Alzheimer's-type neuropathology in the precuneus is not increased relative to other areas of neocortex across a range of cognitive impairment
Open accessAbstract
We studied Alzheimer's disease (AD) pathology in the precuneus and surrounding brain areas. Anatomically, the precuneus corresponds to the medial portion of human cerebral cortical Brodmann Area 7. This study utilized patients from the University of Kentucky Alzheimer's Disease Center autopsy cohort. Data from 47 brains were used comprising patients of differing antemortem cognitive impairment severities, each with longitudinal clinical data and extensive neuropathological data. We assessed whether the precuneus and surrounding areas are differentially vulnerable to AD-type pathological lesions (diffuse amyloid plaques, neuritic amyloid plaques, and neurofibrillary tangles). Eleven areas of brain were evaluated for each case: amygdala, hippocampal CA1, subiculum, entorhinal cortex, frontal cortex, superior and middle temporal gyri, inferior parietal lobule, occipital cortex, posterior cingulate gyrus, Brodmann Area 31, and the precuneus proper. Like other areas of neocortex, the precuneus demonstrated increased diffuse and neuritic amyloid plaques early in the evolution in AD, and increased neurofibrillary tangles late in AD. Correcting for the antemortem cognitive status of the patients, there was no evidence of an increase in the density of AD-type pathology in the precuneus or neighboring areas relative to other areas of cerebral neocortex. Our results are not consistent with the idea that the precuneus is involved in a special way with plaques or tangles relative to other areas of neocortex.
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
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?
Evaluation of AD status was conducted using National Institute on Aging Reagan Institute guidelines including evaluation of neurofibrillary tangles and neuritic senile plaques.
“Evaluation of AD status was conducted by the AD Center Neuropathology and Clinical Cores using guidelines set forth by the National Institute on Aging Reagan Institute that included evaluation of neurofibrillary tangles and neuritic senile plaques [36–38].”
From Predominant expression of Alzheimer’s disease-associated BIN1 in mature oligodendrocytes and localization to white matter tracts (2016) · cites this paper as [36]
The study description (page unavailable) says the University of Kentucky Alzheimer’s Disease Center routinely counted neurofibrillary tangles and neuritic plaques, and that patients received post-mortem consensus diagnoses. Our copy does not state that AD status was evaluated under National Institute on Aging–Reagan Institute guidelines or identify the AD Center Neuropathology and Clinical Cores as conducting that evaluation. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPIB retention within a brain generally indicates the presence of Aβ plaques.
“Brain retention may reflect plaque or non-plaque fibrillar Aβ binding, and possibly also Aβ-independent phenomena, but PIB retention within a brain generally indicates the presence of Aβ plaques [69, 70].”
From Brain aging, Alzheimer's disease, and mitochondria (2011) · cites this paper as [70]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
The precuneus: a review of its functional anatomy and behavioural correlates
Cavanna, A. E., & Trimble, M. R. (2006) · Brain · doi:10.1093/brain/awl004 · Cited by 5,128 · see citing works
Imaging brain amyloid in Alzheimer's disease with Pittsburgh Compound‐B
Klunk, W. E., Engler, H., Nordberg, A., Wang, Y., Blomqvist, G., Holt, D. P., Bergström, M., Savitcheva, I., Huang, G., Estrada, S., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20009 · Cited by 4,496 · see citing works
