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Longitudinal tau PET in ageing and Alzheimer’s disease
Open accessAbstract
See Hansson and Mormino (doi:10.1093/brain/awy065) for a scientific commentary on this article.Our objective was to compare different whole-brain and region-specific measurements of within-person change on serial tau PET and evaluate its utility for clinical trials. We studied 126 individuals: 59 cognitively unimpaired with normal amyloid, 37 cognitively unimpaired with abnormal amyloid, and 30 cognitively impaired with an amnestic phenotype and abnormal amyloid. All had baseline amyloid PET and two tau PET, MRI, and clinical assessments. We compared the topography across all cortical regions of interest of tau PET accumulation rates and the rates of four different whole-brain or region-specific meta-regions of interest among the three clinical groups. We computed sample size estimates for change in tau PET, cortical volume, and memory/mental status indices for use as outcome measures in clinical trials. The cognitively unimpaired normal amyloid group had no observable tau accumulation throughout the brain. Tau accumulation rates in cognitively unimpaired abnormal amyloid were low [0.006 standardized uptake value ratio (SUVR), 0.5%, per year] but greater than rates in the cognitively unimpaired normal amyloid group in the basal and mid-temporal, retrosplenial, posterior cingulate, and entorhinal regions of interest. Thus, the earliest elevation in accumulation rates was widespread and not confined to the entorhinal cortex. Tau accumulation rates in the cognitively impaired abnormal amyloid group were 0.053 SUVR (3%) per year and greater than rates in cognitively unimpaired abnormal amyloid in all cortical areas except medial temporal. Rates of accumulation in the four meta-regions of interest differed but only slightly from one another. Among all tau PET meta-regions of interest, sample size estimates were smallest for a temporal lobe composite within cognitively unimpaired abnormal amyloid and for the late Alzheimer's disease meta-region of interest within cognitively impaired abnormal amyloid. The ordering of the sample size estimates by outcome measure was MRI < tau PET < cognitive measures. At a group-wise level, observable rates of short-term serial tau accumulation were only seen in the presence of abnormal amyloid. As disease progressed to clinically symptomatic stages (cognitively impaired abnormal amyloid), observable rates of tau accumulation were seen uniformly throughout the brain providing evidence that tau does not accumulate in one area at a time or in start-stop, stepwise sequence. The information captured by rate measures in different meta-regions of interest, even those with little topographic overlap, was similar. The implication is that rate measurements from simple meta-regions of interest, without the need for Braak-like staging, may be sufficient to capture progressive within-person accumulation of pathologic tau. Tau PET SUVR measures should be an efficient outcome measure in disease-modifying clinical trials.
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“Longitudinal deposition in tau PET is associated with baseline levels tau and Aβ deposition is a necessary antecedent for spread of tau beyond the temporal lobe in AD [189, 190] (Fig. 3).”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [189]
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“Brain imaging has helped to improve the biological classification of AD by allowing proposed classifications based on pathology, like the ATN staging, to be applied in vivo and opened a new window of therapeutic intervention at preclinical stages.”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [189]
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“Longitudinal deposition in tau PET is associated with baseline levels tau and Aβ deposition is a necessary antecedent for spread of tau beyond the temporal lobe in AD [189, 190] (Fig. 3).”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [189]
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“Such imaging has also improved our understanding of the role of mixed pathologies in dementia [102, 175, 189, 247].”
From The use of neuroimaging techniques in the early and differential diagnosis of dementia (2023) · cites this paper as [189]
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“In contrast, cross-sectional and longitudinal human cohort studies of biomarkers support a scenario in which amyloid pathology (Aβ42 lowering in CSF, positive amyloid PET imaging) precedes tau pathology (tau-PET and phospho-Tau elevation in CSF) and then neurodegeneration 126-128 .”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [127]
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“Antemortem diagnosis also relies heavily on the presence of Aβ and tau, either as measured in the spinal fluid or imaged using positron emission tomography (PET) [7–10].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [7]
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Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
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
Self-citationNeuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 2×
“However, that fact that elevated rates in CU A + relative to CU A were not confined to the entorhinal cortex suggests that early tau accumulation may not be as spatially restricted as implied in Braak staging (Braak and Braak, 1991).”
