The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Quantitative assessment of cortical synaptic density in Alzheimer's disease
Abstract
Significant progress has been made over the last decade in delineating the neuropathological and neurochemical changes in the brains of patients with Alzheimer's disease (AD). Less well studied are the actual synaptic connections of affected areas of the brain, such as the cerebral cortex. Because the final common pathway for neurotransmission involves synaptic integrity, we quantitatively assessed synaptic number and synapse size in lamina III and V of human frontal cortex (Brodmann area 9) in patients with AD and age-matched controls. Samples were also matched for postmortem interval, and artifacts associated with postmortem change were eliminated. We found a significant decrease in synaptic number per unit volume in both lamina, more marked in lamina III (-42%) than V (-29%). In both normal controls and AD brains, there was a negative correlation between synapse number and synapse size as indexed by the length of the postsynaptic density (PSD); cortical samples with fewer synapses had larger synapse size. This appeared to be a compensatory response, rather than a selective loss of small synapses, since the total amount of synaptic contact area per unit volume did not decline in lamina V (despite a 29% loss of synapses); in lamina III it was reduced 11% despite a 42% loss of synapses. The loss of synapses in AD is widespread and significant in frontal cortex; there is observable compensation by enlargement of synaptic size. This compensatory effort is overcome by the continuing loss of synapses in areas most affected by the degeneration.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Other previous transcriptomic studies and investigations into cortical synaptic density in AD have underscored the link between synaptic transmission and AD pathogenesis, demonstrating that disruptions in synaptic integrity contribute to cortical thinning in AD [74, 75].”
From Association of APOC1 with cortical atrophy during conversion to Alzheimer’s disease (2025) · cites this paper as [75]
In the citing paper
“Our findings, consistent with previous studies [72, 74–76], reinforce the connection between synaptic dysfunction and AD pathogenesis, suggesting that disruptions in synaptic integrity contribute to cortical thinning and cognitive decline.”
From Association of APOC1 with cortical atrophy during conversion to Alzheimer’s disease (2025) · cites this paper as [75]
In the citing paper
“Nonetheless, in the absence of more definitive premortem cognitive status data, the present research focuses on a correlate of dementia that is quantifiable postmortem, synapse loss, 11,12 and not on dementia itself.”
From Soluble Amyloid β Peptide Concentration as a Predictor of Synaptic Change in Alzheimer's Disease (1999) · cites this paper as [11]
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
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
Statistical Principles in Experimental Design
Myers, J. L., & Winer, B. J. (1964) · The American Journal of Psychology · doi:10.2307/1419292 · Cited by 8,111
The cholinergic hypothesis of geriatric memory dysfunction
Bartus, R. T., Dean, R. L., Beer, B., & Lippa, A. S. (1982) · Science · doi:10.1126/science.7046051 · Cited by 5,545
Alzheimer's Disease: A Disorder of Cortical Cholinergic Innervation
Coyle, J. T., Price, D. L., & DeLong, M. R. (1983) · Science · doi:10.1126/science.6338589 · Cited by 3,052
Synaptic density in human frontal cortex —Developmental changes and effects of aging
Peter R., H. (1979) · Brain Research · doi:10.1016/0006-8993(79)90349-4 · Cited by 2,645
Diagnosis of Alzheimer's Disease
