The DOI matches its Crossref record; 43 of the 44 references it cites were found in a registry or an index.
Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study
Open accessAbstract
Background Neurofibrillary pathology has a stereotypical progression in Alzheimer's disease (AD) that is encapsulated in the Braak staging scheme; however, some AD cases are atypical and do not fit into this scheme. We aimed to compare clinical and neuropathological features between typical and atypical AD cases.Methods AD cases with a Braak neurofibrillary tangle stage of more than IV were identified from a brain bank database. By use of thioflavin-S fluorescence microscopy, we assessed the density and the distribution of neurofibrillary tangles in three cortical regions and two hippocampal sectors. These data were used to construct an algorithm to classify AD cases into typical, hippocampal sparing, or limbic predominant. Classified cases were then compared for clinical, demographic, pathological, and genetic characteristics. An independent cohort of AD cases was assessed to validate findings from the initial cohort.Findings 889 cases of AD, 398 men and 491 women with age at death of 37-103 years, were classified with the algorithm as hippocampal sparing (97 cases [11%]), typical (665 [75%]), or limbic predominant (127 [14%]). By comparison with typical AD, neurofibrillary tangle counts per 0.125 mm(2) in hippocampal sparing cases were higher in cortical areas (median 13, IQR 11-16) and lower in the hippocampus (7.5, 5.2-9.5), whereas counts in limbic-predominant cases were lower in cortical areas (4.3, 3.0-5.7) and higher in the hippocampus (27, 22-35). Hippocampal sparing cases had less hippocampal atrophy than did typical and limbic-predominant cases. Patients with hippocampal sparing AD were younger at death (mean 72 years [SD 10]) and a higher proportion of them were men (61 [63%]), whereas those with limbic-predominant AD were older (mean 86 years [SD 6]) and a higher proportion of them were women (87 [69%]). Microtubule-associated protein tau (MAPT) H1H1 genotype was more common in limbic-predominant AD (54 [70%]) than in hippocampal sparing AD (24 [46%]; p=0.011), but did not differ significantly between limbic-predominant and typical AD (204 [59%]; p=0.11). Apolipoprotein E (APOE) ɛ4 allele status differed between AD subtypes only when data were stratified by age at onset. Clinical presentation, age at onset, disease duration, and rate of cognitive decline differed between the AD subtypes. These findings were confirmed in a validation cohort of 113 patients with AD.Interpretation These data support the hypothesis that AD has distinct clinicopathological subtypes. Hippocampal sparing and limbic-predominant AD subtypes might account for about 25% of cases, and hence should be considered when designing clinical, genetic, biomarker, and treatment studies in patients with AD.Funding US National Institutes of Health via Mayo Alzheimer's Disease Research Center, Mayo Clinic Study on Aging, Florida Alzheimer's Disease Research Center, and Einstein Aging Study; and State of Florida Alzheimer's Disease Initiative.
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
“clinical features lack specificity for a pathologic process, but rather indicate brain regions or systems affected by the disease process [3, 4].”
From The neuropathological diagnosis of Alzheimer's disease (2019) · cites this paper as [3]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Three major subtypes of AD can be classified by the relative density of hippocampal neurofibrillary tangles with respect to neocortical tangles [3].”
From The neuropathological diagnosis of Alzheimer's disease (2019) · cites this paper as [3]
The cited source says what the claim attributes to it.
In the citing paper
“Genetic analyses of APOE suggest APOE4 is more closely linked to typical or limbic predominant than hippocampal sparing AD [3].”
From The neuropathological diagnosis of Alzheimer's disease (2019) · cites this paper as [3]
The cited source says what the claim attributes to it.
