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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.
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“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]
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“Three major subtypes of AD can be classified by the relative density of hippocampal neurofibrillary tangles with respect to neocortical tangles [3].”
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“Genetic analyses of APOE suggest APOE4 is more closely linked to typical or limbic predominant than hippocampal sparing AD [3].”
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“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]
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“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]
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“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]
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“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]
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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 501–600 of 971
Clinical stratification of subtypes of Alzheimer's disease
Kovács, G. G. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70209-0 · Cited by 17
TDP-43-associated atrophy in brains with and without frontotemporal lobar degeneration
Buciuc, M., Martin, P. R., Tosakulwong, N., Murray, M. E., Petrucelli, L., Senjem, M. L., Spychalla, A. J., Knopman, D. S., Boeve, B. F., Petersen, R. C., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.102954 · Cited by 17
Self-citationThe Role of Clearance in Neurodegenerative Diseases
Brennan, G. S., Thompson, T., Oliveri, H., Rognes, M. E., & Goriely, A. (2023) · SIAM Journal on Applied Mathematics · doi:10.1137/22m1487801 · Cited by 20
Gogola, A., Lopresti, B. J., Tudorascu, D., Snitz, B. E., Minhas, D. S., Doré, V., Ikonomović, M. D., Shaaban, C. E., Matan, C., Bourgeat, P., et al. (2023) · Journal of Nuclear Medicine · doi:10.2967/jnumed.123.265941 · Cited by 16
Gawor, K., Tomé, S. O., Vandenberghe, R. R., Damme, P. V., Vandenbulcke, M., Otto, M., Arnim, C. A. F. V., Ghebremedhin, E., Ronisz, A., Ospitalieri, S., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae442 · Cited by 22
Kim, H. J., Park, J.-Y., Seo, S. W., Jung, Y. H., Kim, Y., Jang, H., Kim, S. T., Seong, J., & Na, D. L. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.010 · Cited by 17
Tatiparti, K., Sau, S., Rauf, M. A., & Iyer, A. K. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.09.025 · Cited by 16
The etiopathogenetic and pathophysiological spectrum of parkinsonism
Bologna, M., Truong, D. D., & Jankovic, J. J. (2021) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2021.120012 · Cited by 18
Planche, V., Coupé, P., Helmer, C., Goff, M. L., Amieva, H., Tison, F., Dartigues, J., & Catheline, G. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.03.006 · Cited by 17
Hyperconnectivity matters in early-onset Alzheimer's disease: a resting-state EEG connectivity study
Fide, E., Gündüz, D. H., Öztura, İ., & Yener, G. (2022) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2022.10.003 · Cited by 17
TDP‐43 pathology effect on volume and flortaucipir uptake in Alzheimer's disease
Carlos, A. F., Tosakulwong, N., Weigand, S. D., Senjem, M. L., Schwarz, C. G., Knopman, D. S., Boeve, B. F., Petersen, R. C., Nguyen, A. T., Reichard, R. R., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12878 · Cited by 16
Self-citationVisual atrophy rating scales and amyloid PET status in an Alzheimer's disease clinical cohort
