Evidence map›Paper›PMID 29354050›Full record

ArticleFrontiers in aging neuroscience2017

Brain Network Modularity Predicts Exercise-Related Executive Function Gains in Older Adults.

Pauline L Baniqued, Courtney L Gallen, Michelle W Voss, Agnieszka Z Burzynska, Chelsea N Wong, Gillian E Cooke, Kristin Duffy, Jason Fanning, Diane K Ehlers, Elizabeth A Salerno and 4 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Nutritional supplementation boosts aerobic exercise effects on functional brain systems.Journal of applied physiology (Bethesda, Md. : 1985) · 2019
    Trial
  7. Article
  8. The Cerebellar Connectome.Cerebellum (London, England) · 2026
    Article
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  17. Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.IEEE transactions on neural networks and learning systems · 2024
    Article
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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

14 authors.

Pauline L BaniquedHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.
Courtney L GallenHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.
Michelle W VossDepartment of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, United States.
Agnieszka Z BurzynskaDepartment of Human Development and Family Studies, Colorado State University, Fort Collins, CO, United States.
Chelsea N WongBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Gillian E CookeBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Kristin DuffyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Jason FanningDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Diane K EhlersDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Elizabeth A SalernoDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Susan AguiñagaDepartment of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Edward McAuleyBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Arthur F KramerBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Mark D'EspositoHelen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA, United States.

Funding

Influence of Fitness on Brain and CognitionR37AG025667 · NIA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI KRAMER, ARTHUR F. · 2005 to 2014
$5.1M
Mechanisms of Neuroplasticity in Functional Brain NetworksR01NS079698 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI D'ESPOSITO, MARK · 2013 to 2017
$1.6M
Influence of Fitness and Cognitive Training on Brain and CognitionR01AG025667 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCAULEY, EDWARD · 2015 to 2015
$497k
EPA EP-D-16-021NIA NIH HHS R01 AG025667NIA NIH HHS R37 AG025667NINDS NIH HHS R01 NS079698
6 · The paper itself

Abstract

Recent work suggests that the brain can be conceptualized as a network comprised of groups of sub-networks or modules. The extent of segregation between modules can be quantified with a modularity metric, where networks with high modularity have dense connections within modules and sparser connections between modules. Previous work has shown that higher modularity predicts greater improvements after cognitive training in patients with traumatic brain injury and in healthy older and young adults. It is not known, however, whether modularity can also predict cognitive gains after a physical exercise intervention. Here, we quantified modularity in older adults (

Indexed as

brain network modularitycognitive controlexecutive functionexercisefunctional connectivity

Identifiers

PMID29354050
PMCPMC5758542

What OpenQuestion holds

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LicenceCC BY
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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.