The DOI matches its Crossref record; 40 of the 41 references it cites were found in a registry or an index.
Early and protective microglial activation in Alzheimer’s disease: a prospective study using18F-DPA-714 PET imaging
Open accessAbstract
While emerging evidence suggests that neuroinflammation plays a crucial role in Alzheimer's disease, the impact of the microglia response in Alzheimer's disease remains a matter of debate. We aimed to study microglial activation in early Alzheimer's disease and its impact on clinical progression using a second-generation 18-kDa translocator protein positron emission tomography radiotracer together with amyloid imaging using Pittsburgh compound B positron emission tomography. We enrolled 96 subjects, 64 patients with Alzheimer's disease and 32 controls, from the IMABio3 study, who had both (11)C-Pittsburgh compound B and (18)F-DPA-714 positron emission tomography imaging. Patients with Alzheimer's disease were classified as prodromal Alzheimer's disease (n = 38) and Alzheimer's disease dementia (n = 26). Translocator protein-binding was measured using a simple ratio method with cerebellar grey matter as reference tissue, taking into account regional atrophy. Images were analysed at the regional (volume of interest) and at the voxel level. Translocator protein genotyping allowed the classification of all subjects in high, mixed and low affinity binders. Thirty high+mixed affinity binders patients with Alzheimer's disease were dichotomized into slow decliners (n = 10) or fast decliners (n = 20) after 2 years of follow-up. All patients with Alzheimer's disease had an amyloid positive Pittsburgh compound B positron emission tomography. Among controls, eight had positive amyloid scans (n = 6 high+mixed affinity binders), defined as amyloidosis controls, and were analysed separately. By both volumes of interest and voxel-wise comparison, 18-kDa translocator protein-binding was higher in high affinity binders, mixed affinity binders and high+mixed affinity binders Alzheimer's disease groups compared to controls, especially at the prodromal stage, involving the temporo-parietal cortex. Translocator protein-binding was positively correlated with Mini-Mental State Examination scores and grey matter volume, as well as with Pittsburgh compound B binding. Amyloidosis controls displayed higher translocator protein-binding than controls, especially in the frontal cortex. We found higher translocator protein-binding in slow decliners than fast decliners, with no difference in Pittsburgh compound B binding. Microglial activation appears at the prodromal and possibly at the preclinical stage of Alzheimer's disease, and seems to play a protective role in the clinical progression of the disease at these early stages. The extent of microglial activation appears to differ between patients, and could explain the overlap in translocator protein binding values between patients with Alzheimer's disease and amyloidosis controls.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Aβ itself acts as a proinflammatory agent, activating many inflammatory components.”
From Clinical trials of new drugs for Alzheimer disease (2020) · cites this paper as [26]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In the early stages of AD, initial microglial activation may serve a protective role (anti-neuroinflammatory), whereby it tries to clear the amyloid and release nerve growth factors. However, when Aβ or other toxic products over-accumulate, proinflammatory phenotypes are activated, which damage the neurons [26].”
From Clinical trials of new drugs for Alzheimer disease (2020) · cites this paper as [26]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Furthermore, the brains of patients with AD exhibited evidence of sustained inflammation.”
From Clinical trials of new drugs for Alzheimer disease (2020) · cites this paper as [26]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“[18F]DPA-714 was extensively studied in preclinical and clinical models [58–61], as a biomarker of neuroinflammation in various human CNS disorders [58].”
From Neuron secrete exosomes containing miR-9-5p to promote polarization of M1 microglia in depression (2022) · cites this paper as [58]
Experimental — accuracy not yet measuredIn the citing paper
“Furthermore, early neuroinflammation has been shown to be an adaptive mechanism by microglia that protects against AD pathology by reducing the levels of Aβ and tau.118–120”
From Microbiota–gut–brain axis and its therapeutic applications in neurodegenerative diseases (2024) · cites this paper as [120]
In the citing paper
“In vivo imaging shows that microglia activation precedes the onset of AD (100) and is paralleled by increased levels of inflammatory markers in the cerebrospinal fluid (101)”
From Microglia in Alzheimer's disease (2017) · cites this paper as [100]
In the citing paper
“in MCI, microglial activation was positively correlated with cognition and gray matter volume, suggesting that microglial activation plays a protective role in the early phase of clinically apparent disease (100).”
