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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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Wiley, C. A., Lopresti, B. J., Venneti, S., Price, J. C., Klunk, W. E., DeKosky, S. T., & Mathis, C. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2008.511 · Cited by 160
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Voytko, M. (1996) · Behavioural Brain Research · doi:10.1016/0166-4328(95)00143-3 · Cited by 167
Morawski, M., Brückner, G., Jäger, C., Seeger, G., Matthews, R. T., & Arendt, T. (2012) · Brain Pathology · doi:10.1111/j.1750-3639.2011.00557.x · Cited by 157
Morawski, M., Brückner, G., Jäger, C., Seeger, G., & Arendt, T. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.05.022 · Cited by 156
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Hof, P. R., Mufson, E. J., & Morrison, J. H. (1995) · The Journal of Comparative Neurology · doi:10.1002/cne.903590105 · Cited by 157
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Growdon, J. H., Locascio, J. J., Corkin, S., Gómez‐Isla, T., & Hyman, B. T. (1996) · Neurology · doi:10.1212/wnl.47.2.444 · Cited by 153
Self-citationDarvesh, S., Cash, M. K., Reid, G. A., Martin, E. V., Mitnitski, A., & Geula, C. (2011) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31823cc7a6 · Cited by 153
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Duyckaerts, C. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)80306-5 · Cited by 150
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Rice, L., & Bisdas, S. (2017) · European Journal of Radiology · doi:10.1016/j.ejrad.2017.07.014 · Cited by 156
Chapter 20 Neuropathological hallmarks of Alzheimer's and Parkinson's diseases
Braak, H., de Vos, R. A. I., Jansen, E. N. H., Bratzke, H., & Braak, E. (1998) · Progress in brain research · doi:10.1016/s0079-6123(08)64021-2 · Cited by 150
Neural basis for semantic memory difficulty in Alzheimer's disease: an fMRI study
Grossman, M. (2003) · Brain · doi:10.1093/brain/awg027 · Cited by 153
Basurto‐Islas, G., Luna‐Muñoz, J., Guillozet-Bongaarts, A. L., Binder, L. I., Mena, R., & García‐Sierra, F. (2008) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31817275c7 · Cited by 163
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Thal, D. R., Del Tredici, K., & Braak, H. (2004) · Science of Aging Knowledge Environment · doi:10.1126/sageke.2004.23.pe26 · Cited by 149
Auditory event-related potentials during target detection are abnormal in mild cognitive impairment
Golob, E. J., Johnson, J. K., & Starr, A. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00713-1 · Cited by 151
Soetanto, A., Wilson, R. S., Talbot, K., Un, A., Schneider, J. A., Sobiesk, M., Kelly, J., Leurgans, S., Bennett, D. A., & Arnold, S. E. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.48 · Cited by 148
Self-citationAβ43 is more frequent than Aβ40 in amyloid plaque cores from Alzheimer disease brains
Welander, H., Frånberg, J., Graff, C., Sundström, E., Winblad, B. G., & Tjernberg, L. O. (2009) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2009.06170.x · Cited by 150
Hwang, D. Y., Chae, K. R., Kang, T. S., Hwang, J. H., Lim, C. H., Kang, H. K., Goo, J. S., Lee, M. R., Lim, H. J., Min, S. H., et al. (2002) · The FASEB Journal · doi:10.1096/fj.01-0732com · Cited by 151
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del Campo, N., Payoux, P., Adel, D., Delrieu, J., Hoogendijk, E. O., Rolland, Y., Cesari, M., Weiner, M. W., Andrieu, S., Vellas, B. J., et al. (2015) · Neurology · doi:10.1212/wnl.0000000000002235 · Cited by 149