Loreto, F., Gontsarova, A., Scott, G., Patel, N., Win, Z., Carswell, C. J., Perry, R. J., & Malhotra, P. (2023) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.51749 · Cited by 16
Bao, J., Chang, C., Zhang, Q., Saykin, A. J., Shen, L., Long, Q., & Initiative, F. T. A. D. N. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad073 · Cited by 16
The Progressive Acalculia Presentation of Parietal Variant Alzheimer’s Disease
Mendez, M., Moheb, N., Desarzant, R. E., & Teng, E. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180024 · Cited by 10
Zheng, D. D., Curiel, R. E., Duara, R., Kitaigorodsky, M., Crocco, E., & Loewenstein, D. (2021) · International Psychogeriatrics · doi:10.1017/s1041610220004007 · Cited by 16
Self-citationPursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models
Gurdon, B., & Kaczorowski, C. C. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105558 · Cited by 16
Ma, W., Tian, M.-J., Yao, Q.-L., Li, Q., Tang, F., Xiao, C., Shi, J., & Chen, J. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13775 · Cited by 13
Positron Emission Tomography in Animal Models of Tauopathies
Cao, L., Kong, Y., Ji, B., Ren, Y., Guan, Y., & Ni, R. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.761913 · Cited by 14
Old age amyotrophic lateral sclerosis and limbic TDP‐43 pathology
Murakami, A., Koga, S., Sekiya, H., Oskarsson, B., Boylan, K., Petrucelli, L., Josephs, K. A., & Dickson, D. W. (2022) · Brain Pathology · doi:10.1111/bpa.13100 · Cited by 15
Self-citationSimulated brain biopsy for diagnosing neurodegeneration using autopsy-confirmed cases
Venneti, S., Robinson, J. L., Roy, S., White, M. T., Baccon, J., Xie, S. X., & Trojanowski, J. Q. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0880-5 · Cited by 17
Disentangling Heterogeneity in Alzheimer’s Disease: Two Empirically-Derived Subtypes
Blanken, A. E., Dutt, S., Li, Y., Nation, D. A., & Initiative, A. D. N. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190230 · Cited by 16
Scarpelli, M., Healey, D. R., Mehta, S. V., Kodibagkar, V. D., & Quarles, C. C. (2020) · Scientific Reports · doi:10.1038/s41598-020-74459-1 · Cited by 16
Buciuc, M., Whitwell, J. L., Baker, M., Rademakers, R., Dickson, D. W., & Josephs, K. A. (2021) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12727 · Cited by 16
Self-citationA review of neuroimaging-based data-driven approach for Alzheimer’s disease heterogeneity analysis
Liu, L., Sun, S., Kang, W., Wu, S., & Lin, L. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2023-0033 · Cited by 16
Morderer, D., Wren, M. C., Liu, F., Kouri, N., Maistrenko, A., Khalil, B., Pobitzer, N., Salemi, M., Phinney, B. S., Bu, G., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00817-0 · Cited by 21
Self-citationMurray, M. E., Smith, C., Menon, V., Keene, C. D., Lein, E. S., Hawrylycz, M., Aguzzi, A., Benedetti, B. L., Brose, K., Caetano-Anollés, K., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.06.014 · Cited by 16
Self-citationAlzheimerRAG: Multimodal Retrieval-Augmented Generation for Clinical Use Cases
Lahiri, A. K., & Hu, Q. (2025) · Machine Learning and Knowledge Extraction · doi:10.3390/make7030089 · Cited by 26
Understanding Biomarkers of Neurodegeneration: Novel approaches to detecting tau pathology
Cook, C. N., Murray, M. E., & Petrucelli, L. (2015) · Nature Medicine · doi:10.1038/nm.3809 · Cited by 15
Self-citationLamar, M., Drabick, D. A. G., Boots, E. A., Agarwal, P., Emrani, S., Delano‐Wood, L., Bondi, M. W., Barnes, L. L., & Libon, D. J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210110 · Cited by 17
de Oliveira, F. F., Miraldo, M. C., de Castro-Neto, E. F., de Almeida, S. S., Matas, S. L. D. A., Bertolucci, P. H. F., & Naffah‐Mazzacoratti, M. D. G. (2023) · Aging Clinical and Experimental Research · doi:10.1007/s40520-023-02452-5 · Cited by 15
