Evidence map›Paper›PMID 42780438›Full record

ArticleFrontiers in aging neuroscience2026

Functional brain network connectivity patterns associated with midlife metabolic syndrome and cognitive vulnerabilities.

Isabelle Gallagher, Makenna B McGill, David M Schnyer, Andreana P Haley

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 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

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.

Isabelle Gallagher *Department of Psychology, The University of Texas at Austin, Austin, TX, United States.
Makenna B McGill *Department of Psychology, The University of Texas at Austin, Austin, TX, United States.
David M SchnyerDepartment of Psychology, University of Rhode Island, Kingston, RI, United States.
Andreana P HaleyDepartment of Psychology, The University of Texas at Austin, Austin, TX, United States.

Funding

Neuroimaging Cognitive Vulnerability in HypertensionR01NS075565 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI HALEY, ANDREANA PETROVA · 2011 to 2013
$986k
Cognitive Enhancement Through Transcranial Laser TherapyR21AG050898 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI HALEY, ANDREANA PETROVA · 2016 to 2017
$426k
NIA NIH HHS R21 AG050898NINDS NIH HHS R01 NS075565
6 · The paper itself

Abstract

Objective: Metabolic syndrome (MetS) may amplify neural vulnerability via vascular and inflammatory pathways. Existing literature suggests there are alterations to functional brain network organization in adults with MetS, though the specific patterns and their relation to cognitive vulnerabilities warrant further investigation, particularly in a midlife sample. Method: Cognitively unimpaired, community-dwelling adults ( Results: MetS participants showed reduced within-network connectivity in the default mode network (DMN; adjusted Conclusion: Midlife MetS was associated with modest reductions in within-network DMN connectivity, with abdominal obesity and low HDL cholesterol as the primary contributing MetS components. Reduced DMN connectivity was associated with poorer verbal fluency performance. These findings suggest that subtle differences in higher-order functional brain network organization associated with metabolic syndrome can be detected during midlife and are related to cognitive functioning, highlighting the importance of prevention and intervention of cardiometabolic risk in midlife to preserve network integrity and cognitive health.

Indexed as

cognitive agingdefault mode networkfunctional connectivitymetabolic syndromeresting-state fMRI

Identifiers

PMID42780438
PMCPMC13598075

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.