BackgroundResultMild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Self-citationImaging 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
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
Self-citationThe antibody aducanumab reduces Aβ plaques in Alzheimer’s disease
Sevigny, J., Chiao, P., Bussière, T., Weinreb, P. H., Williams, L., Maier, M., Dunstan, R., Salloway, S., Chen, T., Ling, Y., et al. (2016) · Nature · doi:10.1038/nature19323 · Cited by 3,059
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
Propagation of Tau Pathology in a Model of Early Alzheimer's Disease
de Calignon, A., Polydoro, M., Suárez-Calvet, M., William, C., Adamowicz, D. H., Kopeikina, K. J., Pitstick, R., Sahara, N., Ashe, K. H., Carlson, G. A., et al. (2012) · Neuron · doi:10.1016/j.neuron.2011.11.033 · Cited by 1,427
The Centiloid Project: standardizing quantitative amyloid plaque estimation by PET
Klunk, W. E., Koeppe, R. A., Price, J. C., Benzinger, T. L., Devous, M. D., Jagust, W. J., Johnson, K. A., Mathis, C. A., Minhas, D., Pontecorvo, M. J., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.07.003 · Cited by 1,348
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
Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease
Ossenkoppele, R., Schonhaut, D. R., Schöll, M., Lockhart, S. N., Ayakta, N., Baker, S. L., O’Neil, J. P., Janabi, M., Lazaris, A., Cantwell, A., et al. (2016) · Brain · doi:10.1093/brain/aww027 · Cited by 1,185
Trans-Synaptic Spread of Tau Pathology In Vivo
Liu, L., Drouet, V., Wu, J., Witter, M. P., Small, S. A., Clelland, C. L. T., & Duff, K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031302 · Cited by 994
Tau 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
The neuropathology of probable Alzheimer disease and mild cognitive impairment
Schneider, J. A., Arvanitakis, Z., Leurgans, S. E., & Bennett, D. A. (2009) · Annals of Neurology · doi:10.1002/ana.21706 · Cited by 935
Defining imaging biomarker cut points for brain aging and Alzheimer's disease
Jack, C. R., Wiste, H. J., Weigand, S. D., Therneau, T. M., Lowe, V. J., Knopman, D. S., Gunter, J. L., Senjem, M. L., Jones, D. T., Kantarci, K., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.08.005 · Cited by 931
Self-citationRoberts, R. O., Geda, Y. E., Knopman, D. S., Cha, R. H., Pankratz, V. S., Boeve, B. F., Ivnik, R. J., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2008) · Neuroepidemiology · doi:10.1159/000115751 · Cited by 797
Self-citationThe A4 Study: Stopping AD Before Symptoms Begin?
Sperling, R. A., Rentz, D. M., Johnson, K. A., Karlawish, J. H., Donohue, M., Salmon, D. P., & Aisen, P. S. S. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007941 · Cited by 778
Tau 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
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
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
Comparison of multiple tau-PET measures as biomarkers in aging and Alzheimer's disease
Maass, A., Landau, S., Baker, S. L., Horng, A., Lockhart, S. N., La Joie, R., Rabinovici, G. D., & Jagust, W. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.05.058 · Cited by 462
Neuropathologic Substrate of Mild Cognitive Impairment
Markesbery, W. R., Schmitt, F. A., Kryscio, R. J., Davis, D. G., Smith, C. D., & Wekstein, D. R. (2006) · Archives of Neurology · doi:10.1001/archneur.63.1.38 · Cited by 460
Longitudinal Change in CSF Biomarkers in Autosomal-Dominant Alzheimer’s Disease
Fagan, A. M., Xiong, C., Jasielec, M. S., Bateman, R. J., Goate, A. M., Benzinger, T. L. S., Ghetti, B., Martins, R. N., Masters, C. L., Mayeux, R., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3007901 · Cited by 434
Schwarz, A. J., Yu, P., Miller, B. B., Shcherbinin, S., Dickson, J., Navitsky, M., Joshi, A. D., Devous, M. D., & Mintun, M. S. (2016) · Brain · doi:10.1093/brain/aww023 · Cited by 425
Nelson, P. T., Head, E., Schmitt, F. A., Davis, P. R., Neltner, J. H., Jicha, G. A., Abner, E. L., Smith, C. D., Van Eldik, L. J., Kryscio, R. J., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0826-y · Cited by 365
Landau, S. M., Fero, A., Baker, S. L., Koeppe, R., Mintun, M., Chen, K., Reiman, E. M., & Jagust, W. J. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.148981 · Cited by 364
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
