Evidence map›Paper›PMID 37484693›Full record

ArticleFrontiers in aging neuroscience2023

Brain structure and working memory adaptations associated with maturation and aging in mice.

Kevan P Clifford, Amy E Miles, Thomas D Prevot, Keith A Misquitta, Jacob Ellegood, Jason P Lerch, Etienne Sibille, Yuliya S Nikolova, Mounira Banasr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Altered Brain Structure in an ATRX-Deficient Mouse Model of Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

9 authors at 3 institutions in 2 countries.

Kevan P Clifford *Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada.
Amy E Miles *Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Thomas D PrevotCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Keith A MisquittaCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Jacob EllegoodMouse Imaging Centre (MICe), Hospital for Sick Children, Toronto, ON, Canada.
Jason P LerchMouse Imaging Centre (MICe), Hospital for Sick Children, Toronto, ON, Canada.
Etienne SibilleCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
Yuliya S NikolovaInstitute of Medical Sciences, University of Toronto, Toronto, ON, Canada.
Mounira BanasrCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
University of Toronto · CACentre for Addiction and Mental Health · CAHospital for Sick Children · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: As the population skews toward older age, elucidating mechanisms underlying human brain aging becomes imperative. Structural MRI has facilitated non-invasive investigation of lifespan brain morphology changes, yet this domain remains uncharacterized in rodents despite increasing use as models of disordered human brain aging. Methods: Young (2m, Results: Widespread significant maturational changes in volume occurred in 18 brain regions, including considerable loss in isocortex regions and increases in brainstem regions and white matter tracts. The aging-related comparison yielded 6 significant changes in brain volume, including further loss in isocortex regions and increases in white matter tracts. No significant volume changes were observed across either comparison for subcortical regions. Additionally, smaller volume of the anterior cingulate area (χ Conclusion/Implications: These findings offer a foundational account of age effects on brain volume, structural brain networks, and working memory in mice, informing future work in facilitating translation between rodent models and human brain aging.

Indexed as

agingbrain volume changescognitionlifespanmouse modelMRIStructural covariance network (SCN)working memory

Identifiers

PMID37484693
PMCPMC10359104
OpenAlexW4383340788

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.