Evidence map›Paper›PMID 41381972›Full record

ArticleGeroScience2026

Your brain doesn't look a day past 70! Cross-sectional associations with brain-predicted age in the cognitively-intact oldest-old.

Mark K Britton, Hannah Hoogerwoerd, Joshua Juhasz, Keyanni Joy Johnson, Paul D Stewart, Pradyumna K Bharadwaj, Stacy S Merritt, Cortney J Jessup, Clinton B Wright, G Alex Hishaw and 12 more

Abstract read
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

5 · Who and what money

Authors and funding

22 authors.

Mark K BrittonDepartment of Epidemiology, University of Florida, Gainesville, FL, 32610, USA. mark.britton@yale.edu.ORCID http://orcid.org/0000-0003-4261-1806
Hannah HoogerwoerdCenter for Cognitive Aging and Memory, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.ORCID http://orcid.org/0009-0002-8087-7314
Joshua JuhaszCenter for Cognitive Aging and Memory, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.
Keyanni Joy JohnsonCenter for Cognitive Aging and Memory, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.
Paul D StewartDepartment of Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, 35233, USA.ORCID http://orcid.org/0000-0001-7176-900X
Pradyumna K BharadwajDepartment of Psychology, University of Arizona, Tucson, AZ, 85719, USA.
Stacy S MerrittDepartment of Neurology, University of Miami, Miami, FL, 33136, USA.
Cortney J JessupDepartment of Psychology, University of Arizona, Tucson, AZ, 85719, USA.
Clinton B WrightNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, 20824, USA.ORCID http://orcid.org/0000-0002-9797-6215
G Alex HishawEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, 85719, USA.
David A RaichlenDepartment of Biological Sciences, University of Southern California, Los Angeles, CA, 90089, USA.ORCID http://orcid.org/0000-0002-4940-7886
Victor A Del BeneEvelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Birmingham, Alabama, 35233, USA.ORCID http://orcid.org/0000-0002-8562-5071
Virginia G WadleyEvelyn F. McKnight Brain Institute, University of Alabama at Birmingham, Birmingham, Alabama, 35233, USA.ORCID http://orcid.org/0000-0003-4524-8395
Theodore P TrouardEvelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, 85719, USA.ORCID http://orcid.org/0000-0001-9461-2283
Noam AlperinEvelyn F. McKnight Brain Institute, University of Miami, Miami, FL, 33136, USA.ORCID http://orcid.org/0000-0002-3828-2950
Bonnie E LevinDepartment of Neurology, University of Miami, Miami, FL, 33136, USA.
Tatjana RundekDepartment of Neurology, University of Miami, Miami, FL, 33136, USA.ORCID http://orcid.org/0000-0002-7115-9815
Kristina M VisscherDepartment of Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama, 35233, USA.ORCID http://orcid.org/0000-0003-0737-4024
Gene E AlexanderDepartment of Psychology, University of Arizona, Tucson, AZ, 85719, USA.
Ronald A CohenCenter for Cognitive Aging and Memory, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.
Eric C PorgesCenter for Cognitive Aging and Memory, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.ORCID http://orcid.org/0000-0003-3885-5859
Joseph M GullettCenter for Cognitive Aging and Memory, Evelyn F. and William L. McKnight Brain Institute, University of Florida, Gainesville, FL, 32610, USA.ORCID http://orcid.org/0000-0002-8184-7187

Funding

Translational Science Training to Reduce the Impact of Alcohol on HIV InfectionT32AA025877 · NIAAA · UNIVERSITY OF FLORIDA · PI Robert L Cook, DEBRA E LYON · 2018 to 2026
$3.3M
Advanced 3T for Structural and Functional Imaging at University of FloridaS10OD021726 · OD · UNIVERSITY OF FLORIDA · PI LONG, JOANNA R · 2017 to 2017
$2.0M
Cross-disciplinary research opportunity for training in AD/ADRD science (CROSSROADS)T32AG081170 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI James E Galvin, Girardin Jean-Louis · 2024 to 2026
$1.4M
Using Artificial Intelligence to Predict Cognitive Training Response in Amnestic Mild Cognitive ImpairmentK23AG080127 · NIA · UNIVERSITY OF FLORIDA · PI JOSEPH M GULLETT · 2023 to 2026
$640k
NIAAA NIH HHS T32 AA025877NIA NIH HHS K23 AG080127NIA NIH HHS T32 AG081170NIH HHS S10 OD021726
6 · The paper itself

Abstract

The cognitively-intact oldest-old (85 +) may be the most-resilient members of their birth cohort; due to survivorship effects (e.g., depletion of susceptibles), risk factors associated with brain aging biomarkers in younger samples may not generalize to the cognitively-intact oldest-old. We evaluated associations between established aging-related risk factors and brain-predicted age difference (brainPAD) in a cross-sectional cognitively-intact oldest-old sample. Additionally, we evaluated brainPAD-cognition associations to characterize brain maintenance vs. cognitive reserve in our sample. Oldest-old adults (N = 206; 85-99 years; Montreal Cognitive Assessment > 22 or neurologist evaluation) underwent T1-weighted MRI; brainPAD was generated with brainageR, such that more-positive brainPAD reflected more-advanced brain aging. Sex, education, alcohol and smoking history, exercise history, BMI, cardiovascular and metabolic disease history, and anticholinergic medication burden were self-reported. Global cognitive z-score and coefficient of variation were derived from the UDS 3.0 cognitive battery; crystallized-fluid discrepancy was derived from the NIH Toolbox Cognitive Battery. Mean brainPAD was -7.99 (SD: 5.37; range: -24.50, 6.03). Women showed more-delayed brain aging than men (B = -2.9, 95% CI = -4.6, -1.1, p = 0.002). No other exposures were significantly associated with brainPAD. BrainPAD was not associated with any cognitive variable. These findings suggest that cognitively-intact oldest-old adults may be atypically-resistant to risk factors associated with aging in younger samples, consistent with survivorship effects in aging. Furthermore, brainPAD may have limited explanatory value for cognitive performance in cognitively-intact oldest-old adults, potentially due to high cognitive reserve. Overall, our findings highlight the impact of survivorship effects on brain aging research.

Indexed as

AgingBrainCognitionCognitive AgingCognitive ReserveAged, 80 and overCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleRisk FactorsCognitive agingEpidemiologic factorsLongevityMagnetic resonance imagingSelection biasSupervised machine learning

Identifiers

PMID41381972
PMCPMC13601442

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.