Khachaturian, Z. S. (1985) · Archives of Neurology · doi:10.1001/archneur.1985.04060100083029 · Cited by 2,499
The Clinical Diagnosis of Alzheimer's Disease
Wade, J. P. H., Mirsen, T. R., Hachinski, V. C., Fisman, M., Lau, C. S., & Merskey, H. (1987) · Archives of Neurology · doi:10.1001/archneur.1987.00520130016010 · Cited by 1,416
Davies, P., Katzman, R., & Terry, R. D. (1980) · Nature · doi:10.1038/288279a0 · Cited by 882
Some morphometric aspects of the brain in senile dementia of the alzheimer type
Terry, R. D., Peck, A., DeTeresa, R., Schechter, R., & Horoupian, D. S. (1981) · Annals of Neurology · doi:10.1002/ana.410100209 · Cited by 801
Cited by
Sorted by citations
Items 401–445 of 445
Nolan, G., Holland, N., Yang, S. W., Dall‘O’, G. M., Chen, Q., Allinson, K. S. J., Savulich, G., Halliday, K., Naessens, M., Hong, Y. T., et al. (2026) · medRxiv · doi:10.64898/2026.06.02.26354325 · Cited by 1
Alzheimer’s Disease: Disruption of Mind-Brain Relations
Рапопорт, С. И. (1992) · Springer eBooks · doi:10.1007/978-3-642-46759-2_8 · Cited by 1
INTERACTIONS OF CHOLINERGIC INNERVATION AND SOLUBLE AB42 PEPTIDE METABOLISM IN THE HIPPOCAMPUS
Isanski, B. A. (2007) · D-Scholarship@Pitt (University of Pittsburgh)
Effects of neuronal Nogo-A on properties of excitatory synapses of the sensorimotor cortex
Case, A. M. (2011) · Loyola eCommons (Loyola University of Chicago)
Neuroinflammatory Alterations via CD-36 in Traumatic Brain Injury
Hernandez‐Ontiveros, D. G. (2015) · Digital Commons - University of South Florida (University of South Florida)
Synaptic Pathology in Dementia
Scheff, S. W. (2006) · Springer eBooks · doi:10.1007/978-0-387-32562-0_30
Aβ-Induced Toxicity Mediated by Caspase Cleavage of the Amyloid Precursor Protein (APP)
Koo, E. H., & Bredesen, D. E. (2008) · Research and perspectives in Alzheimer's disease · doi:10.1007/978-3-540-76330-7_11
Synaptic mitochondria and ageing: computer-assisted morphometry in rat cerebellar glomeruli
Bertoni–Freddari, C., Fattoretti, P., & Meier-Ruge, W. A. (1994) · Archives of Gerontology and Geriatrics · doi:10.1016/0167-4943(94)00565-6
Sharma, V., & Goyal, A. K. (2010)
Pathological Changes in Neurodegenerative Disease
Mann, D. M. A. (1997) · Springer eBooks · doi:10.1007/978-1-4615-6001-2_3
D Spine Pathology: Cause or Consequence of Neurological Disorders?
Fiala, J. C., Špaček, J., & Harris, K. M. (2002)
TRAFFICKING OF α-SECRETASE ADAM10: NEW INSIGHTS INTO THE MOLECULAR MECHANISM OF MODULATION
Farmacologiche, S., Farmacia, F. D., Farmacotossicologiche, S., & Ciclo, X. (2011)
IMMUNOTHERAPY IN COMBINATION WITH BEHAVIORAL ENRICHMENT IN A CANINE MODEL OF AGING
Davis, P. R. (2014) · UKnowledge (University of Kentucky)
Stages of Brain Functional Failure in Alzheimer’s Disease
Rapoport, S. I. (2007) · Humana Press eBooks · doi:10.1007/978-1-59259-888-5_10
Neuronal dysfunction in aging and Alzheimer´s disease
Hatanpaa, K. J. (1999) · Tampere University Institutional Repository (Tampere University)
Inomata, K., Igarashi, H., Nasu, F., SUGAHARA, M., & Takashima, Y. (1992) · ACTA HISTOCHEMICA ET CYTOCHEMICA · doi:10.1267/ahc.25.131
Kurdakova, A. (2016) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5882
TRAFFICKING OF ALPHA SECRETASE ADAM10: NEW INSIGHTS INTO THE MOLECULAR MECHANISM OF MODULATION
Saraceno, C. (2012) · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · doi:10.13130/saraceno-claudia_phd2012-02-08
Effects of anle138b treatment on amyloid-β neurotoxicity
Thomas, C. (2020) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8233
Huang, Y. H., Jia, H., & Bao, W. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816475-4.00013-6
Hampel, H. J., Bürger, K., & Fuchsberger, T. (2006) · Springer eBooks · doi:10.1007/3-540-27386-7_41
