The relationship between cerebrospinal fluid markers of Alzheimer pathology and positron emission tomography tau imaging
Open accessAbstract
The two primary molecular pathologies in Alzheimer's disease are amyloid-β plaques and tau-immunoreactive neurofibrillary tangles. Investigations into these pathologies have been restricted to cerebrospinal fluid assays, and positron emission tomography tracers that can image amyloid-β plaques. Tau tracers have recently been introduced into the field, although the utility of the tracer and its relationship to other Alzheimer biomarkers are still unknown. Here we examined tau deposition in 41 cognitively normal and 11 cognitively impaired older adults using the radioactive tau ligand (18)F-AV-1451 (previously known as T807) who also underwent a lumbar puncture to assess cerebrospinal fluid levels of total tau (t-tau), phosphorylated tau181 (p-tau181) and amyloid-β42 Voxel-wise statistical analyses examined spatial patterns of tau deposition associated with cognitive impairment. We then related the amount of tau tracer uptake to levels of cerebrospinal fluid biomarkers. All analyses controlled for age and gender and, when appropriate, the time between imaging and lumbar puncture assessments. Symptomatic individuals (Clinical Dementia Rating > 0) demonstrated markedly increased levels of tau tracer uptake. This elevation was most prominent in the temporal lobe and temporoparietal junction, but extended more broadly into parietal and frontal cortices. In the entire cohort, there were significant relationships among all cerebrospinal fluid biomarkers and tracer uptake, notably for tau-related cerebrospinal fluid markers. After controlling for levels of amyloid-β42, the correlations with tau uptake were r = 0.490 (P < 0.001) for t-tau and r = 0.492 (P < 0.001) for p-tau181 Within the cognitively normal cohort, levels of amyloid-β42, but not t-tau or p-tau181, were associated with elevated tracer binding that was confined primarily to the medial temporal lobe and adjacent neocortical regions. AV-1451 tau binding in the medial temporal, parietal, and frontal cortices is correlated with tau-related cerebrospinal fluid measures. In preclinical Alzheimer's disease, there is focal tauopathy in the medial temporal lobes and adjacent cortices.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
CSF biomarkers are measures of the concentrations of proteins in CSF from the lumbar sac that reflect the rates of both production and clearance at a given point in time.
“CSF biomarkers are measures of the concentrations of proteins in CSF from the lumbar sac that reflect the rates of both production (protein expression or release/secretion from neurons or other brain cells) and clearance (degradation or removal) at a given point in time [114,115].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [115]
The CSF assessment section (page unavailable in our copy) reports that CSF samples were collected and concentrations of tau, phosphorylated tau, and amyloid-β42 were measured in pg/ml; the Participants section says CSF was obtained by lumbar puncture. Neither section, nor the passages retrieved for production and clearance, says those concentrations reflect the rates of protein production and clearance at a given point in time. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe correlation between tau PET ligand binding and elevated CSF P-tau is imperfect.
“In the limited data currently available, tau PET ligand binding is linearly correlated with elevated CSF P-tau [82,83,115]; however, the correlation is imperfect.”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [115]
In the limited data currently available, tau PET ligand binding is linearly correlated with elevated CSF P-tau.
“In the limited data currently available, tau PET ligand binding is linearly correlated with elevated CSF P-tau [82,83,115]; however, the correlation is imperfect.”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [115]
Differences among (N) biomarkers may result in discordances.
“These differences may result in discordances [36,43,115,119,159].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [115]
The correlation between CSF T-tau and P-tau is typically much higher than between CSF T-tau and MRI measures of atrophy or FDG PET.
