The DOI matches its Crossref record; 37 of the 38 references it cites were found in a registry or an index.
Effect of Off-Target Binding on 18F-Flortaucipir Variability in Healthy Controls Across the Life Span
Open accessAbstract
Measuring early tau accumulation is important in studying aging and Alzheimer disease and is only as accurate as the signal-to-noise ratio of the tracer. Along with aggregated tau in the form of neurofibrillary tangles, 18F-flortaucipir has been reported to bind to neuromelanin, monoamine oxidase, calcifications, iron, leptomeningeal melanocytes, and microhemorrages. Although 18F-flortaucipir successfully differentiates healthy controls (HCs) from subjects with Alzheimer disease, variability exists in the cortical signal in amyloid-negative HCs. We aimed to explore the relationship between off-target binding signal and variability in the cortical signal in HCs. Methods: Subjects (n = 139) received 11C-Pittsburgh compound B (PIB) and 18F-flortaucipir PET scans and a magnetization-prepared rapid gradient echo MRI scan. PET frames were realigned and coregistered to the MR images, which were segmented using FreeSurfer. In amyloid-negative HCs (n = 90; age range, 21–94 y), 7 nonspecific or off-target binding regions were considered: caudate, pallidum, putamen, thalamus, cerebellar white matter, hemispheric white matter, and choroid plexus. These regions of interest were assigned to 3 similarly behaving groups using principle components analysis, exploratory factor analysis, and Pearson correlations for caudate, putamen, and pallidum (also correlated with age); thalamus and white matter; and choroid plexus. In amyloid-negative HCs with 11C-PIB and 18F-flortaucipir scans, correlations were calculated between white and gray matter before and after partial-volume correction. Results: The correlation between white and gray matter disappeared after partial-volume correction in 11C-PIB (r2 = 0) but persisted for 18F-flortaucipir (r2 = 0.27), demonstrating that the correlation between white and gray matter signal in 18F-flortaucipir is not solely due to partial-volume effects. A linear regression showed that off-target signal from putamen and thalamus together explained 64% of the variability in the cortical signal in amyloid-negative HCs (not seen in amyloid-positive HCs). Variability in amyloid-negative HCs but not amyloid-positive HCs correlated with white matter signal (unrelated to partial-volume effects) and age-related off-target signal (possibly related to iron load). Conclusion: The noise in the 18F-flortaucipir measurement could pose challenges when studying early tau accumulation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“18F-AV-1451 can have other non-tau, non-TDP-43, targets such as neuromelanin (Marquié et al., 2015) and mono-amine oxidase (MAO) (Vermeiren et al., 2018), and such off-target binding is an important caveat in clinical studies using 18F-AV-1451 (Baker et al., 2019).”
From Neuroinflammation and protein aggregation co-localize across the frontotemporal dementia spectrum (2020) · cites this paper as Baker et al., 2019
In the citing paper
“Neuroimaging studies using tau-specific positron emission tomography radiotracers have demonstrated accumulation of flortaucipir (AV1451) in patients with TSC, a tracer with high affinity for phosphorylated tau 181 (ptau-181) linked to AD.”
In the citing paper
“This radioligand is well established to exhibit off-target binding (9, 12, 13).”
In the citing paper
“AV1451 has a high affinity for pTau-181 related to Alzheimer’s disease by PET imaging [6]; however, AV1451 also displays significant off-target binding [1].”
From Tuberous sclerosis complex is a novel, amyloid-independent tauopathy associated with elevated phosphorylated 3R/4R tau aggregation (2022) · cites this paper as [1]
In the citing paper
“Additionally, the FTP PET ligand is not specific for tau pathology and can show elevated binding unrelated to tau in normal individuals and in patients with non–tau-related neueodegeneration.42”
From Association of Cognitive and Behavioral Features Between Adults With Tuberous Sclerosis and Frontotemporal Dementia (2020) · cites this paper as [42]
Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Stages of the Pathologic Process in Alzheimer Disease: Age Categories From 1 to 100 Years
Braak, H., Thal, D. R., Ghebremedhin, E., & Del Tredici, K. (2011) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e318232a379 · Cited by 2,194
Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories
Braak, H., & Braak, E. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00056-0 · Cited by 1,656
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
PET 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
Self-citationTau positron emission tomographic imaging in aging and early Alzheimer 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
Correction for partial volume effects in PET: principle and validation.
ROUSSET, O. G., Ma, Y., & Evans, A. C. (1998) · PubMed · Cited by 919
Early 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 683
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×
“18F-flortaucipir (also known as T807 and 18F-AV-1451) is a PET tracer that binds with high affinity to paired helical filament tau in neurofibrillary tangles (2,3).”
