Evidence map›Paper›PMID 40644939›Full record

ArticleNeurobiology of aging2025

Epigenetic age is associated with regional brain aging along the sensorimotor-to-association axis of cortical organization.

Nicholas Riccardi, Carolyn Banister, Natalie Busby, Sarah Newman-Norlund, Roger Newman-Norlund, Ida Rangus, Alex Teghipco, Chris Roden, Julius Fridriksson, Leonardo Bonilha

Abstract read
In one paragraph

Article in Neurobiology of aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Nicholas RiccardiDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, United States. Electronic address: riccardn@email.sc.edu.
Carolyn BanisterDrug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, Columbia, SC, United States.
Natalie BusbyDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, United States.
Sarah Newman-NorlundDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, United States.
Roger Newman-NorlundDepartment of Psychology, University of South Carolina, Columbia, SC, United States.
Ida RangusDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, United States; Center for Stroke Research Berlin, Berlin, Germany.
Alex TeghipcoDepartment of Psychology, University of South Carolina, Columbia, SC, United States.
Chris RodenDepartment of Psychology, University of South Carolina, Columbia, SC, United States.
Julius FridrikssonDepartment of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, United States.
Leonardo BonilhaDepartment of Neurology, School of Medicine Columbia, University of South Carolina, Columbia, SC, United States.

Funding

Cortical and Subcortical Organization of Language-Related Semantic Processing in Alzheimer's DiseaseR01DC014021 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI BONILHA, LEONARDO F · 2014 to 2023
$4.7M
Extending ezBIDS, NiiVue and dcm2niix for user-friendly cloud-based integration and visualizationRF1MH133701 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI RORDEN, CHRISTOPHER · 2023 to 2023
$2.0M
Brain Age in AphasiaR01DC022458 · NIDCD · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Leonardo F Bonilha · 2024 to 2026
$1.8M
NIDCD NIH HHS R01 DC014021NIDCD NIH HHS R01 DC022458NIMH NIH HHS RF1 MH133701
6 · The paper itself

Abstract

Brain age and epigenetic age (DNAmAge) are 'biological clocks' independently linked to health outcomes. However, the relationship between brain and epigenetic age remains unclear. We used path analysis to investigate relationships between chronological age, DNAmAge, and brain age and explored whether advanced aging in specific brain regions relates to DNAmAge. BrainAge (global and regional) was estimated from brain MRI in 149 participants (ages 20-80). From whole blood, four DNAmAges were calculated: Pheno, Hannum, Horvath, and SkinBlood. Mediation was used to test the indirect effect of DNAmAge on global BrainAge, as well as the reverse, with chronological age as the independent variable. Correlations between accelerated region-specific BrainAge and DNAmAge were also examined. DNAmPhenoAge mediated the relationship between chronological age and global BrainAge. DNAmPhenoAge was related to advanced BrainAge of regions higher on the sensorimotor-to-association axis of cortical organization (F(1104) = 17.5, R

Indexed as

AgingBrainCerebral CortexEpigenesis, GeneticAdultAgedAged, 80 and overCellular SenescenceDNA MethylationFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung AdultBrain ageDNA methylationEpigenetic ageHealthy agingMRI

Identifiers

PMID40644939
PMCPMC12313265

What OpenQuestion holds

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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.