Evidence map›Paper›PMID 25520639›Full record

ArticleFrontiers in human neuroscience2014

Changes in global and regional modularity associated with increasing working memory load.

Matthew L Stanley, Dale Dagenbach, Robert G Lyday, Jonathan H Burdette, Paul J Laurienti

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 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

5 authors.

Matthew L StanleyLaboratory for Complex Brain Networks, Wake Forest University School of Medicine Winston-Salem, NC, USA.
Dale DagenbachLaboratory for Complex Brain Networks, Wake Forest University School of Medicine Winston-Salem, NC, USA ; Department of Psychology, Wake Forest University Winston-Salem, NC, USA.
Robert G LydayLaboratory for Complex Brain Networks, Wake Forest University School of Medicine Winston-Salem, NC, USA.
Jonathan H BurdetteLaboratory for Complex Brain Networks, Wake Forest University School of Medicine Winston-Salem, NC, USA ; Department of Radiology, Wake Forest University School of Medicine Winston-Salem, NC, USA.
Paul J LaurientiLaboratory for Complex Brain Networks, Wake Forest University School of Medicine Winston-Salem, NC, USA ; Department of Radiology, Wake Forest University School of Medicine Winston-Salem, NC, USA.

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Jamie Nicole Justice · 2002 to 2026
$36.4M
NIA NIH HHS P30 AG021332
6 · The paper itself

Abstract

Using graph theory measures common to complex network analyses of neuroimaging data, the objective of this study was to explore the effects of increasing working memory processing load on functional brain network topology in a cohort of young adults. Measures of modularity in complex brain networks quantify how well a network is organized into densely interconnected communities. We investigated changes in both the large-scale modular organization of the functional brain network as a whole and regional changes in modular organization as demands on working memory increased from n = 1 to n = 2 on the standard n-back task. We further investigated the relationship between modular properties across working memory load conditions and behavioral performance. Our results showed that regional modular organization within the default mode and working memory circuits significantly changed from 1-back to 2-back task conditions. However, the regional modular organization was not associated with behavioral performance. Global measures of modular organization did not change with working memory load but were associated with individual variability in behavioral performance. These findings indicate that regional and global network properties are modulated by different aspects of working memory under increasing load conditions. These findings highlight the importance of assessing multiple features of functional brain network topology at both global and regional scales rather than focusing on a single network property.

Indexed as

complex networkfMRIgraph theorymodularityn-backworking memoryworking memory load

Identifiers

PMID25520639
PMCPMC4249452

What OpenQuestion holds

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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.