The DOI matches its Crossref record; 213 of the 213 references it cites were found in a registry or an index.
Imaging the evolution and pathophysiology of Alzheimer disease
Open accessAbstract
Technologies for imaging the pathophysiology of Alzheimer disease (AD) now permit studies of the relationships between the two major proteins deposited in this disease - amyloid-β (Aβ) and tau - and their effects on measures of neurodegeneration and cognition in humans. Deposition of Aβ in the medial parietal cortex appears to be the first stage in the development of AD, although tau aggregates in the medial temporal lobe (MTL) precede Aβ deposition in cognitively healthy older people. Whether aggregation of tau in the MTL is the first stage in AD or a fairly benign phenomenon that may be transformed and spread in the presence of Aβ is a major unresolved question. Despite a strong link between Aβ and tau, the relationship between Aβ and neurodegeneration is weak; rather, it is tau that is associated with brain atrophy and hypometabolism, which, in turn, are related to cognition. Although there is support for an interaction between Aβ and tau resulting in neurodegeneration that leads to dementia, the unknown nature of this interaction, the strikingly different patterns of brain Aβ and tau deposition and the appearance of neurodegeneration in the absence of Aβ and tau are challenges to this model that ultimately must be explained.
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?
In the citing paper
“These and other studies 13,24,133,134 strongly support the concept of AD as being an amyloid-provoked, or facilitated, tauopathy, although there is also evidence that both pathologies act in synergy 135 .”
From The amyloid hypothesis in Alzheimer disease: new insights from new therapeutics (2022) · cites this paper as [13]
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
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
Sleep Drives Metabolite Clearance from the Adult Brain
Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., O’Donnell, J., Christensen, D. J., Nicholson, C., Iliff, J. J., et al. (2013) · Science · doi:10.1126/science.1241224 · Cited by 5,411
Classification of primary progressive aphasia and its variants
Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31821103e6 · Cited by 5,141
Imaging 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
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397
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-citationWhat is cognitive reserve? Theory and research application of the reserve concept
STERN, Y. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702813248 · Cited by 3,951
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
Cited by
Sorted by citations
Items 301–400 of 610
Microcurrent therapy as the nonpharmacological new protocol against Alzheimer’s disease
Kim, E. H., Lee, W. S., Lee, J. H., & Kwon, D. R. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1344072 · Cited by 10
Novel Development and Prospects in Pathogenesis, Diagnosis, and Therapy of Alzheimer’s Disease
Teng, Z. (2024) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-230130 · Cited by 10
Kwon, J., Choi, J. S., Lee, J.-J., Na, J., Sung, J., Lee, H., Lee, H. L., Lim, Y., & Choi, H. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.0c16000 · Cited by 10
Early brainstem [18F]THK5351 uptake is linked to cortical hyperexcitability in healthy aging
Egroo, M. V., Chylinski, D., Narbutas, J., Besson, G., Muto, V., Schmidt, C., Marzoli, D., Cardone, P., Vandeleene, N., Grignard, M., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.142514 · Cited by 13
Li, B., Zhao, A., Tian, T., & Yang, X. (2024) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14809 · Cited by 10
