Evidence map›Paper›PMID 38671048›Full record

ArticleScientific reports2024

Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults.

Andrew J Graves, Joshua S Danoff, Minah Kim, Samantha R Brindley, Amalia M Skyberg, Stephanie N Giamberardino, Morgan E Lynch, Brenda C Straka, Travis S Lillard, Simon G Gregory and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Epigenetic Clock Trajectories and Brain Health in Midlife.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Review
  5. Article
  6. Preliminary Investigation of the Association Between Epigenetic Aging Acceleration and Amyloid Biomarkers in Bipolar Disorder.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

12 authors.

Andrew J GravesUniversity of Virginia, Charlottesville, USA.
Joshua S DanoffUniversity of Virginia, Charlottesville, USA.
Minah KimUniversity of Virginia, Charlottesville, USA.
Samantha R BrindleyUniversity of Virginia, Charlottesville, USA.
Amalia M SkybergUniversity of Oregon, Eugene, USA.
Stephanie N GiamberardinoDuke University, Durham, USA.
Morgan E LynchUniversity of Southern California, Los Angeles, USA.
Brenda C StrakaUniversity of Illinois Urbana-Champaign, Urbana, USA.
Travis S LillardUniversity of Virginia, Charlottesville, USA.
Simon G GregoryDuke University, Durham, USA.
Jessica J ConnellyUniversity of Virginia, Charlottesville, USA.
James P MorrisUniversity of Virginia, Charlottesville, USA. jpm5jb@virginia.edu.

Funding

Short-term cognitive change in adults from 18 to 80R01AG024270 · NIA · UNIVERSITY OF VIRGINIA · PI DODSON, CHAD S, ERISIR, ALEV · 2016 to 2020
$3.1M
National Institutes of Aging R01AG024270NIA NIH HHS R01 AG024270
6 · The paper itself

Abstract

While chronological age is a strong predictor for health-related risk factors, it is an incomplete metric that fails to fully characterize the unique aging process of individuals with different genetic makeup, neurodevelopment, and environmental experiences. Recent advances in epigenomic array technologies have made it possible to generate DNA methylation-based biomarkers of biological aging, which may be useful in predicting a myriad of cognitive abilities and functional brain network organization across older individuals. It is currently unclear which cognitive domains are negatively correlated with epigenetic age above and beyond chronological age, and it is unknown if functional brain organization is an important mechanism for explaining these associations. In this study, individuals with accelerated epigenetic age (i.e. AgeAccelGrim) performed worse on tasks that spanned a wide variety of cognitive faculties including both fluid and crystallized intelligence (N = 103, average age = 68.98 years, 73 females, 30 males). Additionally, fMRI connectome-based predictive models suggested a mediating mechanism of functional connectivity on epigenetic age acceleration-cognition associations primarily in medial temporal lobe and limbic structures. This research highlights the important role of epigenetic aging processes on the development and maintenance of healthy cognitive capacities and function of the aging brain.

Indexed as

AgingBrainCognitionConnectomeEpigenesis, GeneticMagnetic Resonance ImagingAgedAged, 80 and overCognitive DysfunctionDNA MethylationFemaleHumansMaleMiddle Aged

Identifiers

PMID38671048
PMCPMC11053089

What OpenQuestion holds

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Registered trials

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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.