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Related Experiment Video

Updated: Jul 3, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy

Published on: June 27, 2013

Lifespan trajectories of the brain's functional complexity characterized by multiscale sample entropy.

Dilmini Wijesinghe¹, Kirsten Lynch¹, Leon Aksman¹

¹USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine at USC, Los Angeles, CA, USA.

|July 1, 2026

Summary

Brain functional complexity, measured by resting-state fMRI, peaks in early adulthood and is linked to executive functions like inhibition and switching. This complexity may indicate information processing capacity.

Keywords:

Cognition Complexity Lifespan trajectories Multiscale sample entropy Resting-state fMRI

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Area of Science:

Neuroscience
Cognitive Science
Biomarkers

Background:

Resting-state functional magnetic resonance imaging (rs-fMRI) captures spontaneous brain activity.
Brain activity complexity may reflect information processing capacity.
Understanding lifespan changes in brain complexity is crucial.

Purpose of the Study:

To analyze the complexity of rs-fMRI time series across the lifespan using multiscale sample entropy (MSE).
To investigate the relationship between brain functional complexity and executive functions.
To identify potential non-invasive biomarkers for brain information processing.

Main Methods:

rs-fMRI data from 504 healthy individuals (ages 6-85) were analyzed.
Multiscale sample entropy (MSE) was used to quantify brain complexity.
Correlations between complexity measures and executive function tests (TMT, CWIT) were examined.

Main Results:

Brain functional complexity followed a nonlinear trajectory, peaking around age 23.
Peak complexity occurred later in males (26 years) than females (23 years).
Complexity in specific brain regions correlated with measures of executive functions like switching and inhibition.

Conclusions:

Brain functional complexity exhibits distinct developmental trajectories across the lifespan.
rs-fMRI complexity is associated with key executive functions.
rs-fMRI complexity shows potential as a non-invasive biomarker for brain information processing capacity.