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Hyman, B. T. (1995) · Archives of Neurology · doi:10.1001/archneur.1995.00540280059019 · Cited by 147
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Pievani, M., Agosta, F., Pagani, E., Canu, E., Sala, S., Absinta, M., Geroldi, C., Ganzola, R., Frisoni, G. B., & Filippi, M. (2010) · Human Brain Mapping · doi:10.1002/hbm.20978 · Cited by 152
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Eriksen, J. L., & Janus, C. G. (2007) · Behavior Genetics · doi:10.1007/s10519-006-9118-z · Cited by 146
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Wegmann, S., Bennett, R. E., Delorme, L., Robbins, A. B., Hu, M., MacKenzie, D., Kirk, M. J., Schiantarelli, J., Tunio, N., Amaral, A. C., et al. (2019) · Science Advances · doi:10.1126/sciadv.aaw6404 · Cited by 144
Self-citationD’Amelio, M., & Rossini, P. M. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.07.001 · Cited by 147
Cognition, glucose metabolism and amyloid burden in Alzheimer's disease
Furst, A. J., Rabinovici, G. D., Rostomian, A. H., Steed, T., Alkalay, A., Racine, C. A., Miller, B. L., & Jagust, W. J. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.03.011 · Cited by 153
Filippini, N., Rao, A., Wetten, S., Gibson, R. A., Borrie, M., Guzman, D., Kertesz, A., Loy-English, I., Williams, J., Nichols, T., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.003 · Cited by 143
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Hyman, B. T. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00066-3 · Cited by 145
Self-citationDuarte, A. I., Candeias, E., Correia, S. C., Santos, R. X., Carvalho, C., Cardoso, S., Plácido, A. I., Santos, M. S., Oliveira, C. R., & Moreira, P. I. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2013.01.008 · Cited by 149
Tai, H., Wang, B. Y., Serrano‐Pozo, A., Frosch, M. P., Spires‐Jones, T. L., & Hyman, B. T. (2014) · Acta Neuropathologica Communications · doi:10.1186/s40478-014-0146-2 · Cited by 147
Self-citationBraak, H., Zetterberg, H., Tredici, K. D., & Blennow, K. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1139-0 · Cited by 148
Chen, S., Chang, Y., Li, L., Acosta, D., Li, Y., Guo, Q., Wang, C., Turkes, E., Morrison, C., Julian, D., et al. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01494-6 · Cited by 144
Role of Hydrogen Peroxide in the Aetiology of Alzheimer??s Disease
Milton, N. G. N. (2004) · Drugs & Aging · doi:10.2165/00002512-200421020-00002 · Cited by 141
Gabrieli, J. D. E., Vaidya, C. J., Stone, M. V., Francis, W. S., Thompson‐Schill, S. L., Fleischman, D. A., Tinklenberg, J. R., Yesavage, J. A., & Wilson, R. S. (1999) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.128.4.479 · Cited by 141
Intact implicit habit learning in Alzheimer's disease.
Eldridge, L. L., Masterman, D. M., & Knowlton, B. J. (2002) · Behavioral Neuroscience · doi:10.1037/0735-7044.116.4.722 · Cited by 140
Reynolds, M. R., Reyes, J. F., Fu, Y., Bigio, E. H., Guillozet-Bongaarts, A. L., Berry, R. W., & Binder, L. I. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2143-06.2006 · Cited by 143
Dickerson, B. C., Wolk, D. A., & Initiative, T. A. D. N. (2010) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2009.199505 · Cited by 139
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Kalaitzakis, M. E., Graeber, M. B., Gentleman, S. M., & Pearce, R. K. B. (2008) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31816362aa · Cited by 144
Han, W.-N., Hölscher, C., Yuan, L., Yang, W., Wang, X., Wu, M., & Qi, J. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.04.009 · Cited by 141
Orbitofrontal cortex pathology in Alzheimer's disease.
