Evidence map›Paper›PMID 34219221›Full record

ArticlePsychophysiology2021

Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention.

Laura Chaddock-Heyman, Timothy B Weng, Psyche Loui, Caitlin Kienzler, Robert Weisshappel, Eric S Drollette, Lauren B Raine, Daniel Westfall, Shih-Chun Kao, Dominika M Pindus and 4 more

Open access · greenAbstract read
In one paragraph

Article in Psychophysiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 7 institutions in 1 country.

Laura Chaddock-HeymanBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0001-8378-2527
Timothy B WengDepartment of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, USA.
Psyche LouiDepartment of Psychology, Northeastern University, Boston, MA, USA.
Caitlin KienzlerDepartment of Psychology, University of Colorado, Denver, CO, USA.
Robert WeisshappelBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Eric S DrolletteDepartment of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA.
Lauren B RaineDepartment of Psychology, Northeastern University, Boston, MA, USA.
Daniel WestfallDepartment of Psychology, Northeastern University, Boston, MA, USA.ORCID 0000-0002-2376-1465
Shih-Chun KaoHealth and Kinesiology, Purdue University, West Lafayette, IN, USA.ORCID 0000-0001-8880-0851
Dominika M PindusBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0001-7288-7921
Pauline BaniquedHelen Wills Neuroscience Institute, University of California, Berkeley, CA, USA.
Darla M CastelliDepartment of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.
Charles H HillmanDepartment of Psychology, Northeastern University, Boston, MA, USA.
Arthur F KramerBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Northeastern University · USThe University of Texas at Austin · USUniversity of Illinois Urbana-Champaign · USPurdue University West Lafayette · USUniversity of Denver · USUniversity of North Carolina at Greensboro · USUniversity of Southern California · US

Funding

Enhancing Child Cognitive and Brain Health through Physical Activity TrainingR01HD069381 · NICHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI MCAULEY, EDWARD · 2012 to 2016
$3.0M
Gamma-Music Based Intervention for Mild Alzheimer's DiseaseR01AG078376 · NIA · NORTHEASTERN UNIVERSITY · PI Edward W Large, Psyche Loui · 2022 to 2026
$2.7M
SynchronyGamma: A Music-Based Intervention for Alzheimer's and Mild Cognitive ImpairmentR43AG078012 · NIA · OSCILLOSCAPE, LLC · PI LARGE, EDWARD W, LOUI, PSYCHE · 2022 to 2022
$450k
NIA NIH HHS R01 AG078376NIA NIH HHS R43 AG078012NICHD NIH HHS R01 HD069381
6 · The paper itself

Abstract

Individual differences in brain network modularity at baseline can predict improvements in cognitive performance after cognitive and physical interventions. This study is the first to explore whether brain network modularity predicts changes in cortical brain structure in 8- to 9-year-old children involved in an after-school physical activity intervention (N = 62), relative to children randomized to a wait-list control group (N = 53). For children involved in the physical activity intervention, brain network modularity at baseline predicted greater decreases in cortical thickness in the anterior frontal cortex and parahippocampus. Further, for children involved in the physical activity intervention, greater decrease in cortical thickness was associated with improvements in cognitive efficiency. The relationships among baseline modularity, changes in cortical thickness, and changes in cognitive performance were not present in the wait-list control group. Our exploratory study has promising implications for the understanding of brain network modularity as a biomarker of intervention-related improvements with physical activity.

Indexed as

Exercise TherapyCerebral CortexChildChild DevelopmentExerciseFemaleHumansMagnetic Resonance ImagingMaleNerve Netbiomarkersbrainbrain network modularitychildrencortical thicknessinterventionphysical activity

Identifiers

PMID34219221
PMCPMC8419073
OpenAlexW3178649177

What OpenQuestion holds

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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.