The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Evidence for Reduced Experience-Dependent Dendritic Spine Plasticity in the Aging Prefrontal Cortex
Open accessAbstract
Cognitive functions that require the prefrontal cortex are highly sensitive to aging in humans, nonhuman primates, and rodents, although the neurobiological correlates of this vulnerability remain largely unknown. It has been proposed that dendritic spines represent the primary site of structural plasticity in the adult brain, and recent data have supported the hypothesis that aging is associated with alterations of dendritic spine morphology and plasticity in prefrontal cortex. However, no study to date has directly examined whether aging alters the capacity for experience-dependent spine plasticity in aging prefrontal neurons. To address this possibility, we used young, middle-aged, and aged rats in a behavioral stress paradigm known to produce spine remodeling in prefrontal cortical neurons. In young rats, stress resulted in dendritic spine loss and altered patterns of spine morphology; in contrast, spines from middle-aged and aged animals were remarkably stable and did not show evidence of remodeling. The loss of stress-induced spine plasticity observed in aging rats occurred alongside robust age-related reductions in spine density and shifts in remaining spine morphology. Together, the data presented here provide the first evidence that experience-dependent spine plasticity is altered by aging in prefrontal cortex, and support a model in which dendritic spines become progressively less plastic in the aging brain.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“As dendritic spines appear to lose their resilience in very old brains (Bloss et al., 2011)”
From Guanfacine’s mechanism of action in treating prefrontal cortical disorders: Successful translation across species (2020) · cites this paper as Bloss et al., 2011
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In young adult rodents, layer II/III PFC pyramidal cell dendrites can regrow with sufficient time spent under safe conditions, but this plasticity is lost with advanced age76.”
From Stress weakens prefrontal networks: molecular insults to higher cognition (2015) · cites this paper as [76]
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.
Citations
Cites
The Rat Brain in Stereotaxic Coordinates
Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585
Effects of stress throughout the lifespan on the brain, behaviour and cognition
Lupien, S. J., McEwen, B. S., Gunnar, M. R., & Heim, C. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2639 · Cited by 6,256
Self-citationAllostatic load biomarkers of chronic stress and impact on health and cognition
Juster, R.-P., McEwen, B. S., & Lupien, S. J. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.10.002 · Cited by 2,565
Self-citationStructural basis of long-term potentiation in single dendritic spines
Matsuzaki, M., Honkura, N., Ellis-Davies, G. C. R., & Kasai, H. (2004) · Nature · doi:10.1038/nature02617 · Cited by 2,483
The Neuroendocrinology of Stress and Aging: The Glucocorticoid Cascade Hypothesis
Sapolsky, R. M., Krey, L. C., & McEwen, B. S. (1986) · Science of Aging Knowledge Environment · doi:10.1126/sageke.2002.38.cp21 · Cited by 2,343
Self-citationThe prefontral cortex and cognitive control
Miller, E. K. (2000) · Nature Reviews Neuroscience · doi:10.1038/35036228 · Cited by 2,016
Experience-dependent structural synaptic plasticity in the mammalian brain
Holtmaat, A., & Svoboda, K. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2699 · Cited by 1,934
Long-term in vivo imaging of experience-dependent synaptic plasticity in adult cortex
Trachtenberg, J. T., Chen, B. E., Knott, G. W., Feng, G., Sanes, J. R., Welker, E., & Svoboda, K. (2002) · Nature · doi:10.1038/nature01273 · Cited by 1,927
When does age-related cognitive decline begin?
