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Evolving Brain Network Dynamics In Early Childhood: Insights From Modular Graph Metrics.

Home
Research Domains
Human Society
Development Studies
Urban Community Development
Evolving Brain Network Dynamics In Early Childhood: Insights From Modular Graph Metrics.

Related Experiment Video

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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Published on: May 7, 2014

Evolving brain network dynamics in early childhood: Insights from modular graph metrics.

Zeyu Song¹, Zhenqi Jiang¹, Zhao Zhang¹

¹School of Medical Technology, Beijing Institute of Technology Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing 100081, PR China.

|July 24, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Brain network interactions become more specialized during early childhood, shifting from global integration to local processing. This development impacts information transmission efficiency, with the salience network playing a key role.

Keywords:

Brain development Dynamic functional connectivity Graph theory Mediation analysis

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Published on: March 21, 2019

Area of Science:

Neuroscience
Developmental Neuroscience
Network Science

Background:

Modular dynamic graph theory metrics capture brain development patterns.
Existing research lacks understanding of cross-community changes in early childhood functional networks and their impact on information transmission efficiency.

Purpose of the Study:

To trace cross-community structural changes in early childhood functional networks.
To model the contributions of these changes to information transmission efficiency.

Main Methods:

Analysis of 194 functional MRI scans from 83 children (ages 2-8 years).
Utilized sliding windows, modular algorithms, and spatiotemporal/centrality metrics.
Employed mixed-effects linear models and mediation analysis.

Sliding time window

Main Results:

Significant age-related increases in temporal flexibility (DMN, ECN, SN) and SN spatiotemporal diversity.
Decreased within-community diversity in the language network, indicating specialization.
Increased between-community centrality (DMN, ECN, SN, language, dorsal attention networks).
SN dynamics mediated age-related changes in global efficiency, while multiple networks mediated local efficiency changes.

Conclusions:

Early childhood brain development shows a shift from global integration to local segregation in information processing.
The salience network is crucial in this developmental transformation.
Cross-community network adjustments significantly influence information transmission efficiency during development.