The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Neuronal Hypertrophy in Asymptomatic Alzheimer Disease
Open accessAbstract
The pathologic changes of Alzheimer disease (AD) evolve very gradually over decades before the disease becomes clinically manifest. Thus, it is not uncommon to find substantial numbers of Abeta plaques and neurofibrillary tangles in autopsy brains of older subjects with documented normal cognition, a state that we define as asymptomatic AD (ASYMAD). The goal of this study is to understand the morphometric substrate of ASYMAD subjects compared with mild cognitive impairment and definite AD cases. We used designed-based stereology to measure the volumes of neuronal cell bodies, nuclei, and nucleoli in 4 cerebral regions: anterior cingulate gyrus, posterior cingulate gyrus, primary visual cortex, and CA1 of hippocampus. We examined and compared autopsy brains from 4 groups (n = 15 each) of participants in the Baltimore Longitudinal Study of Aging: ASYMAD, mild cognitive impairment, AD, and age-matched controls. We found significant hypertrophy of the neuronal cell bodies, nuclei, and nucleoli of CA1 of hippocampus and anterior cingulate gyrus neurons in ASYMAD subjects compared with control and mild cognitive impairment cases. In the posterior cingulate gyrus and primary visual cortex, the hypertrophy was limited to the nuclei and nucleoli. The hypertrophy of cortical neurons and their nuclei and nucleoli in ASYMAD may represent an early reaction to the presence of neurotoxic Abeta or tau, or a compensatory mechanism that prevents the progression of the disease into dementia.
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
“These individuals have neuritic plaque and NFTs Braak stages at autopsy comparable to those of AD subjects with dementia, and the literature refers to them as resilient [31], Nondemented with AD Neuropathology (NDAN) [83], or asymptomatic AD (AsymAD) [22, 42].”
From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [42]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“studies have demonstrated that AsymAD brains exhibit no signs of notorious synaptic or neuronal deterioration [8, 42, 73]”
From Enhanced microglial dynamics and a paucity of tau seeding in the amyloid plaque microenvironment contribute to cognitive resilience in Alzheimer’s disease (2024) · cites this paper as [42]
Experimental — accuracy not yet measured
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
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
Self-citationBlessed, G., Tomlinson, B. E., & Roth, M. (1968) · British Journal of Psychiatry · doi:10.1192/bjp.114.512.797 · Cited by 4,117
Braak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859
Observations on the brains of demented old people
Tomlinson, B. E., Blessed, G., & Roth, M. (1970) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(70)90063-8 · Cited by 2,084
Intracellular amyloid-β in Alzheimer's disease
LaFerla, F. M., Green, K. N., & Oddo, S. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2168 · Cited by 1,942
Research works printed but not linked: 3
- American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders-Third Edition-Revised (DSM-II-R) . Washington, DC: American Psychiatric Press, Inc., 1987
- Luna G . AFIP Manual of Histologic Staining Techniques. 3rd ed. New York, NY: McGraw-Hill Publications, 1968
- Lorente De Nó, 1933, Studies on the structure of the cerebral cortex, I. The area entorhinalis. J Psychol Neurol, 45, 381
Cited by
Sorted by citations
Items 101–192 of 192
Higher cortical thickness/volume in Alzheimer’s-related regions: protective factor or risk factor?
