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Cognitive impact of neuronal pathology in the entorhinal cortex and CA1 field in Alzheimer's disease
Abstract
The relative contribution of Alzheimer's disease (AD) hippocampal neuronal pathology in cognitive decline is still a matter of debate. To address this issue, we performed a stereological analysis of layer II of the entorhinal cortex and the CA1 field of the hippocampus in 34 autopsy cases covering the whole spectrum of old age and Clinical Dementia Rating (CDR) scores. In both areas, the proportion of neurofibrillary tangle (NFT)-containing neurons increased steadily as a function of the CDR score. Questionable dementia was associated with a 1.9% neuronal loss in the entorhinal cortex and 26% in the CA1 field. NFT numbers predicted only 38% of the neuron number variability in the entorhinal cortex and 55% in the CA1 field. Neuron counts in the entorhinal cortex and both neuron and NFT counts in the CA1 field were significantly associated with cognitive status explaining 25% and 44% of the CDR variability, respectively. Our data reveal a dissociation between the patterns of progression of NFT and neuronal loss in the entorhinal cortex and CA1 field. Moreover, they show that less than 50% of the cognitive variability may be attributable to AD neuronal pathology in these areas.
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“Moreover, several studies have reported a strong negative correlation between neuronal counts and NFT number in the CA1 subfield (Fukutani et al., 2000; Von Gunten et al., 2006) suggesting that the progression of brain atrophy and the progression of NFT are strongly associated (Whitwell et al., 2008).”
From Hippocampal subfield volumetry in mild cognitive impairment, Alzheimer's disease and semantic dementia (2013) · cites this paper as Von Gunten et al., 2006
Citations
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
West, M. J., Slomianka, L., & Gundersen, H. J. G. (1991) · The Anatomical Record · doi:10.1002/ar.1092310411 · Cited by 2,994
Alzheimer's disease: cell-specific pathology isolates the hippocampal formation.
Hyman, B. T., Van Hoesen, G. W., Damasio, A. R., & Barnes, C. L. (1984) · Science · doi:10.1126/science.6474172 · Cited by 2,268
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542
Neuronal loss correlates with but exceeds neurofibrillary tangles in Alzheimer's disease
Gómez‐Isla, T., Hollister, R., West, H., Mui, S., Growdon, J. H., Petersen, R. C., Parisi, J. E., & Hyman, B. T. (1997) · Annals of Neurology · doi:10.1002/ana.410410106 · Cited by 1,489
Paxinos, G., & Jürgen, K. (2004) · Cited by 1,478
Differences in the pattern of hippocampal neuronal loss in normal ageing and Alzheimer's disease
West, M. J., Coleman, P. D., Flood, D. G., & Troncoso, J. C. (1994) · The Lancet · doi:10.1016/s0140-6736(94)92338-8 · Cited by 1,267
Unbiased stereological estimation of the number of neurons in the human hippocampus
West, M. J., & Gundersen, H. J. G. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.902960102 · Cited by 1,153
Tangle and neuron numbers, but not amyloid load, predict cognitive status in Alzheimer’s disease
Giannakopoulos, P., Herrmann, F. R., Bussière, T., Bouras, C., Kövari, E., Perl, D. P., Morrison, J. H., Gold, G., & Hof, P. R. (2003) · Neurology · doi:10.1212/01.wnl.0000063311.58879.01 · Cited by 1,118
Neocortical cell counts in normal human adult aging
Terry, R. D., DeTeresa, R. M., & Hansen, L. A. (1987) · Annals of Neurology · doi:10.1002/ana.410210603 · Cited by 686
Perforant pathway changes and the memory impairment of Alzheimer's disease
Hyman, B. T., Van Hoesen, G. W., Kromer, L. J., & Damasio, A. R. (1986) · Annals of Neurology · doi:10.1002/ana.410200406 · Cited by 672
Regionally specific loss of neurons in the aging human hippocampus
West, M. J. (1993) · Neurobiology of Aging · doi:10.1016/0197-4580(93)90113-p · Cited by 626
Neuron Number in the Entorhinal Cortex and CA1 in Preclinical Alzheimer Disease
Price, J. L., Ko, A. I., Wade, M. J., Tsou, S. K., McKeel, D. W., & Morris, J. C. (2001) · Archives of Neurology · doi:10.1001/archneur.58.9.1395 · Cited by 596
Rosene, D. L., & Van Hoesen, G. W. (1987) · Cerebral Cortex · doi:10.1007/978-1-4615-6616-8_9 · Cited by 422
Memory: brain systems and behavior
Squire, L. R., & Zola-Morgan, S. M. (1988) · Trends in Neurosciences · doi:10.1016/0166-2236(88)90144-0 · Cited by 416
Making the diagnosis of Alzheimer's disease. A primer for practicing pathologists.
