Synapses are lost during aging in the primate prefrontal cortex
Open accessAbstract
An electron microscopic analysis has been carried out on the effects of age on the numerical density of both excitatory (asymmetric) and inhibitory (symmetric) synapses in the neuropil of layers 2/3 and of layer 5 in area 46 from the frontal cortex of behaviorally tested rhesus monkeys. There is no change in the lengths of synaptic junctions with age or in the percentage distribution of synapses relative to the postsynaptic spines and dendritic shafts. However, in layers 2/3 there is an overall loss of about 30% of synapses from 5 to 30 years of age, and both asymmetric and symmetric synapses are lost at the same rate. In layer 5 the situation is different; the overall loss of synapses is only 20% and this is almost entirely due to a loss of asymmetric synapses, since there is no significant loss of symmetric synapses from this layer with age. When the synapse data are correlated with the overall cognitive impairment shown by the monkeys, it is found that there is a strong correlation between the numerical density of asymmetric synapses in layers 2/3 and cognitive impairment, with a weaker correlation between symmetric synapse loss and cognitive impairment. In layer 5 on the other hand there is no correlation between synapse loss and cognitive impairment. However synapse loss is not the only factor causing cognitive impairment, since in previous studies of area 46 we have found that age-related alteration in myelin in this frontal area also significantly contributes to cognitive decline. The synapse loss is also considered in light of earlier studies, which show that the frequency of spontaneous excitatory synaptic responses is reduced with age in layers 2/3 neurons.
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?
Quantitative analyses of synapses in the neuropil have shown that most synapses on dendritic shafts are AS (~80%), with relatively few being SS (~20%).
“In fact, quantitative analyses of synapses in the neuropil have shown that most synapses on dendritic shafts are AS (∼80%), with relatively few being SS (∼20%) (Beaulieu et al., 1992; Peters et al., 2008; Hsu et al., 2017; Calì et al., 2018; Santuy et al., 2018b; Domínguez-Álvaro et al., 2019, 2021a,b; Yakoubi et al., 2019b; Montero-Crespo et al., 2020, 2021; Cano-Astorga et al., 2021, 2023;”
From Unambiguous identification of asymmetric and symmetric synapses using volume electron microscopy (2024) · cites this paper as Peters et al., 2008
Table 1 and the Results section on postsynaptic components give the percentage of each synapse type that contacts a shaft—not the percentage of shaft synapses that is each type. Combining the reported 87% asymmetric and 13% symmetric overall with the young layer 2/3 shaft-contact percentages (16.5% and 78.5%) gives approximately 58% asymmetric and 42% symmetric synapses on shafts, rather than the claimed 80% and 20%. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
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
The structure of the nervous system of the nematode <i>Caenorhabditis elegans</i>
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589 · see citing works
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 · see citing works
The unbiased estimation of number and sizes of arbitrary particles using the disector
Sterio, D. C. (1984) · Journal of Microscopy · doi:10.1111/j.1365-2818.1984.tb02501.x · Cited by 2,533 · see citing works
Fuster, J. M. (1997) · Cited by 2,095 · see citing works
(1991) · Medical Entomology and Zoology · Cited by 1,512 · see citing works
Self-citationThe Fine Structure of the Nervous System
Afifi, A. K. (1991) · Neurology · doi:10.1212/wnl.41.9.1535-b · Cited by 1,052 · see citing works
Colonnier, M. (1968) · Brain Research · doi:10.1016/0006-8993(68)90234-5 · Cited by 946 · see citing works
A cytoarchitectural study of the prefrontal area of the macaque monkey
Walker, A. E. (1940) · The Journal of Comparative Neurology · doi:10.1002/cne.900730106 · Cited by 803 · see citing works
