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The Topographical and Neuroanatomical Distribution of Neurofibrillary Tangles and Neuritic Plaques in the Cerebral Cortex of Patients with Alzheimer's Disease
Abstract
The distribution of neurofibrillary tangles (NFTs) and neuritic plaques (NPs) was mapped in 39 cortical areas of 11 brains of patients with Alzheimer's disease (AD). Whole hemisphere blocks were embedded in polyethylene glycol (Carbowax), sectioned coronally, and stained with thioflavin S and thionin. The densities of NFTs and NPs were assessed using a numerical rating scale for each area. Scores were grouped by type of cortex and by lobe for statistical analysis. Highly significant differences were obtained. For example, limbic periallocortex and allocortex had more NFTs than any other type of cortex. In descending order, the density of NFTs was as follows: periallocortex (area 28) greater than allocortex (subiculum/CA1 zones of hippocampal formation, area 51) greater than corticoid areas (accessory basal nucleus of amygdala, nucleus basalis of Meynert) greater than proisocortex (areas 11, 12, 24, 23, anterior insula, 38, 35) greater than nonprimary association cortex (32, 46, superior temporal sulcus, 40, 39, posterior parahippocampal cortex, 37, 36) greater than primary sensory association cortex (7, 18, 19, 22, 21, 20) greater than agranular cortex (44-5, 8, 6, 4) greater than primary sensory cortex (41-2, 3-1-2, 17). The laminar distribution of NFTs tended to be selective, involving primarily layers III and V of association areas and layers II and IV of limbic periallocortex. There were far more NFTs in both limbic and temporal lobes than in frontal, parietal, and occipital lobes. In general, NPs were more evenly distributed throughout the cortex, with the exceptions of limbic periallocortex and allocortex, which had notably fewer NPs than other cortical areas. Temporal and occipital lobes had the highest NP densities, limbic and frontal lobes had the lowest, and parietal lobe was intermediate. No significant left-right hemispheric differences for NFT or NP densities were found across the population, and there was no relationship between duration of illness and densities of NFTs or NPs. The regional and laminar distribution of NFTs (and, to a lesser degree, that of NPs) suggests a consistent pattern of vulnerability within the cerebral cortices that seems correlated to the hierarchies of cortico-cortical connections. The higher-order association cortices, especially those in the anterior and ventromedial sectors of temporal lobe, are the most vulnerable, while other cortices appear less vulnerable to a degree commensurate with their connectional "distance" (i.e., synapses removed) from the limbic areas.
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In the citing paper
“The EC is affected severely in Alzheimer disease (AD), likely contributing to memory impairment.”
From Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease (1996) · cites this paper as Arnold et al., 1991
In the citing paper
“The EC was chosen because it is highly selectively vulnerable in AD (Hyman et al., 1984(Hyman et al., , 1986;;Arnold et al., 1991;Braak and Braak, 1991;Price et al., 1991;Arriagada et al., 1992a;Fukutani et al., 1995;Solodkin and Van Hoesen, 1996).”
From Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease (1996) · cites this paper as Arnold et al., 1991
In the citing paper
“The midfrontal gyrus cortex (corresponding predominantly to Brodmann area 46) was chosen for semi-quantitative image analyses of AD pathology, cellular and synaptic markers because of its important role in complex cognition and its common neuropathological involvement in the spectrum of AD (Arnold, et al., 1991).”
From Cellular, synaptic, and biochemical features of resilient cognition in Alzheimer’s disease (2013) · cites this paper as Arnold, et al., 1991
In the citing paper
“as this region is the first area of the brain involved by the neurofibrillary pathology of AD(4, 5).”
From Rates of hippocampal atrophy correlate with change in clinical status in aging and AD (2000) · cites this paper as [5]
In the citing paper
“We consider it to be an important clue that most brains from elderly human subjects show abnormalities that fall somewhere along particular continua of pathologic severity (60, 96-100).”
From Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature (2012) · cites this paper as [100]
In the citing paper
“In the early stages of Alzheimer’s disease (AD), the most common form of age-related dementia, clinical symptoms (such as memory loss) are caused by the selective degeneration of principal neurons of the entorhinal cortex layer II (ECII), followed by CA1 pyramidal cells in the hippocampus, and pyramidal neurons in neocortical association areas.”
From Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis (2020) · cites this paper as Arnold et al., 1991
In the citing paper
“In contrast, other brain regions, such as the primary sensory cortices, are relatively resistant to degeneration until later stages of the disease (Arnold et al., 1991; Bussière et al., 2003; Fukutani et al., 2000; Gómez-Isla et al., 1996; Hof and Morrison, 1990; Hyman et al., 1984; Morrison and Hof, 1997; West et al., 1994).”
From Selective Neuronal Vulnerability in Alzheimer’s Disease: A Network-Based Analysis (2020) · cites this paper as Arnold et al., 1991
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Stoppe, G., Bruhn, H., Pouwels, P. J. W., Hänicke, W., & Frahm, J. (2000) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-200004000-00009 · Cited by 26
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Valenza, M., Facchinetti, R., Menegoni, G., Steardo, L., & Scuderi, C. (2021) · Biomolecules · doi:10.3390/biom11040600 · Cited by 25
Haytural, H., Jordá-Siquier, T., Winblad, B. G., Mulle, C., Tjernberg, L. O., Granholm, A., Frykman, S., & Barthet, G. (2021) · Brain Communications · doi:10.1093/braincomms/fcab079 · Cited by 25
Signature laminar distributions of pathology in frontotemporal lobar degeneration
Ohm, D. T., Cousins, K. A. Q., Xie, S. X., Peterson, C. S., McMillan, C. T., Massimo, L. M., Raskovsky, K., Wolk, D. A., Deerlin, V. M. V., Elman, L. B., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-021-02402-3 · Cited by 27
Baazaoui, N., & Iqbal, K. (2022) · Biomolecules · doi:10.3390/biom12101409 · Cited by 27
Wang, H., Wang, X., Shen, Y., Wang, Y., Yang, T., Sun, J., & Liu, S. (2023) · International Immunopharmacology · doi:10.1016/j.intimp.2023.110230 · Cited by 25
Jembrek, M. J., Leko, M. B., Pivac, N., Hof, P. R., & Šimić, G. (2013) · Translational Neuroscience · doi:10.2478/s13380-013-0144-z · Cited by 25
Longitudinal Magnetization Transfer Imaging in Mild to Severe Alzheimer Disease
Ropele, S., Schmidt, R., Enzinger, C., Windisch, M., Martínez, N. P., & Fazekas, F. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2812 · Cited by 25
PPARδ agonist GW0742 ameliorates Aβ1–42-induced hippocampal neurotoxicity in mice
An, Y., Zhang, C. T., Du, Y., Zhang, M., Tang, S. S., Hu, M. Y., Long, Y., Sun, H. B., & Hong, H. (2016) · Metabolic Brain Disease · doi:10.1007/s11011-016-9800-7 · Cited by 25
Ward, A. M., Calamia, M. R., Thiemann, E., Dunlap, J., & Tranel, D. (2016) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2016.1253667 · Cited by 26
Yu, J., Kwon, H., Cho, E., Jeon, J., Kang, R. H., Youn, K., Jun, M., Lee, Y. C., Ryu, J. H., & Kim, D. H. (2019) · Food and Chemical Toxicology · doi:10.1016/j.fct.2019.01.017 · Cited by 27
Molecular imaging of beta-amyloid deposition in late-life depression
Smith, G. S., Kuwabara, H., Nandi, A., Gould, N. F., Nassery, N., Savonenko, A. V., Joo, J. H., Kraut, M. A., Brašić, J. R., Holt, D. P., et al. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.01.002 · Cited by 27
