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A brain network processing the age of faces.

György A Homola1, Saad Jbabdi, Christian F Beckmann

  • 1Department of Neuroradiology, University of Würzburg, Würzburg, Germany. homola@neuroradiologie.uni-wuerzburg.de

Plos One
|November 28, 2012
PubMed
Summary
This summary is machine-generated.

Researchers identified distinct brain regions in the posterior brain responsible for processing facial age. This discovery reveals a unique network for age perception, separate from areas processing other facial features.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Facial age is a critical social and cognitive cue, yet the specific brain regions involved in its processing remain largely unlocalized.
  • Existing research on face processing has primarily focused on core networks, leaving the neural basis of age perception understudied.

Purpose of the Study:

  • To identify and localize the specific brain regions responsible for processing changes in facial age.
  • To investigate the functional activation and structural connectivity of these age-processing brain areas.
  • To explore the relationship between brain network connectivity and the ability to accurately estimate facial age.

Main Methods:

  • Utilized functional magnetic resonance imaging (fMRI) with dynamic face morphs to observe brain activity.
  • Employed probabilistic tractography to analyze structural connectivity between identified brain regions.
  • Correlated functional activation patterns with the probability of fiber connectivity.

Main Results:

  • Identified two distinct brain areas in the inferior temporal sulci and angular gyri, extending beyond the core face network, that process facial age.
  • Discovered that the ventral portion of Wernicke's perpendicular association fasciculus interconnects these two areas.
  • Found a correlation between activation in these clusters and the probability of fiber connectivity, with higher left angular gyrus activation linked to age-rating competence.

Conclusions:

  • Provides the first evidence for a distinct neural representation pattern for facial age in the posterior human brain.
  • Proposes a model where face-sensitive nodes interact with object-unselective quantification modules for age estimation.
  • Highlights a novel brain network for processing facial age, distinct from areas processing transient facial features, and demonstrates a method for linking brain activation to connectivity.