“CSF levels of T-tau and P-tau are tightly correlated within cohorts of AD patients and controls [145], and the correlation between CSF T-tau and P-tau is typically much higher than between CSF T-tau and MRI measures of atrophy or FDG PET [36,115].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [115]
The ‘Relationship among PET tau binding and CSF biomarkers’ section reports separate correlations of CSF T-tau and P-tau with tau PET, not a correlation between the two CSF measures. The Discussion proposes future analyses using metabolism and structural atrophy; our copy does not compare the claimed correlations with MRI atrophy or FDG PET (searched: T-tau/P-tau correlation, MRI atrophy, FDG PET). Page numbers were unavailable in the indexed passages. (LLM, conf=0.76)
Experimental — accuracy not yet measured
The sensitivity and specificity of Tau PET and CSF P-tau to identify abnormalities in tau metabolism differ.
“Our current results, together with previous findings (14), suggest that the sensitivity and specificity of Tau PET and CSF P-tau to identify abnormalities in tau metabolism differ.”
From Aβ deposition is associated with increases in soluble and phosphorylated tau that precede a positive tau PET in Alzheimer's disease (2020) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
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 · see citing works
Self-citation<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484 · see citing works
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
SMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250 · see citing works
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806 · see citing works
Jack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396 · see citing works
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208 · see citing works
Permutation inference for the general linear model
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.060 · Cited by 3,563 · see citing works
Phases of Aβ-deposition in the human brain and its relevance for the development of AD
Thal, D. R., Rüb, U., Orantes, M., & Braak, H. (2002) · Neurology · doi:10.1212/wnl.58.12.1791 · Cited by 3,490 · see citing works
Braak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172 · see citing works
Neurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668 · see citing works
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects
Shaw, L. M., Vanderstichele, H., Knapik‐Czajka, M., Clark, C. M., Aisen, P. S., Petersen, R. C., Blennow, K., Soares, H., Simon, A., Lewczuk, P., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21610 · Cited by 2,065 · see citing works
Primary age-related tauopathy (PART): a common pathology associated with human aging
Crary, J. F., Trojanowski, J. Q., Schneider, J. A., Abisambra, J. F., Abner, E. L., Alafuzoff, I., Arnold, S. E., Attems, J., Beach, T. G., Bigio, E. H., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1349-0 · Cited by 1,467 · see citing works
Self-citationArnold, S. E., Hyman, B. T., Flory, J., Damasio, A. R., & Van Hoesen, G. W. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.103 · Cited by 1,380 · see citing works
Fagan, A. M., Mintun, M. A., Mach, R. H., Lee, S., Dence, C. S., Shah, A. R., LaRossa, G. N., Spinner, M. L., Klunk, W. E., Mathis, C. A., et al. (2006) · Annals of Neurology · doi:10.1002/ana.20730 · Cited by 1,246 · see citing works
Self-citationTangle and neuron numbers, but not amyloid load, predict cognitive status in Alzheimer’s disease
Giannakopoulos, P., Herrmann, F. R., Bussière, T., Bouras, C., Kövari, E., Perl, D. P., Morrison, J. H., Gold, G., & Hof, P. R. (2003) · Neurology · doi:10.1212/01.wnl.0000063311.58879.01 · Cited by 1,118 · see citing works
Paired Helical Filaments in Electron Microscopy of Alzheimer's Disease
KIDD, M. (1963) · Nature · doi:10.1038/197192b0 · Cited by 1,012 · see citing works
Tau positron emission tomographic imaging in aging and early <scp>A</scp> lzheimer disease
Johnson, K. A., Schultz, A., Betensky, R. A., Becker, J. A., Sepulcre, J., Rentz, D., Mormino, E., Chhatwal, J., Amariglio, R., Papp, K., et al. (2016) · Annals of Neurology · doi:10.1002/ana.24546 · Cited by 986 · see citing works
Nonparametric Analysis of Statistic Images from Functional Mapping Experiments
Holmes, A., Blair, R. C., Watson, J., & Ford, I. (1996) · Journal of Cerebral Blood Flow and Metabolism · doi:10.1097/00004647-199601000-00002 · Cited by 948 · see citing works
Post-mortem correlates of in vivo PiB-PET amyloid imaging in a typical case of Alzheimer's disease
Ikonomovic, M. D., Klunk, W. E., Abrahamson, E. E., Mathis, C. A., Price, J. C., Tsopelas, N. D., Lopresti, B. J., Ziolko, S., Bi, W., Paljug, W. R., et al. (2008) · Brain · doi:10.1093/brain/awn016 · Cited by 933 · see citing works
Correction for partial volume effects in PET: principle and validation.
