al. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.111.089730 · Cited by 378
Cirrito, J. R., Disabato, B. M., Restivo, J. L., Verges, D. K., Goebel, W. D., Sathyan, A., Hayreh, D., D'Angelo, G., Benzinger, T., Yoon, H., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1107411108 · Cited by 377
Self-citationGut microbiome composition may be an indicator of preclinical Alzheimer’s disease
Ferreiro, A. L., Choi, J., Ryou, J., Newcomer, E. P., Thompson, R., Bollinger, R. M., Hall-Moore, C. M., Ndao, I. M., Sax, L., Benzinger, T. L. S., et al. (2023) · Science Translational Medicine · doi:10.1126/scitranslmed.abo2984 · Cited by 384
Self-citationFagan, 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
Self-citationChételat, G., Joie, R. L., Villain, N., Perrotin, A., Sayette, V. D. L., Eustache, F., & Vandenberghe, R. R. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.02.006 · Cited by 363
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
Mormino, E. C., Smiljic, A., Hayenga, A. O., Onami, S. H., Greicius, M. D., Rabinovici, G. D., Janabi, M., Baker, S. L., Yen, I. V., Madison, C. M., et al. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr025 · Cited by 344
Johnson, K. A., Minoshima, S., Bohnen, N. I., Donohoe, K. J., Foster, N. L., Herscovitch, P., Karlawish, J. H., Rowe, C. C., Carrillo, M. C., Hartley, D. M., et al. (2013) · Journal of Nuclear Medicine · doi:10.2967/jnumed.113.120618 · Cited by 329
The future of blood‐based biomarkers for Alzheimer's disease
Henriksen, K., O’Bryant, S. E., Hampel, H. J., Trojanowski, J. Q., Montine, T. J., Jeromin, A., Blennow, K., Lönneborg, A., Wyss‐Coray, T., Soares, H. D., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.01.013 · Cited by 327
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
“Studies of non-demented elderly cohorts overall report approximately 20–40% are PIB-positive [67, 68, 71–78].”
BackgroundRetinal 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
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
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
Structural Imaging Measures of Brain Aging
Lockhart, S. N., & DeCarli, C. S. (2014) · Neuropsychology Review · doi:10.1007/s11065-014-9268-3 · Cited by 301
Head (2012) · doi:10.1001/archneurol.2011.845 · Cited by 267
Face-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
Multimodal imaging in Alzheimer's disease: validity and usefulness for early detection
Teipel, S. J., Drzezga, A. E., Grothe, M. J., Barthel, H., Chételat, G., Schuff, N. W., Skudlarski, P., Cavedo, E., Frisoni, G. B., Hoffmann, W. U., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00093-9 · Cited by 285
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
Structural MRI changes detectable up to ten years before clinical Alzheimer's disease
Tondelli, M., Wilcock, G. K., Nichelli, P., de Jager, C. A., Jenkinson, M., & Zamboni, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.05.018 · Cited by 265
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
Quantitative Analysis of PiB-PET with FreeSurfer ROIs
Su, Y., D'Angelo, G. M., Vlassenko, A. G., Zhou, G., Snyder, A. Z., Marcus, D. S., Blazey, T. M., Christensen, J. J., Vora, S., Morris, J. C., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073377 · Cited by 246
“Ab deposition in asymptomatic individuals may represent a preclinical biomarker of AD [10,11].”
BackgroundMethodSelf-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
Clinical amyloid imaging in Alzheimer's disease
Herholz, K., & Ebmeier, K. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70123-5 · Cited by 240
Bakkour, A., Morris, J. C., Wolk, D. A., & Dickerson, B. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.059 · Cited by 251
Self-citationMultimodality Review of Amyloid-related Diseases of the Central Nervous System
Miller‐Thomas, M. M., Sipe, A. L., Benzinger, T. L. S., McConathy, J., Connolly, S., & Schwetye, K. E. (2016) · Radiographics · doi:10.1148/rg.2016150172 · Cited by 235
Apolipoprotein E and Alzheimer’s disease: Findings, hypotheses, and potential mechanisms
Koutsodendris, N., Nelson, M. R., Rao, A., & Huang, Y. (2022) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-030421-112756 · Cited by 231
Pharmacotherapies for Alzheimer's disease: Beyond cholinesterase inhibitors
Tayeb, H. O., Yang, H. D., Price, B. H., & Tarazi, F. I. (2011) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2011.12.002 · Cited by 237
Amyloid-β assessed by florbetapir F 18 PET and 18-month cognitive decline
Doraiswamy, P. M., Sperling, R. A., Coleman, R. E., Johnson, K. A., Reiman, E. M., Davis, M. D., Grundman, M., Sabbagh, M. N., Sadowsky, C., Fleisher, A., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182661f74 · Cited by 235
Self-citationImmunotherapy for Alzheimer’s disease: Key Symposium: Immunotherapy for Alzheimer’s disease
Morgan, D. (2011) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02315.x · Cited by 225
Amyloid imaging and CSF biomarkers in predicting cognitive impairment up to 7.5 years later
Roe, C. M., Fagan, A. M., Grant, E. A., Hassenstab, J., Moulder, K. L., Maue Dreyfus, D., Sutphen, C. L., Benzinger, T. L. S., Mintun, M. A., Holtzman, D. M., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e3182918ca6 · Cited by 222