Williams, M. E., Elman, J. A., Bell, T. R., Dale, A. M., Eyler, L. T., Fennema‐Notestine, C., Franz, C. E., Gillespie, N. A., Hagler, D. J., Lyons, M. J., et al. (2023) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.05.004 · Cited by 21
Increased Cortical Thickness in Alzheimer's Disease
Phan, T. X., Baratono, S. R., Drew, W., Tetreault, A. M., Fox, M., Darby, R. R., & Initiative, A. D. N. (2024) · Annals of Neurology · doi:10.1002/ana.26894 · Cited by 27
Neuropathological Profile of Mild Cognitive Impairment From a Population Perspective
Stephan, B. C. M., Matthews, F. E., Hunter, S., Savva, G. M., Bond, J., McKeith, I. G., Ince, P. G., & Brayne, C. (2011) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e31822fc24d · Cited by 22
Identifying the Main Functional Pathways Associated with Cognitive Resilience to Alzheimer’s Disease
Pérez-González, M., Badesso, S., Lorenzo, E., Guruceaga, E., Pérez-Mediavilla, A., García-Osta, A., & Cuadrado-Tejedor, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22179120 · Cited by 16
Genetic modification of the relationship between phosphorylated tau and neurodegeneration
Hohman, T. J., Koran, M. E. I., Thornton‐Wells, T. A., & Initiative, A. D. N. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.12.022 · Cited by 21
Neuronal densities and vascular pathology in the hippocampal formation in CADASIL
Yamamoto, Y., Hase, Y., Ihara, M., Khundakar, A. A., Roeber, S., Duering, M., & Kalaria, R. N. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.09.016 · Cited by 17
Iacono, D., Zandi, P. P., Gross, M. D., Markesbery, W. R., Pletniková, O., Rudow, G. L., & Troncoso, J. C. (2015) · Oncotarget · doi:10.18632/oncotarget.4118 · Cited by 18
Self-citationRole of nucleolar dysfunction in neurodegenerative disorders: a game of genes?
Parlato, R., & Bierhoff, H. (2015) · AIMS molecular science · doi:10.3934/molsci.2015.3.211 · Cited by 16
Gürel, B., Cansev, M., Koç, C., Öcalan, B., Çakır, A., Aydın, S., Kahveci, N., Ulus, İ. H., Şahin, B., Karayel‐Basar, M., et al. (2019) · Current Alzheimer Research · doi:10.2174/1567205016666190730155926 · Cited by 16
Road to Alzheimer’s Disease: The Pathomechanism Underlying
Anand, R., Kaushal, A., Wani, W. Y., & Gill, K. D. (2011) · Pathobiology · doi:10.1159/000332218 · Cited by 16
SMN-deficient cells exhibit increased ribosomal DNA damage
Karyka, E., Ramirez, N. B., Webster, C. P., Marchi, P. M., Graves, E. J., Godena, V. K., Marrone, L., Bhargava, A., Ray, S., Ning, K., et al. (2022) · Life Science Alliance · doi:10.26508/lsa.202101145 · Cited by 15
Haley, A. P., Oleson, S., Pasha, E. P., Birdsill, A. C., Kaur, S., Thompson, J., & Tanaka, H. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13673 · Cited by 14
Longitudinal brain activity changes in asymptomatic Alzheimer disease
Codispoti, K.-E., Beason‐Held, L. L., Kraut, M. A., O’Brien, R., Rudow, G. L., Pletniková, O., Crain, B. J., Troncoso, J. C., & Resnick, S. M. (2012) · Brain and Behavior · doi:10.1002/brb3.47 · Cited by 14
Self-citationIs Amnestic Mild Cognitive Impairment a Useful Concept?
Ash, E. L., & Korczyn, A. D. (2011) · Aging Health · doi:10.2217/ahe.10.90 · Cited by 14
Proapoptotic Requirement of Ribosomal Protein L11 in Ribosomal Stress-Challenged Cortical Neurons
Słomnicki, Ł. P., Hallgren, J., Vashishta, A., Smith, S. C., Ellis, S. R., & Hetman, M. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-0336-y · Cited by 14
Brain age in genetic and idiopathic Parkinson's disease
Teipel, S. J., Hoffmann, H., Storch, A., Hermann, A., Dyrba, M., & Schumacher, J. (2024) · Brain Communications · doi:10.1093/braincomms/fcae382 · Cited by 13