In the citing paper
“Nonamnestic clinical presentations, that is, language, visuospatial, and executive disorders, may also be due to AD [63–66].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [65]
In the citing paper
“Another challenge of CPC studies is that the molecular, anatomic, and clinical changes of AD may not progress in a uniform fashion (7, 12-15).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [12]
In the citing paper
“and that not all AD cases fall within the same spatial continuum with regard to brain NFT distributions (12, 15, 151).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [12]
In the citing paper
“Nevertheless, Braak staging also masks the fact that marked variability in pathologic lesion density across cases exists within a given Braak stage (7, 12)”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [12]
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
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Self-citationNeurofibrillary tangles but not senile plaques parallel duration and severity of Alzheimer's disease
Arriagada, P. V., Growdon, J. H., Hedley-Whyte, E. T., & Hyman, B. T. (1992) · Neurology · doi:10.1212/wnl.42.3.631 · Cited by 2,668
Diagnosis of Alzheimer's Disease
Khachaturian, Z. S. (1985) · Archives of Neurology · doi:10.1001/archneur.1985.04060100083029 · Cited by 2,499
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542
Arnold, S. E., Hyman, B. T., Flory, J., Damasio, A. R., & Van Hoesen, G. W. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.103 · Cited by 1,380
TDP‐43 immunoreactivity in hippocampal sclerosis and Alzheimer's disease
Amador‐Ortiz, C., Lin, W., Ahmed, Z., Personett, D., Davies, P., Duara, R., Graff‐Radford, N. R., Hutton, M. L., & Dickson, D. W. (2007) · Annals of Neurology · doi:10.1002/ana.21154 · Cited by 916
Self-citationAssociation of an Extended Haplotype in the Tau Gene with Progressive Supranuclear Palsy
Baker, M., Litvan, I., Houlden, H., Adamson, J., Dickson, D., Perez-Tur, J., Hardy, J., Lynch, T., Bigio, E., & Hutton, M. (1999) · Human Molecular Genetics · doi:10.1093/hmg/8.4.711 · Cited by 781
Self-citationBarker, W., Luis, C. A., Kashuba, A., Luis, M., Harwood, D. G., Loewenstein, D., Waters, C., Jimison, P., Shepherd, E., Sevush, S., et al. (2002) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-200210000-00001 · Cited by 714
Self-citation
Cited by
Sorted by citations
Items 601–700 of 971
Beyond amyloid: nanobody-mediated neuroinflammatory therapy for Alzheimer’s disease
Amniouel, S., Suh, J., Zheng, W. H., & Zhang, Q. (2025) · Translational Neurodegeneration · doi:10.1186/s40035-025-00513-5 · Cited by 11
Hippocampal Laminar Distribution of Tau Relates to Alzheimer's Disease and Age of Onset
Seifan, A., Marder, K. S., Mez, J. B., Noble, J. M., Cortes, E. P., Vonsattel, J. P., & Honig, L. S. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140279 · Cited by 10
Jalali, D., Guevarra, J. A., Martinez, L., Hung, L., & Vonhoff, F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22137022 · Cited by 11
Baseline MRI atrophy predicts 2-year cognitive outcomes in early-onset Alzheimer’s disease
Contador, J., Pérez‐Millan, A., Guillén, N., Tort‐Merino, A., Balasa, M., Falgàs, N., Olives, J., Castellví, M., Borrego‐Écija, S., Bosch, B., et al. (2021) · Journal of Neurology · doi:10.1007/s00415-021-10851-9 · Cited by 10
Pillai, J. A., Bena, J., Maly, E. F., & Leverenz, J. B. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.12922 · Cited by 9