Wang, J., Wang, M., Ren, S., Huang, L., He, K., Li, J., Hua, F., Guan, Y., Guo, Q., Huang, Q., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-221166 · Cited by 15
Chen, P., Zhang, S., Zhao, K., Kang, X., Rittman, T., & Liu, Y. (2023) · Brain Research · doi:10.1016/j.brainres.2023.148675 · Cited by 19
Neural cell diversity in the light of single-cell transcriptomics
Moya, S. M. F., Ganesh, A. J., & Plass, M. (2023) · Transcription · doi:10.1080/21541264.2023.2295044 · Cited by 14
Yushkevich, P. A., Ittyerah, R., Li, Y., Denning, A. E., Sadeghpour, N., Lim, S., McGrew, E., Xie, L., de Florès, R., Brown, C. A., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14161 · Cited by 16
Browne, D. F., Smirnov, D. S., Coughlin, D. G., Peng, I., Standke, H. G., Kim, Y., Pizzo, D. P., Unapanta, A., Andreasson, T., Hiniker, A. O., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56469-7 · Cited by 16
Prodromal posterior cortical atrophy: clinical, neuropsychological, and radiological correlation
Chan, L., Lynch, W., May, M. G. D., Horton, J. C., Miller, B. L., & Rabinovici, G. D. (2013) · Neurocase · doi:10.1080/13554794.2013.860176 · Cited by 16
Challenges in the Neuropathological Diagnosis of Dementias
Jellinger, K. A. (2012) · International Journal of Neuropathology · doi:10.7726/ijn.2013.1002 · Cited by 15
Feng, X., Yang, J., Laine, A. F., & Angelini, E. D. (2018) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2018.8363868 · Cited by 15
Hayashi, H., Kobayashi, R., Kawakatsu, S., Morioka, D., & Otani, K. (2020) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000507654 · Cited by 16
Longitudinal cognitive performance of Alzheimer's disease neuropathological subtypes
Uretsky, M., Gibbons, L. E., Mukherjee, S., Trittschuh, E. H., Fardo, D. W., Boyle, P. A., Keene, C. D., Saykin, A. J., Crane, P. K., Schneider, J. A., et al. (2021) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12201 · Cited by 19
Price, C. C., Tanner, J. J., Schmalfuss, I. M., Brumback, B., Heilman, K. M., & Libon, D. J. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150407 · Cited by 15
Lee, W., Han, C. E., Aganj, I., Seo, S., & Seong, J. (2018) · Journal of Alzheimer's Disease · doi:10.3233/jad-180027 · Cited by 17
ELISA Evaluation of Tau Accumulation in the Brains of Patients with Alzheimer Disease
Shinohara, M., Hirokawa, J., Shimodaira, A., Tashiro, Y., Suzuki, K., Gheni, G., Fukumori, A., Matsubara, T., Morishima, M., Saito, Y., et al. (2021) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlab047 · Cited by 16
Deep learning for risk-based stratification of cognitively impaired individuals
Romano, M. F., Zhou, X., Balachandra, A. R., Jadick, M. F., Qiu, S., Nijhawan, D. A., Joshi, P. S., Mohammad, S., Lee, P. H., Smith, M. J., et al. (2023) · iScience · doi:10.1016/j.isci.2023.107522 · Cited by 13
Atypical clinical variants of Alzheimer’s disease: are they really atypical?
Whitwell, J. L. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1352822 · Cited by 15
Taipa, R. J. F., Sousa, A. L., Pires, M. M., & Sousa, N. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160121 · Cited by 15
Emrani, S., Wasserman, V., Matusz, E. F., Miller, D., Lamar, M., Price, C. C., Ginsberg, T. B., Au, R., Swenson, R., & Libon, D. J. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000808 · Cited by 16
Kärkkäinen, M., Prakash, M., Zare, M., Tohka, J., & Initiative, A. D. N. (2020) · International Journal of Alzheimer s Disease · doi:10.1155/2020/2142854 · Cited by 15
Shiino, A., Shirakashi, Y., Ishida, M., Tanigaki, K., & Initiative, J. A. D. N. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12246 · Cited by 14