Mirra, S. S., Hart, M. N., & Terry, R. D. (1993) · PubMed · Cited by 412
Rogers, J., & Morrison, J. (1985) · Journal of Neuroscience · doi:10.1523/jneurosci.05-10-02801.1985 · Cited by 410
Hof, P. R., Morrison, J. H., & Cox, K. (1990) · Journal of Comparative Neurology · doi:10.1002/cne.903010105 · Cited by 365
Newell, K. L., Hyman, B. T., Growdon, J. H., & Hedley-Whyte, E. T. (1999) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199911000-00004 · Cited by 289
Braak, H., & Braak, E. (1985) · Acta Neuropathologica · doi:10.1007/bf00690836 · Cited by 287
Schmitz, C., & Hof, P. R. (2000) · Journal of Chemical Neuroanatomy · doi:10.1016/s0891-0618(00)00066-1 · Cited by 272
Self-citationMorrison, J. H., & Hof, P. R. (2002) · Progress in brain research · doi:10.1016/s0079-6123(02)36039-4 · Cited by 241
Memory and mental status correlates of modified Braak staging
Grober, E. H., Dickson, D. W., Sliwinski, M. J., Herman Buschke, L., Katz, M., Crystal, H., & Lipton, R. B. (1999) · Neurobiology of Aging · doi:10.1016/s0197-4580(99)00063-9 · Cited by 235
Kril, J., Patel, S., Harding, A., & Halliday, G. (2002) · Acta Neuropathologica · doi:10.1007/s00401-001-0477-5 · Cited by 190
Giannakopoulos, P., Hof, P. R., Michel, J., Guimón, J., & Bouras, C. (1997) · Brain Research Reviews · doi:10.1016/s0165-0173(97)00023-4 · Cited by 174
Buée‐Scherrer, V., Condamines, O., Mourton-Gilles, C., Jakes, R., Goedert, M., Pau, B., & Delacourte, A. (1996) · Molecular Brain Research · doi:10.1016/0169-328x(96)00003-4 · Cited by 161
Variation of fractionator estimates and its prediction
Schmitz, C. (1998) · Anatomy and Embryology · doi:10.1007/s004290050191 · Cited by 129
Wagner, C. K., & Morrell, J. I. (1996) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19960617)370:1 · Cited by 127
Variation in hippocampal neuron number with age and brain volume
Harding, A. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.8.710 · Cited by 120
Bussière, T., Friend, P. D., Sadeghi, N., Wicinski, B. A., Lin, G. I., Bouras, C., Giannakopoulos, P., Robakis, N. K. R. K., Morrison, J. H., Perl, D. P., et al. (2002) · Neuroscience · doi:10.1016/s0306-4522(02)00056-8 · Cited by 108
Giannakopoulos, P., Hop, P. R., Kövari, E., Vallet, P. G., Herrmann, F. R., & Bouras, C. (1996) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-199612000-00004 · Cited by 98
Hof, P. R., Bussière, T., Gold, G., Kövari, E., Giannakopoulos, P., Bouras, C., Perl, D. P., & Morrison, J. H. (2003) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/62.1.55 · Cited by 85
Clinical Validity of Aß-Protein Deposition Staging in Brain Aging and Alzheimer Disease
Gold, G., Kövari, E., Corte, G., Herrmann, F. R., Canuto, A., Bussière, T., Hof, P. R., Bouras, C., & Giannakopoulos, P. (2001) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/60.10.946 · Cited by 67
Practical approaches to stereology in the setting of aging- and disease-related brain banks
Perl, D. P., Good, P. F., Bussière, T., Morrison, J. H., ERWIN, J. M., & Hof, P. R. (2000) · Journal of Chemical Neuroanatomy · doi:10.1016/s0891-0618(00)00077-6 · Cited by 61
Schwab, C., Schulzer, M., Steele, J. C., & McGeer, P. L. (1999) · Neurobiology of Aging · doi:10.1016/s0197-4580(99)00005-6 · Cited by 24
Neurocalcin-immunoreactive cells in the rat hippocampus are GABAergic interneurons
Martinez-Guijarro, F. J., Briñón, J. G., Blasco-Ib��ez, J. M., Okazaki, K., Hidaka, H., & Alonso, J. R. (1998) · Hippocampus · doi:10.1002/(sici)1098-1063(1998)8:1 · Cited by 11
Role for peroxisome proliferator-activated receptor-gamma in Alzheimer's disease.