Spreng, R. N., Mar, R. A., & Kim, A. S. N. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21029 · Cited by 2,143 · see citing works
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Memory and Executive Function in Aging and AD
Buckner, R. L. (2004) · Neuron · doi:10.1016/j.neuron.2004.09.006 · Cited by 1,508 · see citing works
Imaging β-amyloid burden in aging and dementia
Rowe, C. C., Ng, S., Ackermann, U., Gong, S. J., Pike, K., Savage, G., Cowie, T. F., Dickinson, K. L., Maruff, P., Darby, D., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000261919.22630.ea · Cited by 1,104 · see citing works
Self-citation[ <sup>11</sup> C]PIB in a nondemented population: Potential antecedent marker of Alzheimer disease
Mintun, M. A., LaRossa, G. N., Sheline, Y. I., Dence, C. S., Lee, S. Y., Mach, R. H., Klunk, W. E., Mathis, C. A., DeKosky, S. T., & Morris, J. C. (2006) · Neurology · doi:10.1212/01.wnl.0000228230.26044.a4 · Cited by 1,036 · see citing works
In Vivo Mapping of Gray Matter Loss with Voxel-Based Morphometry in Mild Alzheimer's Disease
Baron, J., Chételat, G., Desgranges, B., Perchey, G., Landeau, B., Sayette, V. D. L., & Eustache, F. (2001) · NeuroImage · doi:10.1006/nimg.2001.0848 · Cited by 683 · see citing works
Amyloid, hypometabolism, and cognition in Alzheimer disease: An [11C]PIB and [18F]FDG PET study
Edison, P., Archer, H. A., Hinz, R., Hammers, A., Pavese, N., Tai, Y. F., Hotton, G., Cutler, D., Fox, N., Kennedy, A., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000244749.20056.d4 · Cited by 518 · see citing works
Different regional patterns of cortical thinning in Alzheimer's disease and frontotemporal dementia
Du, A., Schuff, N. W., Kramer, J. H., Rosen, H. J., Gorno‐Tempini, M. L., Rankin, K. P., Miller, B. L., & Weiner, M. W. (2006) · Brain · doi:10.1093/brain/awm016 · Cited by 479 · see citing works
Neuropathologic Substrate of Mild Cognitive Impairment
Markesbery, W. R., Schmitt, F. A., Kryscio, R. J., Davis, D. G., Smith, C. D., & Wekstein, D. R. (2006) · Archives of Neurology · doi:10.1001/archneur.63.1.38 · Cited by 460 · see citing works
Self-citationDetection of grey matter loss in mild Alzheimer's disease with voxel based morphometry
Frisoni, G. B. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.73.6.657 · Cited by 386 · see citing works
“Preclinical” AD revisited: Neuropathology of cognitively normal older adults
Schmitt, F. A., Davis, D. G., Wekstein, D. R., Smith, C. D., Ashford, J. W., & Markesbery, W. R. (2000) · Neurology · doi:10.1212/wnl.55.3.370 · Cited by 369 · see citing works
Self-citationRegional glucose metabolic abnormalities are not the result of atrophy in Alzheimer's disease
Ibáñez, V., Pietrini, P., Alexander, G. E., Furey, M. L., Teichberg, D., Rajapakse, J. C., Рапопорт, С. И., Schapiro, M. B., & Horwitz, B. (1998) · Neurology · doi:10.1212/wnl.50.6.1585 · Cited by 322 · see citing works
Precuneus atrophy in early-onset Alzheimer’s disease: a morphometric structural MRI study
Karas, G. B., Scheltens, P., Rombouts, S. A. R. B., van Schijndel, R. A., Klein, M., Jones, B. F., van der Flier, W. M., Vrenken, H., & Barkhof, F. (2007) · Neuroradiology · doi:10.1007/s00234-007-0269-2 · Cited by 292 · see citing works
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 · see citing works
Self-citationPositron emission tomography imaging in dementia
HERHOLZ, K., CARTER, S. F., & JONES, M. (2007) · The British Journal of Radiology · doi:10.1259/bjr/97295129 · Cited by 287 · see citing works
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 173 · see citing works
Cortical Deactivation in Mild Cognitive Impairment: High-Field-Strength Functional MR Imaging