ROUSSET, O. G., Ma, Y., & Evans, A. C. (1998) · PubMed · Cited by 919 · see citing works
The biochemical pathway of neurofibrillary degeneration in aging and Alzheimer's disease.
Delacourte, A., David, J. P., Sergeant, N., Buée, L., Wattez, A., Vermersch, P., Ghozali, F., Fallet-Bianco, C., Pasquier, F., Lebert, F., et al. (1999) · Neurology · doi:10.1212/wnl.52.6.1158 · Cited by 828 · see citing works
Price, J. L., Davis, P. B., Morris, J. C., & White, D. L. (1991) · Neurobiology of Aging · doi:10.1016/0197-4580(91)90006-6 · Cited by 818 · see citing works
Self-citationEarly Clinical PET Imaging Results with the Novel PHF-Tau Radioligand [F18]-T808
Chien, D. T., Szardenings, A. K., Bahri, S., Walsh, J. C., Mu, F., Xia, C. A., Shankle, W. R., Lerner, A. J., Su, M., Elizarov, A. M., et al. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130098 · Cited by 676 · 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 11× · see citing works
“The advent of PET tau tracers that preferentially bind to paired helical filaments (Chien et al., 2013; Xia et al., 2013; Villemagne and Okamura, 2014; Marquie et al., 2015) has provided a new method to track not only the levels of tauopathy, but also the crucial spatial propagation of tauopathy throughout the brain.”
BackgroundMethodResultInfluentialMarquié, M., Normandin, M. D., Vanderburg, C. R., Costantino, I. M., Bien, E. A., Rycyna, L. G., Klunk, W. E., Mathis, C. A., Ikonomovic, M. D., Debnath, M. L., et al. (2015) · Annals of Neurology · doi:10.1002/ana.24517 · Cited by 615 · see citing works
Xia, C., Arteaga, J., Chen, G., Gangadharmath, U., Gomez, L. F., Kasi, D., Lam, C., Liang, Q., Liu, C., Mocharla, V. P., et al. (2013) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2012.11.008 · Cited by 605 · see citing works
Tau 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
Transient increase in total tau but not phospho-tau in human cerebrospinal fluid after acute stroke
Hesse, C., Rosengren, L., Andreasen, N., Davidsson, P., Vanderstichele, H., Vanmechelen, E., & Blennow, K. (2001) · Neuroscience Letters · doi:10.1016/s0304-3940(00)01697-9 · Cited by 450 · see citing works
Regional variability of imaging biomarkers in autosomal dominant Alzheimer's disease
Benzinger, T. L. S., Blazey, T., Jack, C. R., Koeppe, R. A., Su, Y., Xiong, C., Raichle, M. E., Snyder, A. Z., Ances, B. M., Bateman, R. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317918110 · Cited by 391 · see citing works
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 · see citing works
Self-citationInitial CSF total tau correlates with 1-year outcome in patients with traumatic brain injury
Öst, M., Nylén, K., Csajbok, L., Öhrfelt, A. O., Tullberg, M., Wikkelsö, C., Nellgård, P., Rosengren, L., Blennow, K., & Nellgård, B. (2006) · Neurology · doi:10.1212/01.wnl.0000242732.06714.0f · Cited by 321 · see citing works
Non-invasive assessment of Alzheimer’s disease neurofibrillary pathology using 18F-THK5105 PET
Okamura, N., Furumoto, S., Fodero‐Tavoletti, M. T., Mulligan, R. S., Harada, R., Yates, P. A., Pejoska, S., Kudo, Y., Masters, C. L., Yanai, K., et al. (2014) · Brain · doi:10.1093/brain/awu064 · Cited by 266 · see citing works
Partial volume correction in quantitative amyloid imaging
Su, Y., Blazey, T. M., Snyder, A. Z., Raichle, M. E., Marcus, D. S., Ances, B. M., Bateman, R. J., Cairns, N. J., Aldea, P., Cash, L., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.058 · Cited by 247 · see citing works
Self-citationQuantitative 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 · cited 1× · see citing works
“…10, 2016 http://brain.oxfordjournals.org/ D ow nloaded from Although the primary focus of the current analysis is on voxel-wise patterns of PET tau tracer uptake, as a supplementary analysis data were also processed using a region of interest approach as detailed previously (Su et al., 2013, 2015).”