Hendrickx, J. O., Martinet, W., Dam, D. V., & Meyer, G. R. Y. D. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.651215 · Cited by 28
Blázquez‐Llorca, L. (2010) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2010.00020 · Cited by 26
Yamada, K., Ito, H., Nishimura, T., & Kizu, O. (2004) · Neuroradiology · doi:10.1007/s00234-004-1167-5 · Cited by 25
Rasia‐Filho, A. A., Guerra, K. T. K., Vásquez, C. E., Dall’Oglio, A., Reberger, R., Jung, C. R., & Calcagnotto, M. E. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.616607 · Cited by 24
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Quinn, J. P., Ethier, E. C., Novielli, A., Malone, A., Ramirez, C. E., Salloum, L., Trombetta, B. A., Kivisäkk, P., Bremang, M., Selzer, S., et al. (2023) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.2c00341 · Cited by 24
Self-citationChen, G., Ward, B. D., Chen, G., & Li, S. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0295 · Cited by 25
Preventing Alzheimer's disease by means of natural selection
Demetrius, L., & Driver, J. A. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2014.0919 · Cited by 24
Distinct amyloid precursor protein processing machineries of the olfactory system
Kim, J. Y., Rasheed, A., Yoo, S., Kim, S. Y., Cho, B., Son, G., Yu, S.-W., Chang, K., Suh, Y., & Moon, C. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.10.153 · Cited by 24
Pathogenesis of Alzheimer’s Disease
Castellani, R. J., Plascencia‐Villa, G., & Perry, G. L. (2022) · Springer eBooks · doi:10.1007/978-3-031-15080-7_162 · Cited by 24
Chen, L., Baum, L., Ng, H., Chan, L. Y. S., & Pang, C. (1999) · Human Pathology · doi:10.1016/s0046-8177(99)90034-5 · Cited by 24
Ventromedial Temporal Lobe Pathology in Dementia, Brain Trauma, and Schizophrenia
Hoesen, G. W. V., Augustinack, J. C., & REDMAN, S. J. (1999) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1999.tb09290.x · Cited by 24
Neuroanatomy of Alzheimer's disease: Hierarchical vulnerability and neural system compromise
Hoesen, G. W. V., Solodkin, A., & Hyman, B. T. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00019-b · Cited by 23
Self-citationChoi, J.-W., Ju, Y. H., Choi, Y., Hyeon, S. J., Gadhe, C. G., Park, J., Kim, M. S., Baek, S., Kim, Y. S., Park, K. D., et al. (2020) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.0c00211 · Cited by 23
Tau Protein Detection in Anosmic Alzheimer’s Disease Patient’s Nasal Secretions
Passàli, G. C., Politi, L., Crisanti, A., Loglisci, M., Anzivino, R., & Passàli, D. (2015) · Chemosensory Perception · doi:10.1007/s12078-015-9198-3 · Cited by 23
Krajčovičová, L., Mikl, M., Mareček, R., & Rektorová, I. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-131208 · Cited by 24
Delacourte, A., Campion, D., & Davous, P. (2007) · Encyclopédie médico-chirurgicale. Neurologie · doi:10.1016/s0246-0378(07)44093-3 · Cited by 23
Biodistribution and Radiation Dosimetry for the Tau Tracer 18F-THK-5351 in Healthy Human Subjects
Hsiao, I., Lin, K., Huang, K., Huang, C., Chen, H.-S., Wey, S., Yen, T., Okamura, N., & Hsu, J. (2017) · Journal of Nuclear Medicine · doi:10.2967/jnumed.116.189126 · Cited by 23
Barrett, F. S., Workman, C. I., Sair, H. I., Savonenko, A. V., Kraut, M. A., Sodums, D. J., Joo, J. J., Nassery, N., Marano, C. M., Munro, C. A., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23595 · Cited by 24