Petrella, J. R., Wang, L., Krishnan, S., Slavin, M. J., Prince, S. E., Tran, T.-T. T., & Doraiswamy, P. M. (2007) · Radiology · doi:10.1148/radiol.2451061847 · Cited by 148 · see citing works
Brain Donation in Normal Aging
Schmitt, F. A., Wetherby, M. M. C., Wekstein, D. R., DEARTH, C., & Markesbery, W. R. (2001) · The Gerontologist · doi:10.1093/geront/41.6.716 · Cited by 88 · see citing works
Self-citationVannini, P., Almkvist, O., Dierks, T., Lehmann, C. U., & Wahlund, L. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2007.02.003 · Cited by 68 · see citing works
Pathologic Correlates of Apraxia in Alzheimer Disease
Giannakopoulos, P., Duc, M., Gold, G., Hof, P. R., Michel, J., & Bouras, C. (1998) · Archives of Neurology · doi:10.1001/archneur.55.5.689 · Cited by 58 · see citing works
One-Year Change in Cerebral Glucose Metabolism in Patients With Alzheimer's Disease
Hirono, N., Hashimoto, M., Ishii, K., Kazui, H., & Mori, E. (2004) · Journal of Neuropsychiatry · doi:10.1176/jnp.16.4.488 · Cited by 34 · see citing works
Nelson, P. T., Kryscio, R. J., Abner, E. L., Schmitt, F. A., Jicha, G. A., Mendiondo, M. S., Cooper, G. E., Smith, C. D., & Markesbery, W. R. (2009) · Journal of Alzheimer s Disease · doi:10.3233/jad-2009-0926 · Cited by 28 · see citing works
Self-citationCaramelli, P., Robitaille, Y., Laroche-Cholette, A., Nitríni, R., Gauvreau, D., Joanette, Y., & Lecours, A. (1998) · PubMed · Cited by 28 · see citing works
Spreng, R. N., Mar, R. A., & Kim, A. (2008) · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Nelson, P. T., Alafuzoff, I., Bigio, E. H., Bouras, C., Braak, H., Cairns, N. J., Castellani, R. J., Crain, B. J., Davies, P., Tredici, K. D., et al. (2012) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e31825018f7 · Cited by 2,050 · see citing works
Self-citationWebster, S. J., Bachstetter, A. D., Nelson, P. T., Schmitt, F. A., & Van Eldik, L. J. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00088 · Cited by 755 · see citing works
“First, the strongest correlation between amyloid plaques and cognition is in the early stages of the disease and this association weakens as NFTs and gross neocortical neurodegeneration become more widespread (Thal et al., 2002; Nelson et al., 2009b, 2012).”
BackgroundInfluentialSelf-citationNelson, P. T., Head, E., Schmitt, F. A., Davis, P. R., Neltner, J. H., Jicha, G. A., Abner, E. L., Smith, C. D., Van Eldik, L. J., Kryscio, R. J., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0826-y · Cited by 365 · see citing works
Self-citationNPTX2 and cognitive dysfunction in Alzheimer’s Disease
Xiao, M.-F., Xu, D., Craig, M. T., Pelkey, K. A., Chien, C.-C., Shi, Y., Zhang, J., Resnick, S., Pletnikova, O., Salmon, D., et al. (2017) · eLife · doi:10.7554/elife.23798 · Cited by 316 · see citing works
Brain aging, Alzheimer's disease, and mitochondria
Swerdlow, R. H. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2011.08.012 · Cited by 306 · see citing works
“Brain retention may reflect plaque or non-plaque fibrillar Aβ binding, and possibly also Aβ-independent phenomena, but PIB retention within a brain generally indicates the presence of Aβ plaques [69, 70].”
BackgroundHippocampal sclerosis in advanced age: clinical and pathological features
Nelson, P. T., Schmitt, F. A., Lin, Y., Abner, E. L., Jicha, G. A., Patel, E., Thomason, P. C., Neltner, J. H., Smith, C. D., Santacruz, K. S., et al. (2011) · Brain · doi:10.1093/brain/awr053 · Cited by 279 · see citing works
Self-citationForm and function of sleep spindles across the lifespan
Clawson, B. C., Durkin, J., & Aton, S. J. (2016) · Neural Plasticity · doi:10.1155/2016/6936381 · Cited by 178 · see citing works
“This may relate to progressive neurodegenerative changes that preferentially affect these cortical areas with aging [159].”