The small pyramidal neuron of the rat cerebral cortex: The synapses upon dendritic spines
Peters, A., & Kaiserman-Abramof, I. R. (1969) · Zeitschrift f�r Zellforschung und Mikroskopische Anatomie · doi:10.1007/bf00344370 · Cited by 441 · see citing works
Self-citationTHE USE OF ANIMAL MODELS TO STUDY THE EFFECTS OF AGING ON COGNITION
Gallagher, M., & Rapp, P. R. (1997) · Annual Review of Psychology · doi:10.1146/annurev.psych.48.1.339 · Cited by 430 · see citing works
Quantitative synaptic alterations in the human neocortex during normal aging
Masliah, E., Mallory, M. E., Hansen, L. A., DeTeresa, R. M., & Terry, R. D. (1993) · Neurology · doi:10.1212/wnl.43.1_part_1.192 · Cited by 408 · see citing works
Neurobiological Bases of Age-Related Cognitive Decline in the Rhesus Monkey
Peters, A., Rosene, D. L., Moss, M. B., Kemper, T. L., Abraham, C. R., Tigges, J., & Albert, M. (1996) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-199608000-00001 · Cited by 344 · see citing works
Self-citationAge-related Dendritic and Spine Changes in Corticocortically Projecting Neurons in Macaque Monkeys
Duan, H. (2003) · Cerebral Cortex · doi:10.1093/cercor/13.9.950 · Cited by 317 · see citing works
Patterns of cognitive decline in aged rhesus monkeys
Herndon, J. G., Moss, M. B., Rosene, D. L., & Killiany, R. (1997) · Behavioural Brain Research · doi:10.1016/s0166-4328(96)02256-5 · Cited by 290 · see citing works
Delay-related activity of prefrontal neurons in rhesus monkeys performing delayed response
Kojima, S., & Goldman, P. S. (1982) · Brain Research · doi:10.1016/0006-8993(82)91145-3 · Cited by 277 · see citing works
Aging and the myelinated fibers in prefrontal cortex and corpus callosum of the monkey
Peters, A., & Sethares, C. (2001) · The Journal of Comparative Neurology · doi:10.1002/cne.10099 · Cited by 274 · see citing works
Self-citationFeature article: are neurons lost from the primate cerebral cortex during normal aging?
Peters, A. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.4.295 · Cited by 245 · see citing works
Self-citationThe density of synapses and neurones in the motor and visual areas of the cerebral cortex.
Cragg, B. G. (1967) · Europe PMC (PubMed Central) · Cited by 243 · see citing works
The effects of aging on area 46 of the frontal cortex of the rhesus monkey.
Peters, A., Leahu, D., Moss, M. B., & McNally, K. J. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.6.621 · Cited by 214 · see citing works
Self-citationPeters, A., & Palay, S. L. (1996) · Journal of Neurocytology · doi:10.1007/bf02284835 · Cited by 209 · see citing works
Self-citationEstimation of the number of synapses in the cerebral cortex: methodological considerations
DeFelipe, J. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.7.722 · Cited by 193 · see citing works
Executive system dysfunction in the aged monkey: Spatial and object reversal learning
Lai, Z. C., Moss, M. B., Killiany, R., Rosene, D. L., & Herndon, J. G. (1995) · Neurobiology of Aging · doi:10.1016/0197-4580(95)02014-4 · Cited by 178 · see citing works
The effects of aging on layer 1 in area 46 of prefrontal cortex in the rhesus monkey
Peters, A. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.8.671 · Cited by 167 · see citing works
Self-citationLiu, X., Erikson, C., & Brun, A. E. (1996) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000106867 · Cited by 152 · see citing works
Luebke, J. I., Chang, Y., Moore, T. L., & Rosene, D. L. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2004.01.035 · Cited by 142 · see citing works
Self-citationChang, Y. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh144 · Cited by 139 · see citing works
Impairment in abstraction and set shifting in aged Rhesus monkeys
Moore, T. L. (2002) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00054-4 · Cited by 137 · see citing works
Recognition memory span in rhesus monkeys of advanced age
Moss, M. B., Killiany, R., Lai, Z. C., Rosene, D. L., & Herndon, J. G. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(96)00211-4 · Cited by 117 · see citing works