Vijverberg, E. G. B., Tijms, B. M., Dopp, J., Hong, Y. J., Teunissen, C. E., Barkhof, F., Scheltens, P., & Pijnenburg, Y. A. L. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.11.005 · Cited by 10
Cognitive deficit, and neuropathological correlates, in the oldest-old
Verny, M., & Duyckaerts, C. J. (2020) · Revue Neurologique · doi:10.1016/j.neurol.2020.01.355 · Cited by 10
Marková, H., Mazancová, A. F., Jester, D. J., Čechová, K., Matušková, V., Nikolai, T., Nedelská, Z., Uller, M., Andel, R., Laczó, J., et al. (2022) · Assessment · doi:10.1177/10731911211069676 · Cited by 14
Do Patients with Progressive Supranuclear Palsy Have Episodic Memory Impairment? A Systematic Review
Macedo, A. C., Mariano, L. I., Martins, M. I., Friedlaender, C. V., Balbino, J. M. V., Rocha, J. V. D. F., Camargos, S., Cardoso, F., Caramelli, P., & de Souza, L. C. (2022) · Movement Disorders Clinical Practice · doi:10.1002/mdc3.13435 · Cited by 10
Ryu, D.-W., Hong, Y. J., Cho, J. H., Kwak, K., Lee, J. M., Shim, Y. S., Youn, Y. C., & Yang, D. W. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00678-x · Cited by 10
Davies‐Abbott, I., Anthony, B. F., Jackson, K., Windle, G., & Edwards, R. T. (2024) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph21020231 · Cited by 9
Exploring the Genetic Heterogeneity of Alzheimer’s Disease: Evidence for Genetic Subtypes
Elman, J. A., Schork, N. J., Rangan, A. V., & Initiative, F. T. A. D. N. (2024) · Journal of Alzheimer’s Disease · doi:10.3233/jad-231252 · Cited by 9
Diverse tau pathologies in late‐life mood disorders revealed by PET and autopsy assays
Kurose, S., Moriguchi, S., Kubota, M., Tagai, K., Momota, Y., Ichihashi, M., Sano, Y., Endo, H., Hirata, K., Kataoka, Y., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70195 · Cited by 10
Buckow, K., Quade, M., Rienhoff, O., & Nussbeck, S. Y. (2014) · Neuroscience Research · doi:10.1016/j.neures.2014.08.005 · Cited by 9
Towards a Biological Definition of Alzheimer Disease
Jellinger Kurt, A. (2019) · International Journal of Neurology and Neurotherapy · doi:10.23937/2378-3001/1410095 · Cited by 11
Tang, K., Wan, M., Zhang, H., Zhang, Q., Yang, Q., Chen, K., Wang, N., Zhang, D., Qiu, W., & Ma, C. (2020) · Cell and Tissue Banking · doi:10.1007/s10561-020-09849-w · Cited by 8
Multi-pathological contributions toward atrophy patterns in the Alzheimer’s disease continuum
Mohanty, R., Ferreira, D., & Westman, E. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1355695 · Cited by 9
Wasserman, V., Emrani, S., Matusz, E. F., Miller, D., Garrett, K. D., Gifford, K. A., Hohman, T. J., Jefferson, A. L., Au, R., Swenson, R., et al. (2019) · Innovation in Aging · doi:10.1093/geroni/igz009 · Cited by 10
de Souza, L. D., Mariano, L., de Moraes, R. F., & Caramelli, P. (2019) · Dementia & Neuropsychologia · doi:10.1590/1980-57642018dn13-030015 · Cited by 9
EasierPath: An Open-Source Tool for Human-in-the-Loop Deep Learning of Renal Pathology
Zhu, Z., Lu, Y., Deng, R., Yang, H., Fogo, A. B., & Huo, Y. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-61166-8_23 · Cited by 9
Webster, J. M., Grabowski, T. J., Madhyastha, T. M., Gibbons, L. E., Keene, C. D., & Latimer, C. S. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.693242 · Cited by 9
Martersteck, 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