Structural MRI Biomarkers of Mild Cognitive Impairment from Young Elders to Centenarians
Yang, Z., Wen, W. X., Jiang, J., Crawford, J. D., Reppermund, S., Levitan, C., Slavin, M. J., Kochan, N. A., RICHMOND, R. L., Brodaty, H., et al. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666151218150534 · Cited by 14
The Depistage Cognitif de Quebec: a new clinician’s tool for early recognition of atypical dementia
Sellami, L., Meilleur-Durand, S., Chouinard, A.-M., Bergeron, D., Verret, L., Poulin, S., Jean, L., Fortin, M.-P., Nadeau, Y., Molin, P., et al. (2018) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000494348 · Cited by 14
Topiwala, A., Suri, S., Allan, C. L., Valkanova, V., Filippini, N., Sexton, C. E., Heise, V., Zsoldos, E., Mahmood, A., Singh‐Manoux, A., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211273 · Cited by 16
Paasila, P. J., Davies, D., Sutherland, G. T., & Goldsbury, C. S. (2020) · Free Neuropathology · doi:10.17879/freeneuropathology-2020-2845 · Cited by 16
Recent Increases in Hippocampal Tau Pathology in the Aging Japanese Population: The Hisayama Study
Hamasaki, H., Honda, H., Okamoto, T., Koyama, S., Suzuki, S. O., Ohara, T., Ninomiya, T., Kiyohara, Y., & Iwaki, T. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160521 · Cited by 15
A future for PET imaging in Alzheimer’s disease
Kas, A., Migliaccio, R., & Tavitian, B. (2019) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-019-04640-w · Cited by 11
Younes, K., Smith, V., Johns, E., Carlson, M. L., Winer, J., He, Z., Henderson, V. W., Greicius, M. D., Young, C. B., & Mormino, E. C. (2024) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2024.05.002 · Cited by 13
Chung, J., Sahelijo, N. J., Maruyama, T., Hu, J., Panitch, R., Xia, W., Mez, J., Stein, T. D., Initiative, T. A. D. N., Saykin, A. J., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13069 · Cited by 13
Frontal variant Alzheimer's disease: A systematic narrative synthesis.
Brown, A., Salo, S. K., & Savage, G. (2023) · Cortex; a journal devoted to the study of the nervous system and behavior · doi:10.1016/j.cortex.2023.05.007 · Cited by 19
Mai, Y., Cao, Z., Zhao, L., Yu, Q., Xu, J., Liu, W., Liu, B., Tang, J., Luo, Y., Liao, W., et al. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14492 · Cited by 12
Imaging Neuroinflammation: Quantification of Astrocytosis in a Multitracer PET Approach
Rodriguez‐Vieitez, E., Kumar, A., Malarte, M., Ioannou, K., Rocha, F. M., & Chiotis, K. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3774-6_13 · Cited by 14
Genetics and Neuropathology of Neurodegenerative Dementias
Scholz, S. W., & Cobos, I. (2024) · CONTINUUM Lifelong Learning in Neurology · doi:10.1212/con.0000000000001505 · Cited by 13
Insights into cognitive aging and Alzheimer’s disease using amyloid PET and structural MRI scans
Duara, R., Barker, W., Loewenstein, D., Greig, M. T., Rodriguez, R. A., Goryawala, M., Zhou, Q., & Adjouadi, M. (2015) · Clinical and Translational Imaging · doi:10.1007/s40336-015-0110-6 · Cited by 15
Self-citationThe use of localized proteomics to identify the drivers of Alzheimer's disease pathogenesis
Drummond, E., & Wısnıewskı, T. (2017) · Neural Regeneration Research · doi:10.4103/1673-5374.208570 · Cited by 13
Kawakatsu, S., Kobayashi, R., Hayashi, H., Morioka, D., Utsunomiya, A., Kabasawa, T., Ohe, R., & Otani, K. (2021) · Neuropathology · doi:10.1111/neup.12765 · Cited by 12
Wu, Y., Wu, X., Gao, L., Yan, Y., Geng, Z., Zhou, S., Zhu, W., Tian, Y., Yu, Y., Wei, L., et al. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.06.006 · Cited by 13
Initial Memory Deficit Profiles in Patients with a Cerebrospinal Fluid Alzheimer's Disease Signature
