Journal article
Scholastic performance and functional connectivity of brain networks in children
PloS one, Vol.13(1), pp.e0190073-e0190073
2018
DOI: 10.1371/journal.pone.0190073
PMCID: PMC5783351
PMID: 29364911
Abstract
One of the keys to understanding scholastic success is to determine the neural processes involved in school performance. The present study is the first to use a whole-brain connectivity approach to explore whether functional connectivity of resting state brain networks is associated with scholastic performance in seventy-four 7- to 9-year-old children. We demonstrate that children with higher scholastic performance across reading, math and language have more integrated and interconnected resting state networks, specifically the default mode network, salience network, and frontoparietal network. To add specificity, core regions of the dorsal attention and visual networks did not relate to scholastic performance. The results extend the cognitive role of brain networks in children as well as suggest the importance of network connectivity in scholastic success.
Details
- Title: Subtitle
- Scholastic performance and functional connectivity of brain networks in children
- Creators
- Laura Chaddock-Heyman - Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of AmericaTimothy B Weng - Department of Psychology, University of Iowa, Iowa City, Iowa, United States of AmericaCaitlin Kienzler - Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of AmericaKirk I Erickson - Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of AmericaMichelle W Voss - Department of Psychology, University of Iowa, Iowa City, Iowa, United States of AmericaEric S Drollette - Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, North Carolina, United States of AmericaLauren B Raine - Northeastern University, Department of Psychology, Boston, Massachusetts, United States of AmericaShih-Chun Kao - Northeastern University, Department of Psychology, Boston, Massachusetts, United States of AmericaCharles H Hillman - Northeastern University, Department of Health Sciences, Boston, Massachusetts, United States of AmericaArthur F Kramer - Northeastern University, Office of the Provost, Boston, Massachusetts, United States of America
- Resource Type
- Journal article
- Publication Details
- PloS one, Vol.13(1), pp.e0190073-e0190073
- DOI
- 10.1371/journal.pone.0190073
- PMID
- 29364911
- PMCID
- PMC5783351
- NLM abbreviation
- PLoS One
- ISSN
- 1932-6203
- eISSN
- 1932-6203
- Publisher
- Public Library of Science; United States
- Grant note
- HD069381 / NIH HHS
- Language
- English
- Date published
- 2018
- Academic Unit
- Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984002359302771
Metrics
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