Self-citationRowe, C. C., Bourgeat, P., Ellis, K. A., Brown, B., Lim, Y. Y., Mulligan, R., Jones, G., Maruff, P., Woodward, M., Price, R., et al. (2013) · Annals of Neurology · doi:10.1002/ana.24040 · Cited by 222
Evidence for Ordering of Alzheimer Disease Biomarkers
Jack, C. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.183 · Cited by 225
Mielke, M. M., Okonkwo, O. C., Oishi, K., Mori, S., Tighe, S. K., Miller, M. I., Ceritoglu, C., Brown, T., Albert, M., & Lyketsos, C. G. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.05.2416 · Cited by 220
Morris, J. C., Aisen, P. S. S., Bateman, R. J., Benzinger, T. L. S., Cairns, N. J., Fagan, A. M., Ghetti, B. F., Goate, A., Holtzman, D. M., Klunk, W. E., et al. (2012) · Clinical Investigation · doi:10.4155/cli.12.93 · Cited by 211
Self-citationCairns, N. J., Ikonomović, M. D., Benzinger, T. L. S., Storandt, M., Fagan, A. M., Shah, A. R., Taylor‐Reinwald, L., Carter, D. R., Felton, A., Holtzman, D. M., et al. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.279 · Cited by 205
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 206
Amyloid-first and neurodegeneration-first profiles characterize incident amyloid PET positivity
Jack, C. R., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Vemuri, P., Mielke, M. M., Jones, D. T., Senjem, M. L., Gunter, J. L., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000435556.21319.e4 · Cited by 203
van Harten, A. C., Visser, P. J., Pijnenburg, Y. A. L., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., & van der Flier, W. M. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.08.004 · Cited by 197
Rentz, D. M., Parra, M. A., Amariglio, R. E., Stern, Y., Sperling, R. A., & Ferris, S. H. (2013) · Alzheimer s Research & Therapy · doi:10.1186/alzrt222 · Cited by 212
Florbetapir F 18 amyloid PET and 36-month cognitive decline:a prospective multicenter study
AV45-A11 Study Group, Doraiswamy, P. M., Sperling, R. A., Johnson, K., Reiman, E. M., Wong, T. Z., Sabbagh, M. N., Sadowsky, C. H., Fleisher, A. S., Carpenter, A., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.9 · Cited by 195
Self-citationImpact of molecular imaging on the diagnostic process in a memory clinic
Ossenkoppele, R., Prins, N. D., Pijnenburg, Y. A. L., Lemstra, A. W., van der Flier, W. M., Adriaanse, S. F., Windhorst, A. D., Handels, R. L. H., Wolfs, C. A. G., Aalten, P., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.07.003 · Cited by 194
Amyloid-Dependent and Amyloid-Independent Stages of Alzheimer Disease
Hyman, B. T. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.70 · Cited by 194
ATN classification and clinical progression in subjective cognitive decline: The SCIENCe project
Ebenau, J. L., Timmers, T., Wesselman, L. M. P., Verberk, I. M. W., Verfaillie, S. C. J., Slot, R. E. R., van Harten, A. C., Teunissen, C. E., Barkhof, F., van den Bosch, K. A., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009724 · Cited by 191
Alzheimer's Disease: Redox Dysregulation As a Common Denominator for Diverse Pathogenic Mechanisms
Rommy von Bernhardi, M., & Eugenín, J. L. (2011) · Antioxidants and Redox Signaling · doi:10.1089/ars.2011.4082 · Cited by 193
Doré, V., Villemagne, V. L., Bourgeat, P., Fripp, J., Acosta, O., Chételat, G., Zhou, L., Martins, R. N., Ellis, K. A., Masters, C. L., et al. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.1062 · Cited by 190
Quantitative EEG power and synchronization correlate with Alzheimer's disease CSF biomarkers
Smailovic, U., Koenig, T., Kåreholt, I., Andersson, T., Kramberger, M. G., Winblad, B., & Jelic, V. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.11.005 · Cited by 177
Morris, J. C. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.3152 · Cited by 180
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Metadata
- Authors
- Morris, J. C., Roe, C. M., Grant, E. A., Head, D., Storandt, M., Goate, A. M., Fagan, A. M., Holtzman, D. M., & Mintun, M. A.
- Affiliations
- Washington University in St. Louis (US)
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2009-12-01
- Volume
- 66
- Issue
- 12
- Pages
- 1469-75
- ISSN
- 0003-9942 (ISSN-L)
- PMC
- PMC2798814
- OpenAlex
- W2031489026
- Cited by
- 476
- References
- 57
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 4 · 2023: 14 · 2022: 10 · 2021: 15 · 2020: 46 · 2019: 13 · 2018: 17 · 2017: 24 · 2016: 22 · 2015: 24 · 2014: 43 · 2013: 58 · 2012: 50
- FWCI
- 35.46
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000448)
- National Institute on Aging (P 50 AG05681, P50AG005681, P01 AG0 3991, P01AG003991, P01AG026276)
- National Center for Research Resources (UL1RR024992)
- National Center for Advancing Translational Sciences
- 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, Pittsburgh compound B, amyloid PET, conversion to dementia, very mild dementia, cognitively normal older adults, Clinical Dementia Rating, episodic memory decline, visuospatial performance, entorhinal cortex, risk prediction
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Aniline Compounds, Carbon Radioisotopes, Cognition, Cognition Disorders, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Middle Aged, Predictive Value of Tests, Thiazoles, Cohort Studies, Disease Progression, Positron-Emission Tomography
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