Chapter 36 Structural changes in the normally aging cerebral cortex of primates
Peters, A. (2002) · Progress in brain research · doi:10.1016/s0079-6123(02)36038-2 · Cited by 114 · see citing works
Self-citationColonnier, M., & Beaulieu, C. (1985) · The Journal of Comparative Neurology · doi:10.1002/cne.902310205 · Cited by 114 · see citing works
Chen, K. S., Masliah, E., Mallory, M. E., & Gage, F. H. (1995) · Neuroscience · doi:10.1016/0306-4522(95)00099-5 · Cited by 111 · see citing works
Zhan, S., Beyreuther, K. T., & Schmitt, H. P. (1993) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000107299 · Cited by 110 · see citing works
Kapsimali, M., Vidal, B., González, A., Dufour, S., & Vernier, P. (2000) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(20000410)419:3 · Cited by 91 · see citing works
Self-citationScheff, S. W., PRICE, D. A., & Sparks, D. L. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00222-6 · Cited by 82 · see citing works
Gibson, P. H. (1983) · Acta Neuropathologica · doi:10.1007/bf00684929 · Cited by 79 · see citing works
Age-related changes in prefrontal cortex of Macaca mulatta: Synaptic density
Uemura, E. (1980) · Experimental Neurology · doi:10.1016/0014-4886(80)90151-x · Cited by 78 · see citing works
The Effects of Aging on Layer 1 of Primary Visual Cortex in the Rhesus Monkey
Peters, A. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.2.93 · Cited by 77 · see citing works
Self-citationWong, T. P., Marchese, G., Casu, M. A., Ribeiro‐da‐Silva, A., Cuello, A. C., & Koninck, Y. D. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-22-08596.2000 · Cited by 75 · see citing works
Adams, I. (1987) · Neurobiology of Aging · doi:10.1016/0197-4580(87)90003-0 · Cited by 71 · see citing works
Hof, P. R., Nimchinsky, E. A., Young, W. G., & Morrison, J. H. (2000) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(20000424)420:1 · Cited by 71 · see citing works
Preservation of Prefrontal Cortical Volume in Behaviorally Characterized Aged Macaque Monkeys
O'Donnell, K. A., Rapp, P. R., & Hof, P. R. (1999) · Experimental Neurology · doi:10.1006/exnr.1999.7192 · Cited by 68 · see citing works
Calverley, R. K. S., Bedi, K. S., & Jones, D. G. (1988) · Journal of Neuroscience Methods · doi:10.1016/0165-0270(88)90003-9 · Cited by 63 · see citing works
The Effects of Age on the Cells in Layer 1 of Primate Cerebral Cortex
Peters, A. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.1.27 · Cited by 57 · see citing works
Self-citationSynaptophysin Immunoreactivity Is Stable 36 h Postmortem
Liu, X., & Brun, A. E. (1995) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000106949 · Cited by 34 · see citing works
Age-Related Cognitive Decline in the Rhesus Monkey
Moss, M. B., Killiany, R., & Herndon, J. G. (1999) · Cerebral cortex · doi:10.1007/978-1-4615-4885-0_2 · Cited by 31 · see citing works
Axon terminals on betz cell somata of area 4 in rhesus monkey throughout adulthood
Tigges, J., Herndon, J. G., & Peters, A. (1992) · The Anatomical Record · doi:10.1002/ar.1092320216 · Cited by 29 · see citing works
Self-citationRecognition memory function in early senescent rhesus monkeys
Killiany, R., Moss, M. B., Rosene, D. L., & Herndon, J. G. (2000) · Psychobiology · doi:10.3758/bf03330628 · Cited by 27 · see citing works
Flagged first, then by citations
2 of the 50 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- [27]27. Moss MB, Moore TL, Schettler SP, Killiany R, Rosene DL. Successful v unsuccessful aging in the rhesus monkey. In: Riddle DR, editor. In: Brain aging. Models, methods and mechanisms. Baton Rouge: CRC Press; 2007. pp. 21–38. [[PubMed](https://pubmed.ncbi.nlm.nih.gov/21204342/)] [[Google Scholar](https://scholar.google.com/scholar_lookup?title=In:%20Brain%20aging.%20Models,%20methods%20and%20mechanisms&author=MB%20Moss&author=TL%20Moore&author=SP%20Schettler&author=R%20Killiany&author=DL%20Rosene&publication_year=2007&)]
