Evidence map›Paper›PMID 22595787›Full record

ReviewNature reviews. Neuroscience2012

Insights into CNS ageing from animal models of senescence.

Mark Yeoman, Greg Scutt, Richard Faragher

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 97 citations in OpenAlex.

  1. Article
  2. Age-related degradation of behavioral and network features ofbioRxiv : the preprint server for biology · 2025
    Article
  3. Functional mapping of the molluscan brain guided by synchrotron X-ray tomography.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. A Multivariate Assessment of Age-Related Cognitive Impairment inFrontiers in integrative neuroscience · 2021
    Article
  11. Sleep and ageing: from human studies to rodent models.Current opinion in physiology · 2020
    Article
  12. Stem Cells of the Aging Brain.Frontiers in aging neuroscience · 2020
    Review
  13. Review
  14. Senescent neurophysiology: CaNeurobiology of learning and memory · 2019
    Review
  15. Review
  16. Changes in murine anorectum signaling across the life course.Neurogastroenterology and motility · 2018
    Article
  17. Effects of Aging on Cortical Neural Dynamics and Local Sleep Homeostasis in Mice.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Mark YeomanSchool of Pharmacy and Biomolecular Sciences, Huxley Building, University of Brighton, Brighton, East Sussex BN2 4GJ, UK.
Greg Scutt
Richard Faragher
University of Brighton · GB

Funding

Biotechnology and Biological Sciences Research Council BB/G015147/1Biotechnology and Biological Sciences Research Council G015147/1
6 · The paper itself

Abstract

In recent years, novel model systems have made significant contributions to our understanding of the processes that control the ageing of whole organisms. However, there are limited data to show that the mechanisms that gerontologists have identified as having a role in organismal ageing contribute significantly to the ageing of the central nervous system. Two recent discoveries illustrate this particularly well. The first is the consistent failure of researchers to demonstrate a simple relationship between organismal ageing and oxidative stress--a mechanism often assumed to have a primary role in brain ageing. The second is the demonstration that senescent cells play a causal part in organismal ageing but remain essentially unstudied in a CNS context. We argue that the animal models now available (including rodents, flies, molluscs and worms), if properly applied, will allow a paradigm shift in our current understanding of the normal processes of brain ageing.

Indexed as

AgingAnimalsCentral Nervous SystemHumansInvertebratesLearningModels, AnimalModels, BiologicalMyaOxidative StressVertebrates

Identifiers

PMID22595787
OpenAlexW1996589171

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.