Martersteck, A., Ayala, I., Ohm, D. T., Spencer, C., Coventry, C., Weintraub, S., Bigio, E. H., Mesulam, M. M., Geula, C., & Rogalski, E. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01412-w · Cited by 9
Wong, D. R., Magaki, S., Vinters, H. V., Yong, W. H., Monuki, E. S., Williams, C. K., Martini, A. C., DeCarli, C. S., Khacherian, C., Graff, J. P., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05031-6 · Cited by 11
GenoRisk: A polygenic risk score for Alzheimer's disease
Dickson, S. P., Hendrix, S. B., Brown, B. L., Ridge, P. G., Nicodemus‐Johnson, J., Hardy, M. L., McKeany, A. M., Booth, S. B., Fortna, R. R., Kauwe, J. S. K., et al. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12211 · Cited by 8
Tau Imaging with 18 F-MK6240 across the Alzheimer’s Disease spectrumPreprint
Rowe, C. C., Doré, V., Krishnadas, N., Burnham, S. C., Lamb, F., Mulligan, R. S., Bozinovski, S., Laws, S. M., Tyrrell, R., Huang, K., et al. (2022) · medRxiv · doi:10.1101/2022.02.13.22270894 · Cited by 9
Kang, S., Kim, S.-W., & Seong, J. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120737 · Cited by 12
Deep brain stimulation of the nucleus basalis of Meynert in severe Alzheimer’s disease
Xu, J., Liu, B., Shang, G., Liu, S., Feng, Z., Yang, H., Liu, D., Chang, Q., Chen, Y., Yu, X., et al. (2024) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823241296780 · Cited by 8
Sanfilippo, C., Castrogiovanni, P., Imbesi, R., Fagone, P., Scuderi, G., Vinciguerra, M., & Rosa, M. D. (2025) · GeroScience · doi:10.1007/s11357-025-01740-4 · Cited by 8
The Adult Neurogenesis Theory of Alzheimer’s Disease
Abbate, C. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221279 · Cited by 11
The role of sex differences in depression in pathologically defined Alzheimer’s disease
Tremblay, C., Choudhury, P., Belden, C. M., Goldfarb, D., Lorenzini, I., Beach, T. G., & Serrano, G. E. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1156764 · Cited by 9
A 5-year longitudinal evaluation in patients with mild cognitive impairment by 11C-PIB PET/CT
Jiménez-Bonilla, J. F., Quirce, R., de Arcocha-Torres, M., Martínez‐Rodríguez, I., Martínez‐Amador, N., Sánchez-Salmón, A., la Fuente-Gómez, F. D., Rodríguez‐Rodríguez, E., Sánchez‐Juan, P., & Banzo, I. (2019) · Nuclear Medicine Communications · doi:10.1097/mnm.0000000000001004 · Cited by 8
Alzheimer’s disease with an early debut
Koberskaya, N. N., & Александровна, К. Н. (2019) · Meditsinskiy sovet = Medical Council · doi:10.21518/2079-701x-2019-1-10-16 · Cited by 8
Buciuc, M., Duffy, J. R., Machulda, M. M., Graff-Radford, J., Pham, N. T. T., Martin, P. R., Senjem, M. L., Jack, C. R., Ertekin-Taner, N., Dickson, D. W., et al. (2021) · Neurology · doi:10.1212/wnl.0000000000012322 · Cited by 8
Self-citationSarto, J., Mayà, G., Molina‐Porcel, L., Balasa, M., Gelpí, E., Aldecoa, I., Borrego‐Écija, S., Contador, J., Ximelis, T., Vergara, M., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220045 · Cited by 8
Chen, T., Lee, W., Chen, J., Chang, S.-Y., Lin, C.-F., & Chen, H.-C. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01083-8 · Cited by 8
Cancer and Vascular Comorbidity Effects on Dementia Risk and Neuropathology in the Oldest-Old
Lachner, C., Day, G. S., Camsari, G. B., Kouri, N., Ertekin‐Taner, N., Boeve, B. F., Labuzan, S. A., Lucas, J. A., Thompson, E. A., Siddiqui, H., et al. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220440 · Cited by 8