Wang, H., Odegaard, A., Thyagarajan, B., Hayes, J., Cruz, K. S., Derosiers, M. F., Tyas, S. L., & Gross, M. D. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-111271 · Cited by 13
González‐Escamilla, G., Atienza, M., & Cantero, J. L. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0757-1 · Cited by 15
Uyama, N., Uchihara, T., Mochizuki, Y., Nakamura, A., Takahashi, R., & Mizutani, T. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181b67678 · Cited by 13
Sanders, O. D. (2022) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-220047 · Cited by 13
Pumo, A., & Legeay, S. (2024) · Brain Research · doi:10.1016/j.brainres.2024.148817 · Cited by 14
The Nucleolus as a Stress Response Organelle
Lindström, M. S., & Latonen, L. (2013) · Springer eBooks · doi:10.1007/978-94-007-5818-6_11 · Cited by 12
Cantero, J. L., Atienza, M., Sánchez‐Juan, P., Rodríguez‐Rodríguez, E., Vázquez‐Higuera, J. L., Pozueta, A., González‐Suárez, A., Vilaplana, E., Pegueroles, J., Montal, V., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.010 · Cited by 11
Association of CSF biomarkers with MRI brain changes in Alzheimer's disease
Seidu, N. M., Kern, S., Sacuiu, S. F., Sterner, T. R., Blennow, K., Zetterberg, H., Lindberg, O. E., Ferreira, D., Westman, E., Zettergren, A., et al. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12556 · Cited by 9
Cacciaglia, R., Shekari, M., Salvadó, G., Milà‐Alomà, M., Falcón, C., Sánchez‐Benavides, G., Minguillón, C., Fauria, K., Grau‐Rivera, O., Molinuevo, J. L., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae451 · Cited by 13
Burkhart, M. C., Lee, L. Y., Vaghari, D., Toh, A. Q., Chong, E. J. Y., Chen, C., Peter Tiňo, B., & Kourtzi, Z. (2024) · Scientific Reports · doi:10.1038/s41598-024-60914-w · Cited by 12
Binnekade, T. T., Perez, R. S. G. M., Maier, A. B., Rhodius‐Meester, H. F. M., Legdeur, N., Trappenburg, M. C., Rhebergen, D., Lobbezoo, F., & Scherder, E. (2019) · Journal of Pain Research · doi:10.2147/jpr.s158488 · Cited by 9
Comptdaer, T., Tardivel, M., Schirmer, C., Buée, L., & Galas, M. (2024) · Brain Pathology · doi:10.1111/bpa.13262 · Cited by 8
Calamini, B., Geyer, N., Huss-Braun, N., Bernhardt, A., Harsany, V., Rival, P., Cindhuchao, M., Hoffmann, D., & Gratzer, S. (2021) · Disease Models & Mechanisms · doi:10.1242/dmm.048017 · Cited by 8
Fox‐Fuller, J. T., Torrico‐Teave, H., Uquillas, F. D., Chen, K., Su, Y., Chen, Y., Brickhouse, M. J., Sanchez, J. S., Agüero, C., Jacobs, H. I. L., et al. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12233 · Cited by 8
Nucleolar Organizer Regions as Transcription-Based Scaffolds of Nucleolar Structure and Function
Cockrell, A. J., & Gerton, J. L. (2022) · Results and problems in cell differentiation · doi:10.1007/978-3-031-06573-6_19 · Cited by 9
Lin, Y.-M., Chu, P., & Ouyang, P. (2019) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2019.06.057 · Cited by 7
Chaudhary, S. (2024) · American Journal of Cancer Research · doi:10.62347/wola8904 · Cited by 6
HMGA1 deficiency: a pathogenic link between tau pathology and insulin resistance
Mirabelli, M., CHIEFARI, E. D., Arcidiacono, B., Salatino, A., Pascarella, A., Morelli, M., Credendino, S. C., Brunetti, F. S., Vito, A. D., Greco, A., et al. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105700 · Cited by 6
Braïni, C., Mottolese, A., Ferrante, I., Monnier, S., & Villard, C. (2018) · Journal of Visualized Experiments · doi:10.3791/56923-v · Cited by 6
Teipel, S. J., Grazia, A., Dyrba, M., Grothe, M. J., & Pomara, N. (2024) · Scientific Reports · doi:10.1038/s41598-024-60799-9 · Cited by 6
Potential Beneficial Effects of a Diet with Walnuts in Aging and Alzheimer’s Disease
