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Related Experiment Video

Updated: Jul 3, 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

Increased brain signal variability accompanies lower behavioral variability in development.

Anthony Randal McIntosh¹, Natasa Kovacevic, Roxane J Itier

¹Rotman Research Institute of Baycrest Centre, University of Toronto, Toronto, Ontario, Canada. rmcintosh@rotman-baycrest.on.ca

Plos Computational Biology

|July 8, 2008

Summary

This summary is machine-generated.

Brain maturation increases neural complexity and functional variability, enhancing cognitive performance. This brain signal variability is a key indicator of cognitive capacity.

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Published on: June 27, 2013

Area of Science:

Neuroscience
Cognitive Science
Developmental Psychology

Background:

Brain maturation optimizes cognitive functions, typically shown by improved accuracy and reduced response variability.
It remains unclear if underlying brain dynamics also exhibit reduced variability with age.

Purpose of the Study:

To investigate the relationship between brain electrical activity variability and face memory task performance in children and young adults.
To determine if brain signal variability changes with age and correlates with behavioral performance.

Main Methods:

Electroencephalography (EEG) was used to measure single-trial evoked electrical activity in the brain.
Participants included children (8-15 years) and young adults (20-33 years) performing a face memory task.
Behavioral measures included response time (RT) variability and recognition accuracy.

Main Results:

Children exhibited slower, more variable RTs and lower accuracy compared to adults.
Brain signal variability increased with age across participants.
Increased brain signal variability correlated negatively with intrasubject RT variability and positively with accuracy.

Conclusions:

Brain maturation is associated with increased functional variability, suggesting enhanced neural complexity.
Greater moment-to-moment brain activity variability may reflect a more flexible repertoire of brain states, enabling optimal cognitive responses.
Brain signal variability serves as a critical index of cognitive capacity.