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Neural networks underlying visual illusions: An activation likelihood estimation meta-analysis.

Alessandro von Gal1, Maddalena Boccia2, Raffaella Nori3

  • 1Department of Psychology, Sapienza University of Rome, Rome, Italy.

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|August 17, 2023
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Summary

This study reveals the brain networks involved in visual illusions, highlighting common areas for static and motion illusions. These findings offer insights into perceptual inference and potential biomarkers for disorders like schizophrenia.

Keywords:
ALE meta-analysisAlzheimer's diseaseLewy body dementiaPerceptual inferenceSchizophreniaVisual illusionsVisual perceptionfMRI

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neuroimaging

Background:

  • Visual illusions are valuable tools for understanding visual perception and contextual integration.
  • Neuroimaging studies utilize illusions to map brain activity and functional connectivity during perception.

Conclusions:

  • Perceptual inference relies on integrated feed-back and feed-forward interactions within a distributed neural network.
  • This network's involvement in illusions suggests potential applications as biomarkers for conditions like schizophrenia.