Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease
Open accessAbstract
The recent development of tau-specific positron emission tomography (PET) tracers enables in vivo quantification of regional tau pathology, one of the key lesions in Alzheimer's disease (AD). Tau PET imaging may become a useful biomarker for clinical diagnosis and tracking of disease progression but there is no consensus yet on how tau PET signal is best quantified. The goal of the current study was to evaluate multiple whole-brain and region-specific approaches to detect clinically relevant tau PET signal. Two independent cohorts of cognitively normal adults and amyloid-positive (Aβ+) patients with mild cognitive impairment (MCI) or AD-dementia underwent [18 F]AV-1451 PET. Methods for tau tracer quantification included: (i) in vivo Braak staging, (ii) regional uptake in Braak composite regions, (iii) several whole-brain measures of tracer uptake, (iv) regional uptake in AD-vulnerable voxels, and (v) uptake in a priori defined regions. Receiver operating curves characterized accuracy in distinguishing Aβ- controls from AD/MCI patients and yielded tau positivity cutoffs. Clinical relevance of tau PET measures was assessed by regressions against cognition and MR imaging measures. Key tracer uptake patterns were identified by a factor analysis and voxel-wise contrasts. Braak staging, global and region-specific tau measures yielded similar diagnostic accuracies, which differed between cohorts. While all tau measures were related to amyloid and global cognition, memory and hippocampal/entorhinal volume/thickness were associated with regional tracer retention in the medial temporal lobe. Key regions of tau accumulation included medial temporal and inferior/middle temporal regions, retrosplenial cortex, and banks of the superior temporal sulcus. Our data indicate that whole-brain tau PET measures might be adequate biomarkers to detect AD-related tau pathology. However, regional measures covering AD-vulnerable regions may increase sensitivity to early tau PET signal, atrophy and memory decline.
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The cross-sectional association between regional tau PET and global Aβ PET is well-characterized.
“we examined the influence of sex to modify the well-characterized cross-sectional association between regional tau PET and global Aβ PET.14–16”
From Sex Differences in the Association of Global Amyloid and Regional Tau Deposition Measured by Positron Emission Tomography in Clinically Normal Older Adults (2019) · cites this paper as [16]
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Cites
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · 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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 8× · see citing works
“An alternative to a binary classification, previously examined in our lab (Schöll et al., 2016), is a multi-stage approach as proposed by Braak and Braak that is based on the topographic pattern of NFT pathology.”
BackgroundMethodInfluentialAlbert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 2× · see citing works
“Patients met National Institute on Aging–Alzheimer's Association (NIA-AA) criteria for MCI due to AD (n =12; Albert et al., 2011) or probable AD dementia (n = 48; McKhann et al., 2011).”
MethodSelf-citationAlzheimer's Disease Neuroimaging Initiative (ADNI)
Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572 · see citing works
Self-citationPET Imaging of Tau Deposition in the Aging Human Brain
Schöll, M., Lockhart, S. N., Schonhaut, D. R., O’Neil, J. P., Janabi, M., Ossenkoppele, R., Baker, S. L., Vogel, J. W., Faria, J., Schwimmer, H. D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.028 · Cited by 1,214 · see citing works
Self-citationTau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease
Brier, M. R., Gordon, B., Friedrichsen, K., McCarthy, J., Stern, A., Christensen, J., Owen, C., Aldea, P., Su, Y., Hassenstab, J., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf2362 · Cited by 734 · see citing works
Early clinical PET imaging results with the novel PHF-tau radioligand [F-18]-T807
Chien, D. T., Bahri, S., Szardenings, A. K., Walsh, J. C., Mu, F., Su, M.-Y., Shankle, W. R., Elizarov, A., & Kolb, H. C. (2013) · Journal of Alzheimer's Disease · doi:10.3233/jad-122059 · Cited by 651 · cited 1× · see citing works
“MARK filament tau in AD patients (Chien et al., 2013; Lowe et al., 2016; Marquié et al., 2015).”