BackgroundDe Rossi, P., Buggia-Prévot, V., Clayton, B. L. L., Vasquez, J. B., van Sanford, C., Andrew, R. J., Lesnick, R., Botté, A., Deyts, C., Salem, S., et al. (2016) · Molecular Neurodegeneration · doi:10.1186/s13024-016-0124-1 · Cited by 151 · see citing works
“Evaluation of AD status was conducted by the AD Center Neuropathology and Clinical Cores using guidelines set forth by the National Institute on Aging Reagan Institute that included evaluation of neurofibrillary tangles and neuritic senile plaques [36 – 38].”
Nelson, P. T., Abner, E. L., Schmitt, F. A., Kryscio, R. J., Jicha, G. A., Santacruz, K., Smith, C. D., Patel, E., & Markesbery, W. R. (2009) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/nen.0b013e3181aacbe9 · Cited by 115 · see citing works
Self-citationLohith, T. G., Bennacef, I., Vandenberghe, R., Vandenbulcke, M., Salinas, C. A., Declercq, R., Reynders, T., Telan-Choing, N. F., Riffel, K., Celen, S., et al. (2019) · Journal of Nuclear Medicine · doi:10.2967/jnumed.118.208215 · Cited by 107 · see citing works
ABCA7 expression is associated with Alzheimer's disease polymorphism and disease status
Vasquez, J. B., Fardo, D. W., & Estus, S. (2013) · Neuroscience Letters · doi:10.1016/j.neulet.2013.09.058 · Cited by 101 · see citing works
Koch, K., Myers, N. E., Göttler, J., Pasquini, L., Grimmer, T., Förster, S., Manoliu, A., Neitzel, J., Kurz, A., Förstl, H., et al. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhu151 · Cited by 97 · see citing works
Wang, Z., Xia, M., Dai, Z., Liang, X., Song, H., He, Y., & Li, K. (2015) · Brain Structure and Function · doi:10.1007/s00429-013-0681-9 · Cited by 73 · see citing works
Correlation of brain amyloid with “aerobic glycolysis”: a question of assumptions?
Phelps, M. E., & Barrio, J. R. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1012684107 · Cited by 12 · see citing works
- Authors
- Nelson, P. T., Abner, E. L., Scheff, S. W., Schmitt, F. A., Kryscio, R. J., Jicha, G. A., Smith, C. D., Patel, E., & Markesbery, W. R.
- Affiliations
- University of Kentucky (US)
- Corresponding author
- Nelson, Peter T.
- ORCID
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2009-02
- Volume
- 450
- Issue
- 3
- Pages
- 336-339
- ISSN
- 0304-3940 (ISSN-L)
- PMC
- PMC2839166
- OpenAlex
- W2162755825
- Cited by
- 70
- References
- 27
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 4 · 2020: 2 · 2019: 2 · 2018: 4 · 2017: 6 · 2016: 3 · 2015: 1 · 2014: 6 · 2013: 7 · 2012: 9
- FWCI
- 3.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience Letters (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P50AG005144, P30AG028383)
- National Institute of Neurological Disorders and Stroke (K08NS050110)
- Topics
- Health Sciences › Medicine › Physiology › 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, precuneus, amyloid plaques, neurofibrillary tangles, cognitive impairment, neocortex, posterior cingulate cortex
- MeSH terms
- Aged, 80 and over, Alzheimer Disease, Amygdala, Brain Mapping, Cognition Disorders, Hippocampus, Humans, Nerve Degeneration, Neurons, Parietal Lobe, Neurofibrillary Tangles, Disease Progression, Neocortex, Plaque, Amyloid
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