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Local and distant relationships between amyloid, tau and neurodegeneration in Alzheimer's Disease
Open accessAbstract
The relationships between β-amyloid (Aβ), tau and neurodegeneration within Alzheimer's Disease pathogenesis are not fully understood. To explore these associations in vivo, we evaluated 30 Aβ PET-positive patients (mean ± sd age 62.4 ± 8.3) with mild probable AD and 12 Aβ PET-negative healthy controls (HC) (mean ± sd age 77.3 ± 6.9) as comparison. All participants underwent 3 T MRI, 11C-PiB (Aβ) PET and 18F-AV1451 (tau) PET. Multimodal correlation analyses were run at both voxel- and region-of-interest levels. 11C-PiB retention in AD showed the most diffuse uptake pattern throughout association neocortex, whereas 18F-AV1451 and gray matter volume reduction (GMR) showed a progressive predilection for posterior cortices (p<0.05 Family-Wise Error-[FWE]-corrected). Voxel-level analysis identified negative correlations between 18F-AV1451 and gray matter peaking in medial and infero-occipital regions (p<0.01 False Discovery Rate-[FDR]-corrected). 18F-AV1451 and 11C-PiB were positively correlated in right parietal and medial/inferior occipital regions (p<0.001 uncorrected). 11C-PiB did not correlate with GMR at the voxel-level. Regionally, 18F-AV1451 was largely associated with local/adjacent GMR whereas frontal 11C-PiB correlated with GMR in posterior regions. These findings suggest that, in mild AD, tau aggregation drives local neurodegeneration, whereas the relationships between Aβ and neurodegeneration are not region specific and may be mediated by the interaction between Aβ and tau.
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“The occurrence of NFTs correlates well with spatial patterns of neuronal loss and is related to the degree of cognitive deficits [3,4].”
From Diffusion tensor imaging reveals whole-brain microstructural changes in the P301L mouse model of tauopathy. (2020) · cites this paper as [3]
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Cites
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
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Alzheimer's disease: the amyloid cascade hypothesis
Hardy, J. A., & Higgins, G. A. (1992) · Science · doi:10.1126/science.1566067 · Cited by 7,484
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
Self-citationQuerfurth, H. W., & LaFerla, F. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0909142 · Cited by 4,569
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-citationBrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106
Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321
Self-citationBraak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172
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Items 101–165 of 165
Visser, D., Verfaillie, S. C. J., Bosch, I., Brouwer, I., Tuncel, H., Coomans, E. M., Rikken, R. M., Mastenbroek, S. E., Golla, S. S. V., Barkhof, F., et al. (2023) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-023-06196-2 · Cited by 9
Self-citationPolypathologic Associations with Gray Matter Atrophy in Neurodegenerative Disease
Phillips, J. S., Robinson, J. L., Cousins, K. A. Q., Wolk, D. A., Lee, E. B., McMillan, C. T., Trojanowski, J. Q., Grossman, M., & Irwin, D. J. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0808-23.2023 · Cited by 9
Galli, A., Inglese, M., Presotto, L., Malito, R., Di, X., Toschi, N., Pilotto, A., Padovani, A., Tassorelli, C., Perani, D., et al. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07379-9 · Cited by 9
Tau and β-Amyloid Relevant Pathology as a Central Therapeutic Target in Alzheimer’s Disease
Strużyńska, L., Adamiak, K., & Sidoryk‐Wȩgrzynowicz, M. (2026) · Biomolecules · doi:10.3390/biom16040595 · Cited by 9
Ni, W., Jagust, W. J., & Wang, D. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.1c00424 · Cited by 9
Self-citationMartersteck, A., Sridhar, J., Coventry, C., Weıntraub, S., Mesulam, M. M., & Rogalski, E. J. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12445 · Cited by 11
Voltage-Gated Na+ Channels in Alzheimer’s Disease: Physiological Roles and Therapeutic Potential