Self-citationDuara, R., Loewenstein, D., Shen, Q., Barker, W., Greig, M. T., Varón, D., Murray, M. E., & Dickson, D. W. (2013) · Advances in Alzheimer s Disease · doi:10.4236/aad.2013.24019 · Cited by 9
Self-citationRavenscroft, T. A., Pottier, C. P., Murray, M. E., Baker, M. C., Christopher, E. A., Levitch, D., Brown, P. H., Barker, W., Duara, R., Greig‐Custo, M. T., et al. (2016) · Europe PMC (PubMed Central) · Cited by 8
Self-citationVanhoutte, M., Semah, F., Leclerc, X., Sillaire, A. R., Jaillard, A., Kuchcinski, G., Delbeuck, X., Fahmi, R., Pasquier, F., & Lopes, R. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04519-w · Cited by 8
The puzzle of preserved cognition in the oldest old
Bugiani, O. (2019) · Neurological Sciences · doi:10.1007/s10072-019-04111-y · Cited by 8
Characterizing the spatiotemporal variability of Alzheimer's disease pathologyPreprint
Vogel, J. W., Young, A., Oxtoby, N., Smith, R., Ossenkoppele, R., Strandberg, O., Joie, R. L., Aksman, L., Grothe, M., Iturria-Medina, Y., et al. (2020) · medRxiv · doi:10.1101/2020.08.20.20176883 · Cited by 10
Shand, C., Markiewicz, P. J., Cash, D. M., Alexander, D. C., Donohue, M., Barkhof, F., Oxtoby, N. P., & Initiative, T. A. D. N. (2023) · medRxiv · doi:10.1101/2023.02.07.23285572 · Cited by 10
Hemispheric Asymmetry and Atypical Lobar Progression of Alzheimer-Type Tauopathy
Tremblay, C., Serrano, G. E., Intorcia, A. J., Curry, J. R., Sue, L. I., Nelson, C. M., Walker, J. E., Glass, M. J., Arce, R. A., Fleisher, A., et al. (2022) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlac008 · Cited by 8
A Multiform Heterogeneity Framework for Alzheimer’s Disease Based on Multimodal Neuroimaging
Zhao, K., Chen, P., Wang, D., Zhou, R., Ma, G., & Liu, Y. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.12.009 · Cited by 6
Visual Classification of Tau-PET Detects 4 Subtypes With Different Long-Term Outcomes
Boccalini, C., Mathoux, G., Hristovska, I., Ribaldi, F., Peretti, D. E., Arnone, A., Scheffler, M., Frisoni, G. B., Hansson, O., Vogel, J. W., et al. (2025) · Neurology · doi:10.1212/wnl.0000000000213950 · Cited by 7
Kritikos, M., Franceschi, A. M., Vaska, P., Clouston, S., Huang, C., Salerno, M., Deri, Y., Tang, C. Y., Pellecchia, A. C., Santiago‐Michels, S., et al. (2022) · World Journal of Nuclear Medicine · doi:10.1055/s-0042-1750013 · Cited by 7
Horvat, L. L., Španić, E., Leko, M. B., Zubčić, K., Horvat, L., Mustapić, M., Hof, P. R., & Šimić, G. (2023) · Biomedicines · doi:10.3390/biomedicines11041004 · Cited by 7
Preclinical Evaluation of an Imidazole-Linked Heterocycle for Alzheimer’s Disease
Bagán, A., Rodríguez‐Arévalo, S., Taboada-Jara, T., Griñán‐Ferré, C., Pallàs, M., Brocos‐Mosquera, I., Callado, L. F., Morales-Garcia, J. A., Pérez, B., Díaz, C., et al. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15102381 · Cited by 7
Alzheimer's disease clinical variants show distinct neuroinflammatory profiles with neuropathology
Boon, B. D. C., Frigerio, I., de Gooijer, D., Morrema, T. H. J., Bol, J. G. J. M., Galis, Y., Heymans, M. W., Bank, N. B., Murray, M. E., Amsterdam, N. A. B. C., et al. (2024) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.13009 · Cited by 7
Self-citationTau-network mapping of domain-specific cognitive impairment in Alzheimer’s disease
Luan, Y., Rubinski, A., Biel, D., Svaldi, D. O., Higgins, I. A., Shcherbinin, S., Pontecorvo, M. J., Franzmeier, N., & Ewers, M. (2024) · NeuroImage Clinical · doi:10.1016/j.nicl.2024.103699 · Cited by 11