van Hoesen, G. V., Parvizi, J., & Chu, C.-C. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.243 · Cited by 143
Alzheimer Disease: Current Concepts and Emerging Diagnostic and Therapeutic Strategies
Clark, C. M., & Karlawish, J. H. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-5-200303040-00010 · Cited by 139
Diminished perisomatic GABAergic terminals on cortical neurons adjacent to amyloid plaques
Garcia-Marin, V. (2009) · Frontiers in Neuroanatomy · doi:10.3389/neuro.05.028.2009 · Cited by 136
Murray, A. M., Weihmueller, F. B., Marshall, J. F., Hurtig, H. I., Gottleib, G. L., & Joyce, J. N. (1995) · Annals of Neurology · doi:10.1002/ana.410370306 · Cited by 135
Rose, S., de Zubicaray, G. I., Wang, D., Galloway, G. J., Chalk, J. B., Eagle, S., Semple, J. M., & Doddrell, D. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(98)00168-4 · Cited by 135
Wesson, D. W., Borkowski, A. H., Landreth, G. E., Nixon, R. A., Levy, E., & Wilson, D. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2085-11.2011 · Cited by 134
Odor Identification and Decline in Different Cognitive Domains in Old Age
Wilson, R. S., Arnold, S. E., Tang, Y., & Bennett, D. A. (2006) · Neuroepidemiology · doi:10.1159/000090250 · Cited by 139
Self-citationMega, M. S., Chen, S. S., Thompson, P. M., Woods, R. P., Karaca, T. J., Tiwari, A. S., Vinters, H. V., Small, G. W., & Toga, A. W. (1997) · NeuroImage · doi:10.1006/nimg.1996.0255 · Cited by 132
CELLULAR AND MOLECULAR BIOLOGY OF ALZHEIMER'S DISEASE AND ANIMAL MODELS
Price, D. L., & Sisodia, S. S. (1994) · Annual Review of Medicine · doi:10.1146/annurev.med.45.1.435 · Cited by 132
Cerebral amyloid PET imaging in Alzheimer’s disease
Jack, C. R., Barrio, J. R., & Kepe, V. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1185-7 · Cited by 137
A plasticity-based theory of the pathogenesis of Alzheimer's disease.
MESULAM, M. ‐. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb05559.x · Cited by 130
Plasma Cortisol and Progression of Dementia in Subjects With Alzheimer-Type Dementia
Csernansky, J. G., Dong, H., Fagan, A. M., Wang, L., Xiong, C., Holtzman, D. M., & Morris, J. C. (2006) · American Journal of Psychiatry · doi:10.1176/appi.ajp.163.12.2164 · Cited by 426
Wakisaka, Y., Furuta, A., Tanizaki, Y., Kiyohara, Y., Iida, M., & Iwaki, T. (2003) · Acta Neuropathologica · doi:10.1007/s00401-003-0750-x · Cited by 129
[18F]THK-5117 PET for assessing neurofibrillary pathology in Alzheimer’s disease
Harada, R., Okamura, N., Furumoto, S., Furukawa, K., Ishiki, A., Tomita, N., Hiraoka, K., Watanuki, S., Shidahara, M., Miyake, M., et al. (2015) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-015-3035-4 · Cited by 128
Pathology of the Insular Cortex in Alzheimer Disease Depends on Cortical Architecture
Bonthius, D. J., Solodkin, A., & Hoesen, G. W. V. (2005) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/01.jnen.0000182983.87106.d1 · Cited by 128
Geula, C., Nagykery, N. G., & Wu, C. (2001) · Acta Neuropathologica · doi:10.1007/s004010100429 · Cited by 130
Rivara, C., Sherwood, C. C., Bouras, C., & Hof, P. R. (2003) · The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology · doi:10.1002/ar.a.10015 · Cited by 128
Hof, P. R., Delacourte, A., & Bouras, C. (1992) · Acta Neuropathologica · doi:10.1007/bf00427214 · Cited by 128
Aluminum’s Involvement in the Progression of Alzheimer’s Disease
Walton, J. R. (2013) · Journal of Alzheimer s Disease · doi:10.3233/jad-121909 · Cited by 128
Evolution of Alzheimer’s disease related cortical lesions
Braak, H., Braak, E., Bohl, J. R. E., & Bratzke, H. (1998) · Journal of neural transmission. Supplementum · doi:10.1007/978-3-7091-7508-8_9 · Cited by 127
Genetic architecture of Alzheimer's disease
