Evidence map›Paper›PMID 40137179›Full record

ArticleeLife2025

Network segregation is associated with processing speed in the cognitively healthy oldest-old.

Sara A Nolin, Mary E Faulkner, Paul Stewart, Leland L Fleming, Stacy Merritt, Roxanne F Rezaei, Pradyumna K Bharadwaj, Mary Kate Franchetti, David A Raichlen, Cortney J Jessup and 14 more

Abstract read
In one paragraph

Article in eLife, 2025. 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. Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

24 authors.

Sara A NolinUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.
Mary E FaulknerUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.
Paul StewartUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.
Leland L FlemingUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.ORCID https://orcid.org/0000-0002-4047-9031
Stacy MerrittUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United States.
Roxanne F RezaeiUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United States.
Pradyumna K BharadwajUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
Mary Kate FranchettiUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
David A RaichlenUniversity of Southern California, Los Angeles, United States.
Cortney J JessupUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
Lloyd EdwardsUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.
G Alex HishawUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
Emily J Van EttenUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
Theodore P TrouardUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
David GeldmacherUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.
Virginia G WadleyUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.
Noam AlperinUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United States.
Eric S PorgesUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United States.
Adam J WoodsUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United States.
Ron A CohenUniversity of Florida and Evelyn F. and William L.McKnight Brain Institute, Gainesville, United States.
Bonnie E LevinUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United States.
Tatjana RundekUniversity of Miami Miller School of Medicine and Evelyn F.McKnight Brain Institute, Miami, United States.
Gene E AlexanderUniversity of Arizona and Evelyn F. McKnightBrain Institute, Tucson, United States.
Kristina M VisscherUniversity of Alabama at Birmingham Heersink School of Medicine and Evelyn F. McKnight Brain Institute, Birmingham, United States.ORCID https://orcid.org/0000-0003-0737-4024

Funding

Adaptive Neuroplasticity Following Central Visual Field Loss in Macular DegenerationF99NS113424 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FLEMING, LELAND · 2019 to 2021
$94k
National Institute of Health/National institute of Neurological Disorder and Stroke T32NS061788-12 07/2008NINDS NIH HHS F99 NS113424NINDS NIH HHS T32NS061788-12 07/2008
6 · The paper itself

Abstract

The brain is organized into systems and networks of interacting components. The functional connections among these components give insight into the brain's organization and may underlie some cognitive effects of aging. Examining the relationship between individual differences in brain organization and cognitive function in older adults who have reached oldest-old ages with healthy cognition can help us understand how these networks support healthy cognitive aging. We investigated functional network segregation in 146 cognitively healthy participants aged 85+ in the McKnight Brain Aging Registry (MBAR). We found that the segregation of the association system and the individual networks within the association system (the fronto-parietal network , cingulo-opercular network, and default mode network), has strong associations with overall cognition and processing speed. We also provide a healthy oldest-old (85+) cortical parcellation that can be used in future work in this age group. This study shows that network segregation of the oldest-old brain is closely linked to cognitive performance. This work adds to the growing body of knowledge about differentiation in the aged brain by demonstrating that cognitive ability is associated with differentiated functional networks in very old individuals representing successful cognitive aging.

Indexed as

AgingBrainCognitionCognitive AgingNerve NetAged, 80 and overFemaleHumansMagnetic Resonance ImagingMaleProcessing Speedcognitive agingdedifferentiationhumannetwork segregationneuroscienceoldest-oldprocessing speed

Identifiers

PMID40137179
PMCPMC12097785

What OpenQuestion holds

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LicenceCC BY
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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.