Factors influencing accuracy of cortical thickness in the diagnosis of Alzheimer's disease
Mahanand, B. S., Fischl, B. R., Salat, D. H., & Initiative, A. D. N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23922 · Cited by 23
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Scholtens, L. H., & van den Heuvel, M. P. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.03.017 · Cited by 24
Choi, M., Youn, H., Kim, D., Lee, S., Suh, S., Seong, J., Jeong, H., & Han, C. E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0220739 · Cited by 23
Malpas, C. B., Sharmin, S., & Kalinčík, T. (2020) · International Journal of Neuroscience · doi:10.1080/00207454.2020.1758087 · Cited by 25
Rahman, M. M., Mim, S. A., Tumpa, M. A. A., Sarker, M. T., Ahmed, M., Alghamdi, B. S. A., Hafeez, A., Alexiou, A. T., Perveen, A., & Ashraf, G. M. (2022) · Cytokine · doi:10.1016/j.cyto.2022.155962 · Cited by 24
Development of Alzheimer's disease imaging agents for clinical studies
Ryu, E. K. (2007) · Frontiers in bioscience · doi:10.2741/2719 · Cited by 23
A new integrated dual time-point amyloid PET/MRI data analysis method
Cecchin, D., Barthel, H., Poggiali, D., Cagnin, A., Tiepolt, S., Zucchetta, P., Turco, P., Gallo, P., Frigo, A. C., Sabri, O., et al. (2017) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-017-3750-0 · Cited by 23
Menschik, E. D., & Finkel, L. H. (1999) · Progress in brain research · doi:10.1016/s0079-6123(08)63065-4 · Cited by 23
Quantitative analysis of neuropathologic changes in the cerebral cortex of centenarians
Giannakopoulos, P., Hof, P. R., Vallet, P. G., Giannakopoulos, A.-S., Charnay, Y., & Bouras, C. (1995) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/0278-5846(95)00103-3 · Cited by 23
Ellis, J. R., Nathan, P. J., Villemagne, V. L., Mulligan, R. S., Saunder, T., Young, K., Smith, C. S., Welch, J., Woodward, M., Wesnes, K. A., et al. (2008) · Psychopharmacology · doi:10.1007/s00213-008-1347-9 · Cited by 23
Schizophrenia and Disordered Neural Circuitry
Lewis, D. A. (1997) · Schizophrenia Bulletin · doi:10.1093/schbul/23.3.529 · Cited by 23
Blin, J., Piercey, M. F., Giuffra, M. E., Mouradian, M. M., & Chase, T. N. (1994) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(94)90202-x · Cited by 23
Proposals for Re-evaluation of Current Autopsy Criteria for the Diagnosis of Alzheimer’s Disease
Jellinger, K. A., & Bancher, C. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00071-7 · Cited by 23
Synergistic Effect of Amyloid-β and Tau Disrupts Neural Circuits
Tripathi, T., & Kalita, P. (2019) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.9b00037 · Cited by 24
Das, S. R., Mancuso, L., Olson, I. R., Arnold, S. E., & Wolk, D. A. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv022 · Cited by 22
Self-citationCell competition from development to neurodegeneration
RODRIGUES, M. C., Couceiro, J., & Moreno, E. (2021) · Disease Models & Mechanisms · doi:10.1242/dmm.048926 · Cited by 22
Neural correlates of episodic memory in adults with Down syndrome and Alzheimer’s disease
Benejam, B., Aranha, M. R., Videla, L., Padilla, C., Valldeneu, S., Fernández, S., Altuna, M., Carmona‐Iragui, M., Barroeta, I., Iulita, M. F., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01064-x · Cited by 24
Zhang, N., Sui, Y., Jendrichovsky, P., Feng, H., Shi, H., Zhang, X., Xu, S., Sun, W., Zhang, H., Chen, X., et al. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01472-1 · Cited by 25
