Evidence map›Paper›PMID 41381974›Full record

ArticleGeroScience2026

Deep neural networks and genome-wide associations reveal the polygenic architecture of local brain aging.

Nicholas J Kim, Ayati Mishra, Nahian F Chowdhury, Samuel D Anderson, Owen M Vega, Nikhil N Chaudhari, Kenneth H Buetow, Paul M Thompson, Andrei Irimia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nicholas J KimAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA.
Ayati MishraEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Nahian F ChowdhuryEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Samuel D AndersonEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Owen M VegaEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Nikhil N ChaudhariEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA.
Kenneth H BuetowSchool of Life Sciences Center for Social Dynamics and Complexity, Arizona State University, Tempe, AZ, USA.
Paul M ThompsonImaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, USA.
Andrei IrimiaAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA. irimia@usc.edu.ORCID http://orcid.org/0000-0002-9254-9388

Funding

Interpretable machine learning to synergize brain age estimation and neuroimaging geneticsR01AG079957 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Andrei Irimia · 2023 to 2026
$3.2M
NIA NIH HHS R01 AG 079957NIA NIH HHS R01 AG079957
6 · The paper itself

Abstract

Local brain age (LBA) is a regional metric of brain aging that offers a spatially resolved alternative to global brain age, but whose genetic basis is unexplored. This study reports the first genome-wide association study of cortical LBA, as estimated by a deep neural network from the T

Indexed as

AgingBrainDeep LearningGenome-Wide Association StudyMultifactorial InheritanceAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPolymorphism, Single NucleotideUK BiobankBrain ageDeep learningGWASMRI

Identifiers

PMID41381974
PMCPMC13356123

What OpenQuestion holds

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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.