Protein kinases as therapeutic targets for Alzheimer’s disease: a brief review
Silva, I. M. F., Franco, G. D. R. R., Gontijo, V. S., & Viegas, C. (2024) · Exploration of Neuroprotective Therapy · doi:10.37349/ent.2024.00092 · Cited by 9
Therapeutic agents for Alzheimer’s disease: a critical appraisal
Weinstock, M. (2024) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2024.1484615 · Cited by 9
Chen, H., Zhang, M., Wei, M., Yu, X., Wang, Y., Yang, J., Li, R., Zhao, W., Wang, X., Zhang, S., et al. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07172-8 · Cited by 11
Zheng, Y., Yu, Y., Gao, L., Yu, M., Jiang, L., & Zhu, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-02468-z · Cited by 9
DiFilippo, A. H., Jonaitis, E. M., Ennis, G. E., McVea, A. K., McLachlan, M., Bettcher, B., Schulz, N., Pasquesi, M., Davenport‐Sis, N. J., Thor, Y., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70321 · Cited by 10
Serino, S., Stramba-Badiale, C., Magni, G., Castegnaro, A., Riva, G., & Tuena, C. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106379 · Cited by 10
Zhang, W., Lu, J., Zhao, Q., Zhang, X., Zhao, H., Bi, Y., Zhang, B., & Initiative, T. A. D. N. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.781938 · Cited by 9
Clinical heterogeneity of neuro-inflammatory PET profiles in early Alzheimer’s disease
Gouilly, D., Salabert, A., Bertrand, E., Goubeaud, M., Catalá, H., Germain, J., Ainaoui, N., Rafiq, M., Bénaiteau, M., Carlier, J., et al. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1189278 · Cited by 10
de Florès, R., Demeilliez-Servouin, S., Kuhn, E., Chauveau, L., Landeau, B., Delcroix, N., Gonneaud, J., Vivien, D., & Chételat, G. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106127 · Cited by 10
Özge, A., Ghouri, R., Öksüz, N., & Taşdelen, B. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1239995 · Cited by 9
The NAAG’ing Concerns of Modeling Human Alzheimer’s Disease in Mice
Hollinger, K. R., Alt, J., Rais, R., Kaplin, A. I., & Slusher, B. S. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181251 · Cited by 9
Chen, H., Dong, X., Wang, Y., Wang, K., Feng, G., Bai, T., Zhang, M., Gan, K., Peng, J.-J., Huang, W., et al. (2025) · Genome Medicine · doi:10.1186/s13073-025-01548-z · Cited by 11
The Adult Neurogenesis Theory of Alzheimer’s Disease
Abbate, C. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221279 · Cited by 11
Zhou, Y., Wei, L., Gao, S., Wang, J., & Hu, Z. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1209378 · Cited by 10
Advances in nanoprobes for molecular MRI of Alzheimer's disease
Parekh, P. A., Badachhape, A., Tanifum, E. A., Annapragada, A., & Ghaghada, K. B. (2024) · Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology · doi:10.1002/wnan.1946 · Cited by 9
A nonlinear meccano for Alzheimer's emergence by amyloid β-mediated glutamatergic hyperactivity
Bonifazi, G., Luchena, C., Gaminde‐Blasco, A., Ortiz-Sanz, C., Capetillo‐Zarate, E., Matute, C., Alberdi, E. M., & Pittà, M. D. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106473 · Cited by 9
Remote Associations Between Tau and Cortical Amyloid-β Are Stage-Dependent
Hojjati, S. H., Chiang, G. C.-Y., Butler, T., de Leon, M. J., Gupta, A. K., Li, Y., Sabuncu, M. R., Feiz, F., Nayak, S., Shteingart, J., et al. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-231362 · Cited by 9
Hybrid PET/MRI with Flutemetamol and FDG in Alzheimer's Disease Clinical Continuum
Atay, L. Ö., Saka, E., Akdemir, Ü. Ö., Yetim, E., Balcı, E., Arsava, E. M., & Topçuoğlu, M. A. (2023) · Current Alzheimer Research · doi:10.2174/0115672050243131230925034334 · Cited by 8