Chauhan, A., & Chauhan, V. P. S. (2012) · Springer eBooks · doi:10.1007/978-94-007-5237-5_16 · Cited by 6
Pavlović, D. M., Pavlovic, A. M., & Lačković, M. (2009) · Archives of Biological Sciences · doi:10.2298/abs0904659p · Cited by 7
Hulette, C. M., Ervin, J. F., Edmonds, Y., Antoine, S., Stewart, N., Szymanski, M. H., Hayden, K. M., Pieper, C. F., Burke, J. R., & Welsh-Bohmer, K. A. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31819e6334 · Cited by 6
Yang, Z. X., Sheng, J., Zhang, Q., Zhao, X., Song, Y., Dong, G., Zhang, R., Zhao, H., Wang, J., Pan, R., et al. (2025) · Journal of Integrative Neuroscience · doi:10.31083/jin26584 · Cited by 7
Yarreiphang, H., Vidyadhara, D. J., Nambisan, A. K., Raju, T. R., Sagar, B. C., & Alladi, P. A. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03372-1 · Cited by 5
Shen, Q., Tan, C., Wang, M., Cai, S., Liu, Q., Li, X., Tang, Y., & Liao, H. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115622 · Cited by 4
Dávila-Bouziguet, E., Casòliba-Melich, A., Fabra, G. T., Galera-López, L., Ozaita, A., Maldonado, R. J., Ávila, J., Delgado-Garcia, J. M., Gruart, A., Soriano, E., et al. (2021) · Brain · doi:10.1093/brain/awab319 · Cited by 4
Jiang, H., Esparza, T. J., Kummer, T. T., & Brody, D. L. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259335 · Cited by 4
Naskar, A., Sachin, M., Sengupta, S., Bhadrachalam, P., Hegde, S., Yadav, R., Pal, P. K., & Alladi, P. A. (2025) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-025-01576-8 · Cited by 6
Subjective cognitive decline and cerebral-cognitive reserve in late age
Sidenkova, A. P., Calabrese, V., Tomasello, M., & Fritsch, T. (2023) · Translational Medicine of Aging · doi:10.1016/j.tma.2023.11.001 · Cited by 4
Cerebral lactate metabolism and memory: Implications for Alzheimer's disease
Harris, R. A. (2017) · Scholarship@Western (Western University) · Cited by 3
Braïni, C., Mottolese, A., Ferrante, I., Monnier, S., & Villard, C. (2018) · Journal of Visualized Experiments · doi:10.3791/56923 · Cited by 3
Protein Carbonylation in Brains of Subjects with Selected Neurodegenerative Disorders
Reed, T. T., & Butterfield, D. A. (2017) · Wiley eBooks · doi:10.1002/9781119374947.ch8 · Cited by 3
Jury-Garfe, N., You, Y.-W., Martínez, P., Redding-Ochoa, J., Karahan, H., Johnson, T., Zhang, J., Kim, J., Troncoso, J., & Lasagna-Reeves, C. A. (2023) · bioRxiv · doi:10.1101/2023.07.27.550884 · Cited by 2
Self-citationTherapeutic potential of Garcinia kola against experimental toxoplasmosis in rats
Ahidjo, N., Yaya, F. M., Njamnshi, W. Y., Pambe, J. C. N., Ndianteng, E. W., Nwasike, C. N. C., Kemmo, C., Choupo, A. C., Zang, L. Y. M., Pieme, C. A., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae255 · Cited by 2
Pezhouh, M. K., Chen, G., Meints, J. P., Hemmy, L. S., SantaCruz, K. S., & Lee, M. K. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02167-w · Cited by 2
Aghababaee, L., Farrokhi, K., Karimi‐Jafari, M. H., Shahpasand, K., & Riazi, G. H. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05454-8 · Cited by 2
Iacono, D., Peng, H., Bouffard, J., & Kurlan, R. (2026) · Scientific Reports · doi:10.1038/s41598-026-45589-9 · Cited by 2
Self-citationKang, D. W., Wang, S., Um, Y. H., Kim, N. Y., Lee, C. U., & Lim, H. K. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220427 · Cited by 2
Sporadic Alzheimer’s disease animal model using streptozotocin and APP/PS1 mice
Kelliny, S., Deng, I. B., Zhou, X., & Bobrovskaya, L. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-89833-1.00026-4 · Cited by 2
Amyloid-β immunization enhances neurogenesis and cognitive ability in neonatal mice.
