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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
Items 101–200 of 469
Hefendehl, J. K., Wegenast‐Braun, B. M., Liebig, C., Eicke, D., Milford, D., Calhoun, M. E., Kohsaka, S., Eichner, M., & Jucker, M. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5147-10.2011 · Cited by 143
Amyloid-β–Associated Clinical Decline Occurs Only in the Presence of Elevated P-tau
Desikan, R. S., McEvoy, L. K., Thompson, W. K., Holland, D., Brewer, J. B., Aisen, P. S. S., Sperling, R. A., Dale, A. M., & Initiative, A. D. N. (2012) · Archives of Neurology · doi:10.1001/archneurol.2011.3354 · Cited by 139
Brain imaging in the study of Alzheimer's disease
Reiman, E. M., & Jagust, W. J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.075 · Cited by 139
Vascular amyloidosis impairs the gliovascular unit in a mouse model of Alzheimer’s disease
Kimbrough, I. F., Robel, S., Roberson, E. D., & Sontheimer, H. W. (2015) · Brain · doi:10.1093/brain/awv327 · Cited by 140
PET staging of amyloidosis using striatum
Hanseeuw, B. J., Betensky, R. A., Mormino, E. C., Schultz, A. P., Sepulcre, J., Becker, J. A., Jacobs, H. I. L., Buckley, R. F., LaPoint, M. R., Vannini, P., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.04.011 · Cited by 134
A high-glycemic diet is associated with cerebral amyloid burden in cognitively normal older adults
Taylor, M. K., Sullivan, D. K., Swerdlow, R. H., Vidoni, E. D., Morris, J. K., Mahnken, J. D., & Burns, J. M. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.117.162263 · Cited by 145
Self-citationNunomura, A., Tamaoki, T., Motohashi, N., Nakamura, M., McKeel, D. W., Tabaton, M., Lee, H., Smith, M. A., Perry, G. L., & Zhu, X. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e318248e614 · Cited by 134
Cerebral amyloid PET imaging in Alzheimer’s disease
Jack, C. R., Barrio, J. R., & Kepe, V. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1185-7 · Cited by 137
Amyloid imaging as a biomarker for cerebral β-amyloidosis and risk prediction for Alzheimer dementia
Klunk, W. E. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.006 · Cited by 131
Cerebrovascular disease, beta-amyloid, and cognition in aging
Marchant, N. L., Reed, B. R., DeCarli, C. S., Madison, C. M., Weiner, M. W., Chui, H. C., & Jagust, W. J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.10.001 · Cited by 127
Voxel-based meta-analysis of grey matter changes in Alzheimer’s disease
Wang, W., Yu, J., Liu, Y., Yin, R., Wang, H.-F., Wang, J., Tan, L., Raduà, J., & Tan, L. (2015) · Translational Neurodegeneration · doi:10.1186/s40035-015-0027-z · Cited by 124
Sperling, R. A., Johnson, K. A., Doraiswamy, P. M., Reiman, E. M., Fleisher, A., Sabbagh, M. N., Sadowsky, C., Carpenter, A. P., Davis, M. D., Lu, M., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.06.014 · Cited by 127
Self-citationThe aging brain and cognition: contribution of vascular injury and aβ to mild cognitive dysfunction
Marchant, N. L., Reed, B. R., Sanossian, N., Madison, C. M., Kriger, S., Dhada, R., Mack, W. J., DeCarli, C., Weiner, M. W., Mungas, D. M., et al. (2013) · JAMA Neurology · doi:10.1001/2013.jamaneurol.405 · Cited by 106
Biomarkers in Alzheimer's disease drug development
Cummings, J. L. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.06.004 · Cited by 122
Harmonized diagnostic criteria for Alzheimer's disease: recommendations
Morris, J. C., Blennow, K., Froelich, L., Nordberg, A. K., Soininen, H. S., Waldemar, G., Wahlund, L., & Dubois, B. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12199 · Cited by 122
Self-citationFörster, S., Grimmer, T., Miederer, I., Henriksen, G., Yousefi, B. H., Graner, P., Wester, H.-J., Förstl, H., Kurz, A., Dickerson, B. C., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.04.023 · Cited by 119