Xie, J., Gabelle, A., Dorey, A., Garnier‐Crussard, A., Perret‐Liaudet, A., Delphin‐Combe, F., Bathsavanis, A., Dauphinot, V., Lehmann, S., Mercier, B., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131916 · Cited by 15
Distinct cognitive phenotypes in Alzheimer's disease in older people
Vardy, E. R. L. C., Ford, A. H., Gallagher, P., Watson, R., McKeith, I. G., Blamire, A. M., & O'Brien, J. T. (2013) · International Psychogeriatrics · doi:10.1017/s1041610213000914 · Cited by 13
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models
Yang, J., Feng, X., Laine, A. F., & Angelini, E. D. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2928831 · Cited by 13
Koric, L., Ranjeva, J., Félician, O., Guye, M., Anna, F. D., Soulier, E., Didic, M., & Ceccaldi, M. P. (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000351667 · Cited by 16
Molecular Subtyping of Mild Cognitive Impairment based on Genetic Polymorphism and Gene Expression
Li, H., Yuan, S.-X., Wu, J., Zhang, X., Liu, Y., & Sun, X. (2021) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2020.65 · Cited by 12
Boon, B. D. C., Labuzan, S. A., Peng, Z., Matchett, B. J., Kouri, N., Hinkle, K. M., Lachner, C., Ross, O. A., Ertekin‐Taner, N., Carter, R. E., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207685 · Cited by 11
Self-citationAlzheimer’s disease biomarker profiling in a memory clinic cohort without common comorbidities
Daniilidou, M., Eroli, F., Alanko, V., Goikolea, J., Latorre‐Leal, M., Rodriguez‐Rodriguez, P., Griffiths, W. J., Wang, Y., Pacciarini, M., Brinkmalm, A., et al. (2023) · Brain Communications · doi:10.1093/braincomms/fcad228 · Cited by 14
Ding, J., Shen, C., Wang, Z., Yang, Y., Fakhri, G. E., Lu, J., Liang, D., Zheng, H., Zhou, Y., Sun, T., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad312 · Cited by 13
Novel CSF tau biomarkers can be used for disease staging of sporadic Alzheimer’s
Salvadó, G., Horie, K., Barthélemy, N. R., Vogel, J. W., Binette, A. P., Chen, C. D., Aschenbrenner, A. J., Gordon, B. A., Benzinger, T. L. S., Holtzman, D. M., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.075367 · Cited by 14
Kim, J., Kim, J., Park, Y., Yoo, H., Kim, J. P., Jang, H., Park, H., & Seo, S. W. (2024) · Communications Biology · doi:10.1038/s42003-024-05787-5 · Cited by 16
Disentangling Alzheimer's disease
Duyckaerts, C. J. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70171-5 · Cited by 12
Characterization of a temporoparietal junction subtype of Alzheimer's disease
Meyer, F., Wehenkel, M., Phillips, C. L. M., Geurts, P., Hustinx, R., Bernard, C., Bastin, C., Salmon, É., & Initiative, T. A. D. N. (2019) · Human Brain Mapping · doi:10.1002/hbm.24701 · Cited by 11
Cho, H., Baek, M. S., Lee, H. S., Lee, J., Ryu, Y. H., & Lyoo, C. H. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00685-4 · Cited by 13
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Lenhart, L., Seiler, S., Pirpamer, L., Goebel, G., Potrusil, T., Wagner, M., Bianco, P. D., Ransmayr, G. N., Schmidt, R., Benke, T., et al. (2021) · Brain Sciences · doi:10.3390/brainsci11111491 · Cited by 12
Persson, K., Edwin, T. H., Knapskog, A., Tangen, G. G., Selbæk, G., & Engedal, K. (2022) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000522382 · Cited by 12
Swan, A., Waddell, B., Holloway, G. J. T., Bak, T. H., Colville, S., Khan, Z. H., & Pal, S. (2015) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000369551 · Cited by 12
Bouts, M. J. R. J., van der Grond, J., Vernooij, M. W., Koini, M., Schouten, T. M., de Vos, F., Feis, R. A., Cremers, L. G. M., Lechner, A., Schmidt, R., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24554 · Cited by 10
Decoding Causal Links Between Sleep Apnea and Alzheimer’s Disease