Chen, H., Wang, M., Jiao, A., Tang, G., Zhu, W., Zou, P., Li, T., Cui, G., & Gong, P. (2015) · PubMed Central · Cited by 2
Naskar, A., Sachin, M., Sengupta, S., Bhadrachalam, P., Hegde, S., Yadav, R., Pal, P. K., & Alladi, P. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.25.563920 · Cited by 2
Barsoum, S., Latimer, C. S., Nolan, A., Barrett, A., Chang, K., Troncoso, J. C., Keene, C. D., & Benjamini, D. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.06.592719 · Cited by 2
Self-citationAI guided discovery of a murine model of asymptomatic Alzheimer’s disease
Jati, S., Taheri, S., Kal, S., Sinha, S. C., Head, B. P., Mahata, S. K., & Sahoo, D. (2026) · Acta Neuropathologica Communications · doi:10.1186/s40478-026-02286-y · Cited by 1
Liu, J., Li, Y., Li, H., Cai, Y., Feng, J., & Hu, Z. (2022) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2022.102135 · Cited by 1
Compensating for Alzheimer lesions
Lippa, C. F. (2009) · Neurology · doi:10.1212/wnl.0b013e3181b61b4c · Cited by 1
Mutant MAPT Induces rDNA Transcriptional Hyperactivation and Nucleolar Stress in Cellular ModelsPreprint
Muhammad, Z., Gu, Y., Kwairanga, S. H., Bailey, L. J., Khan, A., Nasser, M., Aljarrah, D., Arber, C., Wray, S., Serpell, L. C., et al. (2025) · Research Square · doi:10.21203/rs.3.rs-7713987/v1 · Cited by 1
The Divergent 3D Genome Landscapes of Aging and Neurodegenerative mouse modelsPreprint
Kashuk, E., Smirnov, D., Eremenko, E., Tsitrina, A. A., Kriukov, D. V., Golova, A., Kaluski-Kopatch, S., Khrameeva, E. E., & Toiber, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.10.687599 · Cited by 1
Tian, Y., Hornburg, K., Austin, W., Cook, J. J., Qi, Y., White, L. E., Killmar, J. T., Kaczorowski, C. C., Ashbrook, D. G., Johnson, G. A., et al. (2026) · Nature Neuroscience · doi:10.1038/s41593-025-02199-4 · Cited by 1
A possible physiological role of Abeta as a crosslinker
Blöchl, R. (2008)
Tuminello, E. R. (2010) · Loyola eCommons (Loyola University of Chicago)
The regulation of RNA Polymerase I-mediated transcription in forebrain neurons.
Smith, S. C. (2012) · ThinkIR: The University of Louisville's Institutional Repository (University of Louisville) · doi:10.18297/etd/1350
Capacités de réserve, vieillissement cérébral et maladie d'Alzheimer
Foubert-Samier, P. A. (2013) · theses.fr (ABES)
Persons with Alzheimer’s disease and their caregivers
Cheng, S. (2013)
Nucleolar Contributions to DNA-Damage Response and Genomic (In)Stability in the Nervous System
Hetman, M. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803309-8.00030-6
The role of the nucleolus in neurodegeneration.
Hallgren, J. (2016) · doi:10.18297/etd/2547
The Drosophila Neuroblasts: A Model System For Human Ribosomopathies
Baral, S. S. (2019) · Louisiana State University · doi:10.31390/gradschool_dissertations.4859
Niehaus, C. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85679-9.00029-5
Current awareness in geriatric psychiatry
(2008) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2112
Porokhovnik, L. N. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12101752
Yuen, S. C., Liang, X., Zhu, H., Jia, Y., & Leung, S.-W. (2021) · Figshare · doi:10.6084/m9.figshare.14945066
Yuen, S. C., Liang, X., Zhu, H., Jia, Y., & Leung, S.-W. (2021) · Figshare · doi:10.6084/m9.figshare.14945063
Yuen, S. C., Liang, X., Zhu, H., Jia, Y., & Leung, S.-W. (2021) · Figshare · doi:10.6084/m9.figshare.14945060
Ahidjo, N., Etet, P. F. S., Ngarka, L., Yaya, F. M., Ndianteng, E. W., Nna, A. L. E., Zang, L. Y. M., Kemmo, C., Nwasike, C. N. C., Tatchou, F. G. Y., et al. (2024) · Brain Communications · doi:10.1093/braincomms/fcae441
Johnson, G. A., Tian, Y., Hornburg, K. J., Cook, J. J., Qi, Y. P., WHITE, L. E., KILLMAR, J. T., Kaczorowski, C. C., Ashbrook, D. G., & Williams, R. W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.08.632011