Baumgartner, T. J., Haghighijoo, Z., Goode, N. A., Dvorak, N. M., Arman, P., & Laezza, F. (2023) · Life · doi:10.3390/life13081655 · Cited by 10
Li, W., Huang, X., Pang, X., Sun, Y., Zeng, Z., Zheng, P., Gao, C., & Pang, C.-Y. (2024) · Aging advances. · doi:10.4103/agingadv.agingadv-d-24-00006 · Cited by 8
Kim, M. H., Jung, W. J., Jeong, H. J., Lee, K., Kil, H. S., Chung, W.-S., Nam, K. R., Lee, Y. J., Lee, K. C., Lim, S. M., et al. (2022) · Bulletin of the Korean Chemical Society · doi:10.1002/bkcs.12532 · Cited by 8
Kim, C. M., Diez, I. P., Bueichekú, E., Ahn, S., Montal, V., & Sepulcre, J. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0488-23.2023 · Cited by 7
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
Kim, K., Jang, Y. J., Shin, J., Park, M. J., Kim, H., Seong, J., & Jeon, H. J. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01562-0 · Cited by 9
The Overlap Index as a means of evaluating early tau-PET signal reliability
Lee, J., Burkett, B. J., Min, H.-K. P., Lundt, E. S., Albertson, S. M., Botha, H., Senjem, M. L., Gunter, J. L., Schwarz, C. G., Jones, D. G., et al. (2022) · Journal of Nuclear Medicine · doi:10.2967/jnumed.121.263136 · Cited by 8
Beker, M., GÜnay, N., Johnson, B. S., Cakmak, R. K., Ercin, N., Altıntaş, M. Ö., Altunay, S., Beker, M. Ç., Sari, D., & Kılıç, Ü. (2022) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2022.104874 · Cited by 8
Mitochondria and Alzheimer’s Disease: An Electron Microscopy Study
Balogiannis, S. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.84881 · Cited by 9
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
Hassouneh, A., Bazuin, B. J., Danna‐dos‐Santos, A., Acar, I., Abdel-Qader, I. M., & Initiative, T. A. D. N. (2024) · Digital Biomarkers · doi:10.1159/000538486 · Cited by 7
Stocks, J. K., Popuri, K., Heywood, A. A., Tosun, D., Alpert, K., Beg, M. F., Rosen, H. J., Wang, L., & Initiative, A. D. N. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12304 · Cited by 6
Self-citationAmyloid-β and tau deposition in traumatic brain injury: a study of Vietnam War veterans
de Bruin, H., Groot, C., Kamps, S., Vijverberg, E. G. B., Steward, A., Dehsarvi, A., Pijnenburg, Y. A. L., Ossenkoppele, R., & Franzmeier, N. (2024) · Brain Communications · doi:10.1093/braincomms/fcaf009 · Cited by 5
Self-citationLocal molecular and connectomic contributions of tau-related neurodegeneration
Nabizadeh, F., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R. C., Jack, C. R., Jagust, W., Trojanowski, J. Q., Toga, A. W., Beckett, L. A., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01339-1 · Cited by 5
Self-citationCarbonell, F., McNicoll, C., Zijdenbos, A. P., Bedell, B. J., & Initiative, A. D. N. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14625 · Cited by 6
Sartoretti, T., Ganley, R. P., Ni, R., Freund, P., Zeilhofer, H. U., & Klohs, J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.825996 · Cited by 4
Lanjewar, D., Katariya, R., Kale, V., Taksande, B. G., Umekar, M. J., & Vinchurney, M. D. (2025) · Neuropeptides · doi:10.1016/j.npep.2025.102547 · Cited by 4
Langley, J. A., Bennett, I. J., Hu, X. P., & Initiative, A. D. N. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16362 · Cited by 4
Effect of Alzheimer’s Disease and Lewy Body Disease on Metabolic Changes
Lee, Y. H., Jeon, S., Yoo, H. S., Chung, S. J., Jung, J. H., Baik, K., Sohn, Y. H., Lee, P. H., Yun, M., Evans, A. C., et al. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201094 · Cited by 4
Gavett, B. E., Fletcher, E. M., Widaman, K. F., Farias, S. T., DeCarli, C. S., & Mungas, D. (2021) · Neuropsychology · doi:10.1037/neu0000761 · Cited by 4
Na, H. K., Shin, J., Kim, S.-W., Seo, S., Kim, W., Kang, J. M., Lee, S., Cho, J., Byun, J., Okamura, N., et al. (2024) · Yonsei Medical Journal · doi:10.3349/ymj.2023.0308 · Cited by 3
Saha, C., Figley, C. R., Lithgow, B., Fitzgerald, P. B., Koski, L. M., Mansouri, B., Anssari, N., Wang, X., & Moussavi, Z. (2024) · Brain Sciences · doi:10.3390/brainsci14030226 · Cited by 3
Cognitive variation reflects amyloid, tau, and neurodegenerative biomarkers in Alzheimer’s disease