Chan, D., Spires‐Jones, T. L., Provenzano, F. A., Glennon, E. B. C., & Duff, K. (2025) · Oxford University Press eBooks · doi:10.1093/med/9780190065324.003.0020
Khundakar, A. A., & Thomas, A. J. (2015) · Advances in Alzheimer's disease · doi:10.3233/978-1-61499-542-5-187 · Cited by 1
Bartesaghi, R., Chen, X., Johnstone, A. D., Das, U., & Mobley, W. C. (2025) · Springer eBooks · doi:10.1007/978-3-031-89307-0_19
Chandra, P. K., Selvam, M. K. P., Zulfiquar, T., Rutkai, I., Sikka, S. C., Braun, S. E., Rappaport, J., & Busija, D. W. (2025) · Cell Communication and Signaling · doi:10.1186/s12964-025-02464-w
Schilling, S., August, A., Meleux, M., Conradt, C., Tremmel, L. M., Teigler, S., Adam, V., Müller, U. C., Koo, E. H., Kins, S., et al. (2023) · Figshare · doi:10.6084/m9.figshare.23826982
Lin, Y., Lin, A., Cai, L., Huang, W., Yan, S., Wei, Y., Ruan, X., Fang, W., Dai, X., Cheng, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26603815
Lin, Y., Lin, A., Cai, L., Huang, W., Yan, S., Wei, Y., Ruan, X., Fang, W., Dai, X., Cheng, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26603812
Lin, Y., Lin, A., Cai, L., Huang, W., Yan, S., Wei, Y., Ruan, X., Fang, W., Dai, X., Cheng, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26603818
Lin, Y., Lin, A., Cai, L., Huang, W., Yan, S., Wei, Y., Ruan, X., Fang, W., Dai, X., Cheng, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26603821
Lin, Y., Lin, A., Cai, L., Huang, W., Yan, S., Wei, Y., Ruan, X., Fang, W., Dai, X., Cheng, J., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26603824
Melgosa-Ecenarro, L., Radulescu, C. I., Doostdar, N., Airey, J., Chaloner, F. A., Zabouri, N., Pedretti, G., Osso, F., Perez, L. G., Pilch, K. S., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-69866-3 · Cited by 4
Sepulveda-Diaz, J. E. (2013) · theses.fr (ABES) · doi:10.70675/56c42bcbz41dfz432bzbb78z77110b373285
Physiological and pathological roles of the amyloid precursor protein at the presynapse
Jordá-Siquier, T. (2021) · theses.fr (ABES) · doi:10.70675/3bff9a77z3935z4d28zb02bz5b454bcbc77e
Saitta, A., Basilotta, R., Lanza, M., Scuruchi, M., Casili, G., Giovani, P., Copani, A., Esposito, E., Oddo, S., & Caccamo, A. (2026) · Cells · doi:10.3390/cells15161487
Steigmeyer, A. D., Battison, A. S., Liebman, I. R., van Dyck, C. H., Slusher, B. S., Arnsten, A. F. T., Malaker, S. A., & Datta, D. (2026) · Acta Neuropathologica Communications · doi:10.1186/s40478-026-02442-4
Newman, S. F. (2009) · UKnowledge (University of Kentucky)
Metadata
- Authors
- Scheff, S. W., DeKosky, S. T., & Price, D. A.
- Affiliations
- University of Kentucky (US)
- Corresponding author
- Scheff, Stephen W.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 1990-01
- Volume
- 11
- Issue
- 1
- Pages
- 29-37
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2083752135
- Cited by
- 446
- References
- 41
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 14 · 2023: 19 · 2022: 16 · 2021: 14 · 2020: 19 · 2019: 14 · 2018: 15 · 2017: 12 · 2016: 17 · 2015: 21 · 2014: 13 · 2013: 16 · 2012: 16
- FWCI
- 9.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Kentucky
- National Institute on Aging (P50AG005144, AG-05144, P01AG005119, AG0 5119)
- 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 › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- Alzheimer's disease, synaptic density, synapse size, postsynaptic density, frontal cortex, Brodmann area 9, cortical layers, synaptic loss, postmortem interval, neuropathology
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Cell Count, Cerebral Cortex, Female, Humans, Male, Middle Aged, Nerve Degeneration, Synapses, In Vitro Techniques
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