Salthouse, T. A. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.023 · Cited by 1,848
Neural plasticity in the ageing brain
Burke, S. N., & Barnes, C. A. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1809 · Cited by 1,709
Research works printed but not linked: 1
- 10.1210/edrv-7-3-284 · DOI · Paper page
Cited by
Sorted by citations
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411
The Brain on Stress: Vulnerability and Plasticity of the Prefrontal Cortex over the Life Course
McEwen, B. S., & Morrison, J. H. (2013) · Neuron · doi:10.1016/j.neuron.2013.06.028 · Cited by 1,079
Self-citationThe 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
Self-citationEfficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve
Barulli, D., & Stern, Y. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.012 · Cited by 1,006
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.02.004 · Cited by 799
Stress weakens prefrontal networks: molecular insults to higher cognition
Arnsten, A. F. T. (2015) · Nature Neuroscience · doi:10.1038/nn.4087 · Cited by 752
Arnsten, A. F. T., Wang, M. J., & Paspalas, C. D. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.038 · Cited by 538
Dendritic Spines in Depression: What We Learned from Animal Models
Qiao, H., Li, M.-X., Xu, C. S., Chen, H.-B., An, S.-C., & Ma, X. (2016) · Neural Plasticity · doi:10.1155/2016/8056370 · Cited by 463
Structural brain plasticity in adult learning and development
Lövdén, M., Wenger, E., Mårtensson, J., Lindenberger, U., & Bäckman, L. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.014 · Cited by 438
Glucocorticoids are critical regulators of dendritic spine development and plasticity in vivo
Liston, C., & Gan, W.-B. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110444108 · Cited by 352
Arnsten, A. F. T., Raskind, M. A., Taylor, F. B., & Connor, D. F. (2015) · Neurobiology of Stress · doi:10.1016/j.ynstr.2014.10.002 · Cited by 381
Radley, J., Morilak, D., Viau, V., & Campeau, S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.06.018 · Cited by 339
Cellular senescence in brain aging
Sikora, E., Bielak-Zmijewska, A., Dudkowska, M., Krzystyniak, A., Mosieniak, G., Wesierska, M., & Wlodarczyk, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.646924 · Cited by 304
“In cortical regions, the least stable spines (non-perforated population) have been shown to be most vulnerable to agingassociated decrease whereas the number of stable mushroom spines remained unaltered (Bloss et al., 2011).”
BackgroundDendritic spine changes associated with normal aging
Dickstein, D. L., Weaver, C. M., Luebke, J. I., & Hof, P. R. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2012.09.077 · Cited by 289
Stress, anxiety, and dendritic spines: What are the connections?
Leuner, B., & Shors, T. J. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2012.04.021 · Cited by 284
When pain gets stuck: the evolution of pain chronification and treatment resistance
Borsook, D., Youssef, A. M., Simons, L., Elman, I., & Eccleston, C. (2018) · Pain · doi:10.1097/j.pain.0000000000001401 · Cited by 281
Spine synapse remodeling in the pathophysiology and treatment of depression
Duman, C. H., & Duman, R. S. (2015) · Neuroscience Letters · doi:10.1016/j.neulet.2015.01.022 · Cited by 257
Dendritic spines provide cognitive resilience against Alzheimer's disease
Boros, B. D., Greathouse, K. M., Gentry, E. G., Curtis, K. A., Birchall, E. L., Gearing, M., & Herskowitz, J. H. (2017) · Annals of Neurology · doi:10.1002/ana.25049 · Cited by 198
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 199
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
Small molecule cognitive enhancer reverses age-related memory decline in mice
Krukowski, K., Nolan, A., Frias, E. S., Boone, M., Ureta, G., Grue, K. A., Paladini, M. S., Elizarraras, E., Delgado, L. M., Bernales, S., et al. (2020) · eLife · doi:10.7554/elife.62048 · Cited by 167
The ever‐changing brain: Cellular and molecular mechanisms for the effects of stressful experiences
McEwen, B. S. (2012) · Developmental Neurobiology · doi:10.1002/dneu.20968 · Cited by 165
Self-citationChronic Stress Weakens Connectivity in the Prefrontal Cortex: Architectural and Molecular Changes.