Identifying incipient dementia individuals using machine learning and amyloid imaging
Mathotaarachchi, S., Pascoal, T. A., Shin, M., Benedet, A. L., Kang, M. S., Beaudry, T., Fonov, V. S., Gauthier, S., & Rosa-Neto, P. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.06.027 · Cited by 118
Mild Cognitive Impairment in Older Adults
Geda, Y. E. (2012) · Current Psychiatry Reports · doi:10.1007/s11920-012-0291-x · Cited by 124
In vivo characterization of the early states of the amyloid-beta network
Sepulcre, J., Sabuncu, M. R., Becker, A., Sperling, R., & Johnson, K. A. (2013) · Brain · doi:10.1093/brain/awt146 · Cited by 117
Spatial patterns of brain amyloid- burden and atrophy rate associations in mild cognitive impairment
Tosun, D., Schuff, N. W., Mathis, C. A., Jagust, W., Weiner, M. W., & Initiative, A. D. N. (2011) · Brain · doi:10.1093/brain/awr044 · Cited by 122
Light-Induced Pupillary Responses in Alzheimer's Disease
Chougule, P. S., Najjar, R. P., Finkelstein, M. T., Kandiah, N., & Miléa, D. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00360 · Cited by 122
The therapeutics of Alzheimer's disease: Where we stand and where we are heading
Selkoe, D. J. (2013) · Annals of Neurology · doi:10.1002/ana.24001 · Cited by 116
Aβ-amyloid and Tau Imaging in Dementia
Villemagne, V. L., Doré, V., Bourgeat, P., Burnham, S. C., Laws, S., Salvado, O., Masters, C. L., & Rowe, C. C. (2017) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2016.09.006 · Cited by 110
Meyer, P. T., Hellwig, S., Amtage, F., Rottenburger, C., Sahm, U., Reuland, P., Weber, W., & Hüll, M. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.083683 · Cited by 112
Bemelmans, S. A. S. A., Tromp, K., Bunnik, E. M., Milne, R., Badger, S. J., Brayne, C., Schermer, M., & Richard, E. (2016) · Alzheimer s Research & Therapy · doi:10.1186/s13195-016-0212-z · Cited by 112
Zhang, F., Kang, Z., Li, W., Xiao, Z., & Zhou, X. (2012) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2011.12.022 · Cited by 110
Ocular Biomarkers for Early Detection of Alzheimer's Disease
Frost, S. M., Martins, R. N., & Kanagasingam, Y. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-100819 · Cited by 109
Diagnostic accuracy of CSF Ab42 and florbetapir PET for Alzheimer's disease
Mattsson, N., Insel, P. S., Landau, S. M., Jagust, W., Donohue, M., Shaw, L. M. J., Trojanowski, J. Q., Zetterberg, H., Blennow, K., Weiner, M. W., et al. (2014) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.81 · Cited by 108
Revolutionizing Alzheimer's disease and clinical trials through biomarkers
Mattsson, N., Carrillo, M. C., Dean, R. A., Devous, M. D., Nikolcheva, T., Pesini, P., Salter, H., Potter, W. Z., Sperling, R. A., Bateman, R. J., et al. (2015) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2015.09.001 · Cited by 102
Brooks, L., & Loewenstein, D. (2010) · Alzheimer s Research & Therapy · doi:10.1186/alzrt52 · Cited by 107
Relationship of dementia screening tests with biomarkers of Alzheimer's disease
Galvin, J. E., Fagan, A. M., Holtzman, D. M., Mintun, M. A., & Morris, J. C. (2010) · Brain · doi:10.1093/brain/awq204 · Cited by 103
Self-citationIn vivo assessment of amyloid‐β deposition in nondemented very elderly subjects
Mathis, C. A., Kuller, L. H., Klunk, W. E., Snitz, B. E., Price, J. C., Weissfeld, L. A., Rosario, B. L., Lopresti, B. J., Saxton, J. A., Aizenstein, H. J., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23797 · Cited by 98
Grill, J. D., Raman, R., Ernstrom, K. B., Sultzer, D. L., Burns, J. M., Donohue, M., Johnson, K. A., Aisen, P. S. S., Sperling, R. A., Karlawish, J. H., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.2734 · Cited by 101
Thung, K., Chong-yaw Wee, A., Yap, P., & Shen, D. G. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.033 · Cited by 98