BackgroundTau imaging: early progress and future directions
Villemagne, V. L., Fodero-Tavoletti, M. T., Masters, C. L., & Rowe, C. C. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70252-2 · Cited by 501 · see citing works
In vivo cortical spreading pattern of tau and amyloid in the Alzheimer disease spectrum
Cho, H., Choi, J. Y., Hwang, M. S., Kim, Y. J., Lee, H. M., Lee, H. S., Lee, J. H., Ryu, Y. H., Lee, M. S., & Lyoo, C. H. (2016) · Annals of Neurology · doi:10.1002/ana.24711 · Cited by 499 · see citing works
Ossenkoppele, R., Cohn‐Sheehy, B. I., La Joie, R., Vogel, J. W., Möller, C., Lehmann, M., van Berckel, B. N. M., Seeley, W. W., Pijnenburg, Y. A., Gorno‐Tempini, M. L., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22927 · Cited by 243 · cited 2× · see citing works
“Data for BACS participants were collected at 1.5 T at Lawrence Berkeley National Laboratory (LBNL) (see Schöll et al., 2016 for details); MCI/AD patients underwent 3 T MRI at the UCSF Neuroimaging Center (Ossenkoppele et al., 2015).”
BackgroundMethodInfluentialSelf-citationMormino, E. C., Brandel, M. G., Madison, C. M., Rabinovici, G. D., Marks, S., Baker, S. L., & Jagust, W. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.098 · Cited by 158 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 39
- Aisen PS Petersen RC Donohue MC Gamst A Raman R Thomas RG Walter S Trojanowski JQ Shaw LM Beckett LA 2010 Clinical core of the Alzheimer's disease neuroimaging initiative: progress and plans Alzheimers Dement J Alzheimers Assoc 6 239 246 PMC2867843 20451872
- Baker SL Maass A Jagust WJ Considerations for Partial Volume Correcting [18F]-AV-1451 data. Data in Brief submitted for publication PMC5671473 29124088
- Baker SL Lockhart SN Price JC He M Huesman RH Schonhaut D Faria J Rabinovici G Jagust WJ 2016 Reference tissue-based kinetic evaluation of 18F-AV-1451 in aging and dementia J Nucl Med Off Publ Soc Nucl Med PMC5288744 27587706
- Braak H Braak E 1997 Frequency of stages of Alzheimer-related lesions in different age categories Neurobiol Aging 18 351 357 9330961
- Chen K Ayutyanont N Langbaum JBS Fleisher AS Reschke C Lee W Liu X Bandy D Alexander GE Thompson PM 2011 Characterizing Alzheimer's disease using a hypometabolic convergence index NeuroImage 56 52 60 21276856 PMC3066300
- Cho H Choi JY Hwang MS Lee JH Kim YJ Lee HM Lyoo CH Ryu YH Lee MS 2016b Tau PET in Alzheimer disease and mild cognitive impairment Neurology 87 375 383 27358341
- Crary JF Trojanowski JQ Schneider JA Abisambra JF Abner EL Alafuzoff I Arnold SE Attems J Beach TG Bigio EH 2014 Primary age-related tauopathy (PART): a common pathology associated with human aging Acta Neuropathol (Berl) 128 755 766 25348064 PMC4257842
- Dani M Brooks DJ Edison P 2016 Tau imaging in neurodegenerative diseases Eur J Nucl Med Mol Imaging 43 1139 1150 26572762 PMC4844651
- Delacourte A David JP Sergeant N Buée L Wattez A Vermersch P Ghozali F Fallet-Bianco C Pasquier F Lebert F 1999 The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer's disease Neurology 52 1158 1165 10214737
- Desikan RS Cabral HJ Hess CP Dillon WP Glastonbury CM Weiner MW Schmansky NJ Greve DN Salat DH Buckner RL 2009 Automated MRI measures identify individuals with mild cognitive impairment and Alzheimer's disease Brain J Neurol 132 2048 2057 PMC2714061 19460794