From Microglia in Alzheimer's disease (2017) · cites this paper as [100]
In the citing paper
“Of relevance, PET studies have indicated increased microglia activation in the precuneus and parietal cortex in AD.47,48”
From CSF biomarkers of neuroinflammation and cerebrovascular dysfunction in early Alzheimer disease (2018) · cites this paper as [48]
In the citing paper
“Another study that divided AD subjects into fast decliners and slow decliners measured a higher TSPO signal in the brains of slow decliners, consistent with a protective role for microglial activation even in stages of AD when dementia is evident (Hamelin et al., 2016).”
From Microglia in Alzheimer’s disease (2018) · cites this paper as Hamelin et al., 2016
In the citing paper
“This is consistent with the finding that early microglial activation in response to amyloid plaques, as assessed by in vivo microglial imaging studies, is correlated with increased grey matter volume and reduced rate of cognitive decline46,47.”
In the citing paper
“Methods to image microglia exist and are being used to test the effect of treatments on microglia205–210.”
From Microglial signatures and their role in health and disease (2018) · cites this paper as [209]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226
TREM2 Variants in Alzheimer's Disease
Guerreiro, R., Wojtas, A., Bras, J., Carrasquillo, M., Rogaeva, E., Majounie, E., Cruchaga, C., Sassi, C., Kauwe, J. S. K., Younkin, S., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1211851 · Cited by 3,020
Revising the definition of Alzheimer's disease: a new lexicon
Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., DeKosky, S. T., Barberger-Gateau, P., Delacourte, A., Frisoni, G., Fox, N. C., Galasko, D., et al. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(10)70223-4 · Cited by 1,869
Self-citationIn-vivo measurement of activated microglia in dementia
Cagnin, A., Brooks, D. J., Kennedy, A. M., Gunn, R. N., Myers, R., Turkheimer, F. E., Jones, T., & Banati, R. B. (2001) · The Lancet · doi:10.1016/s0140-6736(01)05625-2 · Cited by 1,054
Alzheimer’s Disease Risk Gene CD33 Inhibits Microglial Uptake of Amyloid Beta
Griciuc, A., Serrano-Pozo, A., Parrado, A. R., Lesinski, A. N., Asselin, C. N., Mullin, K., Hooli, B., Choi, S. H., Hyman, B. T., & Tanzi, R. E. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.014 · Cited by 1,004
Microglia: Scapegoat, saboteur, or something else?
Aguzzi, A., Barres, B. A., & Bennett, M. L. (2013) · Science · doi:10.1126/science.1227901 · Cited by 836
The peripheral benzodiazepine binding site in the brain in multiple sclerosis
Banati, R. B., Newcombe, J., Gunn, R. N., Cagnin, A., Turkheimer, F., Heppner, F., Price, G., Wegner, F., Giovannoni, G., Miller, D. H., et al. (2000) · Brain · doi:10.1093/brain/123.11.2321 · Cited by 661
Conversion of amyloid positive and negative MCI to AD over 3 years
Okello, A., Koivunen, J., Edison, P., Archer, H. A., Turkheimer, F., Någren, K., Bullock, R. M., Walker, Z., Kennedy, A. M., Fox, N. C., et al. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b23564 · Cited by 537
Lopresti, B. J., Klunk, W. E., Mathis, C. A., Hoge, J. A., Ziolko, S. K., Lu, X., MELTZER, C. C., Schimmel, K., Tsopelas, N. D., DeKosky, S. T., et al. (2005) · PubMed · Cited by 536
Edison, P., Archer, H. A., Gerhard, A., Hinz, R., Pavese, N., Turkheimer, F. E., Hammers, A., Tai, Y. F., Fox, N., Kennedy, A., et al. (2008) · Neurobiology of Disease · doi:10.1016/j.nbd.2008.08.001 · Cited by 513
Flagged first, then by citations
1 of the 41 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 401–500 of 522
Application of Metal‐Organic Frameworks in Imaging‐Guided Therapy
Zhu, M. Z., Ke, M., Zhao, W., Wu, Q., Li, S., Li, H., & Xia, F. (2023) · Analysis & Sensing · doi:10.1002/anse.202300052 · Cited by 4
Vodovar, D., Aboab, J., Silva, S., Tournier, N., & pour la Commission de recherche translationnelle de la SRLF (2019) · Médecine Intensive Réanimation · doi:10.3166/rea-2019-0092 · Cited by 2