Preclinical Alzheimer disease and risk of falls
Stark, S. L., Roe, C. M., Grant, E., Hollingsworth, H. H., Benzinger, T. L. S., Fagan, A. M., Buckles, V., & Morris, J. C. (2013) · Neurology · doi:10.1212/wnl.0b013e31829d8599 · Cited by 99
Self-citationBrain aerobic glycolysis functions and Alzheimer’s disease
Vlassenko, A. G., & Raichle, M. E. (2014) · Clinical and Translational Imaging · doi:10.1007/s40336-014-0094-7 · Cited by 96
Weigand, S. D., Vemuri, P., Wiste, H. J., Senjem, M. L., Pankratz, V. S., Aisen, P. S., Weiner, M. W., Petersen, R. C., Shaw, L. M., Trojanowski, J. Q., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.08.230 · Cited by 93
Association of Brain Amyloid-β With Slow Gait in Elderly Individuals Without Dementia
Nadkarni, N. K., Perera, S., Snitz, B. E., Mathis, C. A., Price, J. C., Williamson, J. D., DeKosky, S. T., Klunk, W. E., & López, O. L. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.3474 · Cited by 94
Early Detection of Amyloidopathy in Alzheimer's Mice by Hyperspectral Endoscopy
More, S. S., Beach, J. M., & Vince, R. (2016) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.15-17406 · Cited by 97
Altered Gray Matter Structural Covariance Networks in Early Stages of Alzheimer's Disease
Montembeault, M., Rouleau, I., Provost, J.-S., & Brambati, S. M. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv105 · Cited by 94
Signs and Artifacts in Amyloid PET
Lundeen, T. F., Seibyl, J. P., Covington, M. F., Eshghi, N., & Kuo, P. H. (2018) · Radiographics · doi:10.1148/rg.2018180160 · Cited by 91
Quantitative structural MRI for early detection of Alzheimer's disease
McEvoy, L. K., & Brewer, J. B. (2010) · Expert Review of Neurotherapeutics · doi:10.1586/ern.10.162 · Cited by 90
A Disease State Fingerprint for Evaluation of Alzheimer's Disease
Mattila, J., Initiative, A. F. T. A. D. N., Koikkalainen, J. R., Virkki, A., Simonsen, A. H., van Gils, M., Waldemar, G., Soininen, H. S., & Lötjönen, J. M. P. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110365 · Cited by 89
Mosconi, L., Murray, J., Davies, M., Williams, S., Pirraglia, E., Spector, N. C., Tsui, W. H., Li, Y., Butler, T., Osorio, R. S., et al. (2014) · BMJ Open · doi:10.1136/bmjopen-2014-004850 · Cited by 89
Predicting Symptom Onset in Sporadic Alzheimer Disease With Amyloid PET
Schindler, S. E., Li, Y., Buckles, V. D., Gordon, B. A., Benzinger, T. L. S., Wang, G., Coble, D., Klunk, W. E., Fagan, A. M., Holtzman, D. M., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000012775 · Cited by 89
Self-citationProtein Binding in Patients With Late-Life Depression
Kumar, A. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.122 · Cited by 86
Cognitive trajectories associated with β-amyloid deposition in the oldest-old without dementia
Snitz, B. E., Weissfeld, L. A., López, O. L., Kuller, L. H., Saxton, J. A., Singhabahu, D., Klunk, W. E., Mathis, C. A., Price, J. C., Ives, D. G., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e31828c2fc8 · Cited by 88
Cerebrospinal Fluid Biomarkers of Alzheimer's Disease
Fagan, A. M., & Holtzman, D. M. (2010) · Biomarkers in Medicine · doi:10.2217/bmm.09.83 · Cited by 88
Self-citationClinical meaningfulness of subtle cognitive decline on longitudinal testing in preclinical AD
Papp, K. V., Buckley, R. F., Mormino, E. C., Maruff, P. T., Villemagne, V. L., Masters, C. L., Johnson, K. A., Rentz, D. M., Sperling, R. A., Amariglio, R. E., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.09.074 · Cited by 85
Cognitive Impairment Precedes and Predicts Functional Impairment in Mild Alzheimer’s Disease
Liu‐Seifert, H., Initiative, T. A. D. N., Siemers, E., Price, K., Han, B., Selzler, K. J., Henley, D. B., Sundell, K. L., Aisen, P. S. S., Cummings, J. L., et al. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142508 · Cited by 90
