Evidence mapPaperPMID 41665740Full record

Trial reportGeroScience2026

Randomized controlled trial of resistance exercise and brain aging clocks.

Raul Gonzalez-Gomez, Naiara Demnitz, Carlos Coronel, Anne Theil Gates, Michael Kjaer, Hartwig R Siebner, Carl-Johan Boraxbekk, Agustin M Ibanez

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Raul Gonzalez-GomezLatin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile.
Naiara DemnitzDanish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Carlos CoronelLatin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile.
Anne Theil GatesInstitute of Sports Medicine Copenhagen (ISMC), Bispebjerg Hospital, University of Copenhagen, Copenhagen, Denmark.
Michael KjaerInstitute of Sports Medicine Copenhagen (ISMC), Bispebjerg Hospital, University of Copenhagen, Copenhagen, Denmark.
Hartwig R SiebnerDanish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital - Amager and Hvidovre, Hvidovre, Copenhagen, Denmark.
Carl-Johan BoraxbekkInstitute of Sports Medicine Copenhagen (ISMC), Bispebjerg Hospital, University of Copenhagen, Copenhagen, Denmark. boraxbekk@sund.ku.dk.
Agustin M IbanezLatin American Brain Health Institute (BrainLat), Universidad Adolfo Ibañez, Santiago de Chile, Chile. agustin.ibanez@gbhi.org.ORCID http://orcid.org/0000-0001-6758-5101

Funding

An automated machine learning approach to language changes in Alzheimer’s disease and frontotemporal dementia across Latino and English-speaking populationsR01AG075775 · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2025 to 2025
$2.0M
H. Lundbeck A/S R380-2021-1269NIA NIH HHS R01 AG075775
6 · The paper itself

Abstract

Exercise improves cognition, mental wellbeing, and protects against neurodegeneration. However, most prior neuroscience studies have focused on localized brain changes without quantifying their impact on brain ageing. To quantify the effect of resistance training on brain health using longitudinal assessments. Using resting-state functional magnetic resonance imaging (rs-fMRI) data from 2,433 healthy adults, we trained models to predict brain age and applied them to 309 participants from the Live Active Successful Aging (LISA) randomized trial. Participants in this trial were assigned to one of three groups: heavy-resistance training, moderate-intensity training, or a non-exercise control group. They underwent repeated rs-fMRI and physical fitness assessments at baseline, with follow-up assessments at 1 and 2 years. First, we examined changes in local connectivity between groups. Second, we assessed the impact of resistance training on brain ageing using brain clock models trained on the independent dataset of 2,433 adults. Local analyses revealed increased prefrontal functional connectivity following heavy training, while moderate- and heavy-resistance training significantly reduced brain age (-1.4 to -2.3 years, p

Indexed as

AgingBrainResistance TrainingAdultAgedCognitionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedBrain clocksBrain healthExerciseFunctional connectivityMuscle strength

Identifiers

PMID41665740
PMCPMC13356001

What Socratic 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 Socratic graph.