Neuroimaging in the Perioperative Neurocognitive Disorders
Ibinson, J. W. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316402504.014 · Cited by 1
TSPO’nun (18 kDa Translokatör Protein) Yapısı, İşlevi ve Patolojik Süreçlerdeki Rolü
Elma, Y., & Can, E. Y. (2024) · Medical Journal of Western Black Sea · doi:10.29058/mjwbs.1477979 · Cited by 1
Myers, S. J., Medapati, M. R., Allman, B. L., Pasternak, S., Whitehead, S. N., & Roseborough, A. D. (2026) · Brain Behavior & Immunity - Health · doi:10.1016/j.bbih.2026.101261 · Cited by 1
Mao, Y., Chen, L., Liu, J. Y., Guo, Z., Lu, P. L., & Chen, Y. X. (2025) · Neuroscience Letters · doi:10.1016/j.neulet.2025.138337 · Cited by 1
Jorge, L., Canário, N., Martins, R., Abrunhosa, A., Santana, I. J., & Castelo-Branco, M. S. (2025) · Neuroimage Reports · doi:10.1016/j.ynirp.2025.100305 · Cited by 1
Zhang, J., Wu, L., Zhang, G., Wang, Y., He, W., Chen, L., Zheng, Y., Nong, K., Ma, J., Chen, T., et al. (2025) · Environment & Health · doi:10.1021/envhealth.5c00478 · Cited by 1
Lim, J. Y., Lee, J. E., Lee, M., Shim, H., Park, S. I., Park, S. A., Jeun, S.-S., Wang, S.-M., Kim, S., Yang, S. H., et al. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00539-3 · Cited by 1
Zhang, Y., Qian, X., Zhuang, H., Zhang, W., Hu, J., Zhao, Y., Li, Y., Jin, W., Xu, C., Meng, Z., et al. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71229 · Cited by 1
Lao, Z.-K., & Xu, N. (2026) · Translational Neurodegeneration · doi:10.1186/s40035-026-00546-4 · Cited by 1
Gonzalez, C. E., Schurman, C. A., Wilson, K. A., Schilling, B., Ellerby, L., & Tang, S. Y. (2026) · JOR Spine · doi:10.1002/jsp2.70171 · Cited by 1
Multiscale Approximations to Understand the Complex Role of Microglia in Alzheimer's Disease
Martínez-Tazo, P., Mejias‐Ortega, M., López-López, V., Bhojwani-Cabrera, A. M., Saxton, E., Canals, S., Hardingham, G. E., Gutiérrez, A., López‐Atalaya, J. P., & Santis, S. D. (2026) · European Journal of Neuroscience · doi:10.1111/ejn.70536 · Cited by 1
Cell-type-specific APOE4 cascade across the Alzheimer’s disease continuum
Shostak, D. M., Liang, Z., & Huang, Y. (2026) · Neuron · doi:10.1016/j.neuron.2026.04.024 · Cited by 1
Advances in the treatment of Alzheimer’s disease
Goceroglu, R. T., & Hacımüftüoğlu, A. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1819165 · Cited by 1
Saji, R., Uchio, R., Asada, K., Okuda-Hanafusa, C., Tokaji, A., Muroyama, K., Murosaki, S., Yamamoto, Y., Hirose, Y., & Kawasaki, K. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1866285 · Cited by 1
Lei, Y., Liu, L., & Tang, Y. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103287 · Cited by 1
Microglia in brain aging: An overview of recent basic science and clinical research developments
Fan, H., Zhang, M., Wen, J., Wang, S., Yuan, M., Sun, H., Shu, L., Xu, Y., Pu, Y., & Cai, Z. (2023) · Journal of Biomedical Research · doi:10.7555/jbr.36.20220220 · Cited by 1
Gouilly, D., Vrillon, A., Bertrand, E., Goubeaud, M., Catalá, H., Germain, J., Ainaoui, N., Rafiq, M., Nogueira, L., Mouton‐Liger, F., et al. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103626 · Cited by 2
Biomarkers used in Alzheimer's disease diagnosis
Mishra, S. K., Singh, R., Chang, H., Obaid, A. A., & Singh, S. K. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15540-6.00013-6 · Cited by 1
Wu, X., Yang, Q., Xie, Y., Xia, L., Li, J., An, W., & Lu, X. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251335891 · Cited by 1
Risen, S. J., Wahl, D., LaRocca, T. J., & Moreno, J. A. (2025) · Neuroglia · doi:10.3390/neuroglia6020022 · Cited by 1
Al-Hroub, H., Musawi, H. A. M. A., Abdelrahman, A., Namasivayam, V., Corbel, M., Petit, F., Aksiyote, G., Beau, F., Jan, C., Bemelmans, A., et al. (2025) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c00213 · Cited by 1