Lima, M. T. N. S., Boulanger, É., Tessier, F. J., & Takahashi, J. A. (2022) · Foods · doi:10.3390/foods11121676 · Cited by 8
Dahl, M. J., Mather, M., Düzel, S., Bodammer, N. C., Lindenberger, U., Kühn, S., & Werkle‐Bergner, M. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/332098 · Cited by 9
Increased Between-Network Connectivity: A Risk Factor for Tau Elevation and Disease Progression
Hojjati, S. H., Butler, T., Luchsinger, J., Benítez, R., de Leon, M. D., Nayak, S., Razlighi, Q., & Chiang, G. (2024) · Neuroscience Letters · doi:10.1016/j.neulet.2024.137943 · Cited by 7
Mapping amyloid beta predictors of entorhinal tau in preclinical Alzheimer's disease
Zamani, J., Vahid, A., Avelar‐Pereira, B., Gozdas, E., Hosseini, S. M. H., & Initiative, A. D. N. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14499 · Cited by 9
Molecular imaging of cardiovascular disease: Current status and future perspective
Nakahara, T., Fujimoto, S., & Jinzaki, M. (2025) · Journal of Cardiology · doi:10.1016/j.jjcc.2025.01.017 · Cited by 7
Akkol, E. K., Karatoprak, G. Ş., Dumlupınar, B., Açıkara, Ö. B., Arıcı, R., Yücel, Ç., Aynal, L. C., & Sobarzo‐Sánchez, E. (2025) · Molecules · doi:10.3390/molecules30091982 · Cited by 8
Rehman, Z.-U., Awang, M. K., Ali, G., Hamza, M., Ali, T. M., Ayaz, M., & Hijji, M. (2025) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2025.103714 · Cited by 8
Kim, M., Kwon, H., Sohn, S., Lee, W. J., Cho, K., & Kim, G. W. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251391820 · Cited by 12
Shi, Y., Li, Y., Ci, R., Yan, S., Tian, T., Zheng, N., Zhu, W., & Qin, Y. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01898-1 · Cited by 7
Benefits and Challenges of Rare Genetic Variation in Alzheimer’s Disease
Grozeva, D., Saad, S., Menzies, G. E., & Sims, R. (2019) · Current Genetic Medicine Reports · doi:10.1007/s40142-019-0161-5 · Cited by 8
Zhu, G., Bai, P., Wang, K., Mi, J., Yang, J. L., Hu, J., Ban, Y., Xu, R., Chen, R., Wang, C., et al. (2022) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.1080/14756366.2022.2073442 · Cited by 7
Imaging of Tauopathies with PET Ligands: State of the Art and Future Outlook
Conte, M., Feo, M. S. D., Sidrak, M. M. A., Corica, F., Gorica, J., Granese, G. M., Filippi, L., Vincentis, G. D., & Frantellizzi, V. (2023) · Diagnostics · doi:10.3390/diagnostics13101682 · Cited by 8
Detection of APP gene recombinant in human blood plasma
Mitsunaga, S., Fujito, N. T., Nakaoka, H., Imazeki, R., Nagata, E., & Inoue, I. (2023) · Scientific Reports · doi:10.1038/s41598-023-48993-7 · Cited by 6
Micro and nanoemulsion as drug carriers in Alzheimer's disease
Patel, A. K., Paliwal, H., Sawant, K. K., & Prajapati, B. G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13205-6.00013-3 · Cited by 7
Ding, J., Wang, Y., Wang, Z., Hu, S., Zhu, L., Le, C., Huang, J. A., Xu, X., Huang, J., & Qiu, P. (2022) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2022/5909926 · Cited by 7
Imaging Tau Pathology—The Next Step
Jagust, W. J. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0520 · Cited by 7
Self-citation3D Mapping of Neurofibrillary Tangle Burden in the Human Medial Temporal LobePreprint
Yushkevich, P. A., Muñoz, M., Martin, M. M. I. D. O., Ittyerah, R., Lim, S., Ravikumar, S., Bedard, M. L., Pickup, S., Liu, W., Wang, J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.15.421909 · Cited by 7
The gut as a central hub for multi-organ crosstalk in aging
Zhang, X., Li, R., Gao, Y., Zhang, W., Ni, T., & Liu, Y. (2026) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-026-06129-w · Cited by 7
Patwekar, M., Patwekar, F., Shaikh, D., Fatema, S. R., Aher, S. J., & Sharma, R. (2023) · Applied Chemical Engineering · doi:10.24294/ace.v6i3.2338 · Cited by 8
