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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 Differences in Speech Production and Resting State Functional Network Dynamics.

Haoyun Zhang^1,2, Keikei Lei^1,2, Hanxiang Yu^1,2

¹Centre for Cognitive and Brain Sciences, University of Macau, Taipa, Macau SAR, China.

Neurobiology of Language (Cambridge, Mass.)

|March 13, 2026

Summary

This summary is machine-generated.

Older adults show poorer speech production linked to altered brain networks. Resting state brain activity, especially whole-brain network patterns, may indicate age-related speech changes.

Keywords:

ALFF aging brain networks functional connectivity resting state fMRI speech production

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Cerebral Blood Flow-Based Resting State Functional Connectivity of the Human Brain using Optical Diffuse Correlation Spectroscopy

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Published on: May 27, 2020

Area of Science:

Neuroscience
Cognitive Science
Speech Science

Background:

Cognitive function declines with age, impacting brain activity and network organization.
Speech production is sensitive to age-related neurological changes.

Purpose of the Study:

To investigate the relationship between resting state brain activity and age-related speech production differences.
To determine if altered brain network connectivity and activation intensity correlate with reduced speech quality in older adults.

Main Methods:

Resting state functional MRI data were acquired from younger and older adults.
A composite measure of speech complexity and fluency was calculated.
Brain network segregation, amplitude of low-frequency fluctuations, and brain state heterogeneity were analyzed.

Main Results:

Older adults exhibited significantly worse speech performance.
Reduced whole-brain network segregation, decreased amplitude of low-frequency fluctuations, and more heterogeneous brain states were observed in older adults.
Age-related differences in resting state brain patterns critically related to speech production differences.

Conclusions:

Resting state brain activity, particularly whole-brain network characteristics, may serve as a biomarker for age-related speech production changes.
While the language network remains stable, whole-brain network status becomes crucial for speech performance in aging.