Evidence map›Paper›PMID 33038808›Full record

ArticleNeurobiology of aging2020

Influence of structural and functional brain connectivity on age-related differences in fluid cognition.

David J Madden, Shivangi Jain, Zachary A Monge, Angela D Cook, Alexander Lee, Hua Huang, Cortney M Howard, Jessica R Cohen

Abstract read
In one paragraph

Article in Neurobiology of aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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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

8 authors.

David J MaddenBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA; Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA. Electronic address: david.madden@duke.edu.
Shivangi JainBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Zachary A MongeBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.
Angela D CookBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Alexander LeeBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Hua HuangBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA.
Cortney M HowardBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA; Center for Cognitive Neuroscience, Duke University, Durham, NC, USA.
Jessica R CohenBrain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA; Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

Neuroimaging of Visual Attention in AgingR01AG039684 · NIA · DUKE UNIVERSITY · PI MADDEN, DAVID J. · 2011 to 2022
$5.0M
Quantitative Susceptibility Mapping of Iron Accumulation in Neurocognitive AgingR56AG052576 · NIA · DUKE UNIVERSITY · PI CHEN, NAN-KUEI, LIU, CHUNLEI · 2017 to 2017
$602k
NIA NIH HHS R01 AG039684NIA NIH HHS R56 AG052576
6 · The paper itself

Abstract

We used graph theoretical measures to investigate the hypothesis that structural brain connectivity constrains the influence of functional connectivity on the relation between age and fluid cognition. Across 143 healthy, community-dwelling adults 19-79 years of age, we estimated structural network properties from diffusion-weighted imaging and functional network properties from resting-state functional magnetic resonance imaging. We confirmed previous reports of age-related decline in the strength and efficiency of structural networks, as well as in the connectivity strength within and between structural network modules. Functional networks, in contrast, exhibited age-related decline only in system segregation, a measure of the distinctiveness among network modules. Aging was associated with decline in a composite measure of fluid cognition, particularly tests of executive function. Functional system segregation was a significant mediator of age-related decline in executive function. Structural network properties did not directly influence the age-related decline in functional system segregation. The raw correlational data underlying the graph theoretical measures indicated that structural connectivity exerts a limited constraint on age-related decline in functional connectivity.

Indexed as

CognitionConnectomeExecutive FunctionAdultAgedAgingBrainDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetRestYoung AdultBrain connectomeExecutive functionGraph theoryMagnetic resonance imagingStatistical mediationSystem segregation

Identifiers

PMID33038808
PMCPMC7722190

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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.