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Related Experiment Video

Updated: Feb 28, 2026

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Frequency-Resolved Cortical Functional Connectivity Across the Adult Lifespan.

Santeri Ruuskanen¹, Juan Camilo Avendano-Diaz¹, Mia Liljeström^1,2

¹Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland.

Human Brain Mapping

|February 27, 2026

Summary

This summary is machine-generated.

Brain functional connectivity changes with age. Resting-state networks show frequency-specific alterations, with some decreasing and others increasing, impacting sensorimotor function.

Keywords:

aging brain oscillations functional connectivity lifespan magnetoencephalography meg resting‐state sensorimotor attenuation

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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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Last Updated: Feb 28, 2026

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

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

Published on: May 27, 2020

Area of Science:

Neuroscience
Cognitive Neuroscience
Human Brain Aging

Background:

Human brain function relies on synchronized neuronal activity within functional networks.
Disruptions in functional connectivity are linked to brain disorders, but healthy age-related changes are not well understood.
Resting-state functional connectivity (rs-FC) provides insights into brain network organization.

Purpose of the Study:

To investigate age-dependent variations in resting-state functional connectivity (rs-FC) across the adult lifespan.
To explore the behavioral relevance of these age-related rs-FC changes.
To understand how rs-FC evolves in healthy aging.

Main Methods:

Magnetoencephalography (MEG) recordings from 576 healthy adults aged 18-87 years.
Analysis of resting-state functional connectivity (rs-FC) across different frequency bands (delta, theta, alpha, beta, gamma).
Correlation of rs-FC patterns with sensorimotor attenuation.

Main Results:

Significant age-related changes in frequency-specific rs-FC were observed across cortical networks.
Alpha-band rs-FC decreased with age, while delta, theta, and gamma-band rs-FC increased.
Beta-band rs-FC showed a non-linear pattern, peaking in middle age.
Changes in rs-FC patterns were distinct from changes in oscillatory power.
Reduced beta-band rs-FC correlated with increased sensorimotor attenuation.

Conclusions:

Resting-state functional connectivity exhibits significant, frequency-dependent changes throughout healthy adulthood.
These age-related alterations in brain networks are behaviorally relevant, particularly for sensorimotor integration.
The study provides a comprehensive map of healthy brain aging and its impact on functional connectivity.