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Brain Topography

, Volume 20, Issue 4, pp 278–283 | Cite as

Bayesian Models of Mentalizing

  • Rolando Grave de Peralta Menendez
  • Amal Achaïbou
  • Pierre Bessière
  • Patrik Vuilleumier
  • Sara Gonzalez Andino
Original Paper

Abstract

Surprisingly effortless is the human capacity known as “mentalizing”, i.e., the ability to explain and predict the behavior of others by attributing to them independent mental states, such as beliefs, desires, emotions or intentions. This capacity is, among other factors, dependent on the correct anticipation of the dynamics of facially expressed emotions based on our beliefs and experience. Important information about the neural processes involved in mentalizing can be derived from dynamic recordings of neural activity such as the EEG. We here exemplify how the so-called Bayesian probabilistic models can help us to model the neural dynamic involved in the perception of clips that evolve from neutral to emotionally laden faces. Contrasting with conventional models, in Bayesian models, probabilities can be used to dynamically update beliefs based on new incoming information. Our results show that a reproducible model of the neural dynamic involved in the appraisal of facial expression can be derived from the grand mean ERP over five subjects. One of the two models used to predict the individual subject dynamic yield correct estimates for four of the five subjects analyzed. These results encourage the future use of Bayesian formalism to build more detailed models able to describe the single trial dynamic.

Keywords

EEG Bayesian Mentalizing Emotional faces Modeling 

Notes

Acknowledgments

This work has been supported by the European Program FP6-IST-027140 (BACS). This paper only reflects the authors’ views and funding agencies are not liable for any use that may be made of the information contained herein.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Rolando Grave de Peralta Menendez
    • 1
    • 2
    • 3
  • Amal Achaïbou
    • 2
    • 4
  • Pierre Bessière
    • 5
  • Patrik Vuilleumier
    • 2
    • 4
  • Sara Gonzalez Andino
    • 1
    • 2
  1. 1.Electrical Neuroimaging Group, Department of Clinical NeuroscienceGeneva University HospitalGenevaSwitzerland
  2. 2.Department of Neuroscience and Clinic of NeurologyUniversity Medical CentreGenevaSwitzerland
  3. 3.Neurodynamics Laboratory, Department of Psychiatry and Clinical PsychobiologyUniversity of BarcelonaBarcelonaSpain
  4. 4.Laboratory for Neurology and Imaging of CognitionGenevaSwitzerland
  5. 5.CNRS - IMAG/GRAVIRGrenobleFrance

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