Short-term blood pressure variability and brain functional network connectivity in older adults
Sible, I. J., Jang, J. Y., Blanken, A. E., Alitin, J. P. M., Engstrom, A., Dutt, S., Marshall, A. J., Kapoor, A., Shenasa, F., Gaubert, A., et al. (2024) · Neuroimage Reports · doi:10.1016/j.ynirp.2024.100198 · Cited by 6
Role of O-GlcNAcylation in Alzheimer's disease: Insights and perspectives
Sharma, A., Singh, A., Debnath, R., Gupta, G. D., & Sharma, K. (2024) · European Journal of Medicinal Chemistry Reports · doi:10.1016/j.ejmcr.2024.100195 · Cited by 7
Electrophysiological insights into Alzheimer's disease: A review of human and animal studies
Calvin, K., McNeela, A. M., Osse, A. M. L., Bhasin, G., Ridenour, M., Kinney, J. W., & Hyman, J. M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105987 · Cited by 8
Ma, W., Tang, B., Zhang, H., Qu, Y., Luan, J., Wang, K., Chen, W., Wang, X., Liu, X., Zhao, H., et al. (2025) · Analytica Chimica Acta · doi:10.1016/j.aca.2025.344485 · Cited by 6
Goldstein, M. R., & Cheslock, M. (2021) · Medical Hypotheses · doi:10.1016/j.mehy.2021.110645 · Cited by 8
Wu, J., Shahid, S. S., Lin, Q., Hone‐Blanchet, A., Smith, J. L., Risk, B. B., Bisht, A. S., Loring, D. W., Goldstein, F. C., Levey, A. I., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.901140 · Cited by 6
A Systematic Review of Dietary Supplements in Alzheimer’s Disease
Chimakurthy, A., Lingam, S., Pasya, S. K. R., & Copeland, B. J. (2023) · Cureus · doi:10.7759/cureus.33982 · Cited by 7
Pereira, J. D., Teixeira, L. C. R., Mamede, I., Alves, M. T., Caramelli, P., Luizon, M. R., Veloso, A., & Gomes, K. B. (2024) · Journal of Neurochemistry · doi:10.1111/jnc.16060 · Cited by 6
Qi, J., Wang, Z.-J., Yang, G., Gao, Q.-C., Li, W.-R., Cai, H.-Y., Zhao, H., Wang, J.-J., Zhao, X., Wang, J.-X., et al. (2022) · Neural Regeneration Research · doi:10.4103/1673-5374.335168 · Cited by 6
An Activatable NIR‐II Fluorescent Reporter for In Vivo Imaging of Amyloid‐β Plaques
Miao, J., Miao, M., Jiang, Y., Zhao, M., Li, Q., Zhang, Y., An, Y., Pu, K., & Miao, Q. (2022) · Angewandte Chemie · doi:10.1002/ange.202216351 · Cited by 5
Zhang, P., Gao, T., Guo, J., & Duan, J. (2025) · Quantitative Biology · doi:10.1002/qub2.86 · Cited by 5
Tennant, V. R., Wheeler, K. V., Lee, N. N., Terner, J. A., Hand, M. W., Ganesan, S., Walsh, P., Greene, A., Berkness, T., Lei, T., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.41 · Cited by 5
Li, S., Li, K., Liu, J., Huang, S., Wang, C., Tu, Y., Wang, B., Zhang, P., Luo, Y., Zhang, Y., et al. (2025) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2025.1564932 · Cited by 6
Bowirrat, A., Pinhasov, A., Bowirrat, A., & Badgaiyan, R. D. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178253 · Cited by 6
Verma, P., Ranasinghe, K. G., Prasad, J., Cai, C., Xie, X., Lerner, H., Mizuiri, D., Miller, B. L., Rankin, K. P., Vossel, K. A., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01426-7 · Cited by 5
Label free, machine learning informed plasma-based elemental biomarkers of Alzheimer's disease
Safi, A., Melikechi, N., Eseller, K. E., Gaschnig, R. M., & Xia, W. (2024) · Journal of Analytical Atomic Spectrometry · doi:10.1039/d4ja00090k · Cited by 5
Anxious–depressive symptoms and sleep disturbances across the Alzheimer disease spectrum
Chai, Y., Kojori, E. S., Saykin, A. J., & Yu, M. (2025) · Nature Mental Health · doi:10.1038/s44220-025-00416-4 · Cited by 8
Edwards, L., Smirnov, D. S., Thomas, K. R., Longardner, K., Delano‐Wood, L., Bondi, M. W., Salmon, D. P., Galasko, D., & Bangen, K. J. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70632 · Cited by 4
Are Analogue or Digital Clocks Friendlier for People Living with Dementia?