Hoglund, Z. T., Ruiz‐Uribe, N. E., del Sastre, E., Woost, B., Bader, E., Bailey, J. J., Hyman, B. T., Zwang, T. J., & Bennett, R. E. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02751-9 · Cited by 22
Self-citationCytoarchitectonic Areas of the Gyrus ambiens in the Human Brain
Insausti, R., Parada, M. C., Ubero, M., Rodado, A., Serrano, A. M. I., & Muñoz, M. (2019) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2019.00021 · Cited by 22
Byrns, A., Abdessalem, H. B., Cuesta, M., Bruneau, M., Belleville, S., & Frasson, C. (2020) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2020.138018 · Cited by 24
Zhong, P., Cao, Q., & Yan, Z. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac036 · Cited by 22
Bi, X., Head, E., Cotman, C. W., & LYNCH, G. S. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10795 · Cited by 22
Functional alterations in neural circuits in Alzheimer's disease
Simonian, N. A., & Hyman, B. T. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)00034-c · Cited by 22
Self-citationAlzheimer's disease: Its diagnosis and pathogenesis
Kril, J. J., & Halliday, G. M. (2001) · International review of neurobiology · doi:10.1016/s0074-7742(01)48016-0 · Cited by 22
Cortical load of PHF-tau in Alzheimer's disease is correlated to cholinergic dysfunction
Arendt, T., Holzer, M., Gertz, H., & Brückner, M. K. (1999) · Journal of Neural Transmission · doi:10.1007/s007020050175 · Cited by 23
Molecular Factors Mediating Neural Cell Plasticity Changes in Dementia Brain Diseases
Kozubski, W. P., Ong, K. T., Waleszczyk, W. J., Zabel, M. K., & Dorszewska, J. (2021) · Neural Plasticity · doi:10.1155/2021/8834645 · Cited by 21
Alzheimer’s disease is an inherent, natural part of human brain aging: an integrated perspective
Ferrer, I. (2022) · Free Neuropathology · doi:10.17879/freeneuropathology-2022-3806 · Cited by 25
Ambure, P. S., & Roy, K. (2014) · RSC Advances · doi:10.1039/c3ra46861e · Cited by 21
Kandiah, N., Narasimhalu, K., Lee, J., & Chen, C. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000210387 · Cited by 21
Pregnane X Receptor and P-glycoprotein: a connexion for Alzheimer’s disease management
Jain, S. K., Rathod, V. P., Prajapati, R., Nandekar, P. P., & Sangamwar, A. T. (2014) · Molecular Diversity · doi:10.1007/s11030-014-9550-6 · Cited by 21
Song, Z., Farrell, M. E., Chen, X., & Park, D. C. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.02.021 · Cited by 25
Perez‐Nievas, B. G., Hammerschmidt, T., Kummer, M. P., Terwel, D., Leza, J. C., & Heneka, M. T. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.07083.x · Cited by 21
Huddleston, D. E., & Small, S. A. (2005) · Nature Clinical Practice Neurology · doi:10.1038/ncpneuro0046 · Cited by 21
Zhou, Y., Zhou, L., Chen, H., & Koliatsos, V. E. (2006) · Neuropharmacology · doi:10.1016/j.neuropharm.2006.03.002 · Cited by 21
von Rotz, R. C., Kins, S., Hipfel, R., von der Kammer, H., & Nitsch, R. M. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.03977.x · Cited by 21
Multimodal mapping of regional brain vulnerability to focal cortical dysplasia
Lee, H. M., Hong, S., Gill, R. S., Caldairou, B., Wang, Z. I., Zhang, J., Deleo, F., Schrader, D. V., Bartoloméi, F., Guye, M., et al. (2023) · Brain · doi:10.1093/brain/awad060 · Cited by 20
Cognitive Aging and Early Diagnosis Challenges in Alzheimer's Disease