Ferini‐Strambi, L., Hensley, M., & Salsone, M. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201066 · Cited by 12
Bolton, C. J., & Tam, J. W. (2021) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/08919887211044755 · Cited by 12
Krbot, K., Hermann, P., Skorić, M. K., Zerr, I., Sepulveda‐Falla, D., Goebel, S., Matschke, J., Krasemann, S., & Glatzel, M. (2018) · Neuropathology · doi:10.1111/neup.12517 · Cited by 11
The neuropathological landscape of Hispanic and non-Hispanic White decedents with Alzheimer disease
Scalco, R., Saito, N. H., Beckett, L. A., Nguyen, M.-L., Huie, E. Z., Wang, H.-P., Flaherty, D., Honig, L. S., DeCarli, C. S., Rissman, R. A., et al. (2023) · Acta Neuropathologica Communications · doi:10.1186/s40478-023-01574-1 · Cited by 11
Basheer, N., Buée, L., Brion, J., Smolek, T., Muhammadi, M. K., Hritz, J., Hromádka, T., Dewachter, I., Wegmann, S., Landrieu, I., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01748-5 · Cited by 12
Gebre, R. K., Moscoso, A., Raghavan, S., Wiste, H. J., Heeman, F., Costoya‐Sánchez, A., Schwarz, C. G., Spychalla, A. J., Lowe, V. J., Graff‐Radford, J., et al. (2024) · Journal of Nuclear Medicine · doi:10.2967/jnumed.123.267273 · Cited by 15
Self-citationXu, J., Liu, B., Shang, G., Feng, Z., Yang, H., Chen, Y., Yu, X., & Mao, Z. (2025) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.70285 · Cited by 11
Connectivity as a universal predictor of tau progression in atypical Alzheimer’s disease
de Bruin, H., Groot, C., Barthel, H., Bischof, G. N., Blazhenets, G., Boellaard, R., Boon, B. D. C., Brendel, M., Cash, D. M., Coath, W., et al. (2025) · Brain · doi:10.1093/brain/awaf279 · Cited by 13
Royall, D. R., & Palmer, R. F. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131733 · Cited by 11
Morar, U., Izquierdo, W., Martin, H., Forouzannezhad, P., Zarafshan, E., Unger, E., Bursac, Z., Cabrerizo, M., Barreto, A. B., Vaillancourt, D. E., et al. (2022) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12258 · Cited by 11
Self-citationMolecular PET Imaging in Alzheimer’s Disease
Thientunyakit, T., Shiratori, S., Ishii, K., & Gelovani, J. G. (2022) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-022-00717-4 · Cited by 12
Apraxia and dementia severity in Alzheimer’s disease: a systematic review
Vakkila, E., & Jehkonen, M. (2023) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2023.2199971 · Cited by 9
Amini, M., Pedram, M. M., Moradi, A., Jamshidi, M., & Ouchani, M. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/7413081 · Cited by 11
Mez, J., Cosentino, S., Brickman, A. M., Huey, E. D., & Mayeux, R. P. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-130320 · Cited by 10
Comorbid neuropathology and atypical presentation of Alzheimer's disease
Piña‐Escudero, S. D., Joie, R. L., Spina, S., Hwang, J., Miller, Z., Huang, E. J., Grant, H. E., Mundada, N. S., Boxer, A. L., Gorno‐Tempini, M., et al. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12602 · Cited by 10
Katsumi, Y., Touroutoglou, A., Brickhouse, M. J., Eloyan, A., Eckbo, R., Zaitsev, A., Joie, R. L., Lagarde, J., Schonhaut, D. R., Thangarajah, M., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14489 · Cited by 12
Self-citationOno, D., Sekiya, H., Maier, A. R., Murray, M. E., Koga, S., & Dickson, D. W. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.14628 · Cited by 12
Self-citationHojjati, S. H., Chiang, G. C.-Y., Butler, T., Chen, K., Khalafi, M., Yazdi, B. G., Foldi, N. S., Nayak, S., de Leon, M. J., Li, Y., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70153 · Cited by 12
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
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