Koreki, A., Kusudo, K., Suzuki, H., Nozaki, S., Onaya, M., Bowes, A. M., & Sado, M. (2021) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000518350 · Cited by 5
Novel therapeutic approaches for targeting Alzheimer’s disease
Khodakiya, A., Chaudhary, S., Chaudhary, A., & Prajapati, B. G. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13205-6.00020-0 · Cited by 5
The role and mechanism of dapagliflozin in Alzheimer disease: A review
Chen, P., Liang, L., Dai, Y., & Hui, S. (2024) · Medicine · doi:10.1097/md.0000000000039687 · Cited by 5
Lavrova, A., Satoh, R., Pham, N. T. T., Nguyen, A. T., Jack, C. R., Petersen, R. C., Ross, R. R., Dickson, D. W., Lowe, V. J., Whitwell, J. L., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14301 · Cited by 6
Effects of remimazolam and surgery on cognition in a tibia fracture mouse model
Zhao, J., Yu, T., He, R., Li, M., Xia, W., & Lu, Y. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.113464 · Cited by 5
Zhang, L., Zhen, R.-R., Gu, C., Zhang, T.-L., Li, Y., Jin, M., Hu, B., & An, H. (2020) · BMC Complementary Medicine and Therapies · doi:10.1186/s12906-020-2834-8 · Cited by 5
RetractedPersonality factors and cerebral glucose metabolism in community-dwelling older adults
Sohrabi, H. R., Goozee, K. G., Weinborn, M., Shen, K., Brown, B. M., Rainey‐Smith, S. R., Salvado, O., Taddei, K., Bucks, R. S., Maruff, P. T., et al. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02071-0 · Cited by 5
Gupta, M., & Weaver, D. F. (2021) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp03844c · Cited by 5
Modulating surface functional groups in carbon dots for enhanced inhibition of β‐amyloid aggregation
Yan, K., Li, C., Zhu, X., Zhang, Y., Zhou, Y., Xiao, G., & Xu, M. (2024) · ChemistrySelect · doi:10.1002/slct.202304300 · Cited by 5
Nikparast, F., Ganji, Z., Zare, H., & Sharak, N. A. (2025) · Photodiagnosis and Photodynamic Therapy · doi:10.1016/j.pdpdt.2025.104632 · Cited by 4
Lavrova, A., Pham, N. T. T., Vernon, C. J., Graff‐Radford, J., Boeve, B. F., Knopman, D. S., Kantarci, K., Jack, C. R., Nguyen, A. T., Ross, R. R., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70568 · Cited by 4
Influence of the Gut Microbiota on the Pathogenesis of Alzheimer’s Disease: A Literature Review
Batko, J., Antosz, K., Suchecki, W., Szyller, H. P., Wrześniewska, M., Dyda, M., & Leszek, J. (2025) · Cells · doi:10.3390/cells14201578 · Cited by 4
Chen, H., Hailili, G., Tong, L., Fei, L., Cao, Y., Xu, X., Li, X., van Lent, D. M., & Yuan, C. (2026) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2025-336957 · Cited by 5
Zhang, L., Wang, D., Dai, Y., Wang, X., Cao, Y., Liu, W., & Tao, Z. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.863673 · Cited by 4
Denkinger, M. N., Baker, S. L., Harrison, T. M., Chadwick, T. A., & Jagust, W. J. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.11.002 · Cited by 4
Self-citationKwak, S. (2025) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2025.1578648 · Cited by 7
Pillai, J. A., Larvie, M., Chen, J. M., Crawford, A., Cummings, J. L., & Jones, S. E. (2020) · Scientific Reports · doi:10.1038/s41598-020-77503-2 · Cited by 5
Lissaman, R., Lancaster, T. M., Parker, G. D., Graham, K. S., Lawrence, A. D., & Hodgetts, C. J. (2022) · Neuroimage Reports · doi:10.1016/j.ynirp.2022.100126 · Cited by 4
Karaca, Ö., Tepe, N., & Özcan, E. (2023) · Neuroreport · doi:10.1097/wnr.0000000000001930 · Cited by 4
The Life Course Approach to Cognitive Aging and Dementia
Chey, J., & Kwak, S. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108974325.009 · Cited by 4
Microvascular Perfusion Imaging in Alzheimer's Disease
Song, Y., Xing, H., & Zhang, Z. (2024) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2304070 · Cited by 5
MRI Diffusion Connectomics-Based Characterization of Progression in Alzheimer’s Disease
Mattie, D., Peña‐Castillo, L., Takahashi, E., & Levman, J. E. D. (2024) · Applied Sciences · doi:10.3390/app14167001 · Cited by 4
Ullah, I., Zhang, C., Shao, Y., Shen, J., & Zhu, H. (2025) · Dyes and Pigments · doi:10.1016/j.dyepig.2025.112636 · Cited by 4
Ngo, A., Karim, F., Keerthisinghe, O. V., Danh, T. B., Liang, C., & Mukherjee, J. (2025) · Receptors · doi:10.3390/receptors4010007 · Cited by 4