Krell‐Roesch, J., Lowe, V. J., Neureiter, J., Pink, A., Roberts, R. O., Mielke, M. M., Vemuri, P., Stokin, G. B., Christianson, T. J. H., Jack, C. R., et al. (2017) · International Psychogeriatrics · doi:10.1017/s1041610217002368 · Cited by 81
Safety of disclosing amyloid status in cognitively normal older adults
Burns, J. M., Johnson, D. K., Liebmann, E. P., Bothwell, R. J., Morris, J. K., & Vidoni, E. D. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2017.01.022 · Cited by 80
Self-citationLaforce, R., & Rabinovici, G. D. (2011) · Alzheimer's Research & Therapy · doi:10.1186/alzrt93 · Cited by 79
Prevention trials in Alzheimer's disease: An EU-US task force report
Vellas, B. J., Aisen, P. S. S., Sampaio, C., Carrillo, M. C., Scheltens, P., Scherrer, B., Frisoni, G. B., Weiner, M. W., Schneider, L. S. S., Gauthier, S. G., et al. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.08.014 · Cited by 78
Preclinical Alzheimer's disease: A systematic review of the cohorts underlying the concept
Epelbaum, S., Genthon, R., Cavedo, E., Habert, M. O., Lamari, F., Gagliardi, G. P., Lista, S., Teichmann, M., Bakardjian, H., Hampel, H. J., et al. (2017) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2016.12.003 · Cited by 82
Schindler, S. E., Jasielec, M. S., Weng, H., Hassenstab, J. J., Grober, E. H., McCue, L. M., Morris, J. C., Holtzman, D. M., Xiong, C., & Fagan, A. M. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.004 · Cited by 77
Self-citationPET imaging with [18F]AV-45 in an APP/PS1-21 murine model of amyloid plaque deposition
Poisnel, G., Dhilly, M., Moustié, O., Delamare, J., Abbas, A., Guilloteau, D., & Barré, L. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.12.024 · Cited by 79
Association Between Childhood-Onset Epilepsy and Amyloid Burden 5 Decades Later
Joutsa, J., Rinne, J. O., Hermann, B. P., Karrasch, M., Anttinen, A., Shinnar, S., & Sillanpää, M. L. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.6091 · Cited by 79
Beach, T. G., Sue, L. I., Walker, D. G., Sabbagh, M. N., Serrano, G., Dugger, B. N., Mariner, M., Yantos, K., Henry-Watson, J., Chiarolanza, G., et al. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-111340 · Cited by 74
Qiao, Y., Chi, Y., Zhang, Q., & Ma, Y. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1169499 · Cited by 78
Peripheral Blood Mononuclear Cells as a Laboratory to Study Dementia in the Elderly
Arosio, B., D’Addario, C., Gussago, C., Casati, M., Tedone, E., Ferri, E., Nicolini, P., Rossi, P. D., Maccarrone, M., & Mari, D. (2014) · BioMed Research International · doi:10.1155/2014/169203 · Cited by 73
Cerebral Serotonin 4 Receptors and Amyloid-β in Early Alzheimer's Disease
Madsen, K., Neumann, W., Holst, K. K., Marner, L., Haahr, M. E., Lehel, S., Knudsen, G. M., & Hasselbalch, S. G. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110056 · Cited by 74
Preclinical AD Workgroup staging: Pathological correlates and potential challenges
Jicha, G. A., Abner, E. L., Schmitt, F. A., Kryscio, R. J., Riley, K. P., Cooper, G. E., Stiles, N., Mendiondo, M. S., Smith, C. D., Van Eldik, L. J., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.02.018 · Cited by 71
(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 73
Enrichment and Stratification for Predementia Alzheimer Disease Clinical Trials
Holland, D., McEvoy, L. K., Desikan, R. S., Dale, A. M., & Initiative, A. D. N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047739 · Cited by 71
Derivation of a New ADAS-cog Composite Using Tree-based Multivariate Analysis
Llano, D. A., Laforet, G. A., & Devanarayan, V. (2010) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181f5b8d8 · Cited by 70
Deficits in Spontaneous Cognition as an Early Marker of Alzheimer’s Disease