Britton, G. B., & Rao, K. S. J. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-110239 · Cited by 21
Knopman, D. S., Jack, C. R., Lundt, E. S., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., et al. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.2323 · Cited by 20
Mapstone, M. E., & Duffy, C. J. (2010) · Brain · doi:10.1093/brain/awq140 · Cited by 20
Perception-related EEG is more sensitive to Alzheimer's disease effects than resting EEG
Barzegaran, E., DAMME, B. V., Meuli, R. A., & Knyazeva, M. G. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.03.032 · Cited by 20
Dynamic Changes in Brain Glucose Metabolism and Neuronal Structure in Rats with Heart Failure
Yang, T., Lu, Z., Wang, L., Zhao, Y., Nie, B., Xu, Q., Han, X., Li, T., Zhao, J., Cheng, W., et al. (2019) · Neuroscience · doi:10.1016/j.neuroscience.2019.10.008 · Cited by 20
Willems, S. J., Salmon, É., & der Linden, M. V. (2008) · Neuropsychology · doi:10.1037/a0012986 · Cited by 20
Hof, P. R., & Morrison, J. H. (1996) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1996.tb03748.x · Cited by 20
Stem-completion priming in Alzheimer's disease: The importance of target word articulation
Downes, J. J., Davis, E., Davies, P., Perfect, T. J., Wilson, K., Mayes, A. R., & SAGAR, H. J. (1996) · Neuropsychologia · doi:10.1016/0028-3932(95)00084-4 · Cited by 20
Arbabyazd, L., Petkoski, S., Breakspear, M. J., Solodkin, A., Battaglia, D. A., & Jirsa, V. (2023) · Network Neuroscience · doi:10.1162/netn_a_00332 · Cited by 23
AMPA receptors in Alzheimer disease: Pathological changes and potential therapeutic targets
Ning, L., Shen, R., Xie, B., Jiang, Y., Geng, X., & Dong, W. (2024) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlae093 · Cited by 19
Orta‐Salazar, E., Feria‐Velasco, A., Medina-Aguirre, G. I., & Díaz-Cintra, S. Y. (2013) · Neurología · doi:10.1016/j.nrl.2013.01.014 · Cited by 19
The Abnormally Phosphorylated Tau Lesion of Early Alzheimer’s Disease
Thangavel, R., Hoesen, G. W. V., & Zaheer, A. (2008) · Neurochemical Research · doi:10.1007/s11064-008-9701-1 · Cited by 19
Molecular Pathology of Alzheimer's Disease
Castellani, R. J., & Perry, G. L. (2013) · Colloquium Series on Neurobiology of Alzheimer s Disease · doi:10.4199/c00095ed1v01y201310alz001 · Cited by 19
Pooler, A. M., Polydoro, M., Wegmann, S., Pitstick, R., Kay, K. R., Sanchez, L., Carlson, G. A., Gómez‐Isla, T., Albers, M. W., Spires‐Jones, T. L., et al. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23411 · Cited by 21
Self-citationUnirhinal Olfactory Testing for the Diagnostic Workup of Mild Cognitive Impairment
Huart, C., Rombaux, P., Gérard, T., Hanseeuw, B. J., Lhommel, R., Quenon, L., Ivanoiu, A., & Mouraux, A. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-141494 · Cited by 20
Lee, S., Kim, K. W., & Initiative, A. D. N. (2020) · European Journal of Neurology · doi:10.1111/ene.14609 · Cited by 19
Cochran, E. J. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4377-0949-0.00006-6 · Cited by 19
Alzheimer's disease or Alzheimer's diseases? clues from molecular epidemiology
Hyman, B. T. (1996) · Annals of Neurology · doi:10.1002/ana.410400202 · Cited by 19
Self-citationMega, M. S., Thompson, P. M., Toga, A. W., & Cummings, J. L. (2000) · Elsevier eBooks · doi:10.1016/b978-012481460-8/50012-3 · Cited by 19
Desikan, R. S., McEvoy, L. K., Holland, D., Thompson, W., Brewer, J. B., Aisen, P. S. S., Andreassen, O. A., Hyman, B. T., Sperling, R. A., Dale, A. M., et al. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3267 · Cited by 18
