Evidence map›Paper›PMID 30953834›Full record

ArticleNeuroImage2019

Distinct patterns of default mode and executive control network circuitry contribute to present and future executive function in older adults.

Christopher A Brown, Frederick A Schmitt, Charles D Smith, Brian T Gold

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Longitudinal Changes in Infant Attention-Related Brain Networks and Fearful Temperament.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
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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.

Christopher A BrownDepartment of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA.
Frederick A SchmittSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA; Department of Neurology, University of Kentucky, Lexington, KY, 40536, USA; Department of Psychiatry, University of Kentucky, Lexington, KY, 40536, USA.
Charles D SmithSanders-Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA; Department of Neurology, University of Kentucky, Lexington, KY, 40536, USA; Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, 40536, USA.
Brian T GoldDepartment of Neuroscience, University of Kentucky, Lexington, KY, 40536, USA; Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY, 40536, USA; Magnetic Resonance Imaging and Spectroscopy Center, University of Kentucky, Lexington, KY, 40536, USA. Electronic address: brian.gold@uky.edu.

Funding

University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2006 to 2020
$23.3M
TRANSGENIC MOUSE COREP01AG030128 · NIA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WEEBER, EDWIN JOHN · 2009 to 2013
$9.4M
NRSA Training CoreTL1TR001997 · NCATS · UNIVERSITY OF KENTUCKY · PI PENDERGAST, JULIE S, STOOPS, WILLIAM WALTON · 2016 to 2025
$4.2M
Identifying Associations between Brain Iron, Neurocognitive Networks and Protective FactorsR01AG068055 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY · 2021 to 2025
$2.8M
Contributions of Alzheimer's Pathology and Cerebrovascular Factors to Cognitive AgingR01AG055449 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY · 2017 to 2021
$2.3M
The effects of bilingualism on age-related cognitive and neurobiological declinesR01AG033036 · NIA · UNIVERSITY OF KENTUCKY · PI GOLD, BRIAN TIMOTHY · 2009 to 2013
$1.5M
NCATS NIH HHS TL1 TR001997NIA NIH HHS P01 AG030128NIA NIH HHS P30 AG028383NIA NIH HHS R01 AG033036NIA NIH HHS R01 AG055449NIA NIH HHS R01 AG068055
6 · The paper itself

Abstract

Executive function (EF) performance in older adults has been linked with functional and structural profiles within the executive control network (ECN) and default mode network (DMN), white matter hyperintensities (WMH) burden and levels of Alzheimer's disease (AD) pathology. Here, we simultaneously explored the unique contributions of these factors to baseline and longitudinal EF performance in older adults. Thirty-two cognitively normal (CN) older adults underwent neuropsychological testing at baseline and annually for three years. Neuroimaging and AD pathology measures were collected at baseline. Separate linear regression models were used to determine which of these variables predicted composite EF scores at baseline and/or average annual change in composite ΔEF scores over the three-year follow-up period. Results demonstrated that low DMN deactivation, high ECN activation and WMH burden were the main predictors of EF scores at baseline. In contrast, poor DMN and ECN WM microstructure and higher AD pathology predicted greater annual decline in EF scores. Subsequent mediation analysis demonstrated that DMN WM microstructure uniquely mediated the relationship between AD pathology and ΔEF. These results suggest that functional activation patterns within the DMN and ECN and WMHs contribute to baseline EF while structural connectivity within these networks impact longitudinal EF performance in older adults.

Indexed as

AgedAged, 80 and overAgingAlzheimer DiseaseBrainBrain MappingExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleNeural PathwaysWhite Matter

Identifiers

PMID30953834
PMCPMC6536351

What OpenQuestion holds

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LicenceTDM
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.