Woo, E., Sansing, L. H., Arnsten, A. F. T., & Datta, D. (2021) · Chronic Stress · doi:10.1177/24705470211029254 · Cited by 159
Bottaccioli, A. G., Bottaccioli, F., & Minelli, A. (2018) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13728 · Cited by 173
Remodeling of axo-spinous synapses in the pathophysiology and treatment of depression
Licznerski, P., & Duman, R. S. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2012.09.057 · Cited by 157
Are BDNF and glucocorticoid activities calibrated?
Jeanneteau, F. D., & Chao, M. V. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.09.017 · Cited by 150
Bianchi, S., Stimpson, C. D., Bauernfeind, A. L., Schapiro, S. J., Baze, W. B., McArthur, M. J., Bronson, E., Hopkins, W. D., Semendeferi, K., Jacobs, B., et al. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs239 · Cited by 144
Bianchi, S., Stimpson, C. D., Duka, T., Larsen, M. D., Janssen, W. G. M., Collins, Z., Bauernfeind, A. L., Schapiro, S. J., Baze, W. B., McArthur, M. J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301224110 · Cited by 136
Self-citationMiller, M. L., Chadwick, B., Dickstein, D. L., Purushothaman, I., Egervari, G., Rahman, T., Tessereau, C., Hof, P. R., Roussos, P., Shen, L., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0243-x · Cited by 134
Astrocyte, a Promising Target for Mood Disorder Interventions
Zhou, X., Xiao, Q., Xie, L., Yang, F., Wang, L., & Tu, J. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00136 · Cited by 120
Communication 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 138
Increased axonal bouton dynamics in the aging mouse cortex
Grillo, F. W., Song, S., Ruivo, L. M. T.-G., Huang, L., Gao, G., Knott, G. W., Maco, B., Ferretti, V., Thompson, D., Little, G. E., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1218731110 · Cited by 130
Physician Distress and Burnout: The Neurobiological Perspective
Arnsten, A. F. T., & Shanafelt, T. D. (2021) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2020.12.027 · Cited by 152
Radley, J. J., Anderson, R. M., Hamilton, B. A., Alcock, J. A., & Romig‐Martin, S. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0287-13.2013 · Cited by 127
Cranial Irradiation Alters Dendritic Spine Density and Morphology in the Hippocampus
Chakraborti, A., Allen, A. R., Allen, B. D., Rosi, S., & Fike, J. R. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040844 · Cited by 126
Lesuis, S. L., Hoeijmakers, L., Kőrösi, A., de Rooij, S. R., Swaab, D. F., Kessels, H. W. H. G., Lucassen, P. J., & Krugers, H. J. (2018) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0422-7 · Cited by 128
Pereira, A. C., Lambert, H. K., Grossman, Y. S., Dumitriu, D., Waldman, R., Jannetty, S. K., Calakos, K., Janssen, W. G., McEwen, B. S., & Morrison, J. H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421285111 · Cited by 116
Self-citationPomares, F. B., Funck, T., Feier, N. A., Roy, S., Daigle-Martel, A., Ceko, M., Narayanan, S., Araujo, D., Thiel, A., Stikov, N., et al. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2619-16.2016 · Cited by 108
Rodent models of social stress and neuronal plasticity: Relevance to depressive-like disorders
Patel, D., Kas, M. J., Chattarji, S., & Buwalda, B. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.111900 · Cited by 111
Neuman, K. M., Molina-Campos, E., Musial, T. F., Price, A. L., Oh, K.-J., Wolke, M. L., Buss, E. W., Scheff, S. W., Mufson, E. J., & Nicholson, D. A. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0848-z · Cited by 104
Krzystyniak, A., Wesierska, M., Petrazzo, G., Gadecka, A., Dudkowska, M., Bielak-Zmijewska, A., Mosieniak, G., Figiel, I., Wlodarczyk, J., & Sikora, E. (2022) · Aging · doi:10.18632/aging.203835 · Cited by 105