Neuner, S. M., TCW, J., & Goate, A. M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104976 · Cited by 126
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Validity of the Clinical Diagnostic Criteria for Vascular Dementia: A Critical Review. Part II
Wiederkehr, S., Simard, M., Fortin, C., & van Reekum, R. (2008) · Journal of Neuropsychiatry · doi:10.1176/jnp.2008.20.2.162 · Cited by 128
Adamowicz, D. H., Roy, S., Salmon, D. P., Galasko, D. R., Hansen, L. A., Masliah, E., & Gage, F. H. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3047-16.2016 · Cited by 133
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Grossman, M., Smith, E. E., Koenig, P. L., Glosser, G., DeVita, C., Moore, P., & McMillan, C. T. (2002) · NeuroImage · doi:10.1006/nimg.2002.1273 · Cited by 131
Sheng, J. G., Price, D. L., & Koliatsos, V. E. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-22-09794.2002 · Cited by 124
Walton, J. R. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-132204 · Cited by 126
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Arnold, S. E., Louneva, N., Cao, K., Wang, L.-S., Han, L.-Y., Wolk, D. A., Negash, S., Leurgans, S. E., Schneider, J. A., Buchman, A. S., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.03.004 · Cited by 123
Self-citationBussire, T., Gold, G., Kvari, E., Giannakopoulos, P., Bouras, C., Perl, D. P., Morrison, J. H., & Hof, P. R. (2003) · Neuroscience · doi:10.1016/s0306-4522(02)00942-9 · Cited by 122
Propagation of tau pathology in Alzheimer’s disease: identification of novel therapeutic targets
Pooler, A. M., Polydoro, M., Wegmann, S., Nicholls, S. B., Spires‐Jones, T. L., & Hyman, B. T. (2013) · Alzheimer s Research & Therapy · doi:10.1186/alzrt214 · Cited by 130
Self-citationArendt, T., Brückner, M. K., Gertz, H.-J., & Marcova, L. (1998) · Neuroscience · doi:10.1016/s0306-4522(97)00509-5 · Cited by 122
Arendt, T., Holzer, M., Grossmann, A., Zedlick, D., & Brückner, M. K. (1995) · Neuroscience · doi:10.1016/0306-4522(95)00146-a · Cited by 123
Compounding artefacts with uncertainty, and an amyloid cascade hypothesis that is ‘too big to fail’
Castellani, R. J., & Smith, M. A. (2011) · The Journal of Pathology · doi:10.1002/path.2885 · Cited by 129
Cellular and Molecular Neuropathology of the Parahippocampal Region in Schizophrenia
Arnold, S. E. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06732.x · Cited by 121
Self-citationClinicopathologic correlates in temporal cortex in dementia with Lewy bodies
Gómez‐Isla, T., Growdon, W., McNamara, M. J., Newell, K. L., Gómez‐Tortosa, E., Hedley‐Whyte, E. T., & Hyman, B. T. (1999) · Neurology · doi:10.1212/wnl.53.9.2003 · Cited by 121
Self-citationDistinct patterns of APP processing in the CNS in autosomal-dominant and sporadic Alzheimer disease.
Pera, M., Alcolea, D., Sánchez-Valle, R., Guardia-Laguarta, C., Colom-Cadena, M., Badiola, N., Suárez-Calvet, M., Lladó, A., Barrera-Ocampo, A. A., Sepulveda-Falla, D., et al. (2013) · Acta Neuropathologica · doi:10.1007/s00401-012-1062-9 · Cited by 115
Characterization of Atrophic Changes in the Cerebral Cortex Using Fractal Dimensional Analysis
Initiative, A. T. A. D. N., King, R., George, A. T., Jeon, T., Hynan, L. S., Youn, T. S., Kennedy, D. N., & Dickerson, B. C. (2009) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9057-9 · Cited by 123
Ziolko, S. K., Weissfeld, L. A., Klunk, W. E., Mathis, C. A., Hoge, J. A., Lopresti, B. J., DeKosky, S. T., & Price, J. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.063 · Cited by 119
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Tolboom, N., Yaqub, M. M., van der Flier, W. M., Boellaard, R., Luurtsema, G., Windhorst, A. D., Barkhof, F., Scheltens, P., Lammertsma, A. A., & van Berckel, B. N. M. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.056499 · Cited by 119
