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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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Age-related changes in brain structural covariance networks.

Xinwei Li¹, Fang Pu, Yubo Fan

¹State Key Laboratory of Software Development Environment, Beihang University Beijing, China ; Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Department of Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University Beijing, China.

Frontiers in Human Neuroscience

|March 28, 2013

Summary

Brain connectivity patterns reorganize with age, shifting from distributed in youth to localized in middle age, then stabilizing in older adults. This study reveals age-related changes in structural covariance networks, offering insights into normal brain aging.

Keywords:

connectivity neurocognition neuroimaging normal aging sensorimotor structural covariance network

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Area of Science:

Neuroscience
Brain Aging Research
Structural Connectivity

Background:

Normal aging involves cortical reorganization, not just regional changes.
Structural covariance networks (SCNs) map gray matter volume covariance.
Age-related SCN organization changes are largely unknown.

Purpose of the Study:

Investigate how critical SCNs change during normal aging.
Map the topological organization of eight large-scale brain networks across age groups.
Understand age-related shifts in brain structural covariance.

Main Methods:

Utilized a structural covariance network (SCN) mapping approach.
Analyzed 240 healthy participants aged 18-89, divided into young, middle-aged, and older groups.
Examined eight large-scale intrinsic connectivity networks using voxel-based morphometry.

Main Results:

All investigated networks showed non-linear age-related spatial extent changes.
Network topology shifted from distributed (young) to localized (middle-aged) and stable (older adults), except for the primary motor network.
Significant age-group differences observed in language, executive control, and default-mode networks.

Conclusions:

Demonstrates age-related alterations in the topological organization of structural covariance networks.
Provides novel insights into the dynamic changes of brain networks during normal aging.
Highlights non-linear, age-dependent reorganization of cortical structural covariance.