Xu, J., Liu, B., Feng, Z., Yu, X., Shang, G., Liu, Y., Sun, Y., Yang, H., Chen, Y., Zhang, Y., et al. (2024) · Journal of Alzheimer s Disease Reports · doi:10.1177/25424823241297852 · Cited by 6
Caselli, R. J. (2012) · Alzheimer s Research & Therapy · doi:10.1186/alzrt123 · Cited by 7
Dickson, D. W., & Murray, M. E. (2015) · Brain · doi:10.1093/brain/awv097 · Cited by 7
Self-citationDisentangling Disease Heterogeneity with Max-Margin Multiple Hyperplane Classifier
Varol, E., Sotiras, A., & Davatzikos, C. A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24553-9_86 · Cited by 7
Imaging Clinical Subtypes and Associated Brain Networks in Alzheimer’s Disease
Herholz, K. (2022) · Brain Sciences · doi:10.3390/brainsci12020146 · Cited by 8
Mapping the Spatial Distribution of Fibrillar Polymorphs in Human Brain Tissue
Bashit, A. A., Nepal, P., Connors, T. R., Oakley, D. H., Hyman, B. T., Yang, L., & Makowski, L. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.909542 · Cited by 8
Re-Evaluation of Clinical Dementia Diagnoses with Pittsburgh Compound B Positron Emission Tomography
Gunnarsson, M. D., Lindau, M. P., Santillo, A. F., Wall, A., Engler, H., Lannfelt, L., Basun, H., & Kilander, L. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000356273 · Cited by 7
Postmortem imaging and neuropathologic correlations
Augustinack, J. C., & van der Kouwe, A. J. W. (2016) · Handbook of clinical neurology · doi:10.1016/b978-0-444-53486-6.00069-7 · Cited by 7
Démences : où sont les corps de Lewy ?
Lebouvier, T., Delrieu, J., Evain, S., Pallardy, A., Sauvaget, A., Letournel, F., Chevrier, R., Lepetit, M., Vercelletto, M., Boutoleau‐Bretonnière, C., et al. (2013) · Revue Neurologique · doi:10.1016/j.neurol.2013.05.004 · Cited by 7
Machine learning as a means toward precision diagnostics and prognostics
Sotiras, A., Gaonkar, B., Eavani, H., Honnorat, N., Varol, E., Dong, A., & Davatzikos, C. A. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804076-8.00010-4 · Cited by 7
Imaging Tau Pathology—The Next Step
Jagust, W. J. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0520 · Cited by 7
The diagnostic and prognostic value of tau‐PET in amnestic MCI with different FDG‐PET subtypes
Boccalini, C., Caminiti, S., Chiti, A., Frisoni, G., Garibotto, V., & Perani, D. (2024) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.52039 · Cited by 6
Rauchmann, B., Ersözlü, E., Luedecke, D., Franzmeier, N., & Perneczky, R. (2025) · Scientific Reports · doi:10.1038/s41598-025-98338-9 · Cited by 8
Oatman, S. R., Reddy, J. S., Atashgaran, A., Wang, X., Min, Y., Quicksall, Z., Vanelderen, F., Carrasquillo, M. M., Liu, C.-C., Yamazaki, Y., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68864-9 · Cited by 6
Self-citationPatwekar, 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
Ingrassia, L., Boluda, S., Potier, M., Haı̈k, S., Jiménez, G., Kar, A., Racoceanu, D., Delatour, B., & Stimmer, L. (2024) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlae048 · Cited by 6
Examining heterogeneity in dementia using data-driven unsupervised clustering of cognitive profiles
Kumar, S., Oh, I. Y., Schindler, S. E., Ghoshal, N., Abrams, Z. B., & Payne, P. (2024) · PLoS ONE · doi:10.1371/journal.pone.0313425 · Cited by 6
Sekiya, H., Franke, L., Ono, D., Deture, M. A., Ross, O. A., Murray, M. E., McLean, P. J., Ferman, T. J., & Dickson, D. W. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70374 · Cited by 6
Self-citationWhy is Alzheimer disease confused with other dementias?