- [41]41. Rosene DL, Nicholson TJ. Some neurotransmitter receptor changes in the hippocampus and cerebral cortex in normal aging. In: Peters A, Morrison JH, editors. Cerebral cortex Vol. 14. Neurodegenerative and age-related changes in cerebral cortex. New York: Kluwer Academic/Plenum Publishers; 1999. pp. 111–128. [[Google Scholar](https://scholar.google.com/scholar_lookup?title=Cerebral%20cortex%20Vol.%2014.%20Neurodegenerative%20and%20age-related%20changes%20in%20cerebral%20cortex&author=DL%20Rosene&author=TJ%20Nicholson&publication_year=1999&)]
Cited by
Sorted by citations
The ageing cortical synapse: hallmarks and implications for cognitive decline
Morrison, J. H., & Baxter, M. G. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3200 · Cited by 965 · see citing works
Alzheimer's disease as homeostatic responses to age-related myelin breakdown
Bartzokis, G. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.08.007 · Cited by 546 · see citing works
Arnsten, A. F. T., Wang, M. J., & Paspalas, C. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.038 · Cited by 538 · see citing works
Dumitriu, D., Hao, J., Hara, Y., Kaufmann, J., Janssen, W. G. M., Lou, W., Rapp, P. R., & Morrison, J. H. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.6410-09.2010 · Cited by 439 · see citing works
Vulnerable Neural Systems and the Borderland of Brain Aging and Neurodegeneration
Jagust, W. J. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.002 · Cited by 321 · see citing works
MicroRNA, mRNA, and protein expression link development and aging in human and macaque brain
Somel, M., Guo, S., Fu, N., Yan, Z., Hu, H. Y., Xu, Y., Yuan, Y., Ning, Z., Hu, Y., Menzel, C., et al. (2010) · Genome Research · doi:10.1101/gr.106849.110 · Cited by 285 · see citing works
Berchtold, N. C., Coleman, P. D., Cribbs, D. H., Rogers, J., Gillen, D. L., & Cotman, C. W. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.024 · Cited by 298 · see citing works
Marsh, R., Gerber, A. J., & Peterson, B. S. (2008) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/chi.0b013e318185e703 · Cited by 267 · see citing works
Brain aging mechanisms with mechanical manifestations
Blinkouskaya, Y., Caçoilo, A., Gollamudi, T., Jalalian, S., & Weickenmeier, J. (2021) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2021.111575 · Cited by 274 · see citing works
García‐Cabezas, M. Á., John, Y. J., Barbas, H., & Zikopoulos, B. (2016) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2016.00107 · Cited by 227 · see citing works
Microglia Gone Rogue: Impacts on Psychiatric Disorders across the Lifespan
Tay, T. L., Béchade, C., D’Andrea, I., St‐Pierre, M., Henry, M. S., Roumier, A., & Tremblay, M. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00421 · Cited by 211 · see citing works
Gender differences in human cortical synaptic density
Alonso‐Nanclares, L., González‐Soriano, J., Rodríguez, J., & DeFelipe, J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803652105 · Cited by 210 · see citing works
A brainwide atlas of synapses across the mouse life span
Cizeron, M., Qiu, Z., Koniaris, B., Gokhale, R., Komiyama, N. H., Fransén, E. A., & Grant, S. G. N. (2020) · Science · doi:10.1126/science.aba3163 · Cited by 207 · see citing works
Xia, X., Wang, Y., Huang, Y., Zhang, H., Lu, H., & Zheng, J. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101694 · Cited by 206 · see citing works
Morphological changes in nerve cells during normal aging
Pannese, E. (2011) · Brain Structure and Function · doi:10.1007/s00429-011-0308-y · Cited by 205 · see citing works
Molecular aspects of age-related cognitive decline: the role of GABA signaling
McQuail, J. A., Frazier, C. J., & Bizon, J. L. (2015) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2015.05.002 · Cited by 201 · see citing works
Sex Hormones and Cognition: Neuroendocrine Influences on Memory and Learning
Hamson, D. K., Roes, M., & Galea, L. A. M. (2016) · Comprehensive physiology · doi:10.1002/cphy.c150031 · Cited by 205 · see citing works
Impact of aging brain circuits on cognition
Samson, R. D., & Barnes, C. A. (2013) · European Journal of Neuroscience · doi:10.1111/ejn.12183 · Cited by 184 · see citing works
Altered synaptic dynamics during normal brain aging.