Adair, L., Han, R., Fulton, R. E., Figueroa, A. G., & Patel, M. (2025) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/j.jpet.2025.103614 · Cited by 1
Ogata, A., Kimura, Y., Yasuno, F., Ouchi, Y., & Fujita, M. (2019) · Springer eBooks · doi:10.1007/978-981-15-0810-3_8 · Cited by 1
Ansart, M., Epelbaum, S., Houot, M., Nédelec, T., Lekens, B., Gantzer, L., Dormont, D., & Durrleman, S. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12210
Subtle postoperative cognitive disorder in preclinical Alzheimer's disease
Glasman, P., Houot, M., Migliaccio, R., Bombois, S., Gagliardi, G. P., Cacciamani, F., Habert, M. O., Dubois, B., & Epelbaum, S. (2022) · Experimental Gerontology · doi:10.1016/j.exger.2022.111715 · Cited by 1
Self-citationCopolymer-1 as a potential therapy for mild cognitive impairment
Abraham, D. I., Salazar, F. E., & Ibarra, A. (2022) · Brain and Cognition · doi:10.1016/j.bandc.2022.105892 · Cited by 1
How to Prevent and/or Revert Alzheimer’s Disease Continuum During Preclinical Phases
Ávila‐Villanueva, M., Dolado, A. M., & Fernández‐Blázquez, M. A. (2023) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr220100 · Cited by 4
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.16.464454 · Cited by 1
Ye, P., Bi, L., Yang, M., Qiu, Y., Huang, G., Liu, Y., Hou, Y., Li, Z., Tong, H. H. Y., Cui, M., et al. (2023) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.3c00080 · Cited by 1
RetractedCellular Underpinnings of the Selective Vulnerability of Tauopathic Insults in Alzheimer's DiseasePreprint
Torok, J., Maia, P. D., Anand, C., & Raj, A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4687645 · Cited by 1
Chu, M., Wang, J., Yarbro, J. M., Chen, P.-C., Shrestha, H. K., Sun, H., Niu, M., Wang, Z., Harvey, S., Wu, Z., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.02.703320 · Cited by 1
Gerstenmayer, M. (2018) · theses.fr (ABES) · doi:10.70675/5aa7fd45z24caz43e9zaaadzeb1ca21e8661 · Cited by 1
Special Section Guest Editorial: Integrated Optics
Righini, G. C. (2011) · Optical Engineering · doi:10.1117/1.3599859
Friel, H., & Frautschy, S. A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-812259-4.00006-0
Imagerie moléculaire de demain : quels biomarqueurs et pour quelle maladie ?
Payoux, P. (2018) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/s0001-4079(19)30218-3
Huang, Y. H., Jia, H., & Bao, W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816475-4.00013-6
Huang, C., Ding, F., Hu, Z., Wang, M., Peng, W., Li, W. S., Wang, C., & Tang, D. (2020) · doi:10.21203/rs.3.rs-39569/v1
Ocak, Ö., & Şahi̇n, E. M. (2021) · Turkish Journal of Family Medicine & Primary Care · doi:10.21763/tjfmpc.890372
Role of Inflammation in Lewy Body Dementia
Surendranathan, A., & O'Brien, J. T. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108539623.011
Regenerative Medicine (Biological) Therapies for Acute Muscle Injury
Lauf, K., van der Made, A. D., Reurink, G., Tol, J. L., & Kerkhoffs, G. M. M. J. (2021) · Springer eBooks · doi:10.1007/978-3-030-60216-1_17
Huang, C., Ding, F., Hao, Y., Hu, Z., Wang, C., Li, W., Wang, M., Peng, W., & Tang, D. (2020) · doi:10.21203/rs.3.rs-39569/v2
Therapeutic and immunomodulatory functions of the translocator protein in Alzheimer's disease
Fairley, L. H. (2022) · DR-NTU (Nanyang Technological University) · doi:10.32657/10356/160865
APOE ε4 gene dose effect on imaging and blood biomarkers of glial reactivity and β-amyloid pathologyPreprint
Snellman, A., Ekblad, L. L., Tuisku, J., Koivumäki, M., Ashton, N. J., Lantero‐Rodriguez, J., Karikari, T. K., Helin, S., Bucci, M., Löyttyniemi, E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.19.508484
Klinischer Stellenwert der Bildgebung der Neuroinflammation
Albert, N. L., & Brendel, M. (2022) · Angewandte Nuklearmedizin · doi:10.1055/a-1712-6220
Fagiani, F., Fülöp, T., Govoni, S. M., & Lanni, C. (2023) · Biomedicines · doi:10.3390/biomedicines11020484