Phang, S. K. A., Tan, C. H., & Initiative, A. D. N. (2025) · GeroScience · doi:10.1007/s11357-025-01541-9 · Cited by 6
Casamitjana, A., Petrone, P., Molinuevo, J. L., Gispert, J. D., & Vilaplana, V. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2932565 · Cited by 3
Liu, F., Jiang, L., Sang, J., Lu, F., & Li, L. (2022) · Chinese Journal of Chemical Engineering · doi:10.1016/j.cjche.2022.04.021 · Cited by 3
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
Lin, M., Chiotis, K., Maiti, P., Zhang, J., Blazhenets, G., Rocha, S., Shankar, R. P., Amuiri, A. N., Hammers, D. B., Eloyan, A., et al. (2026) · Brain Communications · doi:10.1093/braincomms/fcag176 · Cited by 2
Self-citationAmyloid and Tau PET Positivity in Progressive Agrammatic Aphasia and Apraxia of Speech
Tetzloff, K. A., Duffy, J. R., Clark, H. M., Pham, N. T. T., Machulda, M. M., Botha, H., Jack, C. R., Dickson, D. W., Lowe, V. J., Josephs, K. A., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230912 · Cited by 2
Calibration of Biophysical Models for tau-Protein Spreading in Alzheimer's Disease from PET-MRIPreprint
Scheufele, K., Subramanian, S., & Biros, G. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.01236 · Cited by 5
Nerattini, M., Rubino, F., Jett, S., Andy, C., Boneu, C., Zarate, C., Carlton, C., Kodancha, V., Loeb‐Zeitlin, S., Havryliuk, Y., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2351642/v1 · Cited by 2
The Psychopathology and Neuropsychology of Alzheimer’s Disease: A New Narrative
Barakat, M., Annan, I., Sader, A., & Khoury, R. (2024) · Springer eBooks · doi:10.1007/978-3-031-32035-4_54-1 · Cited by 1
Xu, X., Mo, X., Zhang, W., Liu, D., Chen, Q., Lu, J., Zhu, Y., Chen, J., Zhang, B., Zhu, Z., et al. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251322539 · Cited by 1
Tau extent outperforms tau load as a predictor of neurodegeneration in Alzheimer’s disease
Macedo, A. C., Trudel, L., Hosseini, S. A., Therriault, J., Aumont, É., Bezgin, G., Rahmouni, N., Stevenson, J., Tissot, C., Woo, M. S., et al. (2026) · Molecular Neurodegeneration · doi:10.1186/s13024-026-00945-1 · Cited by 3
Divergent effects of age on imaging‐based ATN biomarkers and cognition in Alzheimer's disease
Frings, L., Hellwig, S., Brumberg, J., Rau, A., Mix, M. D., Blazhenets, G., Urbach, H., & Meyer, P. T. (2025) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70142 · Cited by 1
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Rickner, H., Jiang, L., Hong, R., O’Neill, N. K., Mojica, C. A., Snyder, B. J., Zhang, L., Shaw, D., Medalla, M., Wolozin, B. L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.03.490513 · Cited by 1
Gebre, R. K., Moscoso, A., Raghavan, S. K., Wiste, H. J., Sparrman, K. J., Heeman, F., Costoya‐Sánchez, A., Schwarz, C. G., Spychalla, A. J., Lowe, V. J., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3290598/v1 · Cited by 1
Risk factors for development of neurocognitive disorders
Gustavsson, A. (2019) · Lund University Publications (Lund University)
Study of early stages of Alzheimer's disease using magnetic resonance imaging
Casamitjana, A. (2019) · UPCommons institutional repository (Universitat Politècnica de Catalunya) · doi:10.5821/dissertation-2117-175259
Jing, S., Liu, C., Lin, H., Zhang, X., Wang, F., Gao, J., Sun, J., Chen, J., Wang, C., & Li, H. (2020) · Natural Product Communications · doi:10.1177/1934578x19900687
Mikheeva, I. B., Pavlik, L. L., Shubina, L., Malkov, A., Khutsyan, S. S., & Kitchigina, V. F. (2020) · Bulletin of Experimental Biology and Medicine · doi:10.1007/s10517-020-04806-9
Huang, Y. H., Jia, H., & Bao, W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816475-4.00013-6
Ashford, J. W. (2018) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734280398.793553881
Stocks, J. K., Initiative, A. D. N., Heywood, A. A., Popuri, K., Beg, M. F., Rosen, H. J., & Wang, L. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-220975
Self-citationSpatial association between distributed β-amyloid and tau varies with cognitionPreprint