MethodSelf-citationMaia, L. F., Kaeser, S. A., Reichwald, J., Hruscha, M., Martus, P., Staufenbiel, M., & Jucker, M. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3006446 · Cited by 204 · see citing works
In vivo evaluation of a novel tau imaging tracer for Alzheimer’s disease
Villemagne, V. L., Furumoto, S., Fodero‐Tavoletti, M. T., Mulligan, R. S., Hodges, J. R., Harada, R., Yates, P. A., Piguet, O., Pejoska, S., Doré, V., et al. (2014) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-013-2681-7 · Cited by 170 · see citing works
Vlassenko, A. G., Mintun, M. A., Xiong, C., Sheline, Y. I., Goate, A., Benzinger, T. L. S., & Morris, J. C. (2011) · Annals of Neurology · doi:10.1002/ana.22608 · Cited by 144 · see citing works
Self-citationTau aggregation in the hippocampal formation: an ageing or a pathological process?
Delacourte, A., Sergeant, N., Wattez, A., Maurage, C., Lebert, F., Pasquier, F., & David, J. (2002) · Experimental Gerontology · doi:10.1016/s0531-5565(02)00141-9 · Cited by 98 · see citing works
In vivo tau imaging: Obstacles and progress
Villemagne, V. L., & Okamura, N. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.04.013 · Cited by 96 · see citing works
The effects of white matter hyperintensities and amyloid deposition on Alzheimer dementia
Gordon, B. A., Najmi, S., Hsu, P. J., Roe, C. M., Morris, J. C., & Benzinger, T. L. S. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.04.017 · Cited by 56 · see citing works
Self-citationAn MR image-guided, voxel-based partial volume correction method for PET images
Wang, H., & Fei, B. (2011) · Medical Physics · doi:10.1118/1.3665704 · Cited by 48 · see citing works
Surface-based partial-volume correction for high-resolution PET
Funck, T., Paquette, C., Evans, A. C., & Thiel, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.08.037 · Cited by 26 · see citing works
Coello, C. S., Willoch, F., Selnes, P., Gjerstad, L., Fladby, T., & Skretting, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.043 · Cited by 23 · see citing works
A new voice for global neurology?
Neurology, T. L. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70347-3 · Cited by 8 · see citing works
Price (1999) · doi:10.1002/1531-8249(199903)45:3
Flagged first, then by citations
Research works printed but not linked: 2
- Johnson KA, Schultz A, Betensky RA, Becker JA, Sepulcre J, Rentz D, et al. Tau PET imaging in aging and early Alzheimer's disease. Ann Neurol 2016; 79: 110-19.
- Marquie M, Normandin MD, Vanderburg CR, Costantino I, Bien EA, Rycyna LG, et al. Validating novel tau PET tracer [F-18]-AV-1451 (T807) on postmortem brain tissue. Ann Neurol 2015; 78: 787-800.
Cited by
Sorted by citations
NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease
Jack, C. R., Bennett, D. A., Blennow, K., Carrillo, M. C., Dunn, B., Haeberlein, S. B., Holtzman, D. M., Jagust, W., Jessen, F., Karlawish, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.02.018 · Cited by 10,537 · see citing works
“Similarly, the number of neurons or neuronal processes that must be lost to detect atrophy on MRI or hypometabolism on FDG PET is not known.”