Mostany, R., Anstey, J. E., Crump, K. L., Maco, B., Knott, G., & Portera-Cailliau, C. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.4825-12.2013 · Cited by 179 · see citing works
The space where aging acts: focus on the GABA ergic synapse
Różycka, A., & Liguz‐Lecznar, M. (2017) · Aging Cell · doi:10.1111/acel.12605 · Cited by 173 · see citing works
Ferrer, I. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.03.005 · Cited by 174 · see citing works
Targeting synapse function and loss for treatment of neurodegenerative diseases
Dejanovic, B., Sheng, M., & Hanson, J. E. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00823-1 · Cited by 168 · see citing works
Roe, J. M., Dídac Vidal-piñeiro, A., Sørensen, Ø., Brandmaier, A. M., Düzel, S., Gonzalez, H. A., Kievit, R., Knights, E., Kühn, S., Lindenberger, U., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21057-y · Cited by 150 · see citing works
Aging, Synaptic Dysfunction, and Insulin-Like Growth Factor (IGF)-1
Deák, F., & Sonntag, W. E. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/gls118 · Cited by 147 · see citing works
Area-Specific Features of Pyramidal Neurons—a Comparative Study in Mouse and Rhesus Monkey
Gilman, J. P., Medalla, M., & Luebke, J. I. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw062 · Cited by 140 · see citing works
Self-citationKohama, S. G., Rosene, D. L., & Sherman, L. S. (2011) · AGE · doi:10.1007/s11357-011-9357-7 · Cited by 139 · see citing works
Insulin-like growth factor-1 in CNS and cerebrovascular aging
Sonntag, W. E., Deák, F., Ashpole, N. M., Tóth, P., Csiszár, A., Freeman, W. M., & Ungvari, Z. I. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00027 · Cited by 136 · see citing works
Shimabukuro, M. K., Langhi, L. G. P., Cordeiro, I., Brito, J. M., Batista, C. M. D. C., Mattson, M. P., & de Mello Coelho, V. (2016) · Scientific Reports · doi:10.1038/srep23795 · Cited by 136 · see citing works
Importance of the nicotinic acetylcholine receptor system in the prefrontal cortex
Wallace, T. L., & Bertrand, D. (2013) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.04.001 · Cited by 133 · see citing works
A review of the structural alterations in the cerebral hemispheres of the aging rhesus monkey
Peters, A., & Kemper, T. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.11.015 · Cited by 135 · see citing works
Self-citationCommunication breakdown: The impact of ageing on synapse structure
Petralia, R. S., Mattson, M. P., & Yao, P. J. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.01.003 · Cited by 133 · see citing works
Elsworth, J. D., Jentsch, J. D., VandeVoort, C. A., Roth, R. H., Redmond, D. E., & Léránth, C. (2013) · NeuroToxicology · doi:10.1016/j.neuro.2013.01.001 · Cited by 132 · see citing works
Neuronal and morphological bases of cognitive decline in aged rhesus monkeys
Hara, Y., Rapp, P. R., & Morrison, J. H. (2011) · AGE · doi:10.1007/s11357-011-9278-5 · Cited by 130 · see citing works
Aging of the cerebral cortex differs between humans and chimpanzees
Sherwood, C. C., Gordon, A. D., Allen, J. S., Phillips, K. A., ERWIN, J. M., Hof, P. R., & Hopkins, W. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016709108 · Cited by 122 · see citing works
Gan, K. J., & Südhof, T. C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902672116 · Cited by 114 · see citing works
Fiumelli, H., Briner, A., Puskarjov, M., Blaesse, P., Belem, B. J., Dayer, A. G., Kaila, K., Martin, J., & Vutskits, L. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs027 · Cited by 115 · see citing works
The axon initial segment in nervous system disease and injury
Buffington, S. A., & Rasband, M. N. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07875.x · Cited by 108 · see citing works
Aerobic glycolysis in the primate brain: Reconsidering the implications for growth and maintenance
Bauernfeind, A. L., Barks, S. K., Duka, T., Grossman, L. I., Hof, P. R., & Sherwood, C. C. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0662-z · Cited by 105 · see citing works
Effects of normal aging on prefrontal area 46 in the rhesus monkey
Luebke, J. I., Barbas, H., & Peters, A. (2009) · Brain Research Reviews · doi:10.1016/j.brainresrev.2009.12.002 · Cited by 98 · see citing works
Self-citationThe timing of cognitive plasticity in physiological aging: a tDCS study of naming
Fertonani, A., Brambilla, M., Cotelli, M., & Miniussi, C. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00131 · Cited by 93 · see citing works
Boros, B. D., Greathouse, K. M., Gearing, M., & Herskowitz, J. H. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.09.003 · Cited by 90 · see citing works
Effects of Aging on Cortical Neural Dynamics and Local Sleep Homeostasis in Mice
McKillop, L. E., Fisher, S. P., Cui, N., Peirson, S. N., Foster, F., Wafford, K. A., & Vyazovskiy, V. V. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2513-17.2018 · Cited by 81 · see citing works
