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Brain-behavior correlation in children depends on the neurocognitive network.
James R Booth1, Douglas D Burman, Joel R Meyer
1Department of Communication Sciences and Disorders, Northwestern University, Evanston, Illinois 60208, USA. j-booth@northwestern.edu
Human Brain Mapping
|September 2, 2004
Summary
Brain activity and task performance in children show complex relationships. Better response inhibition correlated with higher brain activation, while better visual search correlated with lower activation.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Developmental Neuroscience
Background:
- Understanding brain-behavior correlations is crucial for developmental neuroscience.
- Selective attention and response inhibition are key executive functions.
- Neuroimaging studies in children provide insights into cognitive development.
Purpose of the Study:
- To investigate brain-behavior correlations in children during selective attention and response inhibition tasks.
- To determine how functional magnetic resonance imaging (fMRI) activation relates to performance in these distinct cognitive domains.
- To explore potential differences in neural activation patterns between tasks in a pediatric sample.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was used to measure brain activation.
- Twelve children (aged 9.3-11.7 years) completed a visual search task (selective attention) and a no-go task (response inhibition).
- Correlations between task performance and brain activation were analyzed.
Main Results:
- Performance on the response inhibition task positively correlated with activation in the prefrontal cortex and basal ganglia.
- Performance on the selective attention task negatively correlated with activation in the superior parietal lobule and lateral premotor cortex.
- The relationship between brain activation and performance varied significantly across neurocognitive networks.
Conclusions:
- The association between neural activation and cognitive performance is complex and domain-specific.
- Different cognitive tasks recruit distinct neural networks with potentially inverse relationships between activation magnitude and performance.
- These findings highlight the intricate interplay of brain networks in cognitive function during development.