InfluentialSelf-citationBiomarkers for Alzheimer's disease: current status and prospects for the future
Blennow, K., & Zetterberg, H. (2018) · Journal of Internal Medicine · doi:10.1111/joim.12816 · Cited by 1,000 · see citing works
Tau Kinetics in Neurons and the Human Central Nervous System
Sato, C., Barthélemy, N. R., Mawuenyega, K. G., Patterson, B. W., Gordon, B. A., Jockel-Balsarotti, J., Sullivan, M., Crisp, M. J., Kasten, T., Kirmess, K. M., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.015 · Cited by 586 · 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
Suárez‐Calvet, M., Karikari, T. K., Ashton, N. J., Lantero Rodríguez, J., Milà‐Alomà, M., Gispert, J. D., Salvadó, G., Minguillon, C., Fauria, K., Shekari, M., et al. (2020) · EMBO Molecular Medicine · doi:10.15252/emmm.202012921 · Cited by 401 · see citing works
Mattsson-Carlgren, N., Andersson, E., Janelidze, S., Ossenkoppele, R., Insel, P., Strandberg, O., Zetterberg, H., Rosen, H. J., Rabinovici, G., Chai, X., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz2387 · Cited by 359 · see citing works
Pontecorvo, M. J., Devous, M. D., Navitsky, M., Lu, M., Salloway, S., Schaerf, F. W., Jennings, D., Arora, A. K., McGeehan, A., Lim, N. C., et al. (2017) · Brain · doi:10.1093/brain/aww334 · Cited by 357 · see citing works
Jacobs, H. I. L., Hedden, T., Schultz, A. P., Sepulcre, J., Perea, R. D., Amariglio, R. E., Papp, K. V., Rentz, D. M., Sperling, R. A., & Johnson, K. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0070-z · Cited by 270 · see citing works
Gordon, B. A., Blazey, T. M., Christensen, J., Dincer, A., Flores, S., Keefe, S., Chen, C., Su, Y., McDade, E. M., Wang, G., et al. (2019) · Brain · doi:10.1093/brain/awz019 · Cited by 180 · see citing works
Self-citation18F‐AV‐1451 and CSF T‐tau and P‐tau as biomarkers in Alzheimer's disease
Mattsson, N., Schöll, M., Strandberg, O., Smith, R., Palmqvist, S., Insel, P. S., Hägerström, D., Ohlsson, T., Zetterberg, H., Jögi, J., et al. (2017) · EMBO Molecular Medicine · doi:10.15252/emmm.201707809 · Cited by 177 · see citing works
White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease
Araque Caballero, M. Á., Suárez-Calvet, M., Duering, M., Franzmeier, N., Benzinger, T., Fagan, A. M., Bateman, R. J., Jack, C. R., Levin, J., Dichgans, M., et al. (2018) · Brain · doi:10.1093/brain/awy229 · Cited by 179 · see citing works
Self-citationBarthélemy, N. R., Saef, B., Li, Y., Gordon, B. A., He, Y., Horie, K., Stomrud, E., Salvadó, G., Janelidze, S., Sato, C., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00380-7 · Cited by 153 · see citing works
Self-citationBiomarkers used in Alzheimer’s disease diagnosis, treatment, and prevention
Mahaman, Y. A. R., Embaye, K. S., Huang, F., Li, L., Zhu, F., Wang, J.-Z., Liu, R., Feng, J., & Wang, X. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101544 · Cited by 149 · see citing works
Cummings, J. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.05.006 · Cited by 140 · see citing works
Predicting progression from normal cognition to mild cognitive impairment for individuals at 5 years
Albert, M., Zhu, Y., Moghekar, A., Mori, S., Miller, M. I., Soldan, A., Pettigrew, C., Selnes, O., Li, S., & Wang, M.-C. (2018) · Brain · doi:10.1093/brain/awx365 · Cited by 118 · see citing works
Lessons learned about [F-18]-AV-1451 off-target binding from an autopsy-confirmed Parkinson’s case.