Background
Cited by
Sorted by citations
Items 101–133 of 133
Stehouwer, J. S., Huang, G., Guarino, D. S., Debnath, M. L., Polu, A., Geib, S. J., Lopresti, B. J., Ikonomović, M. D., Mason, N. S., Mach, R. H., et al. (2025) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.4c02988 · Cited by 4
Giarratana, A. O. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1637243 · Cited by 4
Comparison of visual and analytic methods of Alzheimer's disease pathologic staging
Lopresti, B. J., Cohen, A. D., DelBene, A., Reese, A. C., Matan, C., Gogola, A., Chiang, M., Snitz, B. E., Laymon, C. M., Berman, S., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70520 · Cited by 4
Hu, Y., Sanaat, A., Mathoux, G., Teixeira, E. P. A., Garibotto, V., & Zaidi, H. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121246 · Cited by 3
Protas, H. D., Ghisays, V., Goradia, D. D., Bauer, R., Devadas, V., Chen, K., Reiman, E. M., & Su, Y. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1089134 · Cited by 4
Tau positron emission tomography in tauopathies: A narrative review
Lee, H., Gu, Y., Seo, S. W., & Moon, S. H. (2023) · Precision and Future Medicine · doi:10.23838/pfm.2023.00016 · Cited by 4
Distinct tau PET dynamics in early versus late age-of-onset Alzheimer’s disease
Chiotis, K., Blazhenets, G., Soleimani‐Meigooni, D. N., Aisen, P. S. S., Amuiri, A. N., Atri, A., Beckett, L. A., Brickhouse, M. J., Clark, D. G., Dage, J. L., et al. (2026) · Science Translational Medicine · doi:10.64898/2026.01.25.26344738 · Cited by 4
Kang, J. M., Shin, J., Kim, W., Seo, S., Seo, H., Lee, S.-Y., Park, K. H., Na, D. L., Okamura, N., Seong, J.-K., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230339 · Cited by 2
Integrating visual assessments and quantification methods for tau PET staging
Gu, Y., Yun, J., Moscoso, A., Schöll, M., Shin, D., Lee, E. H., Kang, H., Yim, S., Jo, H., Kim, J. P., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70352 · Cited by 2
Joint EANM/SNMMI recommendations on the use of Tau PET imaging in Alzheimer's disease
Brendel, M., Kuo, P. H., Brumberg, J., Doré, V., Drzezga, A. E., Garibotto, V., Leuzy, A., Mathoux, G., Meyer, P. T., Moscoso, A., et al. (2026) · The EANM Journal · doi:10.1016/j.eanmj.2026.100214 · Cited by 3
Tau-PET and CSF MTBR-tau243 comparisons validate increased tau aggregation in females
Robinson, C. G., Binette, A. P., Horie, K., Sato, C., Schindler, S. E., Bateman, R. J., Benzinger, T. L. S., Janelidze, S., Singleton, E. H., Stomrud, E., et al. (2026) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-026-07934-y · Cited by 2
A probabilistic framework for clinicopathological Alzheimer’s disease using tau-PET
van Tol, B. G. J., Groot, C., Vermeiren, M. R., van de Giessen, E., Pijnenburg, Y. A. L., Coomans, E. M., & Ossenkoppele, R. (2026) · Alzheimer s Research & Therapy · doi:10.1186/s13195-026-02133-1 · Cited by 1
Maaß, A., Garcia‐Garcia, B., Behrenbruch, N., Schumann‐Werner, B., Molloy, E. N., Schwarck, S., Rullmann, M., Hochkeppler, A., Fischer, L., Büchel, A., et al. (2026) · Journal of Nuclear Medicine · doi:10.2967/jnumed.125.271927 · Cited by 3
Traits and Trammels of Tau Tracer Imaging
Villemagne, V. L., Lopresti, B. J., Doré, V., Minhas, D. S., Gogola, A., Nadkarni, N. K., Mason, N. S., Bourgeat, P., López, O. L., Ikonomović, M. D., et al. (2023) · Springer eBooks · doi:10.1007/978-3-031-35098-6_6 · Cited by 1
Early Detection of Tau PathologyPreprint
Parekh, P. A., Badachhape, A., Mu, Q., Bhavane, R. C., Srivastava, M., Stupin, I. V., Bhandari, P., Devkota, L., Eriksen, J. L., Tanifum, E. A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.14.444233 · Cited by 1
Tau PET visual reads find sources of tau not explained by typical Alzheimer disease pathophysiologyPreprint
Chen, C. D., Ponisio, M. R., Lang, J., Flores, S. E., Schindler, S. E., Fagan, A. M., Morris, J. C., & Benzinger, T. L. S. (2022) · medRxiv · doi:10.1101/2022.12.20.22283743 · Cited by 1
Baumel, J., Lutz, M., Ding, C., Capal, J., Ritter, D., Krueger, D., Salter, A., Werner, K., & Liu, A. J. (2026) · medRxiv · doi:10.64898/2026.09.09.26362677
Hide-and-seek for radiotracers and neurodegenerative pathology
Herholz, K. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04661-5
Cyclic 2.5D Perceptual Loss for Cross‐Modal 3D Medical Image Synthesis: T1w MRI to Tau PET
Moon, J., Kim, S., Chung, H., Jang, I., & Initiative, A. D. N. (2026) · Human Brain Mapping · doi:10.1002/hbm.70508 · Cited by 4
