Commonality and variability in functional networks in children under 5 years old

Area of Science:

• Neuroscience
• Developmental Neuroscience
• Cognitive Neuroscience

Background:

• Human cognition relies on functional brain networks.
• The emergence of individualized network architecture in early childhood is not well understood.
• Standard averaging methods obscure crucial age-specific and individual differences in developing brains.

Purpose of the Study:

• To develop an age-appropriate functional reference for estimating individualized brain networks in toddlers.
• To investigate the emergence and stability of brain network organization in early childhood.
• To link early functional brain architecture to cognitive development.

Main Methods:

• Developed an age-appropriate functional reference using resting-state fMRI data from 8-60-month-old children.
• Estimated individualized functional brain networks, avoiding group-averaging.
• Analyzed longitudinal stability and within-network connectivity.
• Correlated language network lateralization with verbal ability.

Main Results:

• Individualized brain network organization, including subdivisions and language lateralization, was identified before age five.
• Network layouts demonstrated longitudinal stability, more so in sensory than association regions.
• Individualized network definitions improved explanation of age-related variance compared to group-consensus methods.
• Left-lateralization of language networks correlated with age-normalized verbal ability.

Conclusions:

• Behaviorally relevant brain networks develop much earlier than previously thought.
• Individualized network architecture provides a foundation for studying typical development and identifying early biomarkers.
• Early functional brain organization is linked to emerging cognitive abilities.