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Updated: Aug 21, 2025

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

Understanding cognitive control in aging: A brain network perspective.

Haishuo Xia¹, Qinghua He¹, Antao Chen²

¹Faculty of Psychology, Southwest University, Chongqing, China.

Frontiers in Aging Neuroscience

|November 17, 2022

Summary

This summary is machine-generated.

Cognitive control decline in older adults is linked to aging-related changes in brain networks. Structural network integrity influences functional connectivity, impacting cognitive function and goal-directed abilities.

Keywords:

aging cognitive control executive function functional connectivity functional network neural network mechanisms structural network

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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
Aging Research
Cognitive Science

Background:

Cognitive control decline is a hallmark of brain aging, impairing goal-directed abilities in older adults.
Previous research focused on regional brain activation changes (frontal, parietal, occipital lobes) but often overlooked network connectivity.
An integrated understanding requires examining structural and functional connectivity within large-scale brain networks.

Purpose of the Study:

To review the role of aging-related changes in functional brain networks (segregation, integration, antagonism) on cognitive control.
To explore how structural network integrity influences functional connectivity and cognitive control in aging.
To propose an integrated framework for understanding cognitive control decline in aging.

Main Methods:

Review of magnetic resonance imaging (MRI) evidence on brain aging and cognitive control.
Discussion of large-scale network dynamics, including functional segregation, integration, and antagonism.
Analysis of the interplay between structural and functional brain networks.

Main Results:

Disrupted spontaneous network organization, impaired information co-processing, and increased endogenous interference contribute to cognitive control decline.
Structural network damage can weaken functional connectivity, leading to cognitive decline.
Intact structural networks can support compensatory functional connectivity to mitigate cognitive impairment.

Conclusions:

Age-related changes in functional networks are influenced by structural networks in cognitive control during aging (CCA).
Viewing the brain as a multimodal networked system provides an integrative framework for understanding cognitive control decline in aging.
Understanding network interactions is crucial for addressing cognitive aging challenges.