Dissociation of Reliability, Heritability, and Predictivity in Coarse- and Fine-Scale Functional Connectomes...

Area of Science:

• Neuroscience
• Developmental Neuroscience
• Cognitive Neuroscience

Background:

• The brain's functional connectome operates at multiple spatial scales, influencing information processing and cognition.
• Previous research often focused on coarse-scale connectivity, potentially overlooking finer-scale details relevant to individual differences.

Purpose of the Study:

• To investigate the reliability, heritability, and behavioral relevance of functional brain connectivity at different spatial scales in children.
• To compare fine-scale (vertex-wise) and coarse-scale (parcel-wise) functional connectomes using advanced alignment techniques.

Main Methods:

• Utilized resting-state functional connectivity data from a large cohort of 9-10-year-old children (n=1,115).
• Employed connectivity hyperalignment to enhance fine-scale connectivity analysis.
• Compared the predictive power of fine-scale versus coarse-scale connectomes for cognitive traits.

Main Results:

• Individual differences in fine-scale connectomes were more reliable but less heritable than coarse-scale connectomes.
• Both scales of connectivity predicted cognitive traits, with some less heritable traits better explained by fine-scale connectivity.
• Connectome alignment and scale significantly impacted behavioral prediction.

Conclusions:

• Dissociable individual differences exist in information processing at different functional connectome scales.
• These scale-dependent differences have distinct implications for understanding heritability and cognitive abilities in development.