Evidence map›Paper›PMID 32726311›Full record

ArticlePloS one2020

Brain regions vulnerable and resistant to aging without Alzheimer's disease.

Xinyang Feng, Jia Guo, Hannah C Sigmon, Richard P Sloan, Adam M Brickman, Frank A Provenzano, Scott A Small, Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Astrocytes in aging.Neuron · 2025
    Review
  16. Article
  17. Inflammaging and Brain Aging.International journal of molecular sciences · 2024
    Review
  18. Article
  19. Article
  20. Educational Attainment Moderates Task-State Control Network Connectivity Relations to Response Conflict Among Healthy Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
    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

8 authors at 2 institutions in 1 country.

Xinyang FengDepartment of Biomedical Engineering, Columbia University, New York, NY, United States of America.ORCID 0000-0003-0331-0488
Jia GuoDepartment of Psychiatry, Columbia University, New York, NY, United States of America.ORCID 0000-0003-4803-0279
Hannah C SigmonDepartment of Neurology, Columbia University, New York, NY, United States of America.
Richard P SloanDepartment of Psychiatry, Columbia University, New York, NY, United States of America.
Adam M BrickmanDepartment of Neurology, Columbia University, New York, NY, United States of America.
Frank A ProvenzanoDepartment of Neurology, Columbia University, New York, NY, United States of America.ORCID 0000-0001-6069-3062
Scott A SmallDepartment of Psychiatry, Columbia University, New York, NY, United States of America.
Alzheimer’s Disease Neuroimaging Initiative
Columbia University · USNew York Psychoanalytic Society and Institute · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Miguel Arce · 2020 to 2026
$30.1M
CIHRNIA NIH HHS P30 AG066462NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

'Normal aging' in the brain refers to age-related changes that occur independent of disease, in particular Alzheimer's disease. A major barrier to mapping normal brain aging has been the difficulty in excluding the earliest preclinical stages of Alzheimer's disease. Here, before addressing this issue we first imaged a mouse model and learn that the best MRI measure of dendritic spine loss, a known pathophysiological driver of normal aging, is one that relies on the combined use of functional and structural MRI. In the primary study, we then deployed the combined functional-structural MRI measure to investigate over 100 cognitively-normal people from 20-72 years of age. Next, to cover the tail end of aging, in secondary analyses we investigated structural MRI acquired from cognitively-normal people, 60-84 years of age, who were Alzheimer's-free via biomarkers. Collectively, the results from the primary functional-structural study, and the secondary structural studies revealed that the dentate gyrus is a hippocampal region differentially affected by aging, and that the entorhinal cortex is a region most resistant to aging. Across the cortex, the primary functional-structural study revealed and that the inferior frontal gyrus is differentially affected by aging, however, the secondary structural studies implicated other frontal cortex regions. Together, the results clarify how normal aging may affect the brain and has possible mechanistic and therapeutic implications.

Indexed as

AdultAgedAged, 80 and overAgingAlzheimer DiseaseAnimalsBrainBrain MappingCellular SenescenceCognitive DysfunctionDendritic SpinesDentate GyrusEntorhinal CortexFemaleHumansMagnetic Resonance Imaging

Identifiers

PMID32726311
PMCPMC7390259
OpenAlexW3045501231

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.