van Geel (2001) · Open Repository and Bibliography (University of Luxembourg) · doi:10.1002/1531-8249(20010201)49:2 · Cited by 7
?imi?, G., Kostovi?, I., Winblad, B., & Bogdanovi?, N. (1997) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19970324)379:4
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Synaptic alterations in CA1 in mild Alzheimer disease and mild cognitive impairment
Scheff, S. W., Price, D. A., Schmitt, F. A., DeKosky, S. T., & Mufson, E. J. (2007) · Neurology · doi:10.1212/01.wnl.0000260698.46517.8f · Cited by 824
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Bejanin, A., Schonhaut, D. R., La Joie, R., Kramer, J. H., Baker, S. L., Sosa, N., Ayakta, N., Cantwell, A., Janabi, M., Lauriola, M., et al. (2017) · Brain · doi:10.1093/brain/awx243 · Cited by 778
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de Florès, R., Joie, R. L., & Chételat, G. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.08.033 · Cited by 387
Nelson, P. T., Jicha, G. A., Schmitt, F. A., Liu, H., Davis, D. G., Mendiondo, M. S., Abner, E. L., & Markesbery, W. R. (2007) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/nen.0b013e31815c5efb · Cited by 292
La Joie, R., Perrotin, A., de La Sayette, V., Egret, S., Doeuvre, L., Belliard, S., Eustache, F., Desgranges, B., & Chételat, G. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.08.007 · Cited by 290
Metadata
- Authors
- GUNTEN, A., KOVARI, E., BUSSIERE, T., RIVARA, C., GOLD, G., BOURAS, C., HOF, P., & GIANNAKOPOULOS, P.
- Affiliations
- University of Lausanne (CH)
- Icahn School of Medicine at Mount Sinai (US)
- University of Geneva (CH)
- Corresponding author
- HOF, P
- GIANNAKOPOULOS, P
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2006-02
- Volume
- 27
- Issue
- 2
- Pages
- 270-277
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2085182512
- Cited by
- 101
- References
- 39
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 6 · 2023: 6 · 2022: 4 · 2021: 9 · 2020: 5 · 2019: 4 · 2018: 5 · 2017: 5 · 2016: 2 · 2015: 2 · 2014: 4 · 2013: 6 · 2012: 3
- FWCI
- 2.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- IRIS (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (AG-02219, AG 05138, P50AG005138, P01AG002219)
- 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 › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- Alzheimer's disease, entorhinal cortex, CA1 field, hippocampus, neurofibrillary tangles, neuronal loss, cognitive decline, Clinical Dementia Rating, stereology, neuronal pathology, dementia progression
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Brain Mapping, Cell Count, Cognition Disorders, Diagnosis, Computer-Assisted, Female, Hippocampus, Humans, Immunohistochemistry, Male, Middle Aged, Neurons, Neurofibrillary Tangles, Entorhinal Cortex
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