- Dickerson BC Bakkour A Salat DH Feczko E Pacheco J Greve DN Grodstein F Wright CI Blacker D Rosas HD 2009 The cortical signature of Alzheimer's disease: regionally specific cortical thinning relates to symptom severity in very mild to mild AD dementia and is detectable in asymptomatic amyloid-positive individuals Cereb Cortex N Y N 1991 19 497 510 PMC2638813 18632739
- Folstein MF Folstein SE McHugh PR 1975 “Mini-mental state” A practical method for grading the cognitive state of patients for the clinician J Psychiatr Res 12 189 198 1202204
- Herholz K Salmon E Perani D Baron JC Holthoff V Frölich L Schönknecht P Ito K Mielke R Kalbe E 2002 Discrimination between Alzheimer Dementia and Controls by Automated Analysis of Multicenter FDG PET NeuroImage 17 302 316 12482085
- Jack CR Petersen RC Xu YC Waring SC O'Brien PC Tangalos EG Smith GE Ivnik RJ Kokmen E 1997 Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease Neurology 49 786 794 9305341 PMC2730601
- Jack CR Bennett DA Blennow K Carrillo MC Feldman HH Frisoni GB Hampel H Jagust WJ Johnson KA Knopman DS 2016a A/T/N: an unbiased descriptive classification scheme for Alzheimer disease biomarkers Neurology 87 539 547 27371494 PMC4970664
- Jack CR Wiste HJ Weigand SD Therneau TM Lowe VJ Knopman DS Gunter JL Senjem ML Jones DT Kantarci K 2016b Defining imaging biomarker cut points for brain aging and Alzheimer's disease Alzheimers Dement PMC5344738 27697430
- Johnson KA Schultz A Betensky RA Becker JA Sepulcre J Rentz D Mormino E Chhatwal J Amariglio R Papp K 2016 Tau positron emission tomographic imaging in aging and early Alzheimer disease Ann Neurol 79 110 119 26505746 PMC4738026
- Joshi A Koeppe RA Fessler JA 2009 Reducing between scanner differences in multi-center PET studies NeuroImage 46 154 159 19457369 PMC4308413
- Knopman DS Parisi JE Salviati A Floriach-Robert M Boeve BF Ivnik RJ Smith GE Dickson DW Johnson KA Petersen LE 2003 Neuropathology of Cognitively Normal Elderly J Neuropathol Exp Neurol 62 1087 1095 14656067
- Landau SM Marks SM Mormino EC Rabinovici GD Oh H O'Neil JP Wilson RS Jagust WJ 2012 Association of lifetime cognitive engagement and low β-amyloid deposition Arch Neurol 69 623 629 22271235 PMC3747737
- Landau SM Breault C Joshi AD Pontecorvo M Mathis CA Jagust WJ Mintun MA Alzheimer's Disease Neuroimaging Initiative 2013 Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods J Nucl Med Off Publ Soc Nucl Med 54 70 77 PMC3747730 23166389
- Logan J Fowler JS Volkow ND Wang GJ Ding YS Alexoff DL 1996 Distribution volume ratios without blood sampling from graphical analysis of PET data J Cereb Blood Flow Metab Off J Int Soc Cereb Blood Flow Metab 16 834 840 8784228
- Lowe VJ Curran G Fang P Liesinger AM Josephs KA Parisi JE Kantarci K Boeve BF Pandey MK Bruinsma T 2016 An autoradiographic evaluation of AV-1451 Tau PET in dementia Acta Neuropathol Commun 4 PMC4906968 27296779
- Marquié M Normandin MD Vanderburg CR Costantino IM Bien EA Rycyna LG Klunk WE Mathis CA Ikonomovic MD Debnath ML 2015 Validating novel tau positron emission tomography tracer [F-18]-AV-1451 (T807) on postmortem brain tissue Ann Neurol 78 787 800 26344059 PMC4900162
- Metz CE 1978 Basic principles of ROC analysis Semin Nucl Med 8 283 298 112681
- Ossenkoppele R Schonhaut DR Schöll M Lockhart SN Ayakta N Baker SL O'Neil JP Janabi M Lazaris A Cantwell A 2016 Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease Brain aww027 PMC5006248 26962052