Davidson, M., Harvey, P. D., Welsh-Bohmer, K. A., Powchik, P., Putnam, K. M., & Mohs, R. C. (1996) · American Journal of Psychiatry · doi:10.1176/ajp.153.10.1274 · Cited by 119
Neurons in Vulnerable Regions of the Alzheimer’s Disease Brain Display Reduced ATM Signaling
Shen, X., Chen, J., Li, J., Kofler, J., & Herrup, K. (2016) · eNeuro · doi:10.1523/eneuro.0124-15.2016 · Cited by 121
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Mathis, C. A., Lopresti, B. J., & Klunk, W. E. (2007) · Nuclear Medicine and Biology · doi:10.1016/j.nucmedbio.2007.06.015 · Cited by 121
Hof, P. R. (1992) · Archives of Neurology · doi:10.1001/archneur.1992.00530330070019 · Cited by 118
Mathieu-Kia, A.-M., Fan, L.-Q., Kreek, M. J., Simon, E. J., & Hiller, J. M. (2001) · Brain Research · doi:10.1016/s0006-8993(00)03302-3 · Cited by 118
In vivo characterization of the early states of the amyloid-beta network
Sepulcre, J., Sabuncu, M. R., Becker, A., Sperling, R., & Johnson, K. A. (2013) · Brain · doi:10.1093/brain/awt146 · Cited by 117
Visual Impairment in Alzheimer's Disease: A Critical Review
Kirby, E., Bandelow, S., & Hogervorst, E. (2010) · Journal of Alzheimer s Disease · doi:10.3233/jad-2010-080785 · Cited by 117
Assessing neuronal networks: Understanding Alzheimer's disease
Bokde, A. L. W., Ewers, M., & Hampel, H. J. (2009) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2009.06.004 · Cited by 120
Life and Death of Neurons in The Aging Cerebral Cortex
Morrison, J. H., & Hof, P. R. (2007) · International review of neurobiology · doi:10.1016/s0074-7742(06)81004-4 · Cited by 120
Response-monitoring dysfunction in aging and Alzheimer’s disease: an event-related potential study
Mathalon, D. H., Bennett, A., Askari, N., Gray, E. M., Rosenbloom, M. J., & Ford, J. M. (2002) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00154-9 · Cited by 120
Murphy, D., DeCarli, C. S., Daly, E., Gillette, J., McIntosh, A. R., Haxby, J. V., Teichberg, D., Schapiro, M. B., Рапопорт, С. И., & Horwitz, B. (1993) · Biological Psychiatry · doi:10.1016/0006-3223(93)90153-5 · Cited by 117
Dawe, R. J., Bennett, D. A., Schneider, J. A., & Arfanakis, K. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026286 · Cited by 117
Elevation of Cystatin C in Susceptible Neurons in Alzheimer's Disease
Deng, A., Irizarry, M. C., Nitsch, R. M., Growdon, J. H., & Rebeck, G. W. (2001) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)61781-6 · Cited by 116
Repetition Priming in Aging and Alzheimer's Disease: An Integrative Review and Future Directions
Fleischman, D. A. (2007) · Cortex · doi:10.1016/s0010-9452(08)70688-9 · Cited by 125
Linear measures of atrophy in mild Alzheimer disease.
Frisoni, G. B., Beltramello, A., Weiss, C., Geroldi, C., Bianchetti, A., & Trabucchi, M. (1996) · PubMed Central · Cited by 116
Memory systems analyses of mnemonic disorders in aging and age-related diseases
Gabrieli, J. D. E. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.24.13534 · Cited by 116
Changes in visual function and retinal structure in the progression of Alzheimer's disease
Salobrar‐García, E., de Hoz, R., Ramirez, A. I., López‐Cuenca, I., Rojas, P., Vazirani, R., Cuadrado, C. A., Yubero, R., Gil, P., Pinazo-Duran, M. D., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0220535 · Cited by 120
Bentley, P., Driver, J., & Dolan, R. J. (2007) · Brain · doi:10.1093/brain/awm299 · Cited by 115
Duan, J., Wang, H., Xu, J., Lin, X. Z., Chen, S., Kang, Z., & Yao, Z. (2006) · Surgical and Radiologic Anatomy · doi:10.1007/s00276-006-0111-2 · Cited by 115
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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