Evidence map›Paper›PMID 40009298›Full record

ArticleGeroScience2025

Decoding cognitive aging: how white matter tracts and demographics distinguish potential Super-Agers.

Mohammad Fili, Parvin Mohammadiarvejeh, Guiping Hu, Auriel A Willette

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Mohammad FiliSchool of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, 74078, USA. mohammad.fili@okstate.edu.ORCID 0000-0001-6939-4157
Parvin MohammadiarvejehInstitute for Health Computing, University of Maryland Medical System, Linthicum, MD, 21090, USA.
Guiping HuSchool of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, 74078, USA.
Auriel A WilletteDepartment of Neurology, Rutgers University, New Brunswick, NJ, 08901, USA.

Funding

Puberty-related development of fronto-amygdala circuitry in anxious youth: A multimodal neuroimaging study with ultra-high resolution MRI scanner (7T) - SupplementR01MH126979 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LADOUCEUR, CECILE D. · 2021 to 2025
$3.8M
Insulin Resistance, Biomarkers of Brain Function, and Intermittent Calorie RestrictionR00AG047282 · NIA · IOWA STATE UNIVERSITY · PI WILLETTE, AURIEL · 2016 to 2021
$730k
Improving functional MRI Analysis via Integrated One-Step Tensor-variate MethodologyR21EB034184 · NIBIB · IOWA STATE UNIVERSITY · PI MAITRA, RANJAN · 2022 to 2023
$418k
Alzheimer's Association AARGD-22-974591NIA NIH HHS R00 AG047282NIBIB NIH HHS R21 EB034184NIH HHS R00 AG047282NIH HHS R01MH126979NIH HHS R21EB034184NIMH NIH HHS R01 MH126979
6 · The paper itself

Abstract

Most adults experience age-related cognitive decline. However, "Positive-Agers" exhibit superior cognition compared to their age-matched peers. Distinguishing between those with superior cognitive performance and those with cognitive decline over time could better inform treatment therapies in older adults. We developed an algorithm called Optimal Cognitive Scoring (OptiCS) that accurately differentiates "Positive-Agers" from "Cognitive Decliners." This study draws on a cohort of 5797 participants longitudinally enrolled in the UK Biobank. Using a predictive pipeline, OptiCS could strongly differentiate Positive-Agers versus Cognitive Decliners (area under the curve, or AUC of 83%). The top diffusion MRI attributes highlighted tracts implicated in pathological aging, including the fornix from the hippocampus, the tapetum from the splenium of the corpus callosum, and other key tracts. This study provides three key insights: (I) The proposed algorithm offers a robust cognitive scoring system for subtle cognitive changes, (II) OptiCS can use diffusion MRI to accurately gauge cognitive performance, and (III) OptiCS provides a predictive framework for early detection of cognitive decline.

Indexed as

Cognitive AgingCognitive DysfunctionWhite MatterAgedAged, 80 and overAlgorithmsDiffusion Magnetic Resonance ImagingFemaleHumansLongitudinal StudiesMaleMiddle AgedCognitive classificationCognitive scoringDiffusion magnetic resonance imaging (dMRI)Positive-AgersSuper-AgersUK Biobank

Identifiers

PMID40009298
PMCPMC12181581

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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.