- Petersen RC Parisi JE Dickson DW Johnson KA Knopman DS Boeve BF Jicha GA Ivnik RJ Smith GE Tangalos EG 2006 Neuropathologic features of amnestic mild cognitive impairment Arch Neurol 63 665 672 16682536
- Price JC Klunk WE Lopresti BJ Lu X Hoge JA Ziolko SK Holt DP Meltzer CC DeKosky ST Mathis CA 2005 Kinetic modeling of amyloid binding in humans using PET imaging and Pittsburgh compound-B J Cereb Blood Flow Metab 25 1528 1547 15944649
- Rousset OG Ma Y Evans AC 1998 Correction for partial volume effects in PET: principle and validation J Nucl Med Off Publ Soc Nucl Med 39 904 911 9591599
- Saint-Aubert L Almkvist O Chiotis K Almeida R Wall A Nordberg A 2016 Regional tau deposition measured by [18F]THK5317 positron emission tomography is associated to cognition via glucose metabolism in Alzheimer's disease Alzheimers Res Ther 8 38 27683159 PMC5041516
- Saint-Aubert L Lemoine L Chiotis K Leuzy A Rodriguez-Vieitez E Nordberg A 2017 Tau PET imaging: present and future directions Mol Neurodegener 12 19 28219440 PMC5319037
- Schwarz AJ Yu P Miller BB Shcherbinin S Dickson J Navitsky M Joshi AD Devous MD Mintun MS 2016 Regional profiles of the candidate tau PET ligand 18F-AV-1451 recapitulate key features of Braak histopathological stages Brain J Neurol 139 1539 1550 26936940
- Sepulcre J Schultz AP Sabuncu M Gomez-Isla T Chhatwal J Becker A Sperling R Johnson KA 2016 In vivo Tau, amyloid, and gray matter profiles in the aging brain J Neurosci 36 7364 7374 27413148 PMC4945661
- Shcherbinin S Schwarz AJ Joshi A Navitsky M Flitter M Shankle WR Devous MD Mintun MA 2016 Kinetics of the Tau PET Tracer 18F-AV-1451 (T807) in subjects with normal cognitive function, mild cognitive impairment, and Alzheimer disease J Nucl Med Off Publ Soc Nucl Med 57 1535 1542 27151986
- Siemers ER Sundell KL Carlson C Case M Sethuraman G Liu-Seifert H Dowsett SA Pontecorvo MJ Dean RA Demattos R 2016 Phase 3 solanezumab trials: secondary outcomes in mild Alzheimer's disease patients Alzheimers Dement J Alzheimers Assoc 12 110 120 26238576
- Vemuri P Lowe VJ Knopman DS Senjem ML Kemp BJ Schwarz CG Przybelski SA Machulda MM Petersen RC Jack CR Jr 2017 Tau-PET uptake: regional variation in average SUVR and impact of amyloid deposition Alzheimers Dement Diagn Assess Dis Monit 6 21 30 PMC5257031 28138510
- Villeneuve S Rabinovici GD Cohn-Sheehy BI Madison C Ayakta N Ghosh PM La Joie R Arthur-Bentil SK Vogel JW Marks SM 2015 Existing Pittsburgh compound-B positron emission tomography thresholds are too high: statistical and pathological evaluation Brain J Neurol 138 2020 2033 PMC4806716 25953778
- Wang L Benzinger TL Su Y Christensen J Friedrichsen K Aldea P McConathy J Cairns NJ Fagan AM Morris JC 2016 Evaluation of Tau imaging in staging Alzheimer disease and revealing interactions between β-amyloid and tauopathy JAMA Neurol 73 1070 1077 27454922 PMC5237382
- Wooten D Guehl NJ Verwer EE Shoup TM Yokell DL Zubcevik N Vasdev N Zafonte RD Johnson KA Fakhri GE 2016 Pharmacokinetic evaluation of the tau PET radiotracer [18F]T807 ([18F]AV-1451) in human subjects J Nucl Med jnumed 115 170910 PMC5334185 27660144
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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
“Methods of image quantification vary among research groups and are constantly being refined [191,192].”