The ER chaperone, BIP protects Microglial cells from ER stress-mediated Apoptosis in HyperglycemiaPreprint
James, A. W., Bahader, G. A., Albassan, M., & Shah, Z. A. (2023) · Research Square · doi:10.21203/rs.3.rs-2626070/v1
Positron emission tomography imaging of neuroinflammation
(2023) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-323-91771-1.00007-1
Cellular underpinnings of the selective vulnerability to tauopathic insults in Alzheimer’s diseasePreprint
Torok, J., Maia, P. D., Anand, C., & Raj, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.06.548027 · Cited by 2
Zeydan, B., & Kantarci, K. (2023) · Springer eBooks · doi:10.1007/978-3-031-35098-6_1 · Cited by 2
Wang, K., Zan, S., Xu, J., Sun, W., Li, C., Zhang, W., Ni, D., Cheng, R., Li, L., Yu, Z., et al. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4588950
Eysert, F., Kinoshita, P. F., Lagarde, J., Lacas‐Gervais, S., Xicota, L., Dorothée, G., Bottlaender, M., Checler, F., Potier, M., Sarazin, M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.21.570579
Self-citationPizzirusso, G., Preka, E., Goikolea, J., Aguilar-Ruiz, C., Rodriguez‐Rodriguez, P., Cabrera, G. V., Laterza, S., Latorre‐Leal, M., Eroli, F., Blomgren, K., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.14.584993
Lai, K. O., Tham, N., Fairley, L. H., Naik, R. R., Wang, Y., Langley, S. R., & Barron, A. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.19.598824
Parkinson’s Disease and Lewy Body Dementias
Olson, K. E., Mosley, R. L., & Gendelman, H. E. (2024) · Springer eBooks · doi:10.1007/978-3-031-68237-7_23
Pharmacochemical Strategies and Advances in Alzheimer's Disease Drug Development
Chen, J. (2025) · Highlights in Science Engineering and Technology · doi:10.54097/qbjryc26
Fluid and Imaging Markers of Glial Reactivity
Suárez‐Calvet, M. (2025) · Springer eBooks · doi:10.1007/978-3-031-80849-4_6
TSPO contributes to neuropathology and cognitive deficits in Alzheimer’s diseasePreprint
Ceyzériat, K., Badina, A. M., Abjean, L., Meyer, L., Bouteldja, F., Bałkota, M., Amossé, Q., Prudhomme, O., Middleton, R. J., Liu, G.-J., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7008246/v1
Formaldehyde, Neuroinflammation, and Cognitive Impairment
Kang, N., Liu, Y., & He, R. (2025) · Springer eBooks · doi:10.1007/978-981-96-7281-3_12
Vidal, B., Badina, A. M., Dorogan, V., Schirmbeck, G. H., Sanches, E. F., Ceyzériat, K., Knoop, M. S., Abjean, L., Tsartsalis, S., Sizonenko, S. V., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.11.687784
Neuroinflammation PET and long-term cognition and survival in symptomatic Alzheimer’s disease
Rikken, R. M., Yaqub, M. M., Coomans, E. M., Dicks, E., van der Vlies, A. E., Windhorst, A. D., Boellaard, R., Pijnenburg, Y. A. L., Vijverberg, E. G. B., & van de Giessen, E. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01915-3
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555684
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555720
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555696
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555693
Franzmeier, N., Suárez‐Calvet, M., Frontzkowski, L. K., Moore, A. M., Hohman, T. J., Morenas‐Rodríguez, E., Nuscher, B., Shaw, L. M. J., Trojanowski, J. Q., Dichgans, M., et al. (2020) · Figshare · doi:10.6084/m9.figshare.13071124
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555714
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555717
Eysert, F., Kinoshita, P. F., Lagarde, J., Lacas‐Gervais, S., Xicota, L., Dorothée, G., Bottlaender, M., Checler, F., Potier, M., Sarazin, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26731375
Self-citationKim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555687
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555690
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555702
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555681
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555672