Age-related cerebral atrophy in nonhuman primates predicts cognitive impairments
Picq, J., Aujard, F., Volk, A., & Dhénain, M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.09.009 · Cited by 82 · see citing works
Between destiny and disease: Genetics and molecular pathways of human central nervous system aging
Glorioso, C. A., & Sibille, E. L. (2010) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2010.11.006 · Cited by 82 · see citing works
Estrogens and memory in physiological and neuropathological conditions
Pompili, A., Arnone, B., & Gasbarri, A. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2012.01.007 · Cited by 81 · see citing works
McQuail, J. A., Beas, B. S., Kelly, K. B., Simpson, K. L., Frazier, C. J., Setlow, B., & Bizon, J. L. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.2332-16.2016 · Cited by 80 · see citing works
Cholesterol Metabolism in Aging and Age-Related Disorders
Saher, G. (2023) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-091922-034237 · Cited by 81 · see citing works
Naumova, O. Y., Lee, M., Rychkov, S. Y., Vlasova, N. V., & Grigorenko, E. L. (2012) · Child Development · doi:10.1111/cdev.12014 · Cited by 77 · see citing works
Rousselet, G. A., Husk, J. S., Pernet, C. R., Gaspar, C., Bennett, P., & Sekuler, A. B. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-114 · Cited by 78 · see citing works
Datta, D., Leslie, S. N., Morozov, Y. M., Duque, A., Rakic, P., van Dyck, C. H., Nairn, A. C., & Arnsten, A. F. T. (2020) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1683-1 · Cited by 76 · see citing works
Hagenauer, M. H., Schulmann, A., Li, J. Z., Vawter, M. P., Walsh, D. M. A., Thompson, R. C., Turner, C. A., Bunney, W. E., Myers, R., Barchas, J. D., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0200003 · Cited by 76 · see citing works
Medalla, M., & Luebke, J. I. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3426-14.2015 · Cited by 71 · see citing works
Self-citationLi, L.-B., Lei, H., Arey, R. N., Li, P., Liu, J., Murphy, C. T., Xu, X. Z. S., & Shen, K. (2016) · Current Biology · doi:10.1016/j.cub.2015.12.068 · Cited by 74 · see citing works
Nicaise, A. M., Willis, C. M., Crocker, S. J., & Pluchino, S. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00247 · Cited by 73 · see citing works
Interactive effects of age and estrogen on cortical neurons: implications for cognitive aging
Bailey, M. E., Wang, A. C., Hao, J., Janssen, W. G. M., Hara, Y., Dumitriu, D., Hof, P. R., & Morrison, J. H. (2011) · Neuroscience · doi:10.1016/j.neuroscience.2011.05.045 · Cited by 72 · see citing works
Homeostatic responses by surviving cortical pyramidal cells in neurodegenerative tauopathy
Crimins, J. L., Rocher, A. B., Peters, A., Shultz, P. L., Lewis, J. M., & Luebke, J. I. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0877-0 · Cited by 71 · see citing works
Self-citationYoung, M. E., Ohm, D. T., Dumitriu, D., Rapp, P. R., & Morrison, J. H. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.05.008 · Cited by 67 · see citing works
Non human primate models for Alzheimer’s disease-related research and drug discovery
Dam, D. V., & Deyn, P. P. D. (2016) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2017.1271320 · Cited by 68 · see citing works
Hsu, A., Luebke, J. I., & Medalla, M. (2017) · Journal of Comparative Neurology · doi:10.1002/cne.24196 · Cited by 68 · see citing works
Self-citationCalì, C., Wawrzyniak, M., Becker, C., Maco, B., Cantoni, M., Jorstad, A., Nigro, B., Grillo, F. W., Paola, V. D., Fua, P., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198131 · Cited by 63 · see citing works
Age-Related Changes to Layer 3 Pyramidal Cells in the Rhesus Monkey Visual Cortex
Luebke, J. I., Medalla, M., Amatrudo, J. M., Weaver, C. M., Crimins, J. L., Hunt, B. A. E., Hof, P. R., & Peters, A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht336 · Cited by 68 · see citing works
Self-citationGray, D. T., & Barnes, C. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902279116 · Cited by 63 · see citing works
PKC activation during training restores mushroom spine synapses and memory in the aged rat
Hongpaisan, J., Xu, C., Sen, A., Nelson, T. J., & Alkon, D. L. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2013.03.012 · Cited by 63 · see citing works
The Impact of MicroRNAs on Brain Aging and Neurodegeneration
Persengiev, S. P., Kondova, I. I., & Bontrop, R. E. (2012) · Current Gerontology and Geriatrics Research · doi:10.1155/2012/359369 · Cited by 61 · see citing works
Yang, L.-M., Zhang, J., Zheng, K., Shen, H., & Chen, X.-C. (2014) · The journals of gerontology. Series A, Biological sciences and medical sciences · doi:10.1093/gerona/glt091 · Cited by 60 · see citing works
Why is delirium more frequent in the elderly?