Modeling functional connectivity with learning and memory in a mouse model of Alzheimer's disease
Fadel, L. C., Hipskind, E., Pedersen, S. E., Romero, J., Ortiz, C., Shin, E., Samee, M. A. H., & Pautler, R. G. (2025) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2025.1558759 · Cited by 3
Zhang, Z., Zhang, L., Zhang, Y., Zhao, Y., Gao, Y. B., Zhang, C., Li, D., Zhang, X., Yang, G., & Zhang, J. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111501 · Cited by 6
Blujus, J. K., Korthauer, L. E., Awe, E., Frahmand, M., & Driscoll, I. F. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200444 · Cited by 4
Classification of sMRI Images for Alzheimer’s Disease by Using Neural Networks
Xing, Y., Guan, Y., Yang, B., & Liu, J. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-18910-4_5 · Cited by 4
Yliranta, A., Karjalainen, V.-L., Nuorva, J., Ahmasalo, R., & Jehkonen, M. (2023) · The Clinical Neuropsychologist · doi:10.1080/13854046.2023.2181223 · Cited by 6
Gürsoy, Ş., Önel, G. T., Türkmenoğlu, B., Merde, İ. B., Dilek, E., Hepokur, C., & Algül, Ö. (2024) · ChemistrySelect · doi:10.1002/slct.202400085 · Cited by 4
Neuromodulatory systems in aging and disease
Dahl, M. J., Werkle‐Bergner, M., & Mather, M. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105647 · Cited by 3
Sidenkova, A. P., Myakotnykh, V. S., Сергеевна, В. Е., Мельник, А. А., Borovkova, T. A., & Proshchenko, D. A. (2022) · Psikhiatriya · doi:10.30629/2618-6667-2022-20-3-98-111 · Cited by 5
Dahl, M. J., Werkle‐Bergner, M., & Mather, M. (2020) · medRxiv · doi:10.17605/osf.io/sf2ky · Cited by 5
Dahl, M. J., Mather, M., Düzel, S., Bodammer, N., Lindenberger, U., Kühn, S., & Werkle‐Bergner, M. (2019) · MPG.PuRe (Max Planck Society) · Cited by 5
Between-networks hyperconnectivity is induced by beta-amyloid and may facilitate tau spreadPreprint
Hojjati, S. H., Butler, T., de Leon, M. J., Gupta, A. K., Nayak, S., Luchsinger, J. A., Chiang, G. C.-Y., & Razlighi, Q. R. (2024) · medRxiv · doi:10.1101/2024.01.03.24300709 · Cited by 4
Mulero-Franco, J., Jimenez-Herrera, R., Contreras, A., Djebari, S., Jiménez-Díaz, L., & Navarro-López, J. D. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118247 · Cited by 4
Patterns of pathological tau deposition reflect the dynamics of cortical brain activity
Han, F., Chen, X., Murphy, A., Lee, J., Ziontz, J., Landau, S. M., Baker, S. L., Harrison, T. M., & Jagust, W. J. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115853 · Cited by 4
Self-citationAbnormalities of Hippocampal Subfields in Individuals With Acute Carbon Monoxide Poisoning
Tang, M., Li, T., Deng, Y., Ji, Y., Wang, S., Liu, N., Huang, X., & Zhang, X. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70482 · Cited by 3
Houzé, L., Dhénain, M., Lam, S., Petit, F., Haı̈k, S., Mouton‐Liger, F., Hugon, J., Dam, J., Paquet, C., Jockers, R., et al. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01792-w · Cited by 3
An, W., Guo, D., Wang, J., & Chu, X. (2025) · PLoS ONE · doi:10.1371/journal.pone.0329397 · Cited by 4
Metadata
- Authors
- Jagust, W.
- Affiliations
- Lawrence Berkeley National Laboratory (US)
- Corresponding author
- Jagust, William
- ORCID
- Jagust, William
- Venue
- Nature Reviews Neuroscience
- Published
- 2018-09-28
- Volume
- 19
- Issue
- 11
- Pages
- 687-700
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC7032048
- OpenAlex
- W2894357926
- Cited by
- 604
- References
- 213
- Citations by year
- 2026: 73 · 2025: 85 · 2024: 89 · 2023: 94 · 2022: 76 · 2021: 85 · 2020: 58 · 2019: 40 · 2018: 2
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (R01AG045611, R01AG062542, P01AG019724, 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
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, amyloid-beta, tau protein, neurodegeneration, brain atrophy, hypometabolism, medial parietal cortex, medial temporal lobe, cognitive decline, dementia, disease progression
- MeSH terms
- Aging, Alzheimer Disease, Brain, Humans, Amyloid beta-Peptides, tau Proteins, Disease Progression, Multimodal Imaging
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