Aygün, D., & Güngör, İ. L. (2015) · TURKISH JOURNAL OF MEDICAL SCIENCES · doi:10.3906/sag-1405-47 · Cited by 6
The NGF Metabolic Pathway: New Opportunities for Biomarker Research and Drug Target Discovery
Pentz, R., & Iulita, M. F. (2021) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-74046-7_4 · Cited by 7
Targeting the microbiota-mitochondria crosstalk in neurodegeneration with senotherapeutics
Homolak, J. (2023) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2023.02.018 · Cited by 8
Hippocampal-sparing Alzheimer’s disease presenting as corticobasal syndrome
Malkani, R. G., Dickson, D. W., & Simuni, T. (2011) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2011.11.022 · Cited by 6
Self-citationFujishiro, H., Iritani, S., Hattori, M., Sekiguchi, H., Matsunaga, S., Habuchi, C., Torii, Y., Umeda, K., Ozaki, N., Yoshida, M., et al. (2015) · Psychogeriatrics · doi:10.1111/psyg.12105 · Cited by 6
Jung, N.-Y., Lee, J.-H., Lee, Y.-M., Shin, J.-H., Shin, M., Lee, M., Pak, K., Hwang, C., Ahn, J., Sung, S., et al. (2018) · Neurocase · doi:10.1080/13554794.2018.1494290 · Cited by 6
Wheatley, S., Mohanty, R., Poulakis, K., Levin, F., Muehlboeck, J., Nordberg, A. K., Grothe, M. J., Ferreira, D., & Westman, E. (2024) · Brain Communications · doi:10.1093/braincomms/fcae426 · Cited by 5
Wang, L., Venkatesh, S., Morris, M. M., Li, M., Srivastava, R., Visweswaran, S., López, O. L., Xia, Z., & Cai, T. (2026) · Communications Medicine · doi:10.1038/s43856-026-01511-y · Cited by 5
Lu, J., Chen, K., Lin, H., Ju, Z., Ge, J., Lu, J., Guan, Y., Guo, Q., Chu, S., Zhao, Q., et al. (2025) · Annals of Nuclear Medicine · doi:10.1007/s12149-025-02025-8 · 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
Rudroff, T. (2026) · GeroScience · doi:10.1007/s11357-026-02400-x · Cited by 6
Celebrating neuropathology's contributions to Alzheimer's Disease Research Centers
Fischer, D. L., Grinberg, L. T., Ahrendsen, J. T., Beach, T. G., Bieniek, K. F., Castellani, R. J., Chkheidze, R., Cobos, I., Cohen, M. L., Crary, J. F., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70734 · Cited by 6
Self-citationZhang, B., Lin, L., Liu, L., Shen, X., & Wu, S. (2022) · Brain Sciences · doi:10.3390/brainsci12020187 · Cited by 5
Pelak, V. S., Mahmood, A., & Abe-Ridgway, K. (2022) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-022-01238-y · Cited by 5
Uncovering the Significance of STEP61 in Alzheimer’s Disease: Structure, Substrates, and Interactome
Bagwe, P. V., Deshpande, R. D., Juhász, G., Sathaye, S. S., & Joshi, S. V. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-023-01364-2 · Cited by 5
Neurodegeneration: 2022 update
Crary, J. F. (2022) · Free Neuropathology · doi:10.17879/freeneuropathology-2022-3866 · Cited by 5
Lima, B. S., Binns, M. A., Black, S. E., Fischer, C. E., Freedman, M., Kumar, S., Lahiri, D., Roncero, C. T., Strother, S. C., Tang‐Wai, D. F., et al. (2023) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5960 · Cited by 5
Potential Therapeutic Strategies to Prevent the Progression of Alzheimer to Disease States
Aso, E., & Ferrer, I. (2013) · InTech eBooks · doi:10.5772/54783 · Cited by 5
AD pathology—emerging subtypes or age-of-onset spectrum?
Masliah, E., & Hansen, L. A. (2011) · Nature Reviews Neurology · doi:10.1038/nrneurol.2011.205 · Cited by 5
Visual short-term memory binding deficits in Alzheimer's disease: a reply to Parra's commentary.
