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Updated: Feb 6, 2026

Functional Calcium Imaging in Developing Cortical Networks

Functional Calcium Imaging in Developing Cortical Networks

Published on: October 22, 2011

Spatiotemporal Analysis of Developing Brain Networks.

Ping He¹, Xiaohua Xu¹, Han Zhang²

¹Department of Computer Science, Yangzhou University, Yangzhou, China.

Frontiers in Neuroinformatics

|August 16, 2018

Summary

This study introduces a new method, Developmental Meta-network Decomposition (DMD), to analyze brain development. DMD reveals how human brain connectivity networks change dynamically from childhood to adolescence.

Keywords:

cortical thickness developmental meta-network decomposition developmental networks non-negative matrix factorization structural correlation networks

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Modeling the Functional Network for Spatial Navigation in the Human Brain

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Published on: October 13, 2023

Area of Science:

Neuroscience
Computational Biology
Developmental Psychology

Background:

Magnetic Resonance Imaging (MRI) advances facilitate the study of human brain connectivity.
Computational methods are crucial for understanding the developing brain's complex spatiotemporal dynamics.

Purpose of the Study:

To introduce a novel method, Developmental Meta-network Decomposition (DMD), for analyzing developmental changes in brain networks.
To overcome limitations of static network analysis by capturing dynamic connectivity changes.

Main Methods:

Developed the Developmental Meta-network Decomposition (DMD) method.
Applied DMD to structural correlation networks of cortical thickness in subjects aged 3-20 years.
Identified and analyzed Developmental Meta-networks (DMs) and their evolution across developmental stages.

Main Results:

Identified four distinct Developmental Meta-networks (DMs) that evolve smoothly across three age stages (3-6, 7-12, 13-20 years).
Characterized the specific connections within each DM in relation to brain development.
Demonstrated DMD's capability to capture spatiotemporal dynamics of developmental networks.

Conclusions:

DMD offers a powerful exploratory approach to understand dynamic changes in brain connectivity during development.
The identified DMs provide insights into the evolving structural connectome from childhood through adolescence.
This method advances the analysis of neurodevelopmental trajectories.