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Updated: May 21, 2026

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

Effects of age, task performance, and structural brain development on face processing.

Kathrin Cohen Kadosh1, Mark H Johnson, Frederic Dick

  • 1Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK. kathrin.cohenkadosh@psy.ox.ac.uk

Cerebral Cortex (New York, N.Y. : 1991)
|June 5, 2012
PubMed
Summary
This summary is machine-generated.

Brain activity for face processing changes with age, even when task performance is similar. White and gray matter changes correlate with these age- and performance-related brain activation shifts.

Keywords:
Brain developmentCortical specializationDevelopmental neuroimagingFace processing

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Last Updated: May 21, 2026

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Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Published on: February 14, 2014

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Science

Background:

  • Face processing is crucial for social interaction.
  • Brain development continues into adulthood, impacting cognitive functions.
  • Understanding age-related changes in brain networks is essential.

Purpose of the Study:

  • To investigate age- and performance-related changes in brain activity during face processing using functional MRI (fMRI).
  • To differentiate age-driven neural changes from those related to task performance.
  • To examine the relationship between brain structure (white and gray matter) and functional changes in face processing.

Main Methods:

  • Combined structural and functional MRI on 48 participants aged 7-37 years.
  • Three simple in-scanner face-processing tasks (identity, expression, gaze).
  • Three difficult out-of-scanner tasks to assess performance.
  • Novel analysis to distinguish age- from performance-related BOLD responses.

Main Results:

  • Core face network activated across all ages; additional regions showed age- and performance-related modulation.
  • Task-specific posterior activations increased with age, distinct from performance-related widespread activations.
  • Age-related changes in brain activation persisted even after controlling for performance differences.

Conclusions:

  • Face processing brain activity evolves across development, independent of performance gains.
  • Structural brain changes (white and gray matter) are associated with developmental shifts in face processing networks.
  • This study provides insights into the neural mechanisms underlying developmental changes in social cognition.