Leuner, B., Fredericks, P. J., Nealer, C., & Albin-Brooks, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089912 · Cited by 107
Elimination of Dendritic Spines with Long-Term Memory Is Specific to Active Circuits
Sanders, J. D., Cowansage, K. K., Baumgärtel, K., & Mayford, M. R. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.1131-12.2012 · Cited by 101
Chronic unpredictable stress impairs endogenous antioxidant defense in rat brain
Che, Y., Zhu, Z., Shu, Y., Zhai, C., Zhu, Y., Gong, S., Cui, Y., & Wang, J. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.10.031 · Cited by 99
Luine, V. N., & Frankfurt, M. (2012) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2012.07.004 · Cited by 103
Improved relapse recovery in paediatric compared to adult multiple sclerosis
Chitnis, T., Aaen, G. S., Belman, A. L., Benson, L. A., Gorman, M., Goyal, M. S., Graves, J., Harris, Y., Krupp, L., Lotze, T. E., et al. (2020) · Brain · doi:10.1093/brain/awaa199 · Cited by 94
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
Jeanneteau, F. D., Barr�re, C., Vos, M., de Vries, C. J. M., Rouillard, C., Lévesque, D., Dromard, Y., Moisan, M., Đurić, V., Franklin, T., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2793-17.2017 · Cited by 97
Dendritic Spines: Mediators of Cognitive Resilience in Aging and Alzheimer’s Disease
Walker, C. K., & Herskowitz, J. H. (2021) · The Neuroscientist · doi:10.1177/1073858420945964 · Cited by 86
Automatic Dendritic Spine Quantification from Confocal Data with Neurolucida 360
Dickstein, D. L., Dickstein, D. R., Janssen, W. G. M., Hof, P. R., Glaser, J. R., Rodriguez, A., O'Connor, N., Angstman, P. J., & Tappan, S. J. (2016) · Current Protocols in Neuroscience · doi:10.1002/cpns.16 · Cited by 78
Self-citationJoyce, M. K. P., Uchendu, S., & Arnsten, A. F. T. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.06.016 · Cited by 86
Swanger, S. A., Yao, X., Groß, C., & Bassell, G. J. (2011) · Molecular Brain · doi:10.1186/1756-6606-4-38 · Cited by 81
Datta, D., & Arnsten, A. (2019) · Brain Sciences · doi:10.3390/brainsci9050113 · Cited by 78
MiR-218: a molecular switch and potential biomarker of susceptibility to stress
Torres-Berrío, A., Nouel, D., Cuesta, S., Parise, E. M., Restrepo-Lozano, J. M., Larochelle, P., Nestler, E. J., & Flores, C. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0421-5 · Cited by 79
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
Arnsten, A. F. T. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107327 · Cited by 75
“with extended periods of nonstress, at least in young subjects (Bloss et al., 2011; Liston et al., 2009).”
γ-Protocadherins Interact with Neuroligin-1 and Negatively Regulate Dendritic Spine Morphogenesis
Molumby, M. J., Anderson, R. M., Newbold, D. J., Koblesky, N. K., Garrett, A. M., Schreiner, D., Radley, J. J., & Weiner, J. A. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.02.060 · Cited by 78
Plasticity in the prefrontal cortex of adult rats
Kolb, B. E., & Gibb, R. L. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00015 · Cited by 73
Le, Y., Liu, S., Peng, M., Tan, C., Liao, Q., Duan, K., Ouyang, W., & Tong, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106837 · Cited by 71
Molecular and cellular aspects of age-related cognitive decline and Alzheimer’s disease
Hullinger, R., & Puglielli, L. (2017) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.008 · Cited by 68
Hains, A. B., Yabe, Y., & Arnsten, A. F. T. (2015) · Neurobiology of Stress · doi:10.1016/j.ynstr.2015.01.001 · Cited by 70
“In young rats, dendritic atrophy is reversible if the stress exposure is stopped (Radley et al., 2005; Bloss et al., 2011), suggesting that plasticity remains.”