Marquié, M., Verwer, E. E., Meltzer, A. C., Kim, S. J. W., Agüero, C., Gonzalez, J., Makaretz, S. J., Siao Tick Chong, M., Ramanan, P., Amaral, A. C., et al. (2017) · Acta Neuropathologica Communications · doi:10.1186/s40478-017-0482-0 · Cited by 128 · see citing works
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 · see citing works
Cerebrospinal fluid tau fragment correlates with tau PET: a candidate biomarker for tangle pathology
Blennow, K., Chen, C., Cicognola, C., Wildsmith, K. R., Manser, P. T., Bohorquez, S. M. S., Zhang, Z., Xie, B., Peng, J., Hansson, O., et al. (2020) · Brain · doi:10.1093/brain/awz346 · Cited by 105 · see citing works
Aerobic glycolysis and tau deposition in preclinical Alzheimer's disease
Vlassenko, A. G., Gordon, B. A., Goyal, M. S., Su, Y., Blazey, T. M., Durbin, T. J., Couture, L. E., Christensen, J. J., Jafri, H., Morris, J. C., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.014 · Cited by 107 · see citing works
Self-citationAlzheimer's drug‐development pipeline: 2016
Cummings, J., Morstorf, T., & Lee, G. (2016) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1016/j.trci.2016.07.001 · Cited by 108 · see citing works
Wisch, J. K., McKay, N. S., Boerwinkle, A. H., Kennedy, J., Flores, S., Handen, B. L., Christian, B. T., Head, E., Mapstone, M., Rafii, M. S., et al. (2024) · The Lancet Neurology · doi:10.1016/s1474-4422(24)00084-x · Cited by 37 · see citing works
Self-citationIn vivo [ <sup>18</sup> F]-AV-1451 tau-PET imaging in sporadic Creutzfeldt-Jakob disease
Day, G. S., Gordon, B. A., Perrin, R. J., Cairns, N. J., Beaumont, H., Schwetye, K., Ferguson, C., Sinha, N., Bucelli, R., Musiek, E. S., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005064 · Cited by 26 · see citing works
Self-citationProteomic clusters underlie heterogeneity in preclinical Alzheimer’s disease progression
Wisch, J. K., Butt, O. H., Gordon, B. A., Schindler, S. E., Fagan, A. M., Henson, R. L., Yang, C., Boerwinkle, A. H., Benzinger, T. L. S., Holtzman, D. M., et al. (2023) · Brain · doi:10.1093/brain/awac484 · Cited by 11 · see citing works
Self-citation
- Authors
- Gordon, B. A., Friedrichsen, K., Brier, M., Blazey, T., Su, Y., Christensen, J., Aldea, P., McConathy, J., Holtzman, D. M., Cairns, N. J., Morris, J. C., Fagan, A. M., Ances, B. M., & Benzinger, T. L. S.
- Affiliations
- Washington University in St. Louis (US)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-06-10
- Volume
- 139
- Issue
- 8
- Pages
- 2249-2260
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC4958902
- OpenAlex
- W2412942072
- Cited by
- 184
- References
- 48
- Citations by year
- 2026: 5 · 2025: 11 · 2024: 11 · 2023: 10 · 2022: 13 · 2021: 24 · 2020: 27 · 2019: 20 · 2018: 27 · 2017: 25 · 2016: 10
- FWCI
- 24.29
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Foundation for Barnes-Jewish Hospital
- Hope Center for Neurological Disorders
- Foundation of Hope for Research and Treatment of Mental Illness
- National Institutes of Health (UL1TR000448)
- National Institute on Aging (P50AG005681, P01AG003991, P01AG026276)
- National Institute of Neurological Disorders and Stroke (P30NS048056)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Cerebrospinal fluid and hydrocephalus
- Keywords
- Alzheimer's disease, tau PET imaging, cerebrospinal fluid biomarkers, total tau, phosphorylated tau 181, amyloid-beta 42, tau deposition, preclinical Alzheimer's disease, cognitive impairment, medial temporal lobe, tauopathy, amyloid plaques
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Carbolines, Female, Humans, Male, Peptide Fragments, Biomarkers, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography
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