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Dynamic brain communication underwriting face pareidolia.

Valentina Romagnano1, Julian Kubon1, Alexander N Sokolov1

  • 1Social Neuroscience Unit, Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, Medical School and University Hospital, Eberhard Karls University of Tübingen, Tübingen 72076, Germany.

Proceedings of the National Academy of Sciences of the United States of America
|April 8, 2024
PubMed
Summary
This summary is machine-generated.

Face pareidolia, the tendency to see faces in non-face objects, involves a late-acting neural network. This network shows complex communication within the social brain and extended cortical regions during visual processing.

Keywords:
brain communicationface pareidoliagamma oscillationsmagnetoencephalographysocial cognition

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Visual Perception

Background:

  • Face pareidolia is the perception of faces in inanimate objects, indicating heightened sensitivity to facial features.
  • Understanding the underlying neural mechanisms of face pareidolia is crucial for insights into visual processing and social cognition.
  • Existing research on the brain networks involved in face pareidolia is limited.

Purpose of the Study:

  • To investigate the temporal dynamics and spatial distribution of neural activity during face pareidolia.
  • To identify the specific brain regions and connectivity patterns associated with perceiving faces in non-face stimuli.
  • To explore the role of gamma oscillations in the neural basis of face pareidolia.

Main Methods:

  • Magnetoencephalography (MEG) was used to record neuromagnetic activity.
  • Participants viewed non-face images presented in canonical or inverted orientations.
  • Analysis focused on gamma oscillatory activity (40-45 Hz and 80-85 Hz) and brain connectivity over time.

Main Results:

  • Early visual processing (40-45 Hz gamma) involved occipital regions for both face-pareidolia and non-face stimuli.
  • Later processing stages (80-85 Hz gamma) revealed differences in social brain areas for face pareidolia.
  • Time-resolved connectivity analysis demonstrated extensive feedforward and feedback communication within social and extended brain networks.

Conclusions:

  • Face pareidolia relies on a late-emerging neural network, primarily within the social brain.
  • The superior temporal sulcus and insula are key hubs, actively communicating with other regions during face perception.
  • These findings highlight the dynamic interplay of large-scale brain networks in face pareidolia.