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Related Experiment Video

Updated: Jun 7, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Development of the brain's functional network architecture.

Alecia C Vogel¹, Jonathan D Power, Steven E Petersen

¹Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA. vogela@wustl.edu

Neuropsychology Review

|October 27, 2010

Summary

This summary is machine-generated.

Brain functional networks mature from local to long-range connections during development. This shift involves separating local brain regions and integrating distant ones into distinct subnetworks, revealed by resting-state functional connectivity MRI.

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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Published on: November 8, 2012

Area of Science:

Neuroscience
Developmental Neuroscience
Cognitive Neuroscience

Background:

Understanding brain development requires examining both regional processing and inter-regional interactions.
Resting state functional connectivity MRI (rs-fcMRI) is a key tool for studying these interactions in children and adults.

Purpose of the Study:

To review methods for studying functional interactions and networks using rs-fcMRI.
To outline developmental changes in functional network connectivity based on rs-fcMRI studies.

Main Methods:

Review of methodologies applied to rs-fcMRI data.
Analysis of existing rs-fcMRI studies focusing on developmental changes in brain networks.

Main Results:

Brain functional connectivity shifts from local to long-range interactions during development.
Developmental changes involve segregation of local brain regions and integration of distant regions into subnetworks.

Conclusions:

Brain network architecture undergoes significant transformation from childhood to adulthood.
Rs-fcMRI provides crucial insights into the developmental trajectory of functional brain networks.