4.5 Article

Development of the Default Mode and Central Executive Networks across early adolescence: A longitudinal study

Journal

DEVELOPMENTAL COGNITIVE NEUROSCIENCE
Volume 10, Issue -, Pages 148-159

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.dcn.2014.08.002

Keywords

Adolescent brain development; Functional connectivity; Default Mode Network; Central Executive Network; Intelligence; Early adolescence

Funding

  1. Santa Fe Institute Consortium
  2. FPR-UCLA Center for Culture, Brain, and Development Award
  3. Brain Mapping Medical Research Organization
  4. Brain Mapping Support Foundation
  5. Pierson-Lovelace Foundation
  6. Ahmanson Foundation
  7. Tamkin Foundation
  8. Jennifer Jones-Simon Foundation
  9. Capital Group Companies Charitable Foundation
  10. Robson Family
  11. William M. and Linda R. Dietel Philanthropic Fund at the Northern Piedmont Community Foundation
  12. Northstar Fund
  13. National Center for Research Resources, a component of the National Institutes of Health [RR12169, RR13642, RR00865]

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The mature brain is organized into distinct neural networks defined by regions demonstrating correlated activity during task performance as well as rest. While research has begun to examine differences in these networks between children and adults, little is known about developmental changes during early adolescence. Using functional magnetic resonance imaging (fMRI), we examined the Default Mode Network (DMN) and the Central Executive Network (CEN) at ages 10 and 13 in a longitudinal sample of 45 participants. In the DMN, participants showed increasing integration (i.e., stronger within-network correlations) between the posterior cingulate cortex (PCC) and the medial prefrontal cortex. During this time frame participants also showed increased segregation (i.e., weaker between-network correlations) between the PCC and the CEN. Similarly, from age 10 to 13, participants showed increased connectivity between the dorsolateral prefrontal cortex and other CEN nodes, as well as increasing DMN segregation. IQwas significantly positively related to CEN integration at age 10, and between-network segregation at both ages. These findings highlight early adolescence as a period of significant maturation for the brain's functional architecture and demonstrate the utility of longitudinal designs to investigate neural network development. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http:creativecommons.org/licenses/by-nc-nd/3.0/).

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