Evidence map›Paper›PMID 41427301›Full record

ArticlebioRxiv : the preprint server for biology2025

Profiles of Aging Based on Cognition, Affect, and Brain Reserve.

Setthanan Jarukasemkit, Lyn Stahl, Karen M Tam, Bibo Feng, Samuel Naranjo Rincon, Xiaoke Luo, Hailey Modi, Kassandra Hamilton, Petra Lenzini, Fyzeen Ahmad and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

12 authors.

Setthanan Jarukasemkit
Lyn Stahl
Karen M Tam
Bibo Feng
Samuel Naranjo Rincon
Hailey Modi
Kassandra HamiltonORCID 0009-0003-7904-9498
Petra Lenzini
Fyzeen Ahmad
Ty Easley
Janine D Bijsterbosch

Funding

The role of late life depression in cognitive decline and Alzheimer's Disease riskR01MH128286 · NIMH · WASHINGTON UNIVERSITY · PI Janine Diane Bijsterbosch · 2022 to 2026
$2.7M
A High Performance Research Image Repository (RIR) for the Washington University Center of High Performance Computing (CHPC)S10OD030477 · OD · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT · 2021 to 2021
$1.9M
HCP-2.0: Ascertaining Network Mechanisms and Analytics of Emotional Dysfunction (HARMONY)R01MH132962 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BIJSTERBOSCH, JANINE DIANE, NARR, KATHERINE L · 2023 to 2024
$1.6M
Acquisition of a next-generation computing clusterS10OD025200 · OD · WASHINGTON UNIVERSITY · PI TOBIAS, MALCOLM · 2019 to 2019
$597k
NIH HHS S10 OD025200NIH HHS S10 OD030477NIMH NIH HHS R01 MH128286NIMH NIH HHS R01 MH132962
6 · The paper itself

Abstract

The aging paradox describes improvements in emotional wellbeing as a function of aging, despite declines in cognition. Conversely, late life depression has been associated with increased cognitive decline in aging. We sought to understand these seemingly contradictory patterns of cognitive and mental health in older age. Building on cognitive reserve, affective reserve, and brain reserve models of aging, we developed three alternative algorithmic approaches to group N=22,686 participants from the UK Biobank into different profiles of aging. Our results revealed that aging profiles identified using our data-driven brain reserve model, which incorporated measures of cognition, neuroticism, and brain volume, achieved the highest validation results. Importantly, only two of the four aging profiles were characterized by the aging paradox (i.e., improved emotionality and decreased cognition with age). We identified one profile characterized by particularly low levels of neuroticism and relative resilience to cognitive decline. Another profile benefited from relatively preserved brain volumes, potentially driven by younger ages and/or higher socioeconomic status. Conversely, we identified two profiles with poorer health characteristics, including one profile with elevated cardiovascular risk. Taken together, these findings enrich our understanding of the emotion paradox and highlight the value of taking a nuanced and stratified approach when studying aging. In the future, aging profiles could be used to target preventative strategies to address modifiable risk factors and improve lifespan and healthspan.

Identifiers

PMID41427301
PMCPMC12712940

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.