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Emotion dynamics as hierarchical Bayesian inference in time.

Gargi Majumdar¹, Fahd Yazin¹, Arpan Banerjee¹

¹Cognitive Brain Dynamics Lab, National Brain Research Centre, NH 8, Manesar, Gurgaon, Haryana 122052, India.

Cerebral Cortex (New York, N.Y. : 1991)

|August 28, 2022

Summary

This summary is machine-generated.

Emotional dynamics are driven by uncertainty estimation. The lateral orbitofrontal cortex (lOFC) tracks this uncertainty, predicting anxiety and revealing how emotions arise from predicting future outcomes.

Keywords:

Bayesian inference emotion dynamics emotional states orbitofrontal cortex uncertainty

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Area of Science:

Neuroscience
Computational Psychiatry
Affective Science

Background:

Accurate uncertainty estimation is vital for perception, learning, and decision-making.
The role of uncertainty in affective dynamics remains largely unexplored.
Emotions are complex and influenced by environmental factors.

Purpose of the Study:

To investigate the fundamental property of uncertainty in characterizing emotional dynamics.
To explore the neural mechanisms underlying the relationship between uncertainty and emotion.
To determine if uncertainty estimation is central to complex emotions.

Main Methods:

Bayesian encoding, decoding, and computational modeling were employed.
Large-scale neuroimaging and behavioral data from a passive movie-watching task were analyzed.
Hierarchical neural architecture and functional connectivity were examined.

Main Results:

Emotions arise from ongoing uncertainty estimations about future outcomes within a hierarchical neural architecture.
Prefrontal subregions hierarchically encoded uncertainty signals, with the lateral orbitofrontal cortex (lOFC) tracking temporal fluctuations.
lOFC activity predicted anxiety predisposition, and distinct functional connectivity patterns were observed within the orbitofrontal cortex (OFC).

Conclusions:

Uncertainty estimation is a fundamental property driving emotional dynamics.
The lOFC plays a crucial role in tracking and predicting emotional states based on uncertainty.
Uncertainty is proposed as a central parameter in defining complex emotions.