Kvavilashvili, L., Niedźwieńska, A., Gilbert, S. J., & Markostamou, I. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.005 · Cited by 74
The Role of P2X7 Receptor in Alzheimer’s Disease
Francistiová, L., Bianchi, C., Lauro, C. D., Sebastián‐Serrano, Á., de Diego-García, L., Kobolák, J., Dinnyés, A., & Díaz-Hernández, M. (2020) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2020.00094 · Cited by 73
Wu, G., Sankaranarayanan, S., Wong, J., Tugusheva, K., Michener, M. S., Shi, X., Cook, J. J., Simon, A. J., & Savage, M. J. (2012) · Journal of Neuroscience Research · doi:10.1002/jnr.23122 · Cited by 68
Zhao, Y., Raichle, M. E., Wen, J., Benzinger, T. L. S., Fagan, A. M., Hassenstab, J. J., Vlassenko, A. G., Luo, J., Cairns, N. J., Christensen, J. J., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.026 · Cited by 69
Self-citationWirth, M., Oh, H., Mormino, E. C., Markley, C., Landau, S. M., & Jagust, W. J. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.10.012 · Cited by 70
Lehallier, B., Essioux, L., Gayán, J., Alexandridis, R. A., Nikolcheva, T., Wyss‐Coray, T., Britschgi, M., & Initiative, A. D. N. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.3135 · Cited by 69
Lack of association between prior depressive episodes and cerebral [11C]PiB binding
Madsen, K., Hasselbalch, B. J., Frederiksen, K. S., Haahr, M. E., Gade, A., Law, I., Price, J. C., Knudsen, G. M., Kessing, L. V., & Hasselbalch, S. G. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.11.021 · Cited by 66
Target-Specific PET Probes for Neurodegenerative Disorders Related to Dementia
Kadir, A., & Nordberg, A. K. (2010) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.077164 · Cited by 64
Amyloid imaging: Past, present and future perspectives
Villemagne, V. L. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.01.005 · Cited by 68
Long-term effects of amyloid, hypometabolism, and atrophy on neuropsychological functions
Ossenkoppele, R., van der Flier, W. M., Verfaillie, S. C. J., Vrenken, H., Versteeg, A., van Schijndel, R. A., Sikkes, S. A. M., Twisk, J. W. R., Adriaanse, S. M., Zwan, M. D., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000432 · Cited by 63
Cardiorespiratory Fitness Attenuates the Influence of Amyloid on Cognition
Schultz, S. A., Boots, E. A., Almeida, R. P., Oh, J. M., Einerson, J. A., Korcarz, C. E., Edwards, D. F., Koscik, R. L., Dowling, N. M., Gallagher, C. L., et al. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000843 · Cited by 65
Widespread distribution of tauopathy in preclinical Alzheimer's disease
Schultz, S. A., Gordon, B. A., Mishra, S., Su, Y., Perrin, R. J., Cairns, N. J., Morris, J. C., Ances, B. M., & Benzinger, T. L. S. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.022 · Cited by 65
Self-citationMallik, A. K., Drzezga, A. E., & Minoshima, S. (2016) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2016.09.005 · Cited by 64
Amyloid Imaging with PET in Early Alzheimer Disease Diagnosis
Rowe, C. C., & Villemagne, V. L. (2013) · Medical Clinics of North America · doi:10.1016/j.mcna.2012.12.017 · Cited by 62
Amyloid imaging, Risk Disclosure and Alzheimer’s Disease: Ethical and Practical Issues
Roberts, J. S., Dunn, L. B., & Rabinovici, G. D. (2013) · Neurodegenerative Disease Management · doi:10.2217/nmt.13.25 · Cited by 64
Bort, G., Catoen, S., Borderies, H., Kebsi, A., Ballet, S., Louin, G., Port, M., & Ferroud, C. (2014) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2014.10.016 · Cited by 62
Secondary prevention of Alzheimer’s dementia: neuroimaging contributions
ten Kate, M., Ingala, S., Schwarz, A. J., Fox, N. C., Chételat, G., van Berckel, B. N. M., Ewers, M., Foley, C., Gispert, J. D., Hill, D., et al. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0438-z · Cited by 65
