A DTI-based template-free cortical connectome study of brain maturation

Area of Science:

• Neuroimaging
• Developmental Neuroscience
• Computational Neuroscience

Background:

• Understanding macroscale human brain wiring is crucial for neuroscience.
• Mapping developing infant brain networks using MRI connectomics presents significant challenges.
• Existing methods may not adequately capture the dynamic changes in early brain development.

Purpose of the Study:

• To develop and apply an automated, template-free framework for mapping structural brain networks in infants using diffusion MRI.
• To investigate age-related changes in brain network integration and segregation from neonates to adults.
• To explore network-driven approaches for brain connectivity analysis.

Main Methods:

• Application of an automated, template-free "baby connectome" framework.
• Utilizing diffusion MRI for non-invasive structural brain network mapping.
• Analysis of subjects across various age groups: premature neonates, term-born neonates, six-month-old infants, and adults.

Main Results:

• Observed increasing brain network integration with age in term-born subjects.
• Documented decreasing brain network segregation with age in term-born subjects.
• Demonstrated a method for grouping network nodes into modules without prior anatomical information.

Conclusions:

• The developed "baby connectome" framework enables non-invasive mapping of infant brain networks.
• Brain network integration increases while segregation decreases with age during development.
• The study advances network-driven analysis for brain connectivity, crucial for understanding brain wiring.