Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional...

Area of Science:

• Neuroscience
• Developmental Neuroscience
• Cognitive Neuroscience

Background:

• Brain structure maturation exhibits both linear and nonlinear patterns.
• Socioeconomic status is known to influence childhood brain development.
• Few studies have investigated developmental patterns using functional brain measures.

Purpose of the Study:

• To examine linear and nonlinear development of brain connectivity.
• To utilize resting-state functional magnetic resonance imaging (rs-fMRI) data.
• To analyze cross-sectional data from a large cohort of children and adolescents.

Main Methods:

• Collected cross-sectional rs-fMRI data from 368 subjects aged 3-21 years.
• Applied a clustering approach to identify distinct developmental patterns.
• Characterized functional brain connectivity development into linear and nonlinear groups.

Main Results:

• Identified multiple distinct linear and nonlinear patterns in functional brain development.
• Demonstrated that brain connectivity does not necessarily stabilize after a specific age.
• Revealed heterogeneity in the developmental trajectories of brain connectivity.

Conclusions:

• Functional brain development is characterized by diverse linear and nonlinear trajectories.
• Assuming a uniform stabilization of brain connectivity is potentially inaccurate.
• Future research should consider the multifaceted nature of brain development.