Dixit, V. A., Kobzarenko, V., Baker, S. L., & Mitra, D. (2025) · SPIE Medical Imaging: Image Processing · doi:10.1117/12.3047059
Self-citationDratva, M. A., Diaz, J. M., Thomas, M. L., Shen, Q., Tsiknia, A. A., Rostowsky, K. A., Sundermann, E. E., & Banks, S. J. (2025) · Journal of Aging Research and Lifestyle · doi:10.1016/j.jarlif.2025.100001
A century of Alzheimer's disease: Merging neuropathology with in vivo biomarkers
Harrison, T. M., & Jagust, W. J. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-822240-9.00013-2
Self-citationAsken, B. M., & Rabinovici, G. D. (2021) · Figshare · doi:10.6084/m9.figshare.14651208
Satoh, R., Ali, F., Dickson, D. W., Lowe, V. J., Josephs, K. A., & Whitwell, J. L. (2026) · Journal of Nuclear Medicine · doi:10.2967/jnumed.125.271019
Incidental 18F-Flortaucipir Uptake in Pituitary Macroadenoma
Xiong, M., Liu, Y., Luo, X., & Jiang, S. (2026) · Clinical Nuclear Medicine · doi:10.1097/rlu.0000000000006313
Structured reading for Tau PET Imaging in Alzheimer's disease and related dementias
Orunmuyi, A. T., Wang, M., Rogeau, A., Dickson, J. C., Groves, A. M., Bomanji, J. B., Fraioli, F., & Weil, R. S. (2026) · Seminars in Nuclear Medicine · doi:10.1053/j.semnuclmed.2026.02.005
Chao, Y., Chen, Y., Chadwick, T. A., Harrison, T. M., Iaccarino, L., Heinsen, H., Ushizima, D. M., Tosun, D., Jagust, W. J., & Grinberg, L. T. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71453 · Cited by 1
Self-citationWiegand, T. L. T., Rubinski, A., Jung, L., Franzmeier, N., Arciniega, H., Ravanfar, P., Dewenter, A., Alosco, M. L., Tripodis, Y., Su, Y., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71503
A Harmonized Visual Reading Framework for Tau PET Staging in Alzheimer Disease
Ruppert, E. P., Vermeiren, M. R., Medeiros, M. S., Povala, G., Soares, C., Rocha, A., Franco, Á. D. O., Rodrigues, M. S., Oliveira, M. S., Mroué, R., et al. (2026) · JAMA Neurology · doi:10.1001/jamaneurol.2026.3253
Self-citationMeasuring in-vivo tau pathology in the basal forebrain with PET imaging
Harrison, T. M., Chadwick, T. A., Grothe, M. J., Ward, T., Baker, S. L., Landau, S. M., Jagust, W. J., & Initiative, A. D. N. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02564-2
Self-citationThe Case of the Accelerated Clock: Tau as a Protein of Interest in Epilepsy
Sarkis, R. A. (2026) · Epiliepsy currents/Epilepsy currents · doi:10.1177/15357597261489270
Tau extent is associated with lower cognition in Down syndrome‐related Alzheimer's disease
Zammit, M. D., Hartley, S. L., Christian, B. T., & Rafii, M. S. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71925
The relation of whole-brain functional connectivity to global amyloid and local tau presence
Ziadlou, D., Wales, R., Chen, X., & Leung, H.-C. (2026) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2026.10.007
Metadata
- Authors
- Baker, S. L., Harrison, T. M., Maass, A., La Joie, R., & Jagust, W. J.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- University of California, Berkeley (US)
- German Center for Neurodegenerative Diseases (DE)
- Venue
- Journal of Nuclear Medicine
- Publisher
- Society of Nuclear Medicine
- Published
- 2019-03-15
- Volume
- 60
- Issue
- 10
- Pages
- 1444-1451
- ISSN
- 0161-5505 (ISSN-L)
- 2159-662X
- PMC
- PMC6785795
- OpenAlex
- W2921651552
- Cited by
- 132
- References
- 38
- Citations by year
- 2026: 19 · 2025: 13 · 2024: 18 · 2023: 16 · 2022: 20 · 2021: 19 · 2020: 22 · 2019: 5
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Nuclear Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- DZNE Pub (submittedVersion)
- Funders
- Biogen
- BioClinica
- National Institutes of Health (AG034570)
- Genentech
- National Institute on Aging (F32AG057107, R01AG034570)
- 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 › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- 18F-flortaucipir, off-target binding, tau PET, partial volume correction, 11C-Pittsburgh compound B, thalamus, putamen, choroid plexus, aging, Alzheimer's disease, signal-to-noise ratio, neurofibrillary tangles
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aniline Compounds, Brain, Brain Mapping, Carbolines, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Protein Binding, Thiazoles, Reproducibility of Results, Linear Models, Positron-Emission Tomography, Young Adult, Healthy Volunteers
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