Self-citationJanelidze, S., Mattsson, N., Palmqvist, S., Smith, R., Beach, T. G., Serrano, G. E., Chai, X., Proctor, N. K., Eichenlaub, U., Zetterberg, H., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0755-1 · Cited by 1,247 · see citing works
Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group
Dubois, B., Villain, N., Frisoni, G. B., Rabinovici, G. D., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., et al. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00066-1 · Cited by 1,051 · see citing works
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Cummings, J., Lee, G., Ritter, A., & Zhong, K. (2018) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2018.03.009 · Cited by 697 · see citing works
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Jagust, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0067-3 · Cited by 604 · see citing works
Self-citationOssenkoppele, R., Rabinovici, G. D., Smith, R., Cho, H., Schöll, M., Strandberg, O., Palmqvist, S., Mattsson, N., Janelidze, S., Santillo, A., et al. (2018) · JAMA · doi:10.1001/jama.2018.12917 · Cited by 472 · see citing works
Self-citationLongitudinal tau PET in ageing and Alzheimer’s disease
Jack, C. R., Wiste, H. J., Schwarz, C. G., Lowe, V. J., Senjem, M. L., Vemuri, P., Weigand, S. D., Therneau, T. M., Knopman, D. S., Gunter, J. L., et al. (2018) · Brain · doi:10.1093/brain/awy059 · Cited by 452 · see citing works
Buckley, R. F., Mormino, E. C., Rabin, J. S., Hohman, T. J., Landau, S., Hanseeuw, B. J., Jacobs, H. I. L., Papp, K. V., Amariglio, R. E., Properzi, M. J., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.4693 · Cited by 373 · see citing works
Self-citationOssenkoppele, R., Smith, R., Mattsson-Carlgren, N., Groot, C., Leuzy, A., Strandberg, O., Palmqvist, S., Olsson, T., Jögi, J., Stormrud, E., et al. (2021) · JAMA Neurology · doi:10.1001/jamaneurol.2021.1858 · Cited by 311 · see citing works
Self-citationJack, C. R., Wiste, H. J., Therneau, T. M., Weigand, S. D., Knopman, D. S., Mielke, M. M., Lowe, V. J., Vemuri, P., Machulda, M. M., Schwarz, C. G., et al. (2019) · JAMA · doi:10.1001/jama.2019.7437 · Cited by 324 · see citing works
Jack, C. R., Therneau, T. M., Weigand, S. D., Wiste, H. J., Knopman, D. S., Vemuri, P., Lowe, V. J., Mielke, M. M., Roberts, R. O., Machulda, M. M., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1971 · Cited by 300 · see citing works
Neuroimaging biomarkers for Alzheimer’s disease.