Fox, N. C., Cousens, S., Scahill, R. I., Harvey, R. J., & Rossor, M. N. (2000) · Archives of Neurology · doi:10.1001/archneur.57.3.339 · Cited by 356
The Short Test of Mental Status
Kokmen, E. (1991) · Archives of Neurology · doi:10.1001/archneur.1991.00530190071018 · Cited by 338
Correction of PET Data for Partial Volume Effects in Human Cerebral Cortex by MR Imaging
MELTZER, C. C., Leal, J. P., Mayberg, H. S., Wagner, H. N., & Frost, J. J. (1990) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199007000-00011 · Cited by 329
Widespread brain tau and its association with ageing, Braak stage and Alzheimer’s dementia
Lowe, V. J., Wiste, H. J., Senjem, M. L., Weigand, S. D., Therneau, T. M., Boeve, B. F., Josephs, K. A., Fang, P., Pandey, M. K., Murray, M. E., et al. (2017) · Brain · doi:10.1093/brain/awx320 · Cited by 311
Self-citationWang, L. Y., Benzinger, T. L. S., Su, Y., Christensen, J. J., Friedrichsen, K. A., Aldea, P., McConathy, J., Cairns, N. J., Fagan, A. M., Morris, J. C., et al. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2078 · Cited by 301
Xia, C., Makaretz, S. J., Caso, C., McGinnis, S. M., Gomperts, S. N., Sepulcre, J., Gómez‐Isla, T., Hyman, B. T., Schultz, A. P., Vasdev, N., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2016.5755 · Cited by 288
Tau, amyloid, and cascading network failure across the Alzheimer's disease spectrum
Jones, D. T., Graff‐Radford, J., Lowe, V. J., Wiste, H. J., Gunter, J. L., Senjem, M. L., Botha, H., Kantarci, K., Boeve, B. F., Knopman, D. S., et al. (2017) · Cortex · doi:10.1016/j.cortex.2017.09.018 · Cited by 239
Self-citationGordon, B. A., Friedrichsen, K., Brier, M., Blazey, T., Su, Y., Christensen, J., Aldea, P., McConathy, J., Holtzman, D. M., Cairns, N. J., et al. (2016) · Brain · doi:10.1093/brain/aww139 · Cited by 184
Distinct 18F-AV-1451 tau PET retention patterns in early- and late-onset Alzheimer’s disease
Schöll, M., Ossenkoppele, R., Strandberg, O., Palmqvist, S., study, T. S. B., Jögi, J., Ohlsson, T., Smith, R., & Hansson, O. (2017) · Brain · doi:10.1093/brain/awx171 · Cited by 180
AV-1451 PET imaging of tau pathology in preclinical Alzheimer disease: Defining a summary measure
Mishra, S., Gordon, B. A., Su, Y., Christensen, J. J., Friedrichsen, K. A., Jackson, K., Hornbeck, R. C., Balota, D. A., Cairns, N. J., Morris, J. C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.050 · Cited by 178
Ecology of the Aging Human Brain
Sonnen, J. A. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.157 · Cited by 174 · cited 2×
“…are more likely to have comorbid non-Alzheimer’s disease brain pathological change (Markesbery et al., 2006; Schneider et al., 2009; Nelson et al., 2011; Sonnen et al., 2011) than younger individuals and therefore require less pathological tau to produce a similar level of cognitive impairment.”
BackgroundBuckley, R. F., Hanseeuw, B., Schultz, A. P., Vannini, P., Aghjayan, S. L., Properzi, M. J., Jackson, J. D., Mormino, E. C., Rentz, D. M., Sperling, R. A., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.2216 · Cited by 173
Chen, K., Roontiva, A., Thiyyagura, P., Lee, W., Liu, X., Ayutyanont, N., Protas, H. D., Luo, J., Bauer, R. J., III, Reschke, C., et al. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.149732 · Cited by 161
Marks, S. M., Lockhart, S. N., Baker, S. L., & Jagust, W. J. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3769-16.2017 · Cited by 144
Reference Tissue–Based Kinetic Evaluation of 18F-AV-1451 for Tau Imaging
Baker, S. L., Lockhart, S. N., Price, J. C., He, M., Huesman, R. H., Schonhaut, D. R., Faria, J., Rabinovici, G. D., & Jagust, W. J. (2016) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.175273 · Cited by 118
Chiotis, K., Saint‐Aubert, L., Rodriguez‐Vieitez, E., Leuzy, A., Almkvist, O., Savitcheva, I., Jonasson, M., Lubberink, M., Wall, A., Antoni, G., et al. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.108 · Cited by 112
Temporal T807 binding correlates with CSF tau and phospho-tau in normal elderly
Chhatwal, J. P., Schultz, A. P., Marshall, G. A., Boot, B., Gomez-Isla, T., Dumurgier, J., LaPoint, M., Scherzer, C., Roe, A. D., Hyman, B. T., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000003050 · Cited by 106
Flortaucipir F 18 quantitation using parametric estimation of reference signal intensity.