Bugiani, O. (2021) · Neurological Sciences · doi:10.1007/s10072-021-05339-3 · Cited by 62 · see citing works
Decreased glutamic acid decarboxylase mRNA expression in prefrontal cortex in Parkinson's disease
Lanoue, A. C., Dumitriu, A., Myers, R. H., & Soghomonian, J. (2010) · Experimental Neurology · doi:10.1016/j.expneurol.2010.09.001 · Cited by 58 · see citing works
Morozov, Y. M., Datta, D., Paspalas, C. D., & Arnsten, A. F. T. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.12.001 · Cited by 57 · see citing works
Orr, B. O., Hauswirth, A. G., Celona, B., Fetter, R. D., Zunino, G., Kvon, E. Z., Zhu, Y., Pennacchio, L. A., Black, B. L., & Davis, G. W. (2020) · Neuron · doi:10.1016/j.neuron.2020.04.009 · Cited by 57 · see citing works
Bories, C., Husson, Z., Guitton, M. J., & Koninck, Y. D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3258-12.2013 · Cited by 53 · see citing works
Prefrontal cortical GABAergic signaling and impaired behavioral flexibility in aged F344 rats
Beas, B. S., McQuail, J. A., Bañuelos, C., Setlow, B., & Bizon, J. L. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.02.014 · Cited by 56 · see citing works
Medalla, M., Gilman, J. P., Wang, J., & Luebke, J. I. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3757-16.2017 · Cited by 54 · see citing works
Self-citationSadoun, A., Rosito, M., Fonta, C., & Girard, P. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.10.003 · Cited by 52 · see citing works
Age-related decline in cognitive flexibility in female chimpanzees
Agnès Lacreuse, A., Parr, L. A., Chennareddi, L. S., & Herndon, J. G. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.08.018 · Cited by 54 · see citing works
Anderson, R. M., Birnie, A. K., Koblesky, N. K., Romig‐Martin, S. A., & Radley, J. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1385-14.2014 · Cited by 51 · see citing works
Cramer, P. E., Gentzel, R. C., Tanis, K. Q., Vardigan, J. D., Wang, Y., Connolly, B., Manfre, P., Lodge, K. E., Renger, J. J., Zerbinatti, C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.12.011 · Cited by 51 · see citing works
Elsworth, J. D., Jentsch, J. D., Groman, S. M., Roth, R. H., Redmond, E. D., & Leranth, C. (2015) · Journal of Comparative Neurology · doi:10.1002/cne.23735 · Cited by 51 · see citing works
Intrinsic Bioenergetic Properties and Stress Sensitivity of Dopaminergic Synaptosomes
Choi, S. W., Gerencser, A. A., Lee, D. W., Rajagopalan, S., Nicholls, D. G., Andersen, J. K., & Brand, M. D. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5817-10.2011 · Cited by 51 · see citing works
Yakoubi, R., Rollenhagen, A., von Lehe, M., Miller, D., Walkenfort, B., Hasenberg, M., Sätzler, K., & Lübke, J. H. R. (2019) · eLife · doi:10.7554/elife.48373 · Cited by 53 · see citing works
Hara, Y., Yuk, F., Puri, R., Janssen, W. G. M., Rapp, P. R., & Morrison, J. H. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3480-13.2016 · Cited by 50 · see citing works
Three-dimensional synaptic Organization of Layer III of the human temporal neocortex
Cano-Astorga, N., DeFelipe, J., & Alonso-Nanclares, L. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab120 · Cited by 49 · see citing works
Prefrontal cortex and cognitive aging in macaque monkeys
Upright, N. A., & Baxter, M. G. (2021) · American Journal of Primatology · doi:10.1002/ajp.23250 · Cited by 44 · see citing works
Morphological and molecular changes in aging rat prelimbic prefrontal cortical synapses
Bloss, E. B., Puri, R., Yuk, F., Punsoni, M., Hara, Y., Janssen, W. G. M., McEwen, B. S., & Morrison, J. H. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.05.014 · Cited by 48 · see citing works
Mechanisms of astrocyte aging in reactivity and disease
Gildea, H. K., & Liddelow, S. A. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00810-7 · Cited by 45 · see citing works
French, L., Ma, T., Oh, H., Tseng, G. C., & Sibille, E. L. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00162 · Cited by 45 · see citing works