Liang, Y., Pertzov, Y., Nicholas, J. M., Henley, S. M. D., Crutch, S. J., Woodward, F., & Masud Husain, B. (2016) · Cortex · doi:10.1016/j.cortex.2016.11.003 · Cited by 5
Multifaceted Therapy of Nanocatalysts in Neurological Diseases
Wang, H., Chen, X., Mao, M., & Xue, X. (2021) · Journal of Biomedical Nanotechnology · doi:10.1166/jbn.2021.3063 · Cited by 5
Az Alzheimer-kór heterogenitása
Balázs, N., & Kovács, T. (2021) · Orvosi Hetilap · doi:10.1556/650.2021.32130 · Cited by 5
Sensi, S. L., Russo, M., & Tiraboschi, P. (2023) · Handbook of clinical neurology · doi:10.1016/b978-0-323-85538-9.00015-8 · Cited by 5
Almkvist, O., & Nordberg, A. K. (2023) · Alzheimer s Research & Therapy · doi:10.1186/s13195-023-01231-8 · Cited by 5
Advancing Diagnostic Certainty in Alzheimer’s Disease: A Synthesis of the Diagnostic Process
Hazan, J., Liu, K. Y., Fox, N. C., & Howard, R. J. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230186 · Cited by 5
Kim, H.-R., Park, Y. H., Jang, J., Park, Y. H., Wang, M. J., Baek, M. J., Kim, B. J., Ahn, S., & Kim, S. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160339 · Cited by 5
Sha, S. J., & Rabinovici, G. D. (2016) · Wiley eBooks · doi:10.1002/9781118797662.ch3 · Cited by 5
Different patterns of hippocampal subfield pathology in Lewy body disease and Alzheimer's disease
Jellinger, K. A. (2021) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12695 · Cited by 5
Ferraro, P. M., Filippi, L., Ponzano, M., Signori, A., Orso, B., Massa, F., Arnaldi, D., Caneva, S., Argenti, L., Losa, M., et al. (2024) · Journal of Alzheimer s Disease · doi:10.1177/13872877241299843 · Cited by 4
Sato, H., Hanazawa, R., Suzuki, K., Hashizume, A., & Hirakawa, A. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3546020 · Cited by 4
Serio, M. A., Dethloff, D. R., Curry, G. C., Beesley, M. L., Shekoohi, S., & Kaye, A. D. (2025) · Advances in Therapy · doi:10.1007/s12325-025-03337-x · Cited by 4
Metadata
- Authors
- Murray, M. E., Graff-Radford, N. R., Ross, O. A., Petersen, R. C., Duara, R., & Dickson, D. W.
- Affiliations
- Mayo Clinic (US)
- Mount Sinai Medical Center (US)
- Corresponding author
- Dickson, Dennis W
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 10
- Issue
- 9
- Pages
- 785-796
- ISSN
- 1474-4422 (ISSN-L)
- PMC
- PMC3175379
- OpenAlex
- W2075444764
- Cited by
- 972
- References
- 44
- Citations by year
- 2026: 60 · 2025: 80 · 2024: 78 · 2023: 96 · 2022: 80 · 2021: 104 · 2020: 70 · 2019: 73 · 2018: 56 · 2017: 50 · 2016: 55 · 2015: 37 · 2014: 36 · 2013: 54 · 2012: 35
- FWCI
- 29.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Lancet Neurology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Mayo Clinic
- National Institutes of Health
- National Institute on Aging (P50‐AG16574, U01AG06786, P50 AG215711, P01AG03949, U01AG006786, P01AG003949, R21AG038736, P50AG025711, P01AG017216, P50AG016574)
- National Institute of Neurological Disorders and Stroke (P50NS072187)
- 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, neurofibrillary tangles, Braak staging, hippocampal sparing, hippocampal atrophy, tau pathology, clinical features, atypical Alzheimer's disease, sex differences, age at death, genetic risk factors
- MeSH terms
- Adult, Aged, Aged, 80 and over, Alzheimer Disease, Female, Hippocampus, Humans, Limbic System, Male, Middle Aged, Retrospective Studies, Cohort Studies, Neurofibrillary Tangles, tau Proteins, Apolipoprotein E4
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