BackgroundCalì, 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 68
Boisgontier, M. P., Cheval, B., Chalavi, S., van Ruitenbeek, P., Leunissen, I., Levin, O., Nieuwboer, A., & Swinnen, S. P. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.10.024 · Cited by 67
Diniz, C. R. A. F., & Crestani, A. P. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01931-x · Cited by 77
Lee, T. T. Y., & Hill, M. N. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.11.017 · Cited by 68
Guidi, M., Kumar, A., & Foster, T. C. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.3523-14.2015 · Cited by 63
Jackson, J. C., Santoro, M. J., Ely, T. M., Boehm, L. M., Kiehl, A. L., Anderson, L. S., & Ely, E. W. (2014) · Journal of Critical Care · doi:10.1016/j.jcrc.2014.01.009 · Cited by 62
White matter in the older brain is more plastic than in the younger brain
Yotsumoto, Y., Chang, L.-H., Ni, R., Pierce, R. S., Andersen, G. J., Watanabe, T., & Sasaki, Y. (2014) · Nature Communications · doi:10.1038/ncomms6504 · Cited by 62
Anderson, R. M., Glanz, R. M., Johnson, S. B., Miller, M. M., Romig‐Martin, S. A., & Radley, J. J. (2016) · The Journal of Comparative Neurology · doi:10.1002/cne.24027 · Cited by 64
Ross, J. A., Gliebus, G. P., & Bockstaele, E. J. V. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.08.004 · Cited by 63
Kaul, D., Schwab, S. G., Mechawar, N., & Matosin, N. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.01.025 · Cited by 58
Walhovd, K. B., Fjell, A. M., & Espeseth, T. (2014) · Scandinavian Journal of Psychology · doi:10.1111/sjop.12120 · Cited by 60
Bories, C., Husson, Z., Guitton, M. J., & Koninck, Y. D. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3258-12.2013 · Cited by 53
Nava, N., Treccani, G., Al‐Absi, A., Müller, H. K., Elfving, B., Popoli, M., Wegener, G., & Nyengaard, J. R. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv254 · Cited by 54
Barfield, E. T., & Gourley, S. L. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.10.015 · Cited by 53
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 53
Eavri, R., Shepherd, J. D., Welsh, C. A., Flanders, G. H., Bear, M. F., & Nedivi, E. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0808-18.2018 · Cited by 49
Exposure to a diet high in fat attenuates dendritic spine density in the medial prefrontal cortex
Dingess, P. M., Darling, R. A., Dolence, E. K., Culver, B. W., & Brown, T. E. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1208-y · Cited by 49
Festa, L. K., Gutoskey, C. J., Graziano, A., Waterhouse, B. D., & Meucci, O. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4403-14.2015 · Cited by 48
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 53
Self-citationKrzystyniak, A., Bączyńska, E., Magnowska, M., Antoniuk, S., Roszkowska, M., Zaręba-Kozioł, M., Das, N., Basu, S., Pikuła, M., & Włodarczyk, J. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20071726 · Cited by 47
Adolescence and “Late Blooming” Synapses of the Prefrontal Cortex
Delevich, K., Thomas, A. W., & Wilbrecht, L. (2018) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2018.83.037507 · Cited by 46
Whyte, A. J., Kietzman, H. W., Swanson, A. M., Butkovich, L. M., Barbee, B. R., Bassell, G. J., Groß, C., & Gourley, S. L. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2031-18.2019 · Cited by 42
Brain Physiology and Pathophysiology in Mental Stress
Alkadhi, K. A. (2013) · ISRN Physiology · doi:10.1155/2013/806104 · Cited by 48
EphB2 in the Medial Prefrontal Cortex Regulates Vulnerability to Stress
Zhang, R., Han, Y., Chen, C., Xu, L., Li, J., Chen, N., Sun, C., Chen, W., Zhu, W., Shi, J., et al. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.58 · Cited by 42