Comparative neuropathology in aging primates: A perspective
Freire‐Cobo, C., Edler, M. K., Varghese, M., Munger, E. L., Laffey, J., Raia, S., In, S. S., Wicinski, B. A., Medalla, M., Perez, S. E., et al. (2021) · American Journal of Primatology · doi:10.1002/ajp.23299 · Cited by 45 · see citing works
Self-citationLi, H., & Xin, X. (2013) · Chemosphere · doi:10.1016/j.chemosphere.2013.02.061 · Cited by 44 · see citing works
Conserved regulators of cognitive aging: From worms to humans
Arey, R. N., & Murphy, C. T. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.06.035 · Cited by 40 · see citing works
Primate Neuronal Connections are Sparse as Compared to Mouse
Wildenberg, G. A., Rosen, M. C., Lundell, J., Paukner, D., Freedman, D. J., & Kasthuri, N. (2020) · Cell Reports · doi:10.1016/j.celrep.2021.109709 · Cited by 46 · see citing works
Dönertaş, H. M., İzgi, H., Kamacıoğlu, A., He, Z., Khaitovich, P., & Somel, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-05927-4 · Cited by 41 · see citing works
Elsworth, J. D., Morrow, B. A., Hajszán, T., Léránth, C., & Roth, R. H. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.96 · Cited by 40 · see citing works
Motley, S. E., Grossman, Y. S., Janssen, W. G. M., Baxter, M. G., Rapp, P. R., Dumitriu, D., & Morrison, J. H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1234-18.2018 · Cited by 40 · see citing works
Unno, K., Sugiura, M., Ogawa, K., Takabayashi, F., Toda, M., Sakuma, M., Maeda, K.-I., Fujitani, K., Miyazaki, H., Yamamoto, H., et al. (2011) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.34.311 · Cited by 39 · see citing works
Zhang, Z., Yang, B., Huang, J., Li, W., Yi, P., Yi, M., & Peng, W. (2021) · Pharmaceutical Biology · doi:10.1080/13880209.2021.1893347 · Cited by 37 · see citing works
Modulatory effects of inhibition on persistent activity in a cortical microcircuit model
Konstantoudaki, X., Papoutsi, A., Chalkiadaki, K., Poirazi, P., & Sidiropoulou, K. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00007 · Cited by 34 · see citing works
Bisaz, R., Boadas‐Vaello, P., Genoux, D., & Sandi, C. (2013) · Learning & Memory · doi:10.1101/lm.030064.112 · Cited by 36 · see citing works
Wirak, G. S., Florman, J., Alkema, M. J., Connor, C. W., & Gabel, C. V. (2022) · eLife · doi:10.7554/elife.72135 · Cited by 34 · see citing works
Therapeutic potential of systemic brain rejuvenation strategies for neurodegenerative disease
Horowitz, A. M., & Villeda, S. (2017) · F1000Research · doi:10.12688/f1000research.11437.1 · Cited by 32 · see citing works
Popescu, I. R., Le, K. Q., Ducote, A. L., Li, J. E., Leland, A. E., & Mostany, R. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.10.007 · Cited by 32 · see citing works
Che, H., Sun, L.-H., Guo, F., Niu, H.-F., Su, X.-L., Bao, Y.-N., Fu, Z. D., Liu, H.-L., Hou, X., Yang, B.-F., et al. (2014) · Cellular Physiology and Biochemistry · doi:10.1159/000356646 · Cited by 35 · see citing works
- Authors
- Peters, A., Sethares, C., & Luebke, J. I.
- Affiliations
- Boston University (US)
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 152
- Issue
- 4
- Pages
- 970-981
- ISSN
- 0306-4522 (ISSN-L)
- PMC
- PMC2441531
- OpenAlex
- W2021005581
- Cited by
- 268
- References
- 50
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 16 · 2023: 23 · 2022: 10 · 2021: 20 · 2020: 14 · 2019: 13 · 2018: 17 · 2017: 11 · 2016: 17 · 2015: 8 · 2014: 13 · 2013: 22 · 2012: 21
- FWCI
- 2.26
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG025062, P01AG000001, P01-AG-00001)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- synaptic loss, aging, prefrontal cortex, rhesus monkeys, area 46, asymmetric synapses, symmetric synapses, cognitive impairment, layer 2/3, layer 5, myelin, postsynaptic spines
- MeSH terms
- Age Factors, Aging, Animals, Behavior, Animal, Female, Macaca mulatta, Male, Neurons, Synapses, Prefrontal Cortex, Microscopy, Electron, Transmission
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