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

Area of Science:

• Neuroscience
• Developmental Psychology
• Cognitive Science

Background:

• Individual differences in brain network modularity predict cognitive improvements after interventions.
• Brain network modularity's role in predicting structural brain changes remains underexplored, particularly in children.

Purpose of the Study:

• To investigate if baseline brain network modularity predicts changes in cortical brain structure in children participating in a physical activity intervention.
• To examine the relationship between brain network modularity, cortical thickness changes, and cognitive efficiency improvements in children.

Main Methods:

• Exploratory study involving 8- to 9-year-old children.
• Intervention group (N=62) participated in an after-school physical activity program.
• Control group (N=53) was wait-listed; brain network modularity and cortical thickness were assessed at baseline.

Main Results:

• In the physical activity group, baseline brain network modularity predicted decreased cortical thickness in the anterior frontal cortex and parahippocampus.
• Greater cortical thickness decrease correlated with improved cognitive efficiency in the intervention group.
• These associations were not observed in the wait-list control group.

Conclusions:

• Brain network modularity may serve as a biomarker for intervention-related cognitive and structural brain changes in children.
• Physical activity interventions show potential for modulating brain structure and cognitive function, with baseline modularity indicating responsiveness.
• This study highlights the link between brain network organization, structural plasticity, and cognitive benefits from physical activity in children.