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555708
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555675
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555678
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555699
Sullivan, M. A., Lane, S. D., McKenzie, A. D. J., Ball, S. R., Sunde, M., Neely, G. G., Moreno, C. L., Maximova, A., Werry, E. L., & Kassiou, M. (2024) · Figshare · doi:10.6084/m9.figshare.24946342
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555723
Lin, Y.-W., Fang, C.-H., Liang, Y.-J., Yang, C.-Y., Kuo, W.-T., & Lin, F.-H. (2023) · Figshare · doi:10.6084/m9.figshare.24257424
Snellman, A., Ekblad, L. L., Tuisku, J., Koivumäki, M., Ashton, N. J., Lantero‐Rodriguez, J., Karikari, T. K., Helin, S., Bucci, M., Löyttyniemi, E., et al. (2023) · Figshare · doi:10.6084/m9.figshare.22620676
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555705
Kim, D. W., Tu, K. J., Wei, A., Lau, A., Gonzalez-Gil, A., Cao, T., Braunstein, K. E., Ling, J. P., Troncoso, J. C., Wong, P. C., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26555711
Klassen, P. C., Alexudis, C., Klose, V., José, N. G. D. S., Huss, A. M., Bachhuber, F., Soylu, Ö., Fazeli, B., Erhart, D. K., Laible, M., et al. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70240
Souchet, B. (2018) · theses.fr (ABES) · doi:10.70675/5510ef76zecf1z41f2z9496z015aa6a093be
Vautheny, A. (2019) · theses.fr (ABES) · doi:10.70675/1812d71aze8d9z48d6z87d1z5a23a4e81953
Exposition aux endotoxines : influence de l'alimentation et rôle dans le vieillissement cognitif
André, P. (2020) · theses.fr (ABES) · doi:10.70675/ea1360c2zd962z46f5zaabfzcbc15c0efc25
Étude moléculaire de l'inflammation chronique dans la maladie de Parkinson
Compagnion, A. (2019) · theses.fr (ABES) · doi:10.70675/04ca138dz3131z4e24z884czbba2f7954a99
Hétérogénéité de la réactivité astrocytaire dans la maladie d'Alzheimer
Guillemaud, O. (2020) · theses.fr (ABES) · doi:10.70675/038d98c5z55ccz4754z9af9z417e3826d282
Lam, S. (2021) · theses.fr (ABES) · doi:10.70675/60b353ffz56fcz41a2z9e53zf0d9ac078167 · Cited by 1
Role of T-cell immunity in the pathophysiology of Alzheimer’s disease and other Tauopathies
Matta, K. (2024) · theses.fr (ABES) · doi:10.70675/cea4fe5ez67c3z4445z92f7z39af62ba059b
Metadata
- Authors
- Hamelin, L., Lagarde, J., Dorothée, G., Leroy, C., Labit, M., Comley, R. A., de Souza, L. C., Corne, H., Dauphinot, L., Bertoux, M., Dubois, B., Gervais, P., Colliot, O., Potier, M. C., Bottlaender, M., Sarazin, M., & the Clinical IMABio3 team
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre d'Acquisition et de Traitement des Images (FR)
- F. Hoffmann-La Roche AG (CH)
- Assistance Publique – Hôpitaux de Paris (FR)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-03-15
- Volume
- 139
- Issue
- 4
- Pages
- 1252-1264
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2298656843
- Cited by
- 519
- References
- 41
- Citations by year
- 2026: 38 · 2025: 48 · 2024: 71 · 2023: 59 · 2022: 47 · 2021: 47 · 2020: 51 · 2019: 51 · 2018: 57 · 2017: 39 · 2016: 10
- FWCI
- 28.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Zenodo (CERN European Organization for Nuclear Research) (submittedVersion, cc-by)
- Funders
- European Commission (2007–2013, FP7 2007-2013, FP7/2007, 278850)
- Université Paris Descartes
- Topics
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, microglial activation, translocator protein (TSPO), [18F]DPA-714, neuroinflammation, prodromal Alzheimer's disease, amyloid imaging, Pittsburgh compound B, clinical progression, amyloidosis, gray matter volume, temporoparietal cortex, frontal cortex, cognitive decline
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Female, Fluorine Radioisotopes, Follow-Up Studies, Humans, Longitudinal Studies, Male, Middle Aged, Prospective Studies, Pyrazoles, Pyrimidines, Cohort Studies, Microglia, 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