Amyloid-driven disruption of default mode network connectivity in cognitively healthy individuals
Ingala, S., Tomassen, J., Collij, L. E., Prent, N., Ent, D. V. ‘., ten Kate, M., Konijnenberg, E., Yaqub, M. M., Scheltens, P., de Geus, E. J. C., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab201 · Cited by 65
In vitro characterization of [18F]-florbetaben, an Aβ imaging radiotracer
Fodero‐Tavoletti, M. T., Brockschnieder, D., Villemagne, V. L., Martin, L., Connor, A. R., Thiele, A., Berndt, M., McLean, C., Krause, S., Rowe, C. C., et al. (2012) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2012.03.001 · Cited by 61
Grill, J. D., Di, L., Lu, P. H., Lee, C., Ringman, J., Apostolova, L. G., Chow, N., Kohannim, O., Cummings, J. L., Thompson, P. M., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.03.006 · Cited by 58
Bapineuzumab: Anti-β-Amyloid Monoclonal Antibodies for the Treatment of Alzheimer‘s Disease
Panza, F., Frisardi, V., Imbimbo, B. P., D’Onofrio, G., Pietrarossa, G., Seripa, D., Pilotto, A., & Solfrizzi, V. (2010) · Immunotherapy · doi:10.2217/imt.10.80 · Cited by 59
Neuroimaging Measures as Endophenotypes in Alzheimer′s Disease
Braskie, M. N., Ringman, J. M., & Thompson, P. M. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/490140 · Cited by 62
Nordberg, A. K. (2011) · Alzheimer s Research & Therapy · doi:10.1186/alzrt96 · Cited by 58
Machulda, M. M., Hagen, C. E., Wiste, H. J., Mielke, M. M., Knopman, D. S., Roberts, R. O., Vemuri, P., Lowe, V. J., Jack, C. R., & Petersen, R. C. (2016) · The Clinical Neuropsychologist · doi:10.1080/13854046.2016.1241303 · Cited by 63
Amyloid, neurodegeneration, and small vessel disease as predictors of dementia in the oldest-old
López, O. L., Klunk, W. E., Mathis, C. A., Coleman, R., 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
Clark, L. R., Koscik, R. L., Allison, S. L., Berman, S. E., Norton, D., Carlsson, C. M., Betthauser, T. J., Bendlin, B. B., Christian, B. T., Chin, N. A., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.09.008 · Cited by 57
Morinaga, A., Ono, K., Ikeda, T., Ikeda, Y., Shima, K., Noguchi‐Shinohara, M., Samuraki, M., Yanase, D., Yoshita, M., Iwasa, K., et al. (2010) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000320265 · Cited by 56
Gómez-Arboledas, Á., Carvalho, K., Balderrama-Gutierrez, G., Chu, S., Liang, H. Y., Schartz, N. D., Selvan, P., Petrisko, T. J., Pan, M. A., Mortazavi, A., et al. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01416-6 · Cited by 57
Lazarczyk, M. J., Hof, P. R., Bouras, C., & Giannakopoulos, P. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-127 · Cited by 55
Bussy, A., Snider, B. J., Coble, D. W., Xiong, C., Fagan, A. M., Cruchaga, C., Benzinger, T. L. S., Gordon, B. A., Hassenstab, J. J., Bateman, R. J., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.011 · Cited by 57
Self-citationBubu, O. M., Umasabor‐Bubu, O. Q., Turner, A. D., Parekh, A., Mullins, A. E., Kam, K., Birckbichler, M. K., Mukhtar, F., Mbah, A. K., Williams, N. J., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12184 · Cited by 57
[11C]PIB, [18F]FDG and MR imaging in patients with mild cognitive impairment
Brück, A., Virta, J. R., Koivunen, J., Koikkalainen, J. R., Scheinin, N. M., Helenius, H. Y. M., Någren, K., Helin, S., Parkkola, R. K., Viitanen, M. H., et al. (2013) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-013-2478-8 · Cited by 55
Grill, J. D., Zhou, Y. F., Elashoff, D. A., & Karlawish, J. H. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.11.007 · Cited by 53
FDG- and amyloid-PET in Alzheimer's disease: is the whole greater than the sum of the parts?
Mosconi, L., & McHugh, P. F. (2011) · PubMed · Cited by 54
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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