Shtrahman, M., Parylak, S., Toda, T., & Gage, F. H. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0009
Jati, S., Taheri, S., Kal, S., Sinha, S. C., Head, B. P., Mahata, S. K., & Sahoo, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.11.659207
Novel Roles of the GPI-Anchor Cleaving Enzyme, GDE2, in Hippocampal Synaptic Morphology and Function
Daudelin, D., Sama-Borbon, D., Zhang, N., & Sockanathan, S. (2025) · eNeuro · doi:10.1523/eneuro.0102-25.2025 · Cited by 2
Filling in the gap: Hippocampal CA1 neuronal counts and volumes in female cognitive controls
Smith, E. N., Alexander, A. M., Watt, K. H., Rosenblum, E. W., Pihlstrom, N., Chase, J. L., Mercaldo, N. D., Conner, E., van der Kouwe, A. J. W., Frosch, M. P., et al. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107161
Aging influences nucleolar responses to traumatic brain injury in Drosophila
Rimkus, S. A., Katzenberger, R. J., Ganetzky, B., & Wassarman, D. A. (2025) · PLoS ONE · doi:10.1371/journal.pone.0335715
Pelkmans, W., Cacciaglia, R., Kassinopoulos, M., Grau‐Rivera, O., Minguillón, C., Molinuevo, J. L., Kollmorgen, G., Quijano‐Rubio, C., Wilson, R. E., Jonaitis, E. M., et al. (2026) · Molecular Neurodegeneration · doi:10.1186/s13024-026-00987-5
Kumar, S., Amaral, A. C. S., Agüero, C., Klein, C. Z., Chong, M. S. T., Ramanan, P., Scapellato, M., Sinha, R., Schneider, J. A., Bennett, D., et al. (2025) · medRxiv · doi:10.64898/2025.12.15.25341752
Reseco, L., Atienza, M., Fernandez-Alvarez, M., Carro, E., & Cantero, J. L. (2021) · Figshare · doi:10.6084/m9.figshare.16575443
Barros, T. G. R., Grossi, L. B., Campos, M. L. D. S., Cardoso, I. B.-H. N., Teixeira, A. L., de Miranda, A. S., & Toscano, E. C. D. B. (2026) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.70077
Fernandes‐Taylor, S., Driscoll, I. F., Glittenberg, M., Breidenbach, B. M., Rhodes, A., Gallagher, C. L., Johnson, S. C., Asthana, S., Sager, M. A., Carlsson, C. M., et al. (2026) · Neurology Open Access · doi:10.1212/wn9.0000000000000164
Miller, K. M., McMeans, D. R., Sonner, M. J., Ladle, D. R., & Romer, S. H. (2026) · PLoS ONE · doi:10.1371/journal.pone.0357900
Metadata
- Authors
- Iacono, D., O'Brien, R., Resnick, S. M., Zonderman, A. B., Pletnikova, O., Rudow, G., An, Y., West, M. J., Crain, B., & Troncoso, J. C.
- Affiliations
- Johns Hopkins University (US)
- National Institutes of Health (US)
- Aarhus University (DK)
- Corresponding author
- Troncoso, Juan C.
- Venue
- Journal of Neuropathology & Experimental Neurology
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-06
- Volume
- 67
- Issue
- 6
- Pages
- 578-589
- ISSN
- 0022-3069 (ISSN-L)
- 1554-6578
- PMC
- PMC2518071
- OpenAlex
- W2097399504
- Cited by
- 188
- References
- 67
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 15 · 2023: 7 · 2022: 11 · 2021: 12 · 2020: 6 · 2019: 14 · 2018: 8 · 2017: 8 · 2016: 11 · 2015: 10 · 2014: 13 · 2013: 17 · 2012: 8
- FWCI
- 6.09
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Neuropathology & Experimental Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Burroughs Wellcome Fund
- Johns Hopkins University
- National Institutes of Health
- National Institute on Aging (K23AG034550, Z01AG000191, P50AG005146, AG 05146)
- 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
- neuronal hypertrophy, hippocampal CA1, anterior cingulate cortex, posterior cingulate cortex, primary visual cortex, mild cognitive impairment, amyloid plaques, neurofibrillary tangles, stereology
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Cognition Disorders, Humans, Hypertrophy, Neurons
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