Márquez, F., & Yassa, M. A. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0325-5 · Cited by 289 · see citing works
Time course of phosphorylated-tau181 in blood across the Alzheimer’s disease spectrum
Moscoso, A., Grothe, M. J., Ashton, N. J., Karikari, T. K., Rodriguez, J. L., Snellman, A., Suárez-Calvet, M., Zetterberg, H., Blennow, K., Schöll, M., et al. (2021) · Brain · doi:10.1093/brain/awaa399 · Cited by 229 · see citing works
Sanchez, J. S., Becker, J. A., Jacobs, H. I. L., Hanseeuw, B. J., Jiang, S., Schultz, A. P., Properzi, M. J., Katz, S. R., Beiser, A., Satizabal, C. L., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abc0655 · Cited by 200 · see citing works
Jack, C. R., Wiste, H. J., Botha, H., Weigand, S. D., Therneau, T. M., Knopman, D. S., Graff-Radford, J., Jones, D. T., Ferman, T. J., Boeve, B. F., et al. (2019) · Brain · doi:10.1093/brain/awz268 · Cited by 200 · see citing works
Prevalence and clinical phenotype of quadruple misfolded proteins in older adults
Karanth, S., Nelson, P. T., Katsumata, Y., Kryscio, R. J., Schmitt, F. A., Fardo, D. W., Cykowski, M. D., Jicha, G. A., Van Eldik, L. J., & Abner, E. L. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1741 · Cited by 206 · see citing works
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Tsai, R. M., Bejanin, A., Lesman-Segev, O., LaJoie, R., Visani, A., Bourakova, V., O’Neil, J. P., Janabi, M., Baker, S., Lee, S. E., et al. (2019) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0470-7 · Cited by 164 · see citing works
Self-citationOssenkoppele, R., Lyoo, C. H., Jester-Broms, J., Sudre, C. H., Cho, H., Ryu, Y. H., Choi, J. Y., Smith, R., Strandberg, O., Palmqvist, S., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2019.5154 · Cited by 161 · see citing works
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Adams, J. N., Maass, A., Harrison, T. M., Baker, S. L., & Jagust, W. J. (2019) · eLife · doi:10.7554/elife.49132 · Cited by 160 · see citing works
Self-citationEwers, M., Biechele, G., Suárez‐Calvet, M., Sacher, C., Blume, T., Morenas‐Rodriguez, E., Deming, Y., Piccio, L., Cruchaga, C., Kleinberger, G., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012308 · Cited by 133 · see citing works
Baker, S. L., Harrison, T. M., Maass, A., La Joie, R., & Jagust, W. J. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.118.224113 · Cited by 132 · see citing works
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Jang, H., Park, J., Woo, S., Kim, S., Kim, H. J., Na, D. L., Lockhart, S. N., Kim, Y., Kim, K. W., Cho, S. H., et al. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101941 · Cited by 46 · see citing works
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- Authors
- Maass, A., Landau, S., Baker, S. L., Horng, A., Lockhart, S. N., La Joie, R., Rabinovici, G. D., & Jagust, W. J.
- Affiliations
- German Center for Neurodegenerative Diseases (DE)
- University of California, Berkeley (US)
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Maass, Anne
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-08
- Volume
- 157
- Pages
- 448-463
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC5814575
- OpenAlex
- W2621105275
- Cited by
- 462
- References
- 12
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- FWCI
- 34.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- NeuroImage (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- DZNE Pub (submittedVersion)
- Funders
- University of California, San Diego
- Eli Lilly and Company
- Biogen
- National Institute of Biomedical Imaging and Bioengineering
- Alzheimer's Disease Neuroimaging Initiative
- Northern California Institute for Research and Education
- University of Southern California
- U.S. Department of Defense (W81XWH-12-2-0012)
- Alzheimer's Association
- Roche
- National Institute on Aging
- AbbVie
- Alzheimer's Drug Discovery Foundation
- National Institutes of Health (U01 AG024904)
- Bristol-Myers Squibb
- Eisai
- BioClinica
- 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 › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- tau PET, Alzheimer's disease, mild cognitive impairment, 18F-AV-1451, Braak staging, tau biomarkers, amyloid, medial temporal lobe, entorhinal cortex, hippocampal atrophy, memory decline, diagnostic accuracy, aging
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Carbolines, Female, Humans, Male, Middle Aged, Severity of Illness Index, Cohort Studies, Amyloid beta-Peptides, tau Proteins, Age of Onset, Neocortex, Positron-Emission Tomography, Young Adult, 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 ›
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