Journal article
Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention
Psychophysiology, Vol.58(10), pp.e13890-n/a
10/2021
DOI: 10.1111/psyp.13890
PMCID: PMC8419073
PMID: 34219221
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.
The present study is the first to show that brain network modularity at baseline predicted change in brain structure in children involved in a physical activity intervention. Further, intervention‐related changes in cortical thickness were associated with changes in cognition. The associations between modularity, change in cortical thickness, and cognition were not present in a wait‐list control group. The results have implications for modularity as a biomarker of intervention‐related changes with physical activity.
Details
- Title: Subtitle
- Brain network modularity predicts changes in cortical thickness in children involved in a physical activity intervention
- Creators
- Laura Chaddock-Heyman - Northeastern UniversityTimothy B. Weng - The University of Texas at AustinPsyche Loui - Northeastern UniversityCaitlin Kienzler - University of Colorado DenverRobert Weisshappel - University of Illinois Urbana-ChampaignEric S. Drollette - University of North Carolina at GreensboroLauren B. Raine - Northeastern UniversityDaniel Westfall - Northeastern UniversityShih‐Chun Kao - Purdue University West LafayetteDominika M. Pindus - University of Illinois Urbana-ChampaignPauline Baniqued - University of California, BerkeleyDarla M. Castelli - The University of Texas at AustinCharles H. Hillman - Northeastern UniversityArthur F. Kramer - Northeastern University
- Resource Type
- Journal article
- Publication Details
- Psychophysiology, Vol.58(10), pp.e13890-n/a
- DOI
- 10.1111/psyp.13890
- PMID
- 34219221
- PMCID
- PMC8419073
- NLM abbreviation
- Psychophysiology
- ISSN
- 0048-5772
- eISSN
- 1540-5958
- Number of pages
- 14
- Grant note
- National Institutes of Health (HD069381)
- Language
- English
- Date published
- 10/2021
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984627339702771
Metrics
16 Record Views