Self-citationXu, Y., Zheng, F., Zhong, Q., & Zhu, Y. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230002 · Cited by 20
COVID‐19 and the impact on Alzheimer's disease pathology
Furman, S., Green, K. N., & Lane, T. E. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15985 · Cited by 18
Broks, P., Lines, C., Atchison, L., Challenor, J., Traub, M., Foster, C., & SAGAR, H. J. (1996) · Behavioural Neurology · doi:10.1155/1996/374983 · Cited by 18
Olichney, J., Taylor, J. R., Chan, S.-H., Yang, J., Stringfellow, A., Hillert, D. G., Simmons, A. L., Salmon, D. P., Iragui‐Madoz, V., & Marta Kutas, A. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.04.021 · Cited by 18
Mohamed, N., Zhao, Y., Lee, J. H., Tan, M. G., Esiri, M. M., Wilcock, G. K., Smith, A. D., Wong, P. T. ‐., Chen, C., & Lai, M. K. P. (2011) · Neurochemistry International · doi:10.1016/j.neuint.2011.03.010 · Cited by 18
The role of declarative and procedural memory in disorders of language
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Gómez‐Isla, T., & Hyman, B. T. (1997) · Springer eBooks · doi:10.1007/978-3-642-60680-9_11 · Cited by 18
Self-citationMorgan, G. R., & Carlyle, B. C. (2024) · Scientific Reports · doi:10.1038/s41598-024-57104-z · Cited by 17
Orta‐Salazar, E., Feria‐Velasco, A., Medina-Aguirre, G. I., & Díaz-Cintra, S. Y. (2013) · Neurología (English Edition) · doi:10.1016/j.nrleng.2013.10.007 · Cited by 17
Alzheimer’s Disease Progressively Alters the Face-Evoked Visual-Processing Network
Huang, J., Beach, P. A., Bozoki, A., & Zhu, D. C. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200173 · Cited by 17
Neargarder, S. A., & Cronin‐Golomb, A. (2005) · Cognitive and Behavioral Neurology · doi:10.1097/01.wnn.0000178229.39068.9b · Cited by 17
Shih, W.-J., Ashford, J. W., Coupal, J. J., Ryo, U. Y., Stipp, V., Magoun, S., & Groß, K. (1999) · Clinical Nuclear Medicine · doi:10.1097/00003072-199910000-00008 · Cited by 17
Personality and Psychological Health in Persons with Mild Cognitive Impairment
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Metadata
- Authors
- Arnold, S. E., Hyman, B. T., Flory, J., Damasio, A. R., & Van Hoesen, G. W.
- Affiliations
- University of Iowa (US)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 1991-01-01
- Volume
- 1
- Issue
- 1
- Pages
- 103-116
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2029923284
- Cited by
- 1,380
- References
- 0
- Citations by year
- 2026: 15 · 2025: 32 · 2024: 32 · 2023: 34 · 2022: 31 · 2021: 45 · 2020: 36 · 2019: 41 · 2018: 47 · 2017: 43 · 2016: 42 · 2015: 40 · 2014: 42 · 2013: 54 · 2012: 42
- FWCI
- 19.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Public Health Service (P019632)
- National Institute on Aging (AG-08487)
- National Institute of Neurological Disorders and Stroke (R01NS014944, NS-14944)
- 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, neurofibrillary tangles, neuritic plaques, cortical topography, neuroanatomy, allocortex, temporal lobe, occipital lobe, frontal lobe, parietal lobe, laminar distribution, thioflavin S, thionin, amygdala, nucleus basalis of Meynert
- MeSH terms
- Aged, Alzheimer Disease, Brain Mapping, Cerebral Cortex, Female, Histocytochemistry, Humans, Male, Middle Aged, Neurites, Tissue Embedding, Neurofibrillary Tangles
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