Carbonell, F., McNicoll, C., Zijdenbos, A. P., Bedell, B. J., & Initiative, A. D. N. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.27.559737
Carbonell, F., McNicoll, C., Zijdenbos, A. P., Bedell, B. J., & Initiative, A. D. N. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.23.576866
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
The Psychopathology and Neuropsychology of Alzheimer’s Disease: A New Narrative
Barakat, M., Annan, I., Sader, A., & Khoury, R. (2025) · Springer eBooks · doi:10.1007/978-3-031-73368-0_54
Apolipoprotein E gene allele 4 and amyloid-beta mediate tau-related network breakdown
Nabizadeh, F. (2025) · Brain Communications · doi:10.1093/braincomms/fcaf404
Thakur, N., Paul, R., Zhou, Y., Dumitrașcu, O., & Li, B. (2025) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · doi:10.1109/bhi67747.2025.11269474
Fair CCA for Fair Representation Learning: An ADNI Study
Hou, B., Wang, Z., Zhou, Z., Tong, B., Wang, Z., Bao, J., Duong-Tran, D., Long, Q., & Shen, L. (2025) · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · doi:10.1145/3765612.3767215
Franceschi, A. M., Peng, S., Banegas, J. I., Keir, G., Gordon, M. L., Eidelberg, D., & Ma, Y. (2026) · American Journal of Neuroradiology · doi:10.3174/ajnr.a8980
Ishii, K., Yamada, T., Hanaoka, K., Kojita, Y., Kono, A., Kaida, H., Nihashi, T., Sakurai, K., Kato, T., & Nakamura, A. (2026) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-026-07935-x
Common and rare variant analyses implicate JARID2 in cerebral tau deposition
Gunasekaran, T. I., Meena, D., Lee, A., Wu, S., Dumitrescu, L. C., Sperling, R. A., Hohman, T. J., Huang, J., Study, A., Alzheimer's Disease Sequencing Project, et al. (2026) · npj Dementia · doi:10.1038/s44400-026-00107-6 · Cited by 2
Classification of tau status with machine learning models in amyloid‐positive cohorts
Lin, Y., Chiu, S.-C., Massey, R., Fang, Y.-H. D., & Initiative, A. D. N. (2026) · Alzheimer s & Dementia · doi:10.1002/alz.71683 · Cited by 1
Li, Y., Li, F., Cao, D., Lin, Q., Liu, P., Li, W., Zhang, Y., Huang, X., Huang, K., Li, W., et al. (2026) · Human Brain Mapping · doi:10.1002/hbm.70630
Surhan, A., Oad, J., Kumar, B., Memon, S. N., Essrani, C., Muhammad, F., Kashif, S. N., Abbas, S. M. I., Ameen, T. B., Sauleh, A., et al. (2026) · The Egyptian Journal of Neurology Psychiatry and Neurosurgery · doi:10.1186/s41983-026-01263-5
Metadata
- Authors
- Iaccarino, L., Tammewar, G., Ayakta, N., Baker, S. L., Bejanin, A., Boxer, A. L., Gorno-Tempini, M. L., Janabi, M., Kramer, J. H., Lazaris, A., Lockhart, S. N., Miller, B. L., Miller, Z. A., O'Neil, J. P., Ossenkoppele, R., Rosen, H. J., Schonhaut, D. R., Jagust, W. J., & Rabinovici, G. D.
- Affiliations
- Vita-Salute San Raffaele University (IT)
- University of California, San Francisco (US)
- Lawrence Berkeley National Laboratory (US)
- University of California, Berkeley (US)
- Corresponding author
- Iaccarino, Leonardo
- ORCID
- Venue
- NeuroImage: Clinical
- Publisher
- Elsevier BV
- Published
- 2018
- Volume
- 17
- Pages
- 452-464
- ISSN
- 2213-1582 (ISSN-L)
- PMC
- PMC5684433
- OpenAlex
- W2756641284
- Cited by
- 165
- References
- 85
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 22 · 2023: 18 · 2022: 22 · 2021: 18 · 2020: 20 · 2019: 25 · 2018: 17
- FWCI
- 12.55
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage Clinical (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- University of California
- FP7 People: Marie-Curie Actions (628812)
- National Institutes of Health (K23-AG048291, R01-AG038791, U01-AG045390, U54-NS092089)
- Tau Consortium
- National Institute on Aging (F32-AG050389, P50-AG023501, R01-AG034570, R01-AG045611)
- John Douglas French Alzheimer's Foundation
- National Institute of Neurological Disorders and Stroke (R01-NS050915)
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Alzheimer's Association
- Topics
- 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
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- Alzheimer's disease, amyloid-beta, tau protein, neurodegeneration, 11C-PiB PET, gray matter volume reduction
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography
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