The DOI matches its Crossref record; 117 of the 117 references it cites were found in a registry or an index.
Dendritic spine changes associated with normal aging
Open accessAbstract
Given the rapid rate of population aging and the increased incidence of cognitive decline and neurodegenerative diseases with advanced age, it is important to ascertain the determinants that result in cognitive impairment. It is also important to note that much of the aged population exhibit 'successful' cognitive aging, in which cognitive impairment is minimal. One main goal of normal aging studies is to distinguish the neural changes that occur in unsuccessful (functionally impaired) subjects from those of successful (functionally unimpaired) subjects. In this review, we present some of the structural adaptations that neurons and spines undergo throughout normal aging and discuss their likely contributions to electrophysiological properties and cognition. Structural changes of neurons and dendritic spines during aging, and the functional consequences of such changes, remain poorly understood. Elucidating the structural and functional synaptic age-related changes that lead to cognitive impairment may lead to the development of drug treatments that can restore or protect neural circuits and mediate cognition and successful aging.
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?
In the citing paper
“Development and ageing of the brain are associated with the attrition and loss of neurons1.”
From Epigenetic regulation of brain region-specific microglia clearance activity (2018) · cites this paper as [1]
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
Life and Death of Neurons in the Aging Brain
Morrison, J. H., & Hof, P. R. (1997) · Science · doi:10.1126/science.278.5337.412 · Cited by 1,344
Self-citationInfluence of dendritic structure on firing pattern in model neocortical neurons
Mainen, Z. F., & Sejnowski, T. J. (1996) · Nature · doi:10.1038/382363a0 · Cited by 1,231
Executive Functioning as a Potential Mediator of Age-Related Cognitive Decline in Normal Adults.
Salthouse, T. A., Atkinson, T. M., & Berish, D. E. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.4.566 · Cited by 1,057
Liston, C., Miller, M. M., Goldwater, D. S., Radley, J. J., Rocher, A. B., Hof, P. R., Morrison, J. H., & McEwen, B. S. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1184-06.2006 · Cited by 968
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
Radley, J. J., Sisti, H. M., Hao, J., Rocher, A. B., McCall, T., Hof, P. R., McEwen, B. S., & Morrison, J. H. (2004) · Neuroscience · doi:10.1016/j.neuroscience.2004.01.006 · Cited by 769
Self-citationAge-Related Impairment in Executive Functioning: Updating, Inhibition, Shifting, and Access
Fisk, J. E., & Sharp, C. A. (2004) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390490510680 · Cited by 634
Propagation of action potentials in dendrites depends on dendritic morphology
Vetter, P., Roth, A., & Häusser, M. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.2.926 · Cited by 598
The effects of normal aging on myelin and nerve fibers: a review
Peters, A. (2002) · Journal of Neurocytology · doi:10.1023/a:1025731309829 · Cited by 577
Neuronal basis of age-related working memory decline
Wang, M., Gamo, N. J., Yang, Y., Jin, L. E., Wang, X.-J., Laubach, M., Mazer, J. A., Lee, D., & Arnsten, A. F. T. (2011) · Nature · doi:10.1038/nature10243 · Cited by 485
Flagged first, then by citations
Research works printed but not linked: 1
- De Groot, 1987, Numerical changes in rat hippocampal synapses: an effect of “aging”?, Acta Stereol, 6, 53
Cited by
Sorted by citations
Epigenetic regulation of brain region-specific microglia clearance activity
Ayata, P., Badimon, A., Strasburger, H. J., Duff, M. K., Montgomery, S. E., Loh, Y.-H. E., Ebert, A., Pimenova, A. A., Ramirez, B. R., Chan, A. T., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0192-3 · Cited by 460
A synopsis on aging—Theories, mechanisms and future prospects
da Costa, J. P., Vitorino, R. M. P., Silva, G. M., Vogel, C., Duarte, A. C., & Rocha‐Santos, T. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.06.005 · Cited by 505
Roles of microglia in brain development, tissue maintenance and repair
Michell‐Robinson, M. A., Touil, H., Healy, L. M., Owen, D. R., Durafourt, B. A., Bar‐Or, A., Antel, J. P., & Moore, C. S. (2015) · Brain · doi:10.1093/brain/awv066 · Cited by 435
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
“…by increased baseline expression of inflammatory markers and mediators, a decreased threshold of activation and a switch to a pro-inflammatory state, and by exaggerated inflammatory response following immune activation (Dilger and Johnson, 2008; Norden et al., 2015; Fonken et al., 2018).”
BackgroundLee, J., & Kim, H.-J. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.931536 · Cited by 310
Metadata
- Authors
- Dickstein, D. L., Weaver, C. M., Luebke, J. I., & Hof, P. R.
- Affiliations
- Icahn School of Medicine at Mount Sinai (US)
- Franklin & Marshall College (US)
- Boston University (US)
- Corresponding author
- Dickstein, D.L.
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 251
- Pages
- 21-32
- ISSN
- 0306-4522 (ISSN-L)
- PMC
- PMC3654095
- OpenAlex
- W1983509957
- Cited by
- 289
- References
- 115
- Citations by year
- 2026: 25 · 2025: 22 · 2024: 41 · 2023: 21 · 2022: 25 · 2021: 29 · 2020: 30 · 2019: 14 · 2018: 22 · 2017: 12 · 2016: 19 · 2015: 9 · 2014: 12 · 2013: 8
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (R01AG035071, AG025062, R01AG025062, P01AG000001, AG035071, AG00001)
- National Institute of Mental Health (MH071818, R01MH071818)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- dendritic spines, normal aging, successful aging, cognitive aging, cognitive impairment, synaptic plasticity, electrophysiological properties, neurodegenerative diseases
- MeSH terms
- Aging, Animals, Brain, Cognition, Humans, Neuronal Plasticity, Neurons, Dendritic Spines
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