Evidence map›Paper›PMID 38856933›Full record

ArticleBrain structure & function2024

Age-related differences in resting-state, task-related, and structural brain connectivity: graph theoretical analyses and visual search performance.

David J Madden, Jenna L Merenstein, Hollie A Mullin, Shivangi Jain, Marc D Rudolph, Jessica R Cohen

Erratum issuedAbstract read
In one paragraph

Article in Brain structure & function, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

David J MaddenBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA. david.madden@duke.edu.ORCID http://orcid.org/0000-0003-2815-6552
Jenna L MerensteinBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
Hollie A MullinBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
Shivangi JainBrain Imaging and Analysis Center, Duke University Medical Center, Box 3918, Durham, NC, 27710, USA.
Marc D RudolphDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA.
Jessica R CohenDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27514, USA.

Funding

Research Education Component CoreP30AG072958 · NIA · DUKE UNIVERSITY · PI Maria Marquine · 2021 to 2026
$24.1M
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
High-resolution diffusion imaging of brain connectivity in healthy aging and Alzheimer's diseaseF32AG084167 · NIA · DUKE UNIVERSITY · PI MERENSTEIN, JENNA L · 2024 to 2025
$91k
NIA NIH HHS F32 AG084167NIA NIH HHS P30 AG072958NIA NIH HHS R01 AG039684NIA NIH HHS R56 AG052576
6 · The paper itself

Abstract

Previous magnetic resonance imaging (MRI) research suggests that aging is associated with a decrease in the functional interconnections within and between groups of locally organized brain regions (modules). Further, this age-related decrease in the segregation of modules appears to be more pronounced for a task, relative to a resting state, reflecting the integration of functional modules and attentional allocation necessary to support task performance. Here, using graph-theoretical analyses, we investigated age-related differences in a whole-brain measure of module connectivity, system segregation, for 68 healthy, community-dwelling individuals 18-78 years of age. We obtained resting-state, task-related (visual search), and structural (diffusion-weighted) MRI data. Using a parcellation of modules derived from the participants' resting-state functional MRI data, we demonstrated that the decrease in system segregation from rest to task (i.e., reconfiguration) increased with age, suggesting an age-related increase in the integration of modules required by the attentional demands of visual search. Structural system segregation increased with age, reflecting weaker connectivity both within and between modules. Functional and structural system segregation had qualitatively different influences on age-related decline in visual search performance. Functional system segregation (and reconfiguration) influenced age-related decline in the rate of visual evidence accumulation (drift rate), whereas structural system segregation contributed to age-related slowing of encoding and response processes (nondecision time). The age-related differences in the functional system segregation measures, however, were relatively independent of those associated with structural connectivity.

Indexed as

AgingBrainBrain MappingMagnetic Resonance ImagingRestAdolescentAdultAgedAttentionFemaleHumansMaleMiddle AgedNeural PathwaysVisual PerceptionYoung AdultAgingAttentionBrain networksCognitionMRIVisual perception

Identifiers

PMID38856933
PMCPMC11374505

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.