Southekal, S., Devous, M. D., Kennedy, I., Navitsky, M., Lu, M., Joshi, A. D., Pontecorvo, M. J., & Mintun, M. A. (2018) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.200006 · Cited by 92
Schwarz, C. G., Senjem, M. L., Gunter, J. L., Tosakulwong, N., Weigand, S. D., Kemp, B. J., Spychalla, A. J., Vemuri, P., Petersen, R. C., Lowe, V. J., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.056 · Cited by 83
Self-citationHierarchical Organization of Tau and Amyloid Deposits in the Cerebral Cortex
Sepulcre, J., Grothe, M. J., Sabuncu, M., Chhatwal, J., Schultz, A. P., Hanseeuw, B., El Fakhri, G., Sperling, R., & Johnson, K. A. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.0263 · Cited by 73
Tau PET imaging predicts cognition in atypical variants of Alzheimer's disease
Phillips, J. S., Das, S. R., McMillan, C. T., Irwin, D. J., Roll, E. E., Da Re, F., Nasrallah, I. M., Wolk, D. A., & Grossman, M. (2018) · Human Brain Mapping · doi:10.1002/hbm.23874 · Cited by 68
Koychev, I. G., on behalf of the Deep and Frequent Phenotyping study team (http://www.dementiastudy.co.uk/), Gunn, R. N., Firouzian, A., Lawson, J., Zamboni, G., Ridha, B. H., Sahakian, B. J., Rowe, J. B., Thomas, A. J., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170129 · Cited by 67
18 F-Flortaucipir PET/MRI Correlations in Nonamnestic and Amnestic Variants of Alzheimer Disease
Nasrallah, I. M., Chen, Y. J., Hsieh, M.-K., Phillips, J. S., Ternes, K., Stockbower, G. E., Sheline, Y., McMillan, C. T., Grossman, M., & Wolk, D. A. (2018) · Journal of Nuclear Medicine · doi:10.2967/jnumed.117.194282 · Cited by 60
Vemuri, P., Senjem, M. L., Gunter, J. L., Lundt, E. S., Tosakulwong, N., Weigand, S. D., Borowski, B., Bernstein, M. A., Zuk, S. M., Lowe, V. J., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.026 · Cited by 45
Self-citationShidahara, M., Thomas, B. A., Okamura, N., Ibaraki, M., Matsubara, K., Oyama, S., Ishikawa, Y., Watanuki, S., Iwata, R., Furumoto, S., et al. (2017) · Annals of Nuclear Medicine · doi:10.1007/s12149-017-1185-0 · Cited by 43
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Research works printed but not linked: 3
- Bejanin, Do neurodegeneration or amyloid pathology contribute to the relationship between AV-1451 and cognitive symptoms in Alzhimer's disease?, 252
- La Joie, Relationships between AV1451-PET and CSF biomarkers in a heterogeneous clinical sample, 258
- Lowe, 2018, Widespread brain Tau and its association with aging, braak stage, and Alzheimer’s dementia, Brain, 147, 271, 10.1093/brain/awx320 · DOI
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Alzheimer Disease: An Update on Pathobiology and Treatment Strategies
Long, J. M., & Holtzman, D. M. (2019) · Cell · doi:10.1016/j.cell.2019.09.001 · Cited by 3,204
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Metadata
- Authors
- 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., Jones, D. T., Graff-Radford, J., Kantarci, K., Roberts, R. O., Mielke, M. M., Machulda, M. M., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- Department of Neurology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
- Corresponding author
- Jack, Clifford R
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-03-12
- Volume
- 141
- Issue
- 5
- Pages
- 1517-1528
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- PMC
- PMC5917767
- OpenAlex
- W2791135917
- Cited by
- 452
- References
- 54
- Citations by year
- 2026: 36 · 2025: 56 · 2024: 61 · 2023: 49 · 2022: 55 · 2021: 75 · 2020: 56 · 2019: 46 · 2018: 18
- FWCI
- 37.75
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Brain (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- NIH (R01 AG011378, R01 AG041851, U01 AG006786, R01 AG034676, R01 NS097495, P50 AG016574)
- 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
- tau PET, Alzheimer's disease, amyloid PET, within-person change, sample size determination, clinical trial outcome measures, amyloid-beta, entorhinal cortex, temporal lobe, cognitive impairment, cortical volume, memory decline, brain atrophy
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Psychiatric Status Rating Scales, tau Proteins, Positron-Emission Tomography, Cognitive Dysfunction
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