Frontoparietal and default mode network connectivity varies with age and intelligence.
Mariah DeSerisy1, Bruce Ramphal2, David Pagliaccio2
1The Division of Child and Adolescent Psychiatry, Columbia University Irving Medical Center, United States; Fordham University, United States.
Brain network connectivity matures with age, shifting from positive to negative correlations between task-positive (FP) and task-negative (DMN) networks. This developmental shift in neural networks is linked to higher intelligence quotient (IQ) in youth.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Cognitive Neuroscience
Background:
- Resting-state functional connectivity (rsFC) between task-positive (frontoparietal; FP) and task-negative (default mode; DMN) networks differs between adults and children.
- Adults exhibit anticorrelated FP-DMN connectivity, supporting cognitive flexibility, while children show positive correlations.
- FP-DMN connectivity is associated with intellectual functioning across the lifespan.
Purpose of the Study:
- To investigate age-related changes in FP-DMN connectivity in healthy children and adolescents.
- To examine the association between FP-DMN connectivity and intelligence quotient (IQ) in this age group.
Main Methods:
- Utilized network-based statistics (NBS) to analyze rsFC between FP and DMN in 133 participants aged 7-25 years.
- Employed linear regression to assess the relationship between FP-DMN connectivity and IQ.
Main Results:
- Identified NBS subnetworks with age-inverse associations, revealing more negative FP-DMN connectivity in older participants.
- Specifically, four FP-DMN connections, including frontal pole-precentral gyrus, showed decreased connectivity with age.
- Frontal pole-precentral gyrus connectivity was inversely associated with IQ.
Conclusions:
- FP-DMN connectivity becomes more anticorrelated with age, suggesting dynamic network segregation during development from childhood to early adulthood.
- More mature, anticorrelated FP-DMN connectivity in youth correlates with higher IQ.
- Findings contribute to understanding neural network development and its link to cognitive abilities.
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