Sleep and executive functions in older adults: A systematic review
Júnior, F. W. N. H., & de Almondes, K. M. (2016) · Dementia & Neuropsychologia · doi:10.1590/s1980-5764-2016dn1003004 · Cited by 47
Ambeskovic, M., Soltanpour, N., Falkenberg, E. A., Zucchi, F. C. R., Kolb, B. E., & Metz, G. A. S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw063 · Cited by 41
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 37
Self-citationDingess, P. M., Darling, R. A., Derman, R. C., Wulff, S. S., Hunter, M. L., Ferrario, C. R., & Brown, T. E. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.57 · Cited by 38
Greathouse, K. M., Boros, B. D., Deslauriers, J. F., Henderson, B. W., Curtis, K. A., Gentry, E. G., & Herskowitz, J. H. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1748-4 · Cited by 38
Neuro-immune interactions across development: A look at glutamate in the prefrontal cortex
Macht, V. A. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.08.039 · Cited by 39
Effects of chronic variable stress on cognition and Bace1 expression among wild-type mice
Cordner, Z. A., & Tamashiro, K. L. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.127 · Cited by 38
Age and adolescent social stress effects on fear extinction in female rats
McCormick, C. M., Mongillo, D. L., & Simone, J. J. (2013) · Stress · doi:10.3109/10253890.2013.840283 · Cited by 36
Ambeskovic, M., Babenko, O., Ilnytskyy, Y., Kovalchuk, I., Kolb, B., & Metz, G. A. S. (2019) · Scientific Reports · doi:10.1038/s41598-019-42691-z · Cited by 36
Tanokashira, D., Morita, T., Hayashi, K., Mayanagi, T., Fukumoto, K., Kubota, Y., Yamashita, T., & Sobue, K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2380-12.2012 · Cited by 36
Bisaz, R., Boadas‐Vaello, P., Genoux, D., & Sandi, C. (2013) · Learning & Memory · doi:10.1101/lm.030064.112 · Cited by 37
Luczynski, P., Moquin, L., & Gratton, A. P. (2015) · Stress · doi:10.3109/10253890.2015.1073256 · Cited by 33
Arango-Lievano, M., & Jeanneteau, F. D. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2016.08.005 · Cited by 38
Sotoudeh, N., Namavar, M. R., Zarifkar, A., & Heidarzadegan, A. R. (2020) · IBRO Reports · doi:10.1016/j.ibror.2020.08.002 · Cited by 34
Anderson, R. M., Johnson, S. B., Lingg, R. T., Hinz, D. C., Romig‐Martin, S. A., & Radley, J. J. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz092 · Cited by 38
Metadata
- Authors
- Bloss, E. B., Janssen, W. G., Ohm, D. T., Yuk, F. J., Wadsworth, S., Saardi, K. M., McEwen, B. S., & Morrison, J. H.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Rockefeller University (US)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-05-25
- Volume
- 31
- Issue
- 21
- Pages
- 7831-7839
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3398699
- OpenAlex
- W2065400194
- Cited by
- 219
- References
- 56
- Citations by year
- 2026: 16 · 2025: 8 · 2024: 8 · 2023: 19 · 2022: 13 · 2021: 10 · 2020: 12 · 2019: 13 · 2018: 18 · 2017: 10 · 2016: 18 · 2015: 17 · 2014: 14 · 2013: 18 · 2012: 21
- FWCI
- 7.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (R37AG006647, F31AG034794)
- National Institute of Mental Health (MH-58911, P50MH058911)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- dendritic spine plasticity, aging, prefrontal cortex, experience-dependent plasticity, dendritic spine density, dendritic spine morphology, cognitive aging
- MeSH terms
- Aging, Animals, Cognition, Learning, Male, Neuronal Plasticity, Rats, Sprague